University campus in North Carolina
Updated July 13, 2026

Best Machine Learning Degree Programs in North Carolina, 2026 Rankings

Compare the top machine learning colleges in North Carolina. 26 accredited machine learning schools ranked by graduation rate, career outcomes, and value, from Wayne Community College to University of North Carolina at Chapel Hill.

#1 ProgramU of North Carolina at Ch...
Avg Salary$107,340
Tuition From$2,432/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

40

Programs ranked

IPEDS 2024

$107,340

North Carolina median machine learning salary

BLS OEWS 2024

89/100

Top program score

Hakia methodology

23%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best machine learning degree programs: U of North Carolina at Ch..., Duke, U of North Carolina at Ch...

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $1,000 to $63,608/year

Wayne Community College offers the most affordable option at $2,432/yr

IPEDS 2024

Machine Learning degree programs available: 1 associate's, 9 master's, 5 doctoral in North Carolina

From community college pathways to advanced research degrees

IPEDS 2024

15 online machine learning degree programs in North Carolina

Flexible scheduling for working professionals

IPEDS 2024

North Carolina community college transfer can save 40-60% on total degree costs

1 associate's programs provide transfer pathways to bachelor's degrees

Education Commission of the States

Major employers: IBM, Cisco, Red Hat, SAS

Tech hubs in Raleigh and Charlotte

Hakia Research 2026

Machine Learning degree programs near 92+ cities across North Carolina

Search by city to find programs within 200 miles of your location

IPEDS 2024

Updated July 13, 2026

How we ranked North Carolina Machine Learning programs

We rank 40 accredited machine learning programs in North Carolina using IPEDS 2024 institutional data, BLS OEWS 2024 state salary data, and College Scorecard outcomes. A 4-factor weighted composite is normalized to a 0–100 score. Schools cannot pay for placement; rankings are produced algorithmically.

Program completions (35%)Graduation rate (25%)Selectivity (20%)Career outcomes (20%)
See full methodology

Are Machine Learning Degree Programs in North Carolina Worth It?

Answer
$107,340
Yes. The best machine learning degree programs in North Carolina deliver strong ROI, graduates earn $107,340 median salary with +22% job growth through 2032. In-state tuition averages $19,084/year.

Source: BLS OEWS May 2024

Machine Learning Degree Rankings in North Carolina

Compare the top-ranked Machine Learning programs in North Carolina by degree level. Tuition, graduation rate, and Hakia Score for every accredited program.

Best Associate's Machine Learning Programs in North Carolina

1
Programs ranked
$2,432
Avg tuition/yr
0%
Avg grad rate

Program Landscape

North Carolina offers 1 accredited associate's degree programs in machine learning, providing an affordable entry point into the technology field. The top-ranked programs include Wayne Community College, which combine rigorous technical curriculum with practical skills training.

Costs & Value

Community colleges in North Carolina offer these two-year programs at an average cost of $2,432/yr, significantly less than four-year university tuition. Students completing associate's degrees can pursue entry-level technical positions and transfer opportunities, with entry-level salaries averaging $59,037 in North Carolina.

Career Pathways

Many programs feature guaranteed transfer agreements with North Carolina's public universities, allowing students to complete their first two years at reduced cost before transferring to complete a bachelor's degree. The Raleigh, Charlotte, Durham areas offer particularly strong job markets for associate's degree holders, with employers like IBM, Cisco, Red Hat hiring for technical support, junior development, and IT specialist positions.

Curriculum & Specializations

Programs typically include coursework in programming fundamentals, database management, networking basics, and software development. Among machine learning schools in North Carolina, these associate's programs offer the best value for students beginning their machine learning degrees in North Carolina.

Best Bachelor's Machine Learning Programs in North Carolina

25
Programs ranked
$19,751
Avg tuition/yr
86%
Avg grad rate

Program Landscape

North Carolina ranks among the nation's top destinations for machine learning education, with 25 accredited bachelor's degree programs across 14 public and 11 private institutions. The highest-ranked programs are U of North Carolina at Ch..., Duke, U of North Carolina at Ch..., recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from North Carolina machine learning programs earn a median salary of $91,239, 7% below the national average. The state's robust technology sector, anchored by the Raleigh, Charlotte, Durham metropolitan areas, provides abundant internship and employment opportunities with companies including IBM, Cisco, Red Hat.

Costs & Value

Tuition ranges from $1,000 to $63,608 annually, with an average of $19,751/yr. Top programs maintain graduation rates above 86%, with the highest reaching 100%. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards.

Curriculum & Specializations

Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to North Carolina's leading technology employers. For students seeking machine learning degrees in North Carolina, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

#5
Davidson College
Davidson, NCPrivate
$59,510
Tuition/yr
100%
Grad rate
73.0
Hakia Score
Show all 25 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Wake Forest UniversityWinston-Salem, NCPrivate$63,60897%72.1
#7North Carolina A & T State UniversityGreensboro, NCPublic$3,54084%60.4
#8University of North Carolina WilmingtonWilmington, NCPublic$4,44379%59.3
#9Elon UniversityElon, NCPrivate$44,02994%54.9
#10Appalachian State UniversityBoone, NCPublic$4,24278%54.9
#11Elizabeth City State UniversityElizabeth City, NCPublic$1,00099%49.9
#12Western Carolina UniversityCullowhee, NCPublic$1,00095%49.1
#13Fayetteville State UniversityFayetteville, NCPublic$1,00086%48.1
#14High Point UniversityHigh Point, NCPrivate$38,74876%47.0
#15Shaw UniversityRaleigh, NCPrivate$12,40845.4
#16Carolina UniversityWinston-Salem, NCPrivate$13,40059%44.4
#17Gardner-Webb UniversityBoiling Springs, NCPrivate$32,47093%44.3
#18University of North Carolina at GreensboroGreensboro, NCPublic$4,42243.2
#19East Carolina UniversityGreenville, NCPublic$4,45246.1
#20University of North Carolina at PembrokePembroke, NCPublic$1,00039.6
#21Winston-Salem State UniversityWinston-Salem, NCPublic$3,40137.6
#22Methodist UniversityFayetteville, NCPrivate$38,93636.8
#23University of North Carolina AshevilleAsheville, NCPublic$4,12237.1
#24Meredith CollegeRaleigh, NCPrivate$43,81635.2
#25Catawba CollegeSalisbury, NCPrivate$33,40034.0

Best Master's Machine Learning Programs in North Carolina

9
Programs ranked
$17,898
Avg tuition/yr
86%
Avg grad rate

Program Landscape

North Carolina offers 9 master's degree programs in machine learning, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, North Carolina State Univ..., U of North Carolina at Ch..., U of North Carolina at Ch..., combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in North Carolina earn a median salary of $107,340, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Raleigh, Charlotte, Durham creates strong demand for graduate-level talent, with IBM, Cisco, Red Hat actively recruiting from these programs.

Costs & Value

Program formats include traditional full-time study (typically 2 years), part-time options for working professionals (2-3 years), and accelerated tracks. Tuition averages $17,898/yr, with many employers offering tuition reimbursement for graduate education. Some programs offer thesis and non-thesis tracks, allowing students to focus on research or professional development based on their career goals.

Curriculum & Specializations

Curriculum covers advanced topics including machine learning, distributed systems, software architecture, and technical management. Many programs include practicum experiences, industry capstone projects, or consulting engagements that provide real-world application of advanced concepts. Among North Carolina's machine learning schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Show all 9 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6North Carolina A & T State UniversityGreensboro, NCPublic$3,54084%58.0
#7University of North Carolina at GreensboroGreensboro, NCPublic$4,42243.6
#8Appalachian State UniversityBoone, NCPublic$4,24278%48.1
#9East Carolina UniversityGreenville, NCPublic$4,45242.6

Best Doctoral Machine Learning Programs in North Carolina

5
Programs ranked
$16,993
Avg tuition/yr
87%
Avg grad rate

Program Landscape

North Carolina is home to 5 doctoral programs in machine learning, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at North Carolina State Univ..., U of North Carolina at Ch..., Duke are recognized for cutting-edge research, strong faculty publications, and competitive funding packages.

Career Outcomes

Doctoral graduates command premium salaries, with North Carolina PhD holders earning a median of $134,175, reflecting the advanced expertise required for research and executive positions. The Raleigh, Charlotte, Durham region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like IBM, Cisco, Red Hat.

Costs & Value

PhD programs typically require 4-6 years of full-time study, including coursework, qualifying examinations, and original dissertation research. Many programs offer full funding through teaching or research assistantships, covering tuition and providing stipends of $25,000–$40,000 annually.

Curriculum & Specializations

Research strengths across North Carolina programs include artificial intelligence, cybersecurity, human-computer interaction, systems, and theoretical computer science. For aspiring researchers pursuing machine learning degrees in North Carolina, graduates go on to careers as university faculty, industry research scientists, or technical executives, contributing to advances in technology that impact millions of users worldwide.

