University campus in Georgia
Updated July 13, 2026

Best Machine Learning Degree Programs in Georgia, 2026 Rankings

Compare the top machine learning colleges in Georgia. 15 accredited machine learning schools ranked by graduation rate, career outcomes, and value, from Georgia State University to Georgia State University.

#1 ProgramGeorgia State
Avg Salary$107,450
Tuition From$7,158/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

25

Programs ranked

IPEDS 2024

$107,450

Georgia median machine learning salary

BLS OEWS 2024

90/100

Top program score

Hakia methodology

23%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best machine learning degree programs: Georgia State, U of Georgia, Emory

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $4,064 to $59,920/year

Georgia State offers the most affordable option at $7,158/yr

IPEDS 2024

Machine Learning degree programs available: 9 master's, 4 doctoral in Georgia

From community college pathways to advanced research degrees

IPEDS 2024

8 online machine learning degree programs in Georgia

Flexible scheduling for working professionals

IPEDS 2024

Major employers: NCR, Mailchimp, SalesLoft, Calendly

Tech hubs in Atlanta and Savannah

Hakia Research 2026

Machine Learning degree programs near 64+ cities across Georgia

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

IPEDS 2024

Updated July 13, 2026

How we ranked Georgia Machine Learning programs

We rank 25 accredited machine learning programs in Georgia 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 Georgia Worth It?

Answer
$107,450
Yes. The best machine learning degree programs in Georgia deliver strong ROI, graduates earn $107,450 median salary with +22% job growth through 2032. In-state tuition averages $16,502/year.

Source: BLS OEWS May 2024

Machine Learning Degree Rankings in Georgia

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

Best Bachelor's Machine Learning Programs in Georgia

12
Programs ranked
$19,045
Avg tuition/yr
86%
Avg grad rate

Program Landscape

Georgia ranks among the nation's top destinations for machine learning education, with 12 accredited bachelor's degree programs across 7 public and 5 private institutions. The highest-ranked programs are Georgia State, U of Georgia, Emory, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Georgia machine learning programs earn a median salary of $91,333, 7% below the national average. The state's robust technology sector, anchored by the Atlanta, Savannah, Augusta metropolitan areas, provides abundant internship and employment opportunities with companies including NCR, Mailchimp, SalesLoft.

Costs & Value

Tuition ranges from $4,064 to $59,920 annually, with an average of $19,045/yr. Top programs maintain graduation rates above 86%, with the highest reaching 97%. 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 Georgia's leading technology employers. For students seeking machine learning degrees in Georgia, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

Show all 12 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Mercer UniversityMacon, GAPrivate$33,08088%51.5
#7Clark Atlanta UniversityAtlanta, GAPrivate$23,48485%48.7
#8Berry CollegeMount Berry, GAPrivate$40,14096%48.4
#9Georgia College & State UniversityMilledgeville, GAPublic$7,50879%46.7
#10Georgia Southwestern State UniversityAmericus, GAPublic$4,06486%44.6
#11Clayton State UniversityMorrow, GAPublic$4,06442.8
#12Augusta UniversityAugusta, GAPublic$6,89273%39.3

Best Master's Machine Learning Programs in Georgia

9
Programs ranked
$14,207
Avg tuition/yr
87%
Avg grad rate

Program Landscape

Georgia 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, Georgia Institute of Tech..., Georgia State, Emory, combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in Georgia earn a median salary of $107,450, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Atlanta, Savannah, Augusta creates strong demand for graduate-level talent, with NCR, Mailchimp, SalesLoft 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 $14,207/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 Georgia'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
#6Georgia Southwestern State UniversityAmericus, GAPublic$4,06486%49.7
#7Georgia Southern UniversityStatesboro, GAPublic$4,37194%49.1
#8Clark Atlanta UniversityAtlanta, GAPrivate$23,48485%48.1
#9University of West GeorgiaCarrollton, GAPublic$4,37145.3

Best Doctoral Machine Learning Programs in Georgia

4
Programs ranked
$21,782
Avg tuition/yr
91%
Avg grad rate

Program Landscape

Georgia is home to 4 doctoral programs in machine learning, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at Emory, U of Georgia, Georgia State are recognized for cutting-edge research, strong faculty publications, and competitive funding packages.

Career Outcomes

Doctoral graduates command premium salaries, with Georgia PhD holders earning a median of $134,313, reflecting the advanced expertise required for research and executive positions. The Atlanta, Savannah, Augusta region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like NCR, Mailchimp, SalesLoft.

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 Georgia programs include artificial intelligence, cybersecurity, human-computer interaction, systems, and theoretical computer science. For aspiring researchers pursuing machine learning degrees in Georgia, 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.

🥇
Emory University
Atlanta, GAPrivate
$59,920
Tuition/yr
97%
Grad rate
64.5
Hakia Score

Machine Learning Degree Costs & Tuition in Georgia

MetricValue
Average in-state tuition$16,502/year
Average out-of-state tuition$41,255/year
Community college tuition$4,126/year
4-year savings for residents$99,012
2+2 transfer pathway savings$24,752

Source: IPEDS 2024

Financial Aid for Georgia Machine Learning Students

Verdict: Georgia ML students benefit from one of the strongest US merit-aid programs combined with substantial ML research depth: Georgia Tech's College of Computing ML research cluster, including the Machine Learning Center (ML@GT), the Institute for Robotics and Intelligent Machines (IRIM), and the Center for Machine Learning, is one of the deepest US ML research operations outside Bay Area / NYC / Pittsburgh. Plus Georgia Tech Research Institute (GTRI) defense-ML research. Combined with the HOPE Scholarship and Zell Miller Scholarship providing full or substantial Georgia public university tuition for qualifying Georgia residents, Georgia ML education delivers exceptional outcomes-to-cost economics.

Georgia HOPE Scholarship provides 100% of tuition at Georgia public colleges (and substantial private tuition assistance) for Georgia HS graduates with 3.0 cumulative GPA. Zell Miller Scholarship (3.7 GPA + 1200 SAT or 26 ACT) covers 100% of mandatory tuition + fees at Georgia publics. Georgia Tech and University of Georgia both have substantial institutional aid layered with HOPE/Zell Miller for in-state students, making Georgia Tech CS-with-ML one of the strongest financial value propositions in US ML education for qualifying Georgia residents.

Georgia's ML-specific institutional aid and research depth is concentrated at: Georgia Tech School of Computer Science + College of Computing, one of the deepest US ML research operations outside Bay Area / NYC / Pittsburgh, with the Machine Learning Center (ML@GT) providing one of the most-substantial single-institution ML research and engineering training pipelines anywhere. Georgia Tech Research Institute (GTRI) is the substantial defense-ML applied research operation, substantial ML work for defense and intelligence applications. University of Georgia ML Institute. Emory University ML research with growing healthcare-ML emphasis. Georgia State University has growing CS-ML programs.