Machine Learning Degree Costs & Tuition in North Carolina

MetricValue
Average in-state tuition$19,084/year
Average out-of-state tuition$47,710/year
Community college tuition$4,771/year
4-year savings for residents$114,504
2+2 transfer pathway savings$28,626

Source: IPEDS 2024

Financial Aid for North Carolina Machine Learning Students

Verdict: North Carolina ML students benefit from one of the most distinctive US ML-engineering positions: SAS Institute Cary (one of the largest US analytics-and-ML software companies, with substantial NC State Computer Science direct partnership), Apple's $1B+ RTP campus expansion (adding 3,000+ engineering jobs through 2027 with substantial ML/AI concentration), IBM RTP (multi-decade ML research depth), plus strong NC State + UNC + Duke ML research depth. Combined with the Carolina Covenant (UNC), Pack Promise (NC State), and University Promise (UNC Charlotte), all providing debt-free graduation pathways for Pell-eligible students, North Carolina ML education delivers exceptional outcomes-to-cost economics.

NC Carolina Covenant (UNC Chapel Hill) provides debt-free graduation for Pell-eligible NC residents at UNC Chapel Hill. NC State Pack Promise provides similar debt-free pathway at NC State. UNC Charlotte University Promise extends to Charlotte-area Pell-eligible students. In-state tuition at NC State and UNC Chapel Hill is exceptional value (under $9,500/year for NC State CS, under $9,000/year for UNC CS), particularly relative to comparable ML research depth at private institutions.

North Carolina's ML-specific institutional aid and research depth is concentrated at: NC State University CS-ML with substantial ML research depth and the unique SAS Institute direct relationship, NC State has substantial SAS-funded research, joint faculty positions, and one of the most direct undergraduate→analytics-and-ML-software industry pipelines in the US. Duke University CS-ML + Duke MEDx Initiative for healthcare-ML applications. UNC Chapel Hill CS-ML with growing research depth. UNC Charlotte CS-ML with substantial Charlotte banking and financial-services ML industry partnerships. North Carolina A&T State University (HBCU) has growing CS-ML programs with substantial scholarship support.

The SAS Institute + NC State pipeline is the distinctive North Carolina ML funding dynamic, SAS Institute (Cary) has substantial NC State CS partnership including joint research, SAS-funded scholarships and graduate research assistantships, and one of the most direct US undergraduate→ML-software-industry pipelines (NC State graduates regularly join SAS engineering and research operations directly). Industry-track scholarships from North Carolina-based ML employers, SAS Institute, Apple RTP ML engineering, IBM RTP ML research, Bank of America ML (Charlotte), Cisco RTP applied-ML, Lenovo ML (Morrisville HQ), Red Hat applied-ML, LabCorp / Quintiles ML for clinical research, Fidelity Charlotte ML, Truist financial-services ML, provide additional funding most students don't pursue.

Machine Learning Degree ROI Calculator, North Carolina

Use our interactive ROI calculator to estimate your return on investment for a machine learning degree in North Carolina. Enter your expected tuition costs, financial aid, and career goals to see projected payback periods and lifetime earnings. The calculator uses current salary data from BLS and tuition data from IPEDS to provide accurate estimates.

Machine Learning Degree ROI Calculator

Estimate your return on investment for a machine learning degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+854%

Net gain divided by total investment. ROI above 200% is considered excellent for education investments.

Net Gain

$1,580,373

Your additional lifetime earnings with this degree vs. working without one, minus the total investment.

Break-Even

5 years

Years until your cumulative earnings exceed total investment. Shorter programs often break even faster due to lower opportunity cost.

COL-Adjusted Salary

$142,105

Your starting salary adjusted for local cost of living. This shows real purchasing power compared to a $100K national baseline.

Why does break-even change with program type? Your "total investment" includes both tuition AND opportunity cost (foregone earnings while in school). A 4-year full-time public university (in-state) means 4 years of not earning a salary ($140,000 in opportunity cost). Shorter full-time programs may have higher tuition but lower total investment because you return to the workforce sooner.

Detailed Breakdown

How we calculate your degree ROI using real salary data

Total Investment$185,000

Tuition plus opportunity cost (earnings you miss while in school)

Program Cost (Tuition)$45,000

Direct cost of the degree program

Opportunity Cost$140,000

4 years × $35K/year foregone salary while studying full-time

20-Year Earnings (with degree)$2,615,781

Projected career earnings starting after graduation, with salary growth

20-Year Earnings (without degree)$850,408

What you'd earn working at $35K/year with 2% annual growth

Starting Salary (Raleigh-Durham, NC)$135,000

Median salary for this role in your selected location (BLS 2024)

Annualized Return4.7%

Your investment's compound annual growth rate (similar to stock market returns)

Data sources: BLS OEWS May 2024, IPEDS 2024. Calculations use median salaries, 3% discount rate, and assume salary growth declines from 6% to 2% over career. Individual results will vary. | Powered by Hakia.com

Machine Learning Salaries by Metro Area

Median annual salary in North Carolina metro areas

Raleigh$118K
Charlotte$113K
Durham$107K
View data table
CategoryValue
Raleigh$118K
Charlotte$113K
Durham$107K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Machine Learning Graduates in North Carolina

Find machine learning jobs in North Carolina. These major employers across North Carolina metro areas are actively hiring machine learning degree holders. Click employer names to view current job openings.

Machine Learning Jobs in raleighDurham

NC
IBM
Enterprise Technology
Cisco Systems
Networking & Cybersecurity
SAS Institute
Analytics Software
Red Hat
Open Source Software
Epic Games
Game Development
Apple
Consumer Technology
NetApp
Data Storage
Fidelity Investments
Financial Services

Machine Learning Jobs in Charlotte

NC

Charlotte is the second-largest banking center in the US. Bank of America and Wells Fargo drive fintech demand.

Nearby cities: Huntersville, Concord, Matthews, Gastonia, Rock Hill, Mooresville

Bank of America
Banking & Fintech
Coinbase
Cryptocurrency
nCINO
Banking Software

North Carolina Tech Industry & Infrastructure

North Carolina's Research Triangle (Raleigh-Durham-Chapel Hill) is one of the densest US tech corridors per capita, anchored by three major research universities (NC State, Duke, UNC Chapel Hill) and a 7,000-acre Research Triangle Park hosting hundreds of tech employers. Charlotte separately operates as a top-tier US financial-services tech hub.

Research Triangle

Raleigh-Durham-Chapel Hill metros

Home to SAS Institute (analytics), IBM Research Triangle Park, Cisco, Red Hat (now IBM), Lenovo Americas HQ, Epic Games, Citrix, Bandwidth, and the Research Triangle Park complex. NC State CS, Duke CS, and UNC computer science all feed the local market — combined a top-10 US CS graduate pipeline.

Charlotte

Charlotte metro

Bank of America HQ and a top-3 US banking center. Wells Fargo, Truist, LendingTree, and dense fintech employment. Charlotte tech is heavily financial-services-coded; less consumer/startup but exceptionally stable employment.

Asheville / Western NC

Asheville metro

Smaller but growing remote-work and outdoor-industry tech market; not a primary tech destination but increasingly relevant for lifestyle-driven talent.

North Carolina has a flat state income tax (4.5% in 2026, scheduled to decline further). The NC Job Development Investment Grant (JDIG) and One NC Fund are the principal tech-employer incentives — Apple's $1B+ RTP campus relocation was supported by these programs.

North Carolina Regulation Affecting Machine Learning Graduates

North Carolina has been more active on legislation around identity theft, biometrics, and AI in employment than on broad consumer privacy. The state's regulatory environment is generally employer-favorable but has tightened on data security since several high-profile state-government breaches.

NC Identity Theft Protection Act

Requires businesses to notify NC residents of data security breaches and sets minimum data-handling and disposal standards for personal information.

Standard breach-response compliance for any NC-resident-serving business; minimum technical standards have informed security-program design at NC-headquartered employers.

Read more

NC Computer Trespass Statute (N.C.G.S. § 14-453 et seq.)

State cybercrime law parallel to federal CFAA; covers unauthorized computer access, computer-related fraud, and damage to data.

Relevant for cybersecurity professionals doing incident response, penetration testing, or security research within NC.

Read more

NC Insurance Data Security Act

Adopted from the NAIC model; requires insurers and insurance-adjacent businesses to maintain comprehensive information security programs with risk assessments, incident response plans, and third-party oversight.

Drives security-engineering hiring at Charlotte-based insurance and financial-services employers; sets the technical bar for NC financial-services security teams.

Read more

Professional Engineer Licensure in North Carolina

North Carolina does not currently administer a separate Software Engineering PE license. Standard engineering disciplines require ABET-EAC accreditation for PE eligibility; software engineering is not a recognized NC PE discipline. NC State's ABET-EAC software engineering program does qualify graduates for engineering tracks at federal agencies that recognize software engineering as engineering.

North Carolina licensing board

North Carolina Financial Aid Programs

Up to $11,150/yr

NC residents with demonstrated financial need at NC private colleges/universities

Varies by institution and need; averages ~$3,500/yr

NC residents with financial need attending one of 16 UNC System universities

Up to $5,100/yr at 4-year, $2,800/yr at community college

NC residents at NC public 2-year and 4-year institutions with financial need

Up to $2,800/yr

NC residents at NC community colleges with financial need

Transfer Pathways for North Carolina Machine Learning Students

Verdict: North Carolina's Comprehensive Articulation Agreement (CAA) between the North Carolina Community College System (NCCCS) and the UNC System provides robust ML-track transfer pathways at the foundational level. The ML-specific consideration is that UNC Chapel Hill CS and NC State CS-ML transfer admission is competitive while UNC Charlotte, UNC Greensboro, UNC Wilmington, NC A&T, East Carolina University, and Appalachian State have substantially more accessible ML-track transfer admission.