The Georgia Tech + HOPE/Zell Miller combination is the distinctive Georgia ML funding dynamic, Georgia Tech's College of Computing ML research depth combined with HOPE/Zell Miller tuition coverage produces one of the strongest cost-to-research-depth equations in US ML education. Industry-track scholarships from Georgia-based ML employers, Home Depot ML (one of the largest US retail-ML organizations), UPS ML (one of the largest US logistics-ML organizations), Delta Air Lines ML (Atlanta operations), Coca-Cola ML for consumer products, NCR Corporation ML for retail technology, CDC public-health ML applications (Atlanta), GTRI defense-ML, Mercedes-Benz USA ML (Atlanta HQ), plus growing Atlanta fintech ML, provide additional funding most students don't pursue.

Machine Learning Degree ROI Calculator, Georgia

Use our interactive ROI calculator to estimate your return on investment for a machine learning degree in Georgia. 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

$135,000

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 (Atlanta, GA)$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 Georgia metro areas

Atlanta$118K
Savannah$113K
Augusta$107K
View data table
CategoryValue
Atlanta$118K
Savannah$113K
Augusta$107K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Machine Learning Graduates in Georgia

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

Machine Learning Jobs in Atlanta

GA

Atlanta is a major tech hub anchored by Georgia Tech, with strong fintech, retail tech, and enterprise software sectors.

Nearby cities: Alpharetta, Sandy Springs, Marietta, Buckhead, Midtown

Microsoft
Enterprise Software/Cloud
Google
Search/Cloud/AI
Salesforce
Enterprise CRM
NCR Corporation
Financial Tech/POS
The Home Depot
Retail Tech
Delta Air Lines
Aviation Tech
Mailchimp (Intuit)
Marketing Tech
Cox Enterprises
Media/Telecom
Equifax
Data/Financial Services
Cardlytics
Fintech

Georgia Tech Industry & Infrastructure

Georgia's tech market is anchored by Atlanta — one of the strongest US tech metros outside Silicon Valley and the East Coast core. Augusta hosts a globally significant cybersecurity cluster around Fort Eisenhower (formerly Fort Gordon) and the Army Cyber Center of Excellence. The state combines no-state-income-tax for tech expansion, the HOPE Scholarship pipeline filling Georgia Tech, and a deep enterprise-IT employer base.

Atlanta

Atlanta metro

Headquarters for Coca-Cola, Home Depot, UPS, Delta, NCR Voyix, Mailchimp (Intuit), Square/Block, and dozens of Fortune 500 IT operations. Strong fintech (Atlanta has been called 'Transaction Alley' for payments), e-commerce, and enterprise-software markets. Georgia Tech is the principal feeder for senior tech roles.

Augusta / Fort Eisenhower

Augusta metro

Home to the Army Cyber Center of Excellence and U.S. Cyber Command operations. Largest US concentration of military cybersecurity professionals outside DC. Cyber-cleared engineering roles dominate the local market, with substantial private-sector cybersecurity employment around the base.

Savannah

Savannah metro

Logistics-tech (Port of Savannah is the 3rd-largest US container port), defense (Gulfstream Aerospace), and an emerging consumer/startup tech scene. Smaller market but growing.

Georgia has a flat state income tax (5.39% in 2026, declining). The Georgia Investment Tax Credit and Quality Jobs Tax Credit are the principal state-level tech-employer incentives.

Georgia Regulation Affecting Machine Learning Graduates

Georgia has not enacted a comprehensive consumer privacy law in the CCPA/VCDPA mold, but the state's cybercrime statutes, identity-theft protections, and active legislation around AI in state government shape the engineering compliance environment.

Georgia Personal Identity Protection Act

Requires businesses to notify Georgia residents of data breaches involving personal information; sets minimum standards for data security practices.

Standard breach-notification compliance for any GA-resident-serving business.

Read more

Georgia Computer Systems Protection Act (O.C.G.A. § 16-9-90 et seq.)

State-level cybercrime statute covering unauthorized computer access, computer trespass, computer theft, and identity theft. Establishes Georgia jurisdiction over cyber offenses.

Particularly relevant for cybersecurity, incident response, and ethical-hacking work performed within Georgia.

Read more

Georgia consumer privacy legislation (proposed)

Multiple sessions have seen bills introduced to create CCPA-style privacy rights; none has passed as of 2026.

Engineers should watch this — Georgia passing comprehensive privacy would materially change tech compliance overhead in Atlanta-headquartered businesses.

Read more

Professional Engineer Licensure in Georgia

Georgia does not currently administer a separate Software Engineering PE license. ABET-EAC accreditation is recognized for traditional engineering PE tracks; software engineering is not a recognized Georgia PE discipline. For cybersecurity professionals, federal clearance requirements (Secret, Top Secret, TS/SCI) are far more relevant in the Augusta market than PE licensure.

Georgia licensing board

Georgia Financial Aid Programs

HOPE Scholarship

State merit scholarship

Covers a portion of tuition at GA public schools; varies

Georgia high school graduates with 3.0+ GPA attending eligible GA colleges/universities

Zell Miller Scholarship

State merit scholarship (top tier)

Full standard undergraduate tuition at GA public schools

Georgia HS grads with 3.7+ GPA + qualifying SAT/ACT scores at eligible GA institutions

HOPE Grant

State grant

Covers tuition at GA technical colleges

GA residents pursuing certificates or diplomas at GA technical colleges (no GPA requirement)

Up to ~$900/yr

GA residents attending eligible private GA institutions

REACH Georgia Scholarship

State mentorship + scholarship

$2,500-$10,000 toward college, often paired with HOPE

Selected low-income Georgia students starting in 8th grade who maintain academic standing

Transfer Pathways for Georgia Machine Learning Students

Verdict: Georgia's University System of Georgia (USG) Transfer Pathways provide robust ML-track transfer pathways at the foundational level. The ML-specific consideration is that Georgia Tech CS-ML transfer admission is genuinely competitive (Georgia Tech CS is among the most selective US CS programs at any level, transfer admission is typically 8-15%) while University of Georgia CS-ML, Georgia State University CS-ML, Kennesaw State University, and Georgia Southern University have substantially more accessible ML-track transfer admission.

Best Georgia community college (Georgia Highlands System) ML-track-feeder schools: Georgia Perimeter (now part of Georgia State University) (strong Georgia State and Georgia Tech pathways, refined ML-prerequisite mathematics, geographically positioned in Atlanta for direct industry exposure), Chattahoochee Technical College (NW metro Atlanta, strong Kennesaw State pathway), Athens Technical College (geographically adjacent to UGA, refined UGA-aligned articulation), Georgia Highlands College (NW Georgia, strong Kennesaw State and UGA pathways), Gwinnett Technical College (NE metro Atlanta, strong Georgia Gwinnett College and UGA pathways), Augusta Technical College (strong Augusta University and Georgia Cyber Innovation and Training Center pathways). Each has refined ML-prerequisite mathematics and intro-CS sequences via USG articulation.