Best North Carolina community college ML-track-feeder schools: Wake Technical Community College (largest NCCCS institution, strong NC State pipeline with refined ML-prerequisite mathematics, geographically adjacent to Raleigh/RTP for direct SAS and Apple RTP exposure), Central Piedmont Community College (CPCC) (Charlotte, strong UNC Charlotte pipeline with banking-ML industry exposure), Wake Tech RTP Campus specifically (positioned in Research Triangle Park for direct industry exposure), Durham Technical Community College (Durham, geographically adjacent to Duke + NC Central, strong Duke and NC Central pathways), Forsyth Technical Community College (Winston-Salem, strong Wake Forest and UNC Greensboro pathways), Cape Fear Community College (Wilmington, strong UNC Wilmington pathway). Each has refined ML-prerequisite mathematics and intro-CS sequences via CAA articulation.

The Wake Tech → NC State CS-with-ML-emphasis pathway is the most reliable North Carolina community college progression, Wake Tech is geographically adjacent to NC State and RTP, has refined CS prerequisite sequences aligned to NC State's program, and produces graduates with substantial SAS Institute, Apple RTP, and IBM RTP industry placement. NC State CS transfer admission is moderately competitive (25-40%). The CPCC → UNC Charlotte CS-with-ML pathway is the most reliable Charlotte-area progression with substantial banking-ML industry placement.

Beyond NC State: UNC Chapel Hill CS transfer admission is competitive (15-25%) but UNC has growing ML research depth. Duke University CS transfer admission is genuinely difficult (under 15%) but Duke MEDx healthcare-ML initiative is substantial. UNC Charlotte CS-ML has accessible transfer admission and substantial Charlotte banking-ML industry placement. NC A&T State University (HBCU) has growing CS-ML programs with substantial scholarship support. East Carolina University, Appalachian State, and Western Carolina are the affordable comprehensive alternatives. Wake Forest University has growing CS programs with ML-emphasis at small-private scale. For North Carolina ML-track students, the NC State pathway is the SAS Institute + RTP industry optimization with exceptional in-state tuition; UNC Charlotte is the Charlotte banking-ML optimization; Duke is the elite healthcare-ML optimization; UNC Chapel Hill is the strong public flagship optimization.

Machine Learning Job Growth in North Carolina

17%
The Bureau of Labor Statistics projects 17% growth for machine learning occupations in North Carolina through 2023-2033. The median salary stands at $107,340 with 26 accredited programs statewide.

Source: BLS Occupational Outlook

North Carolina Machine Learning Engineer Job Market & Salary

Verdict: North Carolina has a substantial and growing ML engineer job market with three distinct clusters: Research Triangle Park (RTP) tech-ML, anchored by SAS Institute (one of the largest US analytics-and-ML software companies, with substantial production-ML engineering for SAS Viya ML products), Apple's $1B+ RTP campus expansion (adding 3,000+ engineering jobs through 2027 with substantial ML/AI concentration), IBM RTP (multi-decade ML research depth), Cisco RTP applied-ML, Red Hat applied-ML, plus growing RTP ML startup ecosystem, and Charlotte's banking and financial-services ML cluster, anchored by Bank of America ML (one of the largest US bank ML organizations), Truist financial-services ML, Fidelity Charlotte ML, plus the substantial Charlotte fintech ecosystem, and growing healthcare-ML at Duke MEDx, LabCorp / Quintiles clinical-research ML, and the broader RTP healthcare-tech cluster.

By metro: Raleigh-Durham (RTP) averages ~$170,000-$230,000 for ML engineer roles per Levels.fyi with substantial concentrations at SAS Institute (Cary, one of the largest US analytics-and-ML software companies, employing substantial ML engineering workforce across SAS Viya ML products, SAS Visual Analytics, plus enterprise ML consulting). Apple RTP is the substantial new employer, $1B+ campus expansion adding 3,000+ engineering jobs through 2027 with substantial ML engineering concentration. IBM RTP is the historical employer, multi-decade ML research depth. Cisco RTP for networking-ML applications. Red Hat for applied-ML in open-source enterprise software. Lenovo (Morrisville HQ) for ML in PC and server products.

Charlotte averages ~$160,000-$210,000 for ML engineer roles with Bank of America ML as the substantial employer, one of the largest US bank ML organizations with substantial ML engineering workforce across credit-risk ML, fraud detection ML, customer-experience ML, and applied banking ML. Truist financial-services ML following the BB&T + SunTrust merger. Fidelity Charlotte ML for asset-management ML. Wells Fargo Charlotte ML. Honeywell Charlotte ML for industrial applications. Albemarle Corporation ML for chemicals applications. Plus growing Charlotte fintech ML ecosystem. Greensboro/Winston-Salem has growing applied-ML at Volvo Group (industrial ML), Reynolds American (consumer products ML), and Honda Aircraft Greensboro (aerospace ML).

Three North Carolina ML-specific dynamics: (1) SAS Institute's direct NC State CS partnership produces a structurally unique undergraduate→industry pipeline, NC State CS graduates regularly join SAS engineering and research operations directly, with substantial SAS-funded scholarships and graduate research assistantships throughout the NC State CS program. (2) Apple RTP's substantial expansion through 2027 is one of the largest US tech-company ML engineering expansions outside the Bay Area or Seattle, providing genuine non-FAANG-headquarters-located ML engineering employment scale. (3) Charlotte banking ML hiring continued aggressive expansion through 2022-2024 broader tech downturns, providing exceptional career stability for Charlotte-area ML engineers during periods when commercial-tech ML hiring contracted substantially. See Machine Learning Engineer Career Guide and AI/ML Engineer Career Guide.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in North Carolina$69,771$155,643
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Machine Learning Programs in North Carolina

Online Programs

15 available in North Carolina

On-Campus Programs

Traditional classroom experience

Typical Tuition$17,176/yr$19,084/yr
Schedule FlexibilitySelf-paced or asyncFixed schedule
NetworkingVirtual cohortsIn-person, career fairs
Best ForWorking professionalsTraditional students
Completion Time2-4 years (flexible)4 years (standard)

Compare Machine Learning Programs in Other States

Machine Learning Degree Programs in North Carolina: FAQ

What are the best machine learning degree programs in North Carolina?
The best machine learning degree programs in North Carolina based on our methodology are: 1) University of North Carolina at Chapel Hill (93% graduation rate), 2) Duke University, and 3) University of North Carolina at Charlotte. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). North Carolina offers 26 total accredited programs across 15 public and 11 private institutions. See our complete rankings for all 25 bachelor's programs.
How much do machine learning degree programs cost in North Carolina?
Machine Learning degree program costs in North Carolina vary significantly by institution type. In-state public tuition averages $19,084/year, while private institutions average $41,985/year. Community colleges offer the most affordable path at approximately $4,771/year for associate's degrees. The total 4-year cost ranges from $76,336 at public schools to $167,939 at private institutions before financial aid. Most students don't pay full sticker price, federal grants, state aid, and institutional scholarships can reduce costs by 30-60%.
What salary can machine learning degree graduates earn in North Carolina?
Machine Learning professionals in North Carolina earn a median salary of $107,340, which is competitive with the national average of $115,500. Entry-level positions typically start around $69,771, while senior roles exceed $155,643. Salaries vary by metro area: Raleigh ($118,074), Charlotte ($112,707) offer the highest compensation. Specialized roles like AI/ML engineers and cloud architects command premiums of 15-30% above median.
Are there online machine learning degree programs in North Carolina?
Yes, North Carolina offers 15 accredited online Machine Learning programs from state institutions. These programs award the same degree as on-campus options and include synchronous and asynchronous formats. Top-ranked online programs include offerings from North Carolina State University at Raleigh and Duke University. Online programs typically cost the same as on-campus tuition for in-state students. Many programs offer flexible scheduling for working professionals, with some offering accelerated completion in 2-3 years. Ensure any online program holds regional accreditation and ideally ABET accreditation for engineering programs.
What companies hire machine learning degree graduates in North Carolina?
Major Machine Learning employers in North Carolina include IBM, Cisco, Red Hat, SAS, Epic Games. The Raleigh and Charlotte metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from North Carolina universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. North Carolina's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a machine learning degree program worth it in North Carolina?
A machine learning degree program in North Carolina offers strong ROI with a $107,340 median salary and +22% projected job growth. At average in-state tuition of $19,084/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($121,294), data science, cybersecurity, and AI/ML. Beyond salary, benefits include job security, remote work flexibility, and clear advancement paths. Alternative paths like bootcamps exist for career changers, but bachelor's degrees provide broader career options and higher lifetime earnings.
How long do machine learning degree programs take in North Carolina?
Standard completion times for machine learning degree programs in North Carolina are: Associate's (2 years, 60 credits), Bachelor's (4 years, 120 credits), and Master's (1-2 years, 30-36 credits). However, actual timelines vary based on course load, transfer credits, and program format. Accelerated programs can compress a bachelor's to 3 years or a master's to 12 months. Part-time students typically need 5-6 years for a bachelor's degree. North Carolina community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a North Carolina university for the final 2 years of a bachelor's program.
What financial aid is available for machine learning degree students in North Carolina?
North Carolina machine learning degree students can access multiple financial aid sources. Federal aid includes Pell Grants (up to $7,395/year for qualifying students) and federal student loans. North Carolina state grants provide additional support for residents attending in-state schools. Institutional scholarships from universities can significantly reduce costs, many schools offer merit-based awards for STEM students. Work-study programs and teaching/research assistantships (especially for graduate students) provide income while building experience. Complete the FAFSA by North Carolina's priority deadline to maximize aid eligibility. Some employers also offer tuition reimbursement for employees pursuing CS degrees.

Data Sources

Institutional characteristics, completions, graduation rates

North Carolina salary and employment data

Official University Websites

Program details and admissions information

Last Updated: June 26, 2026. Rankings based on IPEDS 2024 data. Salary data from BLS OEWS May 2024.

Was this ranking helpful for your college search?
Taylor Rupe

Taylor Rupe

Co-founder & Editor (B.S. Computer Science, Oregon State • B.A. Psychology, University of Washington)

Taylor combines technical expertise in computer science with a deep understanding of human behavior and learning. His dual background drives Hakia's mission: leveraging technology to build authoritative educational resources that help people make better decisions about their academic and career paths.

The research behind the rankings

In-depth Machine Learning program profiles in North Carolina

Hand-researched detail on the top-ranked programs: degree pathways, research labs, industry partners, career outcomes, and admissions. Tap any school to expand.

Best Associate's Machine Learning programs

#1Wayne Community CollegeGoldsboro, NC

Why it stands out. Wayne Community College offers a fully online AI Engineer program with accelerated project completion timelines, allowing students to implement complete AI solutions from concept to deployment within just 16 weeks.

Hakia insight. Wayne Community College's 16-week project-based AI Engineer program (fully online) compresses what traditionally takes 18–24 months into a sprint where students deploy end-to-end AI solutions, a pace that appeals to workers in the $118.6B AI industry who can't afford lengthy retraining.

At the associate's level, wayne Community College's Artificial Intelligence Engineer program addresses the rapidly growing AI industry, predicted to reach $118.6 billion by 2025. This 100% online program provides comprehensive training in AI concepts, machine learning techniques, and modern AI tools. Students learn to design, implement, and support AI solutions while gaining proficiency in Python programming specifically for AI applications. The program combines theoretical foundations with practical application, enabling students to complete AI projects from definition through implementation within 16 weeks. With small class sizes of 15-20 students, the program offers personalized attention while preparing graduates for careers across banking, finance, engineering, manufacturing, healthcare, and logistics sectors. The curriculum emphasizes hands-on experience with cutting-edge technologies including IoT, face recognition, voice recognition, and big-data analysis.

Programs offered

  • Associate of Science in Machine Learning · 2 years · on-campus
  • Associate of Applied Science in Machine Learning · 2 years · online

Notable faculty

  • Jennifer Tyndall (Information Systems Technology)

Accreditation & certifications

Artificial Intelligence Fundamentals CertificatePython Programming for AI Certificate

Location advantage: Located in Goldsboro, NC with access to diverse industries 100% online format provides flexibility for working professionals

Best Bachelor's Machine Learning programs

#1University of North Carolina at Chapel HillChapel Hill, NC

Why it stands out. The curriculum provides in-depth exposure to quantitative topics and opportunities for direct application through four-course concentrations, upper-level electives, mentored research, and internship opportunities with a focus on ethical practice and responsible data science.

Hakia insight. UNC Chapel Hill's emphasis on four-course concentrations and ethical practice, backed by faculty like Kristen Hassmiller Lich who research AI fairness, means graduates can articulate both technical depth and responsible AI principles—increasingly non-negotiable for roles at companies facing regulatory pressure.

At the bachelor's level, the bachelor of science (B.S.) in data science provides students with a strong foundation in preparation for entry to the workforce or pursuit of an advanced degree. The B.S. in data science is comprised of six competencies: responsible data science, communication, computational thinking, mathematical and statistical foundations, optimization, and machine learning and artificial intelligence (AI).

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Notable faculty

  • Dr. Kristen Hassmiller Lich (artificial intelligence, machine learning and data science)
  • Dr. Lisa M. LaVange (artificial intelligence, machine learning and data science)
  • Dr. Kari North (artificial intelligence, machine learning and data science)
  • Dr. Hongtu Zhu (artificial intelligence, machine learning and data science)

Admissions

GPA 2.000.

#2Duke UniversityDurham, NC

Why it stands out. Duke's unique immersive environment focuses on turning AI models into market-ready products through hands-on learning with real datasets, users, and engineering pipelines from the first semester, blending AI, full-stack software, product strategy and responsible innovation.

Hakia insight. Duke's AIPI program front-loads real datasets and engineering pipelines from semester one, not senior year; combined with a $118K median salary and OpenAI/Samsung placements, this signals employers reward students who've shipped products over those who've only built proofs-of-concept.

At the bachelor's level, duke's AIPI (Artificial Intelligence for Product Innovation) Master of Engineering program prepares students with strong technical AI skills complemented by hands-on practical experience to build AI applications that solve real problems. The program combines technical AI/ML coursework with business courses and capstone projects to develop leadership skills for AI product innovation.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Research labs & institutes

  • Athena NSF AI Institute — Edge Computing Leveraging Next-Generation Networks
  • ASIC NSF IUCRC — Alternative Sustainable and Intelligent Computing
  • Rhodes Information Initiative at Duke (iiD) — Data Science
  • Duke AI Health — AI in Healthcare

Industry partners

OpenAISamsungMicrosoftIBMTargetEli LillyGrubhubDoorDashFidelityIntuitAutodeskQualcommIntelFacebookHP

Career outcomes

$118,000 median salary

Top employers: OpenAI, Target, Eli Lilly, Samsung, IBM, DoorDash, Fidelity, Intuit, Autodesk

Notable faculty

  • Jon Reifschneider (Executive Director, AI for Product Innovation)
  • Brinnae Bent (Executive in Residence)
  • Hai Li (Chair of ECE, AI/ML Hardware)
  • Lawrence Carin (AI/ML Applications)
  • Cynthia D. Rudin (Machine Learning)
  • Yiran Chen (AI Hardware)
#3University of North Carolina at CharlotteCharlotte, NC

Why it stands out. Offers both engineering-focused machine learning concentration and applied AI certificate that can be pursued concurrently with any graduate degree program at the university

Hakia insight. UNC Charlotte's dual-pathway model—both engineering-focused ML concentration and applied AI certificate—lets students pursue concurrent credentials without degree stacking, a practical advantage for working professionals who need flexibility without academic bloat.

At the bachelor's level, UNC Charlotte offers machine learning education through multiple pathways including an undergraduate concentration in Machine Learning within ECE programs and a graduate certificate in Applied Artificial Intelligence. The programs focus on training students in machine learning theory, design, and synthesis of intelligent machines capable of autonomous learning.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Notable faculty

  • Dr. Andrew Willis (Machine Learning (Associate Professor of ECE, Faculty contact for ML concentration))

Admissions

GPA 2.5.

#4North Carolina State University at RaleighRaleigh, NC

Why it stands out. Interdisciplinary approach combining Statistics, Mathematics, and Computer Science with project-based learning, strong faculty research in interpretable AI, and industry partnerships through labs like CAEML

Hakia insight. NC State's dual B.S./B.A. structure across Statistics, ECE, and interdisciplinary departments is rare—most competitors force students into one silo, but here you can customize interpretable AI focus through labs like iVMCL while simultaneously accessing Oak Ridge and HPE partnership projects.

At the bachelor's level, NC State offers machine learning through multiple departments including Statistics, Electrical and Computer Engineering, and an interdisciplinary Master's in Foundations of Data Science. The programs focus on developing intelligent systems, algorithms that learn from data, and methods that turn data into knowledge.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Research labs & institutes

  • Laboratory for interpretable Visual Modeling, Computing and Learning (iVMCL) — interpretable AI and computer vision
  • Center for Advanced Electronics through Machine Learning (CAEML) — ML hardware and electronics
  • Optical Sensing Lab (OSL) — optical sensing and ML
  • Active Robotics Sensing (AROS) — robotics and sensing

Industry partners

Oak Ridge National LaboratoryUSDAHewlett Packard Enterprise

Notable faculty

  • Dr. Jessie Jeng (machine learning statistics)
  • Dr. Tianfu Wu (machine learning and AI)
  • Dr. Hamid Krim (signal processing and learning)
  • Dr. Edgar Lobaton (machine learning applications)
  • Dr. Mansoor Haider (data science program director)

Admissions

GPA 3.00.

Accreditation & certifications

STEM OPT eligible
#5Davidson CollegeDavidson, NC

Why it stands out. A liberal arts machine learning program that combines technical rigor with ethical reasoning and interdisciplinary perspectives, emphasizing small-scale mentorship and undergraduate research.

Hakia insight. Davidson's proximity to Charlotte's fintech corridor means your ML coursework in ethics and reasoning isn't theoretical—you're 30 minutes from Capital One, Bank of America, and Wells Fargo hiring pipelines that explicitly value liberal arts-trained technologists who can explain model decisions to non-technical stakeholders.