The Georgia Perimeter → Georgia State University CS-with-ML-emphasis pathway is the most accessible Atlanta-area progression, Georgia Perimeter is integrated into Georgia State (now Georgia State University's Perimeter College), creating a streamlined transfer to Georgia State CS-ML. The Athens Technical → University of Georgia CS-with-ML-emphasis pathway is the geographically-adjacent UGA optimization. The Georgia Highlands → Kennesaw State CS-with-ML pathway is the affordable NW Georgia alternative.

Beyond Georgia Tech: University of Georgia ML Institute has growing ML research depth with accessible transfer admission (20-35%). Georgia State University has accessible CS-ML programs with substantial Atlanta industry placement. Kennesaw State University has accessible CS-ML programs at affordable in-state tuition. Georgia Southern University has growing CS programs with ML-emphasis. Mercer University (private) has ABET-EAC CS with growing ML-emphasis. Emory University has growing ML research with substantial institutional aid for admitted students. Augusta University has substantial cybersecurity-ML programs given the Army Cyber Center of Excellence adjacency. For Georgia ML-track students, the Georgia Tech pathway is the elite world-class ML research optimization (for the most competitive applicants only); UGA is the strong public flagship optimization; Georgia State is the accessible Atlanta-area optimization with substantial industry placement; Kennesaw State is the affordable comprehensive alternative.

Machine Learning Job Growth in Georgia

15%
The Bureau of Labor Statistics projects 15% growth for machine learning occupations in Georgia through 2024-2034. The median salary stands at $107,450 with 15 accredited programs statewide.

Source: BLS Occupational Outlook

Georgia Machine Learning Engineer Job Market & Salary

Verdict: Georgia has a substantial ML engineer job market anchored by Atlanta's diverse enterprise-ML cluster: Home Depot ML (one of the largest US retail-ML organizations, substantial production-ML at retail-fleet scale), UPS ML (one of the largest US logistics-ML organizations, substantial production-ML at logistics-fleet scale across route optimization, demand forecasting, autonomous-vehicle research), Delta Air Lines ML (Atlanta operations, substantial applied-ML for operations optimization, schedule optimization, dynamic pricing), Coca-Cola ML for consumer products applications, NCR Corporation ML for retail technology, CDC public-health ML applications (unique US public-health ML employer), plus GTRI defense-ML research and growing Atlanta fintech ML. Plus substantial Georgia Tech ML research workforce gravity producing pipeline for Atlanta ML startups and frontier-ML lab placement.

By metro: Atlanta averages ~$165,000-$220,000 for ML engineer roles per Levels.fyi with substantial concentrations at Home Depot ML (substantial retail-ML organization, product recommendation ML at retail-fleet scale, supply-chain ML, customer-experience ML, fraud detection ML, marketing ML), UPS ML (one of the largest US logistics-ML organizations, route optimization at fleet scale [ORION and OPS-related ML], demand forecasting, autonomous-vehicle research, predictive maintenance ML), Delta Air Lines ML (substantial airline-operations ML, schedule optimization, crew scheduling, dynamic pricing, customer-experience ML), Coca-Cola Company ML for consumer products and marketing ML, NCR Corporation ML for retail technology ML, CDC public-health ML applications (substantial epidemiology ML, public-health surveillance ML, unique US public-health ML employer).

Georgia Tech Research Institute (GTRI) is the distinctive Georgia defense-ML employer, substantial ML work for defense and intelligence applications. Mercedes-Benz USA (Atlanta HQ) for automotive ML applications. Microsoft Atlanta for cloud-ML engineering. Plus growing Atlanta fintech ML at NCR Atleos (ATM operations ML), InComm Payments, Global Payments, Worldpay/FIS, and the substantial Atlanta payments-processing ML cluster. Augusta (Augusta River Region) has substantial federal cybersecurity-ML at the Army Cyber Center of Excellence and the Georgia Cyber Center, one of the larger US Army cybersecurity-ML operations.

Three Georgia ML-specific dynamics: (1) Home Depot ML is one of the largest US retail-ML organizations, providing substantial ML engineering opportunities at scale comparable to Big Tech retail-applied-ML (Amazon retail, Walmart, Target) but with substantially more accessible new-graduate hiring than Big Tech. (2) UPS ML's logistics-ML engineering is one of the most-significant US applied-ML operations, route optimization, demand forecasting, and autonomous-vehicle research at logistics-fleet scale create ML engineering opportunities that don't exist at most US employers. (3) Atlanta's enterprise-ML hiring stability through 2022-2024 broader tech downturns, Atlanta enterprise-ML (Home Depot, UPS, Delta, Coca-Cola, CDC) provided substantial ML engineering employment stability 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 Georgia$69,843$155,803
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Machine Learning Programs in Georgia

Online Programs

8 available in Georgia

On-Campus Programs

Traditional classroom experience

Typical Tuition$14,852/yr$16,502/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 Georgia: FAQ

What are the best machine learning degree programs in Georgia?
The best machine learning degree programs in Georgia based on our methodology are: 1) Georgia State University (94% graduation rate), 2) University of Georgia, and 3) Emory University. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). Georgia offers 15 total accredited programs across 10 public and 5 private institutions. See our complete rankings for all 12 bachelor's programs.
How much do machine learning degree programs cost in Georgia?
Machine Learning degree program costs in Georgia vary significantly by institution type. In-state public tuition averages $16,502/year, while private institutions average $36,304/year. Community colleges offer the most affordable path at approximately $4,126/year for associate's degrees. The total 4-year cost ranges from $66,008 at public schools to $145,218 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 Georgia?
Machine Learning professionals in Georgia earn a median salary of $107,450, which is competitive with the national average of $115,500. Entry-level positions typically start around $69,843, while senior roles exceed $155,803. Salaries vary by metro area: Atlanta ($118,195), Savannah ($112,823) 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 Georgia?
Yes, Georgia offers 8 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 Georgia Institute of Technology-Main Campus and Kennesaw State 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 Georgia?
Major Machine Learning employers in Georgia include NCR, Mailchimp, SalesLoft, Calendly, OneTrust. The Atlanta and Savannah metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from Georgia universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. Georgia's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a machine learning degree program worth it in Georgia?
A machine learning degree program in Georgia offers strong ROI with a $107,450 median salary and +22% projected job growth. At average in-state tuition of $16,502/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($121,418), 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 Georgia?
Standard completion times for machine learning degree programs in Georgia 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. Georgia community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a Georgia university for the final 2 years of a bachelor's program.
What financial aid is available for machine learning degree students in Georgia?
Georgia 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. Georgia 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 Georgia'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

Georgia 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.

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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 Georgia

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

Best Bachelor's Machine Learning programs

#1Georgia State UniversityAtlanta, GA

Why it stands out. Required Data Science Capstone project demonstrating comprehensive knowledge. Curriculum developed in consultation with industry practitioners

Hakia insight. Georgia State's required Data Science Capstone, built with input from industry practitioners like Intel, means final projects aren't academic exercises but portfolio pieces that employers have already vetted—students graduate with proven deliverables, not just coursework.

The Bachelor of Science in Data Science at Georgia State University blends mathematics, computing, and real-world problem-solving to prepare students for careers in analytics, predictive modeling, and business intelligence. The curriculum begins with foundational coursework in mathematics and computer programming, followed by four core Data Science courses: Fundamentals of Data Science, Machine Learning, Data Mining, and Database Systems, plus Ethics for Data Science. Students complete 15 credits of elective courses in Data Science and Statistical Learning, culminating in a required Data Science Capstone course where students demonstrate mastery by completing a comprehensive data science project. The program has been developed in consultation with industry practitioners to ensure learning objectives align with current employer needs. Graduates are prepared to enter the job market or pursue graduate study in data science, computer science, or computer engineering.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus

Career outcomes

Top employers: intel

#2University of GeorgiaAthens, GA

Why it stands out. Mandatory capstone course with real-world data analytics project application

Hakia insight. UGA's top employer list (Google, Amazon, IBM, Intel, Boeing) is unusually diverse across domains, reflecting curriculum breadth; most data science programs feed heavily to one or two sectors, but UGA's capstone model trains students for multiple industries simultaneously.

The Bachelor of Science in Data Science at the University of Georgia provides comprehensive training in mathematics, data structures, algorithms, and database management. The curriculum covers data collection, data mining, machine learning, modeling, and statistical inference. Students develop proficiency in software development, distributed data processing, statistical analysis, and data visualization. The program includes a required capstone course focused on applying knowledge and skills to real-world data analytics projects. Graduates are prepared for careers in data-oriented companies including tech giants (Google, Amazon, Facebook, IBM), engineering firms (Intel, Samsung, Boeing), finance/insurance (Goldman Sachs, AIG, Liberty Mutual), pharmaceutical companies (Johnson & Johnson), and government agencies (NASA, NIST, DoD), or for pursuit of graduate studies.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus

Career outcomes

Top employers: Google, Amazon, IBM, Intel, Boeing

Notable faculty

  • Dr. Ramviyas Parasuraman (Director of Graduate Studies)
  • Dr. Kimberly Van Orman (Undergraduate Coordinator)
  • Dr. Fei Dou (Machine Learning & Health Informatics)
#3Emory UniversityAtlanta, GA

Why it stands out. Uniquely tailored to leverage Emory's renowned health science departments with close partnerships in computational and life sciences, offering strong focus on healthcare applications of machine learning

Hakia insight. Emory's $306K median salary reflects not prestige but structural advantage: health science partnerships mean students graduate with domain expertise in healthcare AI, a field where technical skill combined with biomedical fluency commands premium compensation.

At the bachelor's level, emory offers machine learning education through multiple pathways including a Computer Science and Informatics PhD program with strong health science partnerships, a CS MS program, and professional certificates. The university has particular strengths in data mining, machine learning, and biomedical informatics applications.

Programs offered

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

Research labs & institutes

  • Emory Intelligent Information Access Lab (IRLab) — Search and Recommendation systems, Conversational AI, online behavior models
  • Bromberg Lab — Molecular function analysis, genome variation to phenotype correlation

Industry partners

Amazon

Career outcomes

$306,000 median salary

Notable faculty

  • Dr. Eugene Agichtein (Information retrieval, web search, recommender systems, conversational AI)
  • Dr. Yana Bromberg (Bioinformatics, molecular function, genome analysis)
  • Dr. Jinho Choi (Natural language processing, text mining, medical informatics)
  • Dr. Joyce Ho (Healthcare informatics, dimensionality reduction, interpretable models)
#4Kennesaw State UniversityKennesaw, GA

Why it stands out. Hands-on training through labs and classroom work. Team-based group projects simulating real-world computing environments

Hakia insight. Kennesaw State's 2.75 GPA admission threshold serves a strategic purpose—it trains capable students with non-traditional backgrounds, and Intel's recruitment there suggests the university has cracked a talent acquisition channel competitors overlook by targeting driven students rather than top-quartile test scores.

The Bachelor of Science in Computer Science at Kennesaw State University emphasizes computer systems architecture, algorithms, software development, artificial intelligence, and data science. The 120-credit, four-year program includes core coursework in programming, computer architecture, operating systems, networking, information assurance and security, big data, machine learning, data mining, cloud computing, database systems, and software engineering. Students gain hands-on experience through labs, classroom work, and team-based group projects designed to simulate real-world computing environments. The program offers flexible course options including day, evening, and online classes with small class sizes. KSU recruited 7,100+ companies to hire students and alumni in 2020. Graduates pursue careers as software engineers, data analysts, program analysts, web developers, and software consultants. The university also offers a Double Owl Pathway allowing students to pursue graduate degrees (MS in Cybersecurity, Information Technology, Software Engineering) at reduced cost and accelerated timelines.

Programs offered

  • Bachelor of Science in Computer Science · 4 years · on-campus

Career outcomes

Top employers: Intel

Admissions

GPA 2.75.

#5Morehouse CollegeAtlanta, GA

Why it stands out. Morehouse College uniquely combines machine learning education with its historic mission of developing ethical leaders, while participating in Amazon's national consortium to ensure curriculum alignment with industry needs and promoting greater inclusion in the tech workforce.

Hakia insight. Morehouse's dual B.S./B.A. in Machine Learning, anchored by the Center for Broadening Participation in Computing and Amazon's curriculum consortium, transforms ethical leadership—the college's historic mission—into a competitive recruiting asset for tech companies actively seeking diverse ML talent.

At the bachelor's level, morehouse College is significantly advancing its commitment to artificial intelligence and machine learning education through strategic partnerships and innovative initiatives. The college joined the prestigious Amazon-MLU Educators Consortium and Transformation Alliance for 2025-2026, a national initiative designed to integrate industry-aligned AI and ML curriculum. This collaboration provides faculty with hands-on training, open-source instructional content, and cutting-edge resources while building a nationwide community of practice focused on preparing underrepresented students for future careers in AI/ML. The program emphasizes both technical excellence and ethical leadership, aligning with Morehouse's mission to cultivate ethical leaders in technology. Faculty from multiple disciplines including computer science, mathematics, and chemistry are participating, creating an interdisciplinary approach to machine learning education.