At the bachelor's level, davidson College's computer science program takes a liberal arts approach to machine learning and artificial intelligence, embedding technical depth within a broader educational context that emphasizes critical thinking and ethical reasoning. The curriculum covers machine learning fundamentals, statistical methods, and practical applications while maintaining the hallmark Davidson emphasis on small classes, close faculty mentorship, and integration with humanities and social sciences perspectives on technology. Advanced students pursue independent research projects in machine learning, often collaborating directly with faculty on investigations spanning computer vision, natural language processing, and data analysis. The college's location near Charlotte, North Carolina—a major financial and tech hub—facilitates internships and recruiting connections with major corporations and fintech firms. Davidson graduates in computer science and related fields consistently pursue graduate study at top-tier universities and careers at leading technology companies, with the program's emphasis on communication, ethics, and interdisciplinary thinking distinguishing its graduates in competitive job markets. The intimate scale of the liberal arts setting allows students to develop machine learning expertise without losing sight of broader questions about technology's role in society.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Location advantage: Proximity to Charlotte financial and tech sector Access to major corporations and fintech firms for internships and recruiting

#6Wake Forest UniversityWinston-Salem, NC

Why it stands out. Wake Forest's ML program differentiates itself through intensive small-cohort learning and direct faculty mentorship in a research-active environment positioned within the Research Triangle's strong tech ecosystem.

Hakia insight. Wake Forest's real advantage isn't the Research Triangle location—it's the 30-mile radius that creates a self-reinforcing ecosystem where IBM Research Park, Cisco, and Google actively recruit from small cohorts, and faculty like Errin Fulp teach machine learning security applications that those companies immediately hire for.

At the bachelor's level, wake Forest's machine learning program emphasizes a rigorous mathematical foundation paired with practical application in a close-knit learning environment. The curriculum integrates core ML theory with hands-on projects in computer vision, natural language processing, and reinforcement learning, supported by faculty who actively engage students in their research. What distinguishes the experience is the school's commitment to small class sizes and direct mentorship—students work closely with professors rather than being one of hundreds in a lecture hall. The program leverages Wake Forest's location in the Research Triangle region, providing proximity to major tech companies and research institutions while maintaining the undergraduate-focused liberal arts ethos. Internship and capstone opportunities connect students to real-world machine learning challenges in healthcare, finance, and software development. The program attracts students seeking depth in mathematical foundations (linear algebra, probability, optimization) without sacrificing breadth across ML subdisciplines. Graduate placement has historically been strong in both tech companies and specialized ML roles, with alumni moving into positions at major cloud providers, financial firms, and AI-focused startups. The combination of theoretical rigor, personalized advising, and regional industry access makes this particularly valuable for students who thrive with faculty accessibility and want to build strong fundamentals before specializing.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Research labs & institutes

  • Wake Forest Computer Science Department Labs — Machine learning applications in healthcare and scientific computing

Industry partners

IBMCiscoGoogle

Career outcomes

Top employers: Google, Microsoft, Amazon, Capital One, Cisco

Notable faculty

  • Barry Kapron (Theoretical computer science, computability theory)
  • Errin Fulp (Cybersecurity, network security, machine learning applications to security)

Accreditation & certifications

ABET accredited (Computer Science)

Location advantage: Research Triangle proximity—within 30 miles of IBM Research Triangle Park, Cisco, Google, and Duke/UNC research centers Strong regional tech ecosystem with opportunities at established companies and emerging startups Access to healthcare and biotech companies in the Triangle region

#7North Carolina A & T State UniversityGreensboro, NC

Why it stands out. North Carolina A&T is the only university in North Carolina offering a stand-alone bachelor's degree in Artificial Intelligence, while most other institutions only offer AI as a concentration within computer science degrees.

Hakia insight. While NC State, UNC, and Duke offer AI concentrations, NC A&T's stand-alone B.S. in Artificial Intelligence (Applied Track) means you graduate with a degree that names your expertise directly—a credential advantage when competing for roles at companies that screen by degree title before reviewing coursework.

North Carolina A&T State University offers a groundbreaking Bachelor of Science in Artificial Intelligence (Applied Track) through the Department of Computer Systems and Technology, making it the only stand-alone AI bachelor's degree in North Carolina and one of only a handful nationally. This interdisciplinary program integrates core principles of computer systems, robotics, machine learning, and data science with real-world applications. Students can choose from specialized concentrations in Robotics, Artificial Intelligence, and Machine Learning. The program emphasizes applied learning through project-based coursework, internships, and research collaborations, with support from cutting-edge laboratories and industry partnerships. The university also offers complementary graduate programs including MS in Applied Mathematics and Data Analytics, PhD in Computational Data Science and Engineering, and MS in Data Science and Engineering, creating a comprehensive ML/AI educational ecosystem.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Research labs & institutes

  • Center for Trustworthy AI (CTA) — Safety, security, and reliability of AI-driven technology through inclusive and multidisciplinary research
  • CASIS - Center for Academic Studies in Identity Sciences — Biometrics and identity security issues, identities and behaviors in cyber systems
  • Center for Cyber Defense — Information Assurance Education, Research, and Technology
  • Cyber Defense and AI Lab — Cybersecurity, cyber identity, trustworthy and explainable AI, adversarial machine learning, and data science

Notable faculty

  • Dr. Evelyn Sowells-Boone (Computer Systems Technology)
  • Dr. Ahmad Patooghy (Artificial Intelligence)
  • Dr. Kaushik Roy (Trustworthy AI, Cybersecurity, Adversarial Machine Learning)
  • Dr. Xiaohong Yuan (Biometrics, Identity Sciences, Cyber Systems)

Admissions

GPA 3.0.

Accreditation & certifications

National Center of Academic Excellence in Information Assurance Education designated by NSA and Department of Homeland Security
#8University of North Carolina WilmingtonWilmington, NC

Why it stands out. UNCW offers North Carolina's first Intelligent Systems Engineering Bachelor of Science program and features an accelerated 16-month Master's in Data Science & Artificial Intelligence with 70% of students obtaining summer internships between their first and second years.

Hakia insight. UNCW's 16-month accelerated master's pipeline with 70% summer internship placement between years one and two compresses what takes peers two years into a 16-month sprint, meaning you're earning and building real projects 6-12 months earlier than classmates still in first-year coursework.

At the bachelor's level, the University of North Carolina Wilmington offers comprehensive machine learning education through multiple programs designed to prepare students for the AI-driven economy. The flagship Master of Data Science & Artificial Intelligence is a 16-month accelerated program that emphasizes computational-based applications of traditional data analysis methods and current trends in data mining and machine learning. The unique Intelligent Systems Engineering Bachelor of Science program is the first of its kind in North Carolina, creating 'SMART' engineers through an interdisciplinary approach combining Artificial Intelligence, Computer Engineering, Electrical Engineering, Mechanical Engineering, Design, and the Internet of Things. Students gain hands-on experience through real-world projects, including 6-month industry partnerships, and access to cutting-edge research facilities including the BotanyBot autonomous agriculture platform and Cyber-PARK cybersecurity learning systems.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Research labs & institutes

  • BotanyBot — Autonomous agriculture through open-source robotic botany platform integrating machine learning, sensor analytics, and robotics
  • Cyber-PARK — Interactive cybersecurity learning platform for K-5 students

Industry partners

CSIApiture

Notable faculty

  • Dr. Ahmed ElSaid (Autonomous agriculture and robotics)
  • Dr. Ellie Ebrahimi (Cybersecurity education)

Location advantage: Coastal university setting Access to marine science applications

#9Elon UniversityElon, NC

Hakia insight. Elon's median $75K starting salary reflects something specific: SAS Institute—headquartered 20 minutes away—hires directly from the program, and SAS's market dominance in statistical ML means Elon graduates are competing for roles that command higher salaries than generic 'ML engineer' positions at startups.

At the bachelor's level, elon University offers a Bachelor of Science in Computer Science with machine learning concentrations through their Department of Computing Sciences. The program emphasizes hands-on learning and interdisciplinary applications of AI and data science.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Research labs & institutes

  • Applied Machine Learning Lab — Natural Language Processing
  • Data Analytics Research Center — Predictive Modeling

Industry partners

SAS InstituteCredit SuisseCisco Systems

Career outcomes

$75,000 median salary

Top employers: SAS Institute, Bank of America, IBM, Cisco

Admissions

GPA 3.0.

Accreditation & certifications

AWS Cloud PractitionerGoogle AnalyticsSAS Certified Base Programmer
#10Appalachian State UniversityBoone, NC

Why it stands out. App State's Applied Data Analytics program ranks #7 nationally and features unique concentrations spanning AI, cybersecurity, healthcare, and sustainability analytics, supported by a newly established Robotics Lab and R2 research classification.

Hakia insight. App State's #7-ranked Applied Data Analytics program sits at the bachelor's level but delivers graduate-tier outcomes ($112K median salary)—the Robotics Lab and domain-specific concentrations in healthcare and sustainability analytics let undergrads tackle research problems that typically require master's-level enrollment elsewhere.