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 Broadening Participation in Computing — Computing education and participation

Industry partners

Amazon Web Services

Notable faculty

  • Dr. Sonya Dennis (Computer Science)
  • Dr. Chuang Peng (Mathematics)
  • Dr. Arkajyoti Sengupta (Chemistry with AI applications)
  • Dr. Juana Mendenhall (Academic Innovation and Learning)

Location advantage: Located in Atlanta, a major tech hub Part of Atlanta University Center consortium

#6Mercer UniversityMacon, GA

Why it stands out. Mercer's program uniquely combines comprehensive ML/AI curriculum with accessible online delivery and strong emphasis on ethical AI application across diverse industry sectors.

Hakia insight. Mercer's partnership with NASA and the Georgia Space Grant Consortium gives undergraduates rare access to aerospace ML applications before graduation, a pipeline advantage that most computer science programs don't unlock until internships or grad school.

At the bachelor's level, mercer University's Machine Learning program is delivered through two comprehensive graduate degrees: an MS in Data Science and an MS in Applied Data Intelligence and Machine Learning. The MS in Data Science is a 36-credit online program (18-24 months completion) featuring advanced coursework in machine learning, deep learning, natural language processing, computer vision, and big data analytics. The curriculum fuses computational science, algorithms, artificial intelligence, and statistics to prepare students for data-driven challenges across industries. Students gain hands-on experience with programming languages, ML software packages, cloud computing, and culminate their studies with a capstone project. The program emphasizes ethical AI application and real-world problem solving, preparing graduates for roles in cybersecurity, healthcare, energy, telecommunications, and more.

Programs offered

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

Research labs & institutes

  • Machine Intelligence and Robotics Laboratory — Machine learning, artificial intelligence, and robotics

Industry partners

NASAGeorgia Space Grant ConsortiumAlabama Space Grant ConsortiumMorehouse College

Notable faculty

  • Dr. Anthony Choi (Electrical and computer engineering, machine learning, artificial intelligence, robotics)
  • Dr. Tri Le (Mathematics and computer science)

Location advantage: Access to NASA and aerospace industry partnerships Strong regional collaboration network across Southeast Multiple campus locations in Georgia (Macon, Atlanta, Savannah, Columbus)

#7Clark Atlanta UniversityAtlanta, GA

Why it stands out. CAU's Machine Learning program uniquely positions itself as a hub for AI training at HBCUs through its NSF-funded collaboration with Georgia Tech, specifically addressing diversity gaps in AI research while providing comprehensive education that extends beyond machine learning into optimization and decision-making applications.

Hakia insight. Clark Atlanta's $2.79M NSF-funded AIHUB@CAU collaboration with Georgia Tech's AI4OPT institute means undergrads can co-author optimization research addressing real industry problems—positioning an HBCU as a direct pipeline into academic ML, not just industry jobs.

At the bachelor's level, clark Atlanta University's Machine Learning program is built on a strong foundation in Computer and Information Science, enhanced by a groundbreaking $2.79 million NSF grant to establish AIHUB@CAU in collaboration with Georgia Tech's AI4OPT institute. The program leverages CAU's commitment to advancing AI education and research at HBCUs, with initiatives that expand beyond traditional machine learning to encompass decision-making applications in business analytics, cyber-physical security, and operations research. Students benefit from hands-on research opportunities, including NASA-funded projects in autonomous drone navigation, and faculty mentorship that emphasizes practical application of theory. The program is designed to address the underrepresentation of African Americans in AI research and education while preparing graduates for careers in this rapidly evolving field.

Programs offered

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

Research labs & institutes

  • AIHUB@CAU — AI optimization and decision-making applications

Industry partners

NASAGeorgia Tech AI4OPTNational Science Foundation

Notable faculty

  • Charles B. Pierre (AI optimization and analytics)
  • Dr. Roy George (Autonomous systems and drone technology)

Location advantage: Atlanta technology hub proximity Partnership with Georgia Tech AI4OPT institute Access to NASA research opportunities

#8Berry CollegeMount Berry, GA

Why it stands out. Berry College offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia insight. Berry College's regional positioning in northern Georgia offers proximity to Atlanta's tech corridor while maintaining small-cohort instruction, a rare combination that limits classroom competition without sacrificing industry network access.

Berry College offers Machine Learning programs in Mount Berry, GA. As a private institution, it provides accessible education pathways for students in the region.

#9Georgia College & State UniversityMilledgeville, GA

Why it stands out. Georgia College offers the only graduate Management Information Systems program in middle Georgia and is ranked #4 nationally for affordability among online, accelerated Masters in MIS programs.

Hakia insight. Georgia College's SAP Next-Gen Lab partnership and #4 national ranking for online MIS affordability signals students graduate with hands-on enterprise data systems fluency at a fraction of typical graduate program costs.

At the bachelor's level, georgia College & State University offers a comprehensive Master of Management Information Systems (MMIS) program that has been awarding quality degrees since 1989, representing the only graduate MIS program in middle Georgia. The program is delivered 100% online in an asynchronous format with unique Premium Student Support Hours from 7:30-8:30 PM EST weekly. The curriculum blends technology skills in SAP and SQL with soft skills in analysis, project management, and strategic planning, preparing students for positions in designing, implementing and managing corporate information resources. The program aligns with Certified Information Systems Auditor exam requirements and welcomes students from all undergraduate backgrounds. Additionally, the university offers three specialized online MMIS graduate certificates in Analytics and Machine Learning, Generative AI and Systems Development, and Enterprise Systems and AI, plus an undergraduate Data Science Certificate that prepares students for careers in machine learning 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

  • AI Lab — Artificial intelligence solutions and machine learning training
  • SAP Next-Gen Lab — Enterprise resource planning systems and co-innovation projects
  • E-Commerce Design Lab — E-commerce strategies, solutions, and platform development

Industry partners

SAP

Accreditation & certifications

Certified Information Systems Auditor exam alignment

Location advantage: Only graduate MIS program in middle Georgia Center of Technology and Empowerment with industry partnerships

#10Georgia Southwestern State UniversityAmericus, GA

Why it stands out. Georgia Southwestern State University distinguishes itself by offering both traditional on-campus computer science education and fully online graduate programs, providing flexibility for diverse student populations in rural Georgia.

Hakia insight. Georgia Southwestern's deliberate emphasis on mentorship-driven learning in small classes becomes a structural advantage in rural Georgia, where students gain personalized faculty guidance that larger programs abandon after admission.

At the bachelor's level, at Georgia Southwestern, machine learning is taught as part of a computer science program that values small class sizes and mentorship-driven learning—a significant advantage for students seeking deep engagement with faculty and peers. The curriculum integrates ML concepts across data structures, algorithms, and software engineering courses, with dedicated coursework in machine learning, data mining, and statistical analysis. The program's regional footprint in rural southwest Georgia means fewer distractions and a tight-knit cohort environment where collaborative projects thrive. Students pursuing advanced topics work directly with faculty on independent studies and senior capstones, often presenting results at regional computing conferences. The university's emphasis on practical skills ensures graduates are proficient in industry-standard tools and methodologies, while the liberal arts context encourages interdisciplinary applications—environmental science, business analytics, and social science problems frequently form the basis of ML projects. For students who value accessibility to faculty expertise and a slower-paced environment to build mastery before entering the job market, this program offers genuine advantages.

Programs offered

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

Location advantage: Located in Americus, Georgia Campus dining and recreational facilities available Residence life options for on-campus students

Best Master's Machine Learning programs

#1Georgia Institute of Technology-Main CampusAtlanta, GA

Why it stands out. Machine Learning specialization with 11 total specializations available. Flexible part-time enrollment options for working professionals

Hakia insight. Georgia Tech's 11 available specializations alongside the ML track mean students can simultaneously develop expertise in computer vision or NLP—a modular depth that working professionals at other schools only access through separate certificates or electives.

Georgia Tech's M.S. Computer Science with Machine Learning specialization is designed for working professionals seeking advanced expertise in ML algorithms and applications. The program offers flexible scheduling with part-time completion options and 11 specializations including Machine Learning, Artificial Intelligence, and Computational Perception & Robotics. The Machine Learning track requires 6 core hours (algorithms + ML foundation) and 9 elective hours, covering deep learning, reinforcement learning, NLP, and ML theory. Georgia Tech graduates see significant career advancement, with MS Computer Science holders earning median salaries 30-40% above bachelor's degree holders. The program emphasizes both theoretical foundations and practical applications through industry partnerships and capstone projects. Graduate assistantships are available with tuition support and stipends. No embedded professional certifications are explicitly listed in the curriculum.

Programs offered

  • Master of Science in Computer Science — Machine Learning Specialization · 1-2 years · on-campus

Research labs & institutes

  • Machine Learning at Georgia Tech — Machine Learning
  • Computer Vision Lab — Computer Vision
  • Natural Language Processing Lab — NLP
  • Machine Learning and Perception Lab — ML and Perception
  • Computational Behavior Analysis Lab — Behavior Analysis
  • Entertainment & Intelligence Lab — AI Entertainment
  • RAIL Lab — Robotics and AI
  • STAR Lab — Research

Notable faculty

  • Dr. Irfan Essa (AI, ML, Computer Vision, Robotics)
  • Dr. James Hays (ML, Computer Vision, Robotics)
  • Dr. Mark Riedl (AI, ML, NLP)
  • Dr. Zsolt Kira (ML, Computer Vision, Robotics)
  • Dr. Judy Hoffman (ML, Computer Vision)
  • Dr. Sonia Chernova (AI, Robotics)
  • Dr. Larry Heck (AI, ML, NLP)
#2Georgia State UniversityAtlanta, GA

Why it stands out. Three-semester accelerated program designed for working professionals. Capstone project with practical applications in data-driven industries

Hakia insight. Georgia State's three-semester capstone structure compresses time-to-degree while ensuring students deliver a production-ready data project, a tangible portfolio piece that carries more weight with hiring managers than thesis-only programs.

The Master of Science Analytics (MSA) in Data Science and Analytics with a concentration in Big Data and Machine Learning at Georgia State University is a three-semester, 30-34 credit hour program designed for working professionals. The curriculum blends advanced coursework in data science, machine learning, and big data technologies with practical capstone projects. Graduates develop expertise in data-driven decision-making, ethical data management, and advanced analytics tools. The program prepares professionals for careers across technology, healthcare, finance, and consulting sectors. According to the U.S. Bureau of Labor Statistics, data scientists earn a median annual wage of $103,500 (as of May 2022), with employment projected to grow 35% from 2022-2032—much faster than average occupations. Approximately 17,700 job openings for data scientists are projected annually over the decade, representing significant mid-career salary advancement and career growth opportunities for bachelor's degree holders.

Programs offered

  • Master of Science Analytics (MSA) in Data Science and Analytics, concentration in Big Data and Machine Learning · 1-2 years · on-campus

Career outcomes

$103,500 median salary
#3Emory UniversityAtlanta, GA

Why it stands out. STEM-designated degree. Full-time immersive format

Hakia insight. Emory's STEM designation on its business analytics degree unlocks 36-month Optional Practical Training for international graduates—a competitive visa advantage that makes the program financially viable for students unlikely to access H-1B sponsorship elsewhere.

Emory's STEM-designated Master of Science in Business Analytics is a full-time, immersive program designed for early-career professionals to develop advanced data science and business analytics capabilities. The program emphasizes hands-on, project-based learning bridging theory and practice through real-world projects with industry partners. Students master tools like Python, R, and cloud-based AI frameworks while building skills in machine learning, artificial intelligence, cloud analytics, and data visualization. Four customizable academic tracks—AI in Business, Business Analytics, Marketing Analytics, and Supply Chain Analytics—allow tailored career pathways. A capstone project with industry partners provides practical experience and executive-level networking. The program qualifies for STEM OPT benefits, allowing F-1 international students up to 36 months of post-graduation work authorization. Graduates emerge as analytically sophisticated business data scientists prepared for leadership roles in AI-enabled organizations.

Programs offered

  • Master of Science in Business Analytics · 1-2 years · on-campus

Research labs & institutes

  • Emory Intelligent Information Access Lab (IRLab) — Search and Recommendation systems, Conversational AI, online behavior models
  • Bromberg Lab — Molecular function analysis, genome variation to phenotype correlation

Industry partners

Amazon

Notable faculty

  • Dr. Eugene Agichtein (Information retrieval, web search, recommender systems, conversational AI)
  • Dr. Yana Bromberg (Bioinformatics, molecular function, genome analysis)
  • Dr. Jinho Choi (Natural language processing, text mining, medical informatics)
  • Dr. Joyce Ho (Healthcare informatics, dimensionality reduction, interpretable models)
#4University of GeorgiaAthens, GA

Why it stands out. Fully online delivery with flexibility for working professionals. Cohort-based model for peer support and professional networking

Hakia insight. UGA's cohort-based online model creates an unusual professional network effect: students graduate having built trust relationships with 20-30 peers across industries, often translating into collaborative hiring or referral advantages post-graduation.

The Master of Science in Applied Data Science from the University of Georgia is a fully online, 30-credit program designed for working professionals seeking to advance in data-driven roles. The curriculum integrates statistics, machine learning, natural language processing, and data management with hands-on experience in Python and R. Students complete the program in approximately two years (five semesters) at a manageable 8-12 hours per week, allowing full-time work continuation. The program features an active Industry Advisory Board connecting coursework to current industry practice, guest lectures from data science leaders, and real-world practicum projects. Career outcomes include roles as data scientist, machine learning engineer, business intelligence analyst, and advancement to leadership positions such as data science manager or analytics director. The State Farm MAGNet program provides eligible students with hybrid/in-person opportunities at the company's Athens office, often leading to full-time employment. Graduates benefit from UGA Career Center support, faculty mentoring, and alumni networking opportunities. The program emphasizes applied skills applicable across technology, healthcare, finance, and government sectors, with strong demand projected by the U.S. Bureau of Labor Statistics.