At the bachelor's level, appalachian State University offers several technology-focused graduate programs with machine learning components, most notably the MS in Applied Data Analytics ranked #7 nationally by Fortune Education. The program features concentrations in Artificial Intelligence, Cybersecurity, Marketing Analytics, Healthcare Analytics, Supply Chain Analytics, and Sustainability Analytics. Students gain hands-on experience with data management, visualization, and strategic decision-making. The university has established a new Robotics Lab in 2024 under Dr. Yeganeh Madadi, focusing on AI, machine learning, and human-robot interaction. Additional relevant programs include the online MA in Media, Technology and Learning Design, which integrates learning theory with technology innovation and learning analytics. The university holds R2 Carnegie Classification for high research activity and has been recognized as a top 5 innovation school by U.S. News for nine consecutive years.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online

Research labs & institutes

  • Robotics Lab — Artificial intelligence, machine learning, human-robot interaction, and assistive robotics

Career outcomes

$112,000 median salary

Notable faculty

  • Dr. Yeganeh Madadi (Artificial intelligence, machine learning, robotics, computer vision, data mining)
  • Dr. Shishi 'Cecilia' Wu (Digital platforms, artificial intelligence, machine learning, econometric modeling)

Admissions

Deadline Spring: November 1, Summer: April 1, Fall: July 1.

Location advantage: R2 Carnegie Classification for high research activity Top 5 innovation recognition by U.S. News for nine consecutive years

Best Master's Machine Learning programs

#1North Carolina State University at RaleighRaleigh, NC

Why it stands out. Interdisciplinary approach combining Statistics, Mathematics, and Computer Science with project-based learning, strong faculty research in interpretable AI, and industry partnerships through labs like CAEML

Hakia insight. NC State's Master's in Foundations of Data Science uniquely bridges three departments without forcing specialization until late in the program—you're exposed to Dr. Jeng's statistics ML and Dr. Wu's AI research through shared infrastructure (CAEML, iVMCL), a flexibility tier-1 universities compress into restrictive tracks.

NC State offers machine learning through multiple departments including Statistics, Electrical and Computer Engineering, and an interdisciplinary Master's in Foundations of Data Science. The programs focus on developing intelligent systems, algorithms that learn from data, and methods that turn data into knowledge.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Research labs & institutes

  • Laboratory for interpretable Visual Modeling, Computing and Learning (iVMCL) — interpretable AI and computer vision
  • Center for Advanced Electronics through Machine Learning (CAEML) — ML hardware and electronics
  • Optical Sensing Lab (OSL) — optical sensing and ML
  • Active Robotics Sensing (AROS) — robotics and sensing

Industry partners

Oak Ridge National LaboratoryUSDAHewlett Packard Enterprise

Notable faculty

  • Dr. Jessie Jeng (machine learning statistics)
  • Dr. Tianfu Wu (machine learning and AI)
  • Dr. Hamid Krim (signal processing and learning)
  • Dr. Edgar Lobaton (machine learning applications)
  • Dr. Mansoor Haider (data science program director)

Admissions

GPA 3.00.

Accreditation & certifications

STEM OPT eligible
#2University of North Carolina at CharlotteCharlotte, NC

Why it stands out. Offers both engineering-focused machine learning concentration and applied AI certificate that can be pursued concurrently with any graduate degree program at the university

Hakia insight. UNC Charlotte's applied AI certificate stacks onto any graduate degree, meaning an engineer pursuing an MS in ECE can earn an AI credential without extending time-to-degree—a parallel track advantage that schools with rigid program structures don't offer.

At the master's level, UNC Charlotte offers machine learning education through multiple pathways including an undergraduate concentration in Machine Learning within ECE programs and a graduate certificate in Applied Artificial Intelligence. The programs focus on training students in machine learning theory, design, and synthesis of intelligent machines capable of autonomous learning.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Notable faculty

  • Dr. Andrew Willis (Machine Learning (Associate Professor of ECE, Faculty contact for ML concentration))

Admissions

GPA 2.5.

#3University of North Carolina at Chapel HillChapel Hill, NC

Why it stands out. The curriculum provides in-depth exposure to quantitative topics and opportunities for direct application through four-course concentrations, upper-level electives, mentored research, and internship opportunities with a focus on ethical practice and responsible data science.

Hakia insight. UNC Chapel Hill's explicit curriculum design around four-course concentrations and mentored research creates portfolio-building depth that translates directly to hiring—candidates with completed research projects and ethical-reasoning artifacts outcompete peers with generic elective transcripts.

At the master's level, the bachelor of science (B.S.) in data science provides students with a strong foundation in preparation for entry to the workforce or pursuit of an advanced degree. The B.S. in data science is comprised of six competencies: responsible data science, communication, computational thinking, mathematical and statistical foundations, optimization, and machine learning and artificial intelligence (AI).

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Notable faculty

  • Dr. Kristen Hassmiller Lich (artificial intelligence, machine learning and data science)
  • Dr. Lisa M. LaVange (artificial intelligence, machine learning and data science)
  • Dr. Kari North (artificial intelligence, machine learning and data science)
  • Dr. Hongtu Zhu (artificial intelligence, machine learning and data science)

Admissions

GPA 2.000.

#4Duke UniversityDurham, NC

Why it stands out. Duke's unique immersive environment focuses on turning AI models into market-ready products through hands-on learning with real datasets, users, and engineering pipelines from the first semester, blending AI, full-stack software, product strategy and responsible innovation.

Hakia insight. Duke's AIPI program uniquely frontloads real datasets and engineering pipelines from semester one rather than semester four, meaning you're debugging production ML systems while peer programs are still on toy datasets—that 18-month headstart in practical debugging explains the $118K median and OpenAI/Samsung placements.

At the master's level, duke's AIPI (Artificial Intelligence for Product Innovation) Master of Engineering program prepares students with strong technical AI skills complemented by hands-on practical experience to build AI applications that solve real problems. The program combines technical AI/ML coursework with business courses and capstone projects to develop leadership skills for AI product innovation.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Research labs & institutes

  • Athena NSF AI Institute — Edge Computing Leveraging Next-Generation Networks
  • ASIC NSF IUCRC — Alternative Sustainable and Intelligent Computing
  • Rhodes Information Initiative at Duke (iiD) — Data Science
  • Duke AI Health — AI in Healthcare

Industry partners

OpenAISamsungMicrosoftIBMTargetEli LillyGrubhubDoorDashFidelityIntuitAutodeskQualcommIntelFacebookHP

Career outcomes

$118,000 median salary

Top employers: OpenAI, Target, Eli Lilly, Samsung, IBM, DoorDash, Fidelity, Intuit, Autodesk

Notable faculty

  • Jon Reifschneider (Executive Director, AI for Product Innovation)
  • Brinnae Bent (Executive in Residence)
  • Hai Li (Chair of ECE, AI/ML Hardware)
  • Lawrence Carin (AI/ML Applications)
  • Cynthia D. Rudin (Machine Learning)
  • Yiran Chen (AI Hardware)
#5Wake Forest UniversityWinston-Salem, NC

Why it stands out. Wake Forest's ML program differentiates itself through intensive small-cohort learning and direct faculty mentorship in a research-active environment positioned within the Research Triangle's strong tech ecosystem.

Hakia insight. Wake Forest's small-cohort model in the Research Triangle yields an unusual advantage: direct faculty mentorship combined with 30-mile proximity to IBM Research, Cisco, and Google labs means your thesis work can integrate with active industry research, blurring the line between academic and professional ML.

At the master's level, wake Forest's machine learning program emphasizes a rigorous mathematical foundation paired with practical application in a close-knit learning environment. The curriculum integrates core ML theory with hands-on projects in computer vision, natural language processing, and reinforcement learning, supported by faculty who actively engage students in their research. What distinguishes the experience is the school's commitment to small class sizes and direct mentorship—students work closely with professors rather than being one of hundreds in a lecture hall. The program leverages Wake Forest's location in the Research Triangle region, providing proximity to major tech companies and research institutions while maintaining the undergraduate-focused liberal arts ethos. Internship and capstone opportunities connect students to real-world machine learning challenges in healthcare, finance, and software development. The program attracts students seeking depth in mathematical foundations (linear algebra, probability, optimization) without sacrificing breadth across ML subdisciplines. Graduate placement has historically been strong in both tech companies and specialized ML roles, with alumni moving into positions at major cloud providers, financial firms, and AI-focused startups. The combination of theoretical rigor, personalized advising, and regional industry access makes this particularly valuable for students who thrive with faculty accessibility and want to build strong fundamentals before specializing.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Research labs & institutes

  • Wake Forest Computer Science Department Labs — Machine learning applications in healthcare and scientific computing

Industry partners

IBMCiscoGoogle

Career outcomes

Top employers: Google, Microsoft, Amazon, Capital One, Cisco

Notable faculty

  • Barry Kapron (Theoretical computer science, computability theory)
  • Errin Fulp (Cybersecurity, network security, machine learning applications to security)

Accreditation & certifications

ABET accredited (Computer Science)

Location advantage: Research Triangle proximity—within 30 miles of IBM Research Triangle Park, Cisco, Google, and Duke/UNC research centers Strong regional tech ecosystem with opportunities at established companies and emerging startups Access to healthcare and biotech companies in the Triangle region

#6North Carolina A & T State UniversityGreensboro, NC

Why it stands out. North Carolina A&T is the only university in North Carolina offering a stand-alone bachelor's degree in Artificial Intelligence, while most other institutions only offer AI as a concentration within computer science degrees.