Programs offered

  • Master of Science in Applied Data Science · 1-2 years · on-campus

Career outcomes

Top employers: Intel

Notable faculty

  • Dr. Ramviyas Parasuraman (Director of Graduate Studies)
  • Dr. Kimberly Van Orman (Undergraduate Coordinator)
  • Dr. Fei Dou (Machine Learning & Health Informatics)
#5Kennesaw State UniversityKennesaw, GA

Why it stands out. Flexible part-time and full-time enrollment options. Thesis vs. capstone track options: thesis for original AI research with field contribution; capstone for real-world AI-driven project addressing industry challenges

Hakia insight. Kennesaw's dual thesis/capstone track with a 2.75 GPA requirement democratizes AI graduate education—students pursuing original research don't compete for limited advisor slots, while capstone tracks directly align with companies like Microsoft and aerospace firms actively recruiting from Georgia's talent pool.

Kennesaw State University's Master of Science in Artificial Intelligence (MSAI) is Georgia's second AI master's program, offering a 30-credit interdisciplinary curriculum emphasizing experiential learning in machine learning, deep learning, neural networks, natural language processing, and computer vision. The program provides flexible part-time and full-time enrollment options, allowing completion in 1-2 years while working full-time. Students choose between a thesis track (original AI research with in-depth contribution to the field) or capstone track (real-world AI-driven project addressing industry challenges). No GMAT required. Foundation coursework available for non-CS backgrounds. Graduates pursue roles as AI application developers, machine learning engineers, data scientists, research scientists, and solutions architects across defense, ecommerce, finance, and healthcare sectors.

Programs offered

  • Master of Science in Artificial Intelligence · 1-2 years · on-campus

Admissions

GPA 2.75.

#6Georgia Southwestern State UniversityAmericus, GA

Why it stands out. Georgia Southwestern State University distinguishes itself by offering both traditional on-campus computer science education and fully online graduate programs, providing flexibility for diverse student populations in rural Georgia.

Hakia insight. Georgia Southwestern's online-first approach to a master's degree eliminates the false choice between career continuity and advanced credentials for working professionals in rural regions, a geographic equity advantage competitors overlook.

At the master's level, at Georgia Southwestern, machine learning is taught as part of a computer science program that values small class sizes and mentorship-driven learning—a significant advantage for students seeking deep engagement with faculty and peers. The curriculum integrates ML concepts across data structures, algorithms, and software engineering courses, with dedicated coursework in machine learning, data mining, and statistical analysis. The program's regional footprint in rural southwest Georgia means fewer distractions and a tight-knit cohort environment where collaborative projects thrive. Students pursuing advanced topics work directly with faculty on independent studies and senior capstones, often presenting results at regional computing conferences. The university's emphasis on practical skills ensures graduates are proficient in industry-standard tools and methodologies, while the liberal arts context encourages interdisciplinary applications—environmental science, business analytics, and social science problems frequently form the basis of ML projects. For students who value accessibility to faculty expertise and a slower-paced environment to build mastery before entering the job market, this program offers genuine advantages.

Programs offered

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

Location advantage: Located in Americus, Georgia Campus dining and recreational facilities available Residence life options for on-campus students

#7Georgia Southern UniversityStatesboro, GA

Why it stands out. Georgia Southern offers one of the most affordable computer science programs in Georgia with Direct Admissions pathways for qualified students, featuring specialized machine learning concentrations from master's through doctoral levels.

Hakia insight. Georgia Southern's 2.5 GPA direct admissions threshold combined with employment outcomes from Gulfstream Aerospace and Samsung signals the program deliberately recruits talent overlooked by selective programs, then proves it in aerospace and semiconductor hiring.

At the master's level, georgia Southern University's Machine Learning program is offered through multiple degree pathways including a specialized MS in Computer Science - Machine Learning concentration and PhD in Applied Computing with Machine Learning focus. The program combines theoretical foundations with hands-on research experience, featuring small class sizes for personalized learning and access to expert faculty. Students benefit from state-of-the-art facilities across Armstrong and Statesboro campuses, with flexible learning options including online and hybrid formats. The program emphasizes real-world applications through lab activities, industry partnerships, and research opportunities. Georgia Southern's location in Coastal Georgia provides access to innovation, manufacturing, and supply chain sectors, with the Savannah area serving as a key economic hub for aerospace and defense industries.

Programs offered

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

Industry partners

MicrosoftGeneral MotorsGulfstream AerospaceSamsung Electronics AmericaUnited States Air ForceU.S. Food and Drug Administration

Career outcomes

0

Top employers: Microsoft, General Motors, Gulfstream Aerospace, Samsung Electronics America, United States Air Force, Northrop Grumman

Notable faculty

  • Dr. Chen L (Machine Learning and Cybersecurity)
  • Dr. Kim J (Deep Learning Applications)
  • Dr. Ji Y (Social Network Security and AI)

Admissions

GPA 2.5.

Location advantage: Access to Coastal Georgia's innovation and manufacturing sectors Proximity to Savannah's fourth-largest container port in the U.S. Connection to top aerospace and defense region

#8Clark Atlanta UniversityAtlanta, GA

Why it stands out. CAU's Machine Learning program uniquely positions itself as a hub for AI training at HBCUs through its NSF-funded collaboration with Georgia Tech, specifically addressing diversity gaps in AI research while providing comprehensive education that extends beyond machine learning into optimization and decision-making applications.

Hakia insight. CAU's AIHUB@CAU—backed by NSF funding and Georgia Tech collaboration—positions master's students to publish research addressing AI fairness and optimization, creating a publication record that shifts career trajectories from practitioner to researcher.

At the master's level, clark Atlanta University's Machine Learning program is built on a strong foundation in Computer and Information Science, enhanced by a groundbreaking $2.79 million NSF grant to establish AIHUB@CAU in collaboration with Georgia Tech's AI4OPT institute. The program leverages CAU's commitment to advancing AI education and research at HBCUs, with initiatives that expand beyond traditional machine learning to encompass decision-making applications in business analytics, cyber-physical security, and operations research. Students benefit from hands-on research opportunities, including NASA-funded projects in autonomous drone navigation, and faculty mentorship that emphasizes practical application of theory. The program is designed to address the underrepresentation of African Americans in AI research and education while preparing graduates for careers in this rapidly evolving field.

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

  • AIHUB@CAU — AI optimization and decision-making applications

Industry partners

NASAGeorgia Tech AI4OPTNational Science Foundation

Notable faculty

  • Charles B. Pierre (AI optimization and analytics)
  • Dr. Roy George (Autonomous systems and drone technology)

Location advantage: Atlanta technology hub proximity Partnership with Georgia Tech AI4OPT institute Access to NASA research opportunities

#9University of West GeorgiaCarrollton, GA

Why it stands out. UWG's machine learning program stands out through its applied focus with hands-on experiential learning, ABET accreditation, and flexible delivery options including accelerated face-to-face and fully online pathways that prepare students for immediate industry impact.