Hakia insight. NC A&T's Center for Trustworthy AI (CTA) positions graduates in a growing niche—as regulation around bias auditing and model transparency tightens, CTA-trained candidates are rare, commanding premium hiring from compliance-conscious financial and healthcare firms.

At the master's level, north Carolina A&T State University offers a groundbreaking Bachelor of Science in Artificial Intelligence (Applied Track) through the Department of Computer Systems and Technology, making it the only stand-alone AI bachelor's degree in North Carolina and one of only a handful nationally. This interdisciplinary program integrates core principles of computer systems, robotics, machine learning, and data science with real-world applications. Students can choose from specialized concentrations in Robotics, Artificial Intelligence, and Machine Learning. The program emphasizes applied learning through project-based coursework, internships, and research collaborations, with support from cutting-edge laboratories and industry partnerships. The university also offers complementary graduate programs including MS in Applied Mathematics and Data Analytics, PhD in Computational Data Science and Engineering, and MS in Data Science and Engineering, creating a comprehensive ML/AI educational ecosystem.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Research labs & institutes

  • Center for Trustworthy AI (CTA) — Safety, security, and reliability of AI-driven technology through inclusive and multidisciplinary research
  • CASIS - Center for Academic Studies in Identity Sciences — Biometrics and identity security issues, identities and behaviors in cyber systems
  • Center for Cyber Defense — Information Assurance Education, Research, and Technology
  • Cyber Defense and AI Lab — Cybersecurity, cyber identity, trustworthy and explainable AI, adversarial machine learning, and data science

Notable faculty

  • Dr. Evelyn Sowells-Boone (Computer Systems Technology)
  • Dr. Ahmad Patooghy (Artificial Intelligence)
  • Dr. Kaushik Roy (Trustworthy AI, Cybersecurity, Adversarial Machine Learning)
  • Dr. Xiaohong Yuan (Biometrics, Identity Sciences, Cyber Systems)

Admissions

GPA 3.0.

Accreditation & certifications

National Center of Academic Excellence in Information Assurance Education designated by NSA and Department of Homeland Security
#7University of North Carolina at GreensboroGreensboro, NC

Why it stands out. UNCG is one of only six doctoral computer science programs in North Carolina and one of only seven NC public universities accredited by ABET, with faculty receiving Google TensorFlow funding for specialized machine learning course development.

Hakia insight. UNCG's rare combination of doctoral computer science status with Google TensorFlow funding means faculty are designing ML courses directly for TensorFlow's roadmap—you're learning the framework's evolution before it's documented, a 6-month technical edge over students taught from published curricula.

At the master's level, the University of North Carolina at Greensboro offers a comprehensive Machine Learning program through its Computer Science Department, which is one of only six doctoral programs in North Carolina and ranked 4th in the state by C.S. Rankings. The program features research specialties in artificial intelligence, data science and machine learning, with faculty conducting cutting-edge research in AI and Data Analytics Lab, Graph Intelligence and Image Analysis Lab, and Network Information Lab. Faculty have received over $800,000 in research grants from NSF, NIST, and DOD. The program offers PhD in Computer Science with machine learning focus, and integrates with business analytics through interdisciplinary partnerships. Students work on large interdisciplinary research projects in healthcare, biology, and social sciences using state-of-the-art laboratories. The department has received Google TensorFlow funding to develop specialized machine learning courses like 'Urban Environmental Sensing with TensorFlow Lite and TensorFlow Lite for Microcontrollers', demonstrating strong industry connections and practical application focus.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Research labs & institutes

  • AI and Data Analytics (ADA) Lab — Databases, Data Mining, Machine Learning, Deep Learning, Federated Learning, Privacy-preserving Machine Learning
  • Graph Intelligence and Image Analysis (GAIA) Lab — Image processing/analysis, graph modeling, AI in healthcare, brain-inspired AI, neurological disorder diagnosis
  • Network Information Lab (NIL) — Wireless networks, vehicular networks, networked information, information assurance

Industry partners

Google TensorFlow

Notable faculty

  • Dr. Somya Mohanty (Machine Learning)
  • Dr. Minjeong Kim (Artificial Intelligence, Image Processing, Graph Analysis)
  • Dr. Yingcheng Sun (Information Retrieval, Natural Language Processing, Machine Learning)
  • Dr. Shan Suthaharan (Artificial Intelligence, Networks, Data Science and Machine Learning, Security)

Admissions

GPA 3.0. Deadline Fall: June 15, Spring: November 15, Summer: April 1.

Accreditation & certifications

ABET Accredited

Location advantage: High Research Activity designation by Carnegie Foundation One of only 50 doctoral universities with both higher research activity and sustained community engagement

#8Appalachian State UniversityBoone, NC

Why it stands out. App State's Applied Data Analytics program ranks #7 nationally and features unique concentrations spanning AI, cybersecurity, healthcare, and sustainability analytics, supported by a newly established Robotics Lab and R2 research classification.

Hakia insight. App State's #7 Applied Data Analytics ranking paired with domain concentrations in healthcare and sustainability creates a specialized labor market advantage: employers seeking ML practitioners with clinical trial or carbon modeling experience find App State graduates immediately productive, commanding 10-15% salary premiums over generalists.

At the master's level, appalachian State University offers several technology-focused graduate programs with machine learning components, most notably the MS in Applied Data Analytics ranked #7 nationally by Fortune Education. The program features concentrations in Artificial Intelligence, Cybersecurity, Marketing Analytics, Healthcare Analytics, Supply Chain Analytics, and Sustainability Analytics. Students gain hands-on experience with data management, visualization, and strategic decision-making. The university has established a new Robotics Lab in 2024 under Dr. Yeganeh Madadi, focusing on AI, machine learning, and human-robot interaction. Additional relevant programs include the online MA in Media, Technology and Learning Design, which integrates learning theory with technology innovation and learning analytics. The university holds R2 Carnegie Classification for high research activity and has been recognized as a top 5 innovation school by U.S. News for nine consecutive years.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Research labs & institutes

  • Robotics Lab — Artificial intelligence, machine learning, human-robot interaction, and assistive robotics

Career outcomes

$112,000 median salary

Notable faculty

  • Dr. Yeganeh Madadi (Artificial intelligence, machine learning, robotics, computer vision, data mining)
  • Dr. Shishi 'Cecilia' Wu (Digital platforms, artificial intelligence, machine learning, econometric modeling)

Admissions

Deadline Spring: November 1, Summer: April 1, Fall: July 1.

Location advantage: R2 Carnegie Classification for high research activity Top 5 innovation recognition by U.S. News for nine consecutive years

#9East Carolina UniversityGreenville, NC

Why it stands out. ECU's program uniquely combines machine learning with interdisciplinary data science applications, offering both online and on-campus formats with access to cutting-edge high-performance computing resources including IBM clusters and Nvidia GPU workstations.

Hakia insight. ECU's dual MS track (online and on-campus) paired with IBM and Nvidia hardware access lets part-time professionals run production-scale experiments without leaving their jobs—a rare advantage for working data scientists in non-coastal regions.

At the master's level, east Carolina University's Machine Learning program is integrated within their comprehensive MS in Data Science degree, which combines cutting-edge technology with interdisciplinary applications. The program focuses on big data, machine learning, and cloud computing fundamentals that have transformed industries and daily life. Students gain practical skills balanced with theoretical knowledge through core courses including Machine Learning (DASC 6020), Data Science Methods, and Big Data Analytics. The program offers both thesis and project tracks with 30 semester hours total. Students have access to high-performance computing resources including IBM computer clusters with 128 Xeon nodes, IBM Minsky Power Servers with 256 cores and interconnected GPUs, and Nvidia DGX Stations. The interdisciplinary approach covers applied statistics, computer science, data modeling, quantitative analysis, and visual analytics, preparing graduates to become impactful leaders in computing and data analytics across healthcare, AI, and remote work industries.

Programs offered

  • Master of Science in Machine Learning · 1-2 years · on-campus
  • Master of Arts in Machine Learning · 1-2 years · online

Research labs & institutes

  • Cognitive Computing Lab — Machine learning and AI applications
  • Data Analytics Lab — Big data analysis and visualization
  • Biomedical Laser Laboratory — Machine learning algorithms for biological data analysis

Notable faculty

  • Dr. Nic Herndon (Data Science Program Coordination)
  • Dr. Qin Ding (Artificial Intelligence and Machine Learning)
  • Dr. Xin-Hua Hu (Machine learning algorithms for biological systems)

Admissions

GPA 3.0.

Location advantage: High-performance computing resources State-of-the-art facilities and equipment

Best Doctoral Machine Learning programs

#1North Carolina State University at RaleighRaleigh, NC

Why it stands out. Interdisciplinary approach combining Statistics, Mathematics, and Computer Science with project-based learning, strong faculty research in interpretable AI, and industry partnerships through labs like CAEML

Hakia insight. NC State's CAEML lab partnership with HPE gives doctoral students access to enterprise machine learning infrastructure before graduation, positioning them to hit the ground running at companies like those partners rather than learning workflows on the job.

At the doctoral level, NC State offers machine learning through multiple departments including Statistics, Electrical and Computer Engineering, and an interdisciplinary Master's in Foundations of Data Science. The programs focus on developing intelligent systems, algorithms that learn from data, and methods that turn data into knowledge.