Hakia insight. UWG's AI Trust Research Lab embedded in its applied program design means students don't study explainable AI as theory—they build it into capstone projects addressing real regulatory and ethical constraints, a resume distinction when hiring managers vet governance readiness.

At the master's level, the University of West Georgia offers comprehensive machine learning education through multiple pathways including a BS in Computer Science and MS in Applied Computer Science. The undergraduate program provides focused curriculum covering object-oriented programming, web technologies, software engineering, databases, intelligent systems, machine learning, system architecture, and cloud computing. Students benefit from face-to-face learning with experienced faculty, small class sizes for personalized attention, cutting-edge technology facilities, and experiential learning through capstone projects and paid internships. The graduate program is available both 100% online (2 years part-time) and face-to-face (16 months accelerated), designed for professionals seeking software development careers. The university also offers an Embedded Certificate in Data Science through cross-disciplinary partnership between Computer Science and Mathematics programs, emphasizing data analytics, machine learning fundamentals, and ethical data science practices from acquisition to model deployment.

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 Trust Research Lab — Reliable AI and trustworthy machine learning systems

Notable faculty

  • Dr. Md Shirajum Munir (Artificial Intelligence and Machine Learning)
  • Dr. Mostafizur Rahman (Applied Computer Science)

Admissions

Deadline Fall semester only for graduate program.

Accreditation & certifications

ABET AccreditedSACSCOC Accredited

Location advantage: Cutting-edge technology facilities Small class sizes for personalized attention Virtual computing labs available

Best Doctoral Machine Learning programs

#1Emory UniversityAtlanta, GA

Why it stands out. Uniquely tailored to leverage Emory's renowned health science departments with close partnerships in computational and life sciences, offering strong focus on healthcare applications of machine learning

Hakia insight. Emory's $306K median salary reflects a deliberate positioning around biomedical ML: Dr. Agichtein's conversational AI work and Dr. Bromberg's genome analysis labs create a rare doctoral pipeline where healthcare domain expertise commands premium compensation.

At the doctoral level, emory offers machine learning education through multiple pathways including a Computer Science and Informatics PhD program with strong health science partnerships, a CS MS program, and professional certificates. The university has particular strengths in data mining, machine learning, and biomedical informatics applications.

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

  • Emory Intelligent Information Access Lab (IRLab) — Search and Recommendation systems, Conversational AI, online behavior models
  • Bromberg Lab — Molecular function analysis, genome variation to phenotype correlation

Industry partners

Amazon

Career outcomes

$306,000 median salary

Notable faculty

  • Dr. Eugene Agichtein (Information retrieval, web search, recommender systems, conversational AI)
  • Dr. Yana Bromberg (Bioinformatics, molecular function, genome analysis)
  • Dr. Jinho Choi (Natural language processing, text mining, medical informatics)
  • Dr. Joyce Ho (Healthcare informatics, dimensionality reduction, interpretable models)
#2University of GeorgiaAthens, GA

Why it stands out. UGA views AI as an interdisciplinary field with over 90 affiliated faculty from colleges across campus, emphasizing the diversity of research interests and the ability to pursue AI applications in various disciplines including philosophy, cognition, psychology, linguistics, and engineering.

Hakia insight. UGA's 90+ affiliated faculty across philosophy, psychology, and linguistics means ML students can pursue dissertations that other programs would classify as outside computer science—a structural advantage for those studying human-centered AI.

At the doctoral level, the University of Georgia's Institute for Artificial Intelligence offers interdisciplinary AI and machine learning programs where computing meets philosophy, cognition, psychology, linguistics, and engineering. The institute provides degree programs focused on advancing AI science and facilitating societal impact through AI applications across disciplines.

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. Ramviyas Parasuraman (Director of Graduate Studies)
  • Dr. Kimberly Van Orman (Undergraduate Coordinator)
  • Dr. Fei Dou (Machine Learning & Health Informatics)
#3Georgia State UniversityAtlanta, GA

Why it stands out. The program focuses on the intersection of computer science, statistical methodologies, and a wide range of application domains, with emphasis on ethical implications and responsibilities in data science while preparing students to lead data-driven projects across diverse sectors.

Hakia insight. Georgia State's emphasis on ethical implications while placing graduates into payment processing and government agencies creates an unusual dynamic: students learn to interrogate bias in systems that will actually use their work.

At the doctoral level, the Master of Science Analytics (M.S.A.) in Data Science and Analytics with a Concentration in Big Data and Machine Learning at Georgia State University blends advanced coursework in data science and machine learning with practical applications designed to meet the demands of today's data-driven world. This program is specifically designed to train professionals in the rapidly growing field of data science, equipping them with the skills needed to transform big data into actionable insights.

Programs offered

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

Career outcomes

$103,500 median salary

Top employers: Technology firms and startups, Healthcare and pharmaceutical companies, Government agencies and research institutions, Payment processing sector, Consulting and analytics service providers, E-commerce and online retail

#4Georgia Institute of Technology-Main CampusAtlanta, GA

Why it stands out. AI and ML touch multiple areas and schools within the College of Computing, with faculty leading two NSF-funded National AI centers (AI-ALOE and AI-CARING) and the Institute for Robotics and Intelligent Machines (IRIM).

Hakia insight. Georgia Tech's leadership of two NSF National AI Centers (AI-ALOE and AI-CARING) isn't just prestige—it guarantees doctoral students access to federally-funded research agendas that shape the field, not follow it.

At the doctoral level, georgia Tech offers artificial intelligence and machine learning programs focusing on core research problems in intelligence involving fundamental advances in AI, ML, and deep learning, as well as challenges in computer vision and natural language processing. The programs include undergraduate threads, graduate specializations, and both MS and PhD pathways.

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

  • Machine Learning at Georgia Tech — Machine Learning
  • Computer Vision Lab — Computer Vision
  • Natural Language Processing Lab — NLP
  • Machine Learning and Perception Lab — ML and Perception
  • Computational Behavior Analysis Lab — Behavior Analysis
  • Entertainment & Intelligence Lab — AI Entertainment
  • RAIL Lab — Robotics and AI
  • STAR Lab — Research

Notable faculty

  • Dr. Irfan Essa (AI, ML, Computer Vision, Robotics)
  • Dr. James Hays (ML, Computer Vision, Robotics)
  • Dr. Mark Riedl (AI, ML, NLP)
  • Dr. Zsolt Kira (ML, Computer Vision, Robotics)
  • Dr. Judy Hoffman (ML, Computer Vision)
  • Dr. Sonia Chernova (AI, Robotics)
  • Dr. Larry Heck (AI, ML, NLP)