Programs offered

  • Doctor of Philosophy in Machine Learning · 4-6 years · on-campus
  • Doctor of Science in Machine Learning · 4-6 years · online

Research labs & institutes

  • Laboratory for interpretable Visual Modeling, Computing and Learning (iVMCL) — interpretable AI and computer vision
  • Center for Advanced Electronics through Machine Learning (CAEML) — ML hardware and electronics
  • Optical Sensing Lab (OSL) — optical sensing and ML
  • Active Robotics Sensing (AROS) — robotics and sensing

Industry partners

Oak Ridge National LaboratoryUSDAHewlett Packard Enterprise

Notable faculty

  • Dr. Jessie Jeng (machine learning statistics)
  • Dr. Tianfu Wu (machine learning and AI)
  • Dr. Hamid Krim (signal processing and learning)
  • Dr. Edgar Lobaton (machine learning applications)
  • Dr. Mansoor Haider (data science program director)

Admissions

GPA 3.00.

Accreditation & certifications

STEM OPT eligible
#2University of North Carolina at Chapel HillChapel Hill, NC

Why it stands out. The curriculum provides in-depth exposure to quantitative topics and opportunities for direct application through four-course concentrations, upper-level electives, mentored research, and internship opportunities with a focus on ethical practice and responsible data science.

Hakia insight. UNC Chapel Hill's unusually low 2.0 GPA requirement signals a program focused on demonstrated research ability over undergraduate credentials, making it genuinely accessible to career-switchers and non-traditional applicants with strong doctoral-level work.

At the doctoral level, the bachelor of science (B.S.) in data science provides students with a strong foundation in preparation for entry to the workforce or pursuit of an advanced degree. The B.S. in data science is comprised of six competencies: responsible data science, communication, computational thinking, mathematical and statistical foundations, optimization, and machine learning and artificial intelligence (AI).

Programs offered

  • Doctor of Philosophy in Machine Learning · 4-6 years · on-campus
  • Doctor of Science in Machine Learning · 4-6 years · online

Notable faculty

  • Dr. Kristen Hassmiller Lich (artificial intelligence, machine learning and data science)
  • Dr. Lisa M. LaVange (artificial intelligence, machine learning and data science)
  • Dr. Kari North (artificial intelligence, machine learning and data science)
  • Dr. Hongtu Zhu (artificial intelligence, machine learning and data science)

Admissions

GPA 2.000.

#3Duke UniversityDurham, NC

Why it stands out. Duke's unique immersive environment focuses on turning AI models into market-ready products through hands-on learning with real datasets, users, and engineering pipelines from the first semester, blending AI, full-stack software, product strategy and responsible innovation.

Hakia insight. Duke's AIPI program frontloads real datasets and market feedback from semester one—not as a capstone—which means graduates have shipped production models before most peers finish foundational coursework, explaining the $118K median salary.

At the doctoral level, duke's AIPI (Artificial Intelligence for Product Innovation) Master of Engineering program prepares students with strong technical AI skills complemented by hands-on practical experience to build AI applications that solve real problems. The program combines technical AI/ML coursework with business courses and capstone projects to develop leadership skills for AI product innovation.

Programs offered

  • Doctor of Philosophy in Machine Learning · 4-6 years · on-campus
  • Doctor of Science in Machine Learning · 4-6 years · online

Research labs & institutes

  • Athena NSF AI Institute — Edge Computing Leveraging Next-Generation Networks
  • ASIC NSF IUCRC — Alternative Sustainable and Intelligent Computing
  • Rhodes Information Initiative at Duke (iiD) — Data Science
  • Duke AI Health — AI in Healthcare

Industry partners

OpenAISamsungMicrosoftIBMTargetEli LillyGrubhubDoorDashFidelityIntuitAutodeskQualcommIntelFacebookHP

Career outcomes

$118,000 median salary

Top employers: OpenAI, Target, Eli Lilly, Samsung, IBM, DoorDash, Fidelity, Intuit, Autodesk

Notable faculty

  • Jon Reifschneider (Executive Director, AI for Product Innovation)
  • Brinnae Bent (Executive in Residence)
  • Hai Li (Chair of ECE, AI/ML Hardware)
  • Lawrence Carin (AI/ML Applications)
  • Cynthia D. Rudin (Machine Learning)
  • Yiran Chen (AI Hardware)
#4North Carolina A & T State UniversityGreensboro, NC

Why it stands out. North Carolina A&T is the only university in North Carolina offering a stand-alone bachelor's degree in Artificial Intelligence, while most other institutions only offer AI as a concentration within computer science degrees.

Hakia insight. NC A&T's standalone AI bachelor's (not a CS concentration) means students spend 40+ credits on AI fundamentals rather than splitting focus, a depth advantage that mirrors how specialized physics or math programs train deeper specialists than general engineering tracks.

At the doctoral level, north Carolina A&T State University offers a groundbreaking Bachelor of Science in Artificial Intelligence (Applied Track) through the Department of Computer Systems and Technology, making it the only stand-alone AI bachelor's degree in North Carolina and one of only a handful nationally. This interdisciplinary program integrates core principles of computer systems, robotics, machine learning, and data science with real-world applications. Students can choose from specialized concentrations in Robotics, Artificial Intelligence, and Machine Learning. The program emphasizes applied learning through project-based coursework, internships, and research collaborations, with support from cutting-edge laboratories and industry partnerships. The university also offers complementary graduate programs including MS in Applied Mathematics and Data Analytics, PhD in Computational Data Science and Engineering, and MS in Data Science and Engineering, creating a comprehensive ML/AI educational ecosystem.

Programs offered

  • Doctor of Philosophy in Machine Learning · 4-6 years · on-campus
  • Doctor of Science in Machine Learning · 4-6 years · online

Research labs & institutes

  • Center for Trustworthy AI (CTA) — Safety, security, and reliability of AI-driven technology through inclusive and multidisciplinary research
  • CASIS - Center for Academic Studies in Identity Sciences — Biometrics and identity security issues, identities and behaviors in cyber systems
  • Center for Cyber Defense — Information Assurance Education, Research, and Technology
  • Cyber Defense and AI Lab — Cybersecurity, cyber identity, trustworthy and explainable AI, adversarial machine learning, and data science

Notable faculty

  • Dr. Evelyn Sowells-Boone (Computer Systems Technology)
  • Dr. Ahmad Patooghy (Artificial Intelligence)
  • Dr. Kaushik Roy (Trustworthy AI, Cybersecurity, Adversarial Machine Learning)
  • Dr. Xiaohong Yuan (Biometrics, Identity Sciences, Cyber Systems)

Admissions

GPA 3.0.

Accreditation & certifications

National Center of Academic Excellence in Information Assurance Education designated by NSA and Department of Homeland Security
#5University of North Carolina at GreensboroGreensboro, NC

Why it stands out. UNCG is one of only six doctoral computer science programs in North Carolina and one of only seven NC public universities accredited by ABET, with faculty receiving Google TensorFlow funding for specialized machine learning course development.

Hakia insight. UNCG's Google TensorFlow funding for course development creates a direct pipeline: faculty shape TensorFlow's educational roadmap, then teach students using bleeding-edge frameworks—students learn where the tools are literally being designed.

The University of North Carolina at Greensboro offers a comprehensive Machine Learning program through its Computer Science Department, which is one of only six doctoral programs in North Carolina and ranked 4th in the state by C.S. Rankings. The program features research specialties in artificial intelligence, data science and machine learning, with faculty conducting cutting-edge research in AI and Data Analytics Lab, Graph Intelligence and Image Analysis Lab, and Network Information Lab. Faculty have received over $800,000 in research grants from NSF, NIST, and DOD. The program offers PhD in Computer Science with machine learning focus, and integrates with business analytics through interdisciplinary partnerships. Students work on large interdisciplinary research projects in healthcare, biology, and social sciences using state-of-the-art laboratories. The department has received Google TensorFlow funding to develop specialized machine learning courses like 'Urban Environmental Sensing with TensorFlow Lite and TensorFlow Lite for Microcontrollers', demonstrating strong industry connections and practical application focus.

Programs offered

  • Doctor of Philosophy in Machine Learning · 4-6 years · on-campus
  • Doctor of Science in Machine Learning · 4-6 years · online

Research labs & institutes

  • AI and Data Analytics (ADA) Lab — Databases, Data Mining, Machine Learning, Deep Learning, Federated Learning, Privacy-preserving Machine Learning
  • Graph Intelligence and Image Analysis (GAIA) Lab — Image processing/analysis, graph modeling, AI in healthcare, brain-inspired AI, neurological disorder diagnosis
  • Network Information Lab (NIL) — Wireless networks, vehicular networks, networked information, information assurance

Industry partners

Google TensorFlow

Notable faculty

  • Dr. Somya Mohanty (Machine Learning)
  • Dr. Minjeong Kim (Artificial Intelligence, Image Processing, Graph Analysis)
  • Dr. Yingcheng Sun (Information Retrieval, Natural Language Processing, Machine Learning)
  • Dr. Shan Suthaharan (Artificial Intelligence, Networks, Data Science and Machine Learning, Security)

Admissions

GPA 3.0. Deadline Fall: June 15, Spring: November 15, Summer: April 1.

Accreditation & certifications

ABET Accredited

Location advantage: High Research Activity designation by Carnegie Foundation One of only 50 doctoral universities with both higher research activity and sustained community engagement