University campus in Maryland
Updated July 13, 2026

Best Machine Learning Degree Programs in Maryland, 2026 Rankings

Compare the top machine learning colleges in Maryland. 14 accredited machine learning schools ranked by graduation rate, career outcomes, and value, from University of Maryland-College Park to University of Maryland-College Park.

#1 ProgramU of Maryland-College Park
Avg Salary$122,420
Tuition From$9,889/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

22

Programs ranked

IPEDS 2024

$122,420

Maryland median machine learning salary

BLS OEWS 2024

88/100

Top program score

Hakia methodology

23%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best machine learning degree programs: U of Maryland-College Park, U of Maryland-Baltimore C..., Towson

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $4,933 to $62,840/year

U of Maryland-College Park offers the most affordable option at $9,889/yr

IPEDS 2024

Machine Learning degree programs available: 7 master's, 4 doctoral in Maryland

From community college pathways to advanced research degrees

IPEDS 2024

1 online machine learning degree programs in Maryland

Flexible scheduling for working professionals

IPEDS 2024

Major employers: NSA, Lockheed Martin, Johns Hopkins APL, Northrop Grumman

Tech hubs in Baltimore and Bethesda

Hakia Research 2026

Machine Learning degree programs near 43+ cities across Maryland

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

IPEDS 2024

Updated July 13, 2026

How we ranked Maryland Machine Learning programs

We rank 22 accredited machine learning programs in Maryland 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 Maryland Worth It?

Answer
$122,420
Yes. The best machine learning degree programs in Maryland deliver strong ROI, graduates earn $122,420 median salary with +22% job growth through 2032. In-state tuition averages $24,478/year.

Source: BLS OEWS May 2024

Machine Learning Degree Rankings in Maryland

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

Best Bachelor's Machine Learning Programs in Maryland

11
Programs ranked
$22,370
Avg tuition/yr
74%
Avg grad rate

Program Landscape

Maryland ranks among the nation's top destinations for machine learning education, with 11 accredited bachelor's degree programs across 6 public and 5 private institutions. The highest-ranked programs are U of Maryland-College Park, U of Maryland-Baltimore C..., Towson, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Maryland machine learning programs earn a median salary of $104,057, 6% above the national average. The state's robust technology sector, anchored by the Baltimore, Bethesda, Rockville metropolitan areas, provides abundant internship and employment opportunities with companies including NSA, Lockheed Martin, Johns Hopkins APL.

Costs & Value

Tuition ranges from $4,933 to $55,480 annually, with an average of $22,370/yr. Top programs maintain graduation rates above 74%, with the highest reaching 92%. 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 Maryland's leading technology employers. For students seeking machine learning degrees in Maryland, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

Show all 11 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Hood CollegeFrederick, MDPrivate$45,12084%47.3
#7Coppin State UniversityBaltimore, MDPublic$4,933—48.3
#8Washington Adventist UniversityTakoma Park, MDPrivate$23,400—43.1
#9Washington CollegeChestertown, MDPrivate$52,146—43.1
#10Frostburg State UniversityFrostburg, MDPublic$7,110—36.1
#11Women's Institute of Torah Seminary and CollegeBaltimore, MDPrivate$9,0002%25.1

Best Master's Machine Learning Programs in Maryland

7
Programs ranked
$21,024
Avg tuition/yr
80%
Avg grad rate

Program Landscape

Maryland offers 7 master's degree programs in machine learning, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, U of Maryland-Baltimore C..., U of Maryland-College Park, Towson, combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in Maryland earn a median salary of $122,420, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Baltimore, Bethesda, Rockville creates strong demand for graduate-level talent, with NSA, Lockheed Martin, Johns Hopkins APL 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 $21,024/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 Maryland's machine learning schools at the graduate level, these programs stand out for both academic quality and career outcomes.

#5
Hood College
Frederick, MDPrivate
$45,120
Tuition/yr
84%
Grad rate
55.0
Hakia Score
Show all 7 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Frostburg State UniversityFrostburg, MDPublic$7,110—45.4
#7Morgan State UniversityBaltimore, MDPublic$5,58752%42.8

Best Doctoral Machine Learning Programs in Maryland

4
Programs ranked
$12,701
Avg tuition/yr
78%
Avg grad rate

Program Landscape

Maryland is home to 4 doctoral programs in machine learning, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at U of Maryland-College Park, U of Maryland-Baltimore C..., Capitol Technology are recognized for cutting-edge research, strong faculty publications, and competitive funding packages.

Career Outcomes

Doctoral graduates command premium salaries, with Maryland PhD holders earning a median of $153,025, reflecting the advanced expertise required for research and executive positions. The Baltimore, Bethesda, Rockville region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like NSA, Lockheed Martin, Johns Hopkins APL.

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

MetricValue
Average in-state tuition$24,478/year
Average out-of-state tuition$61,195/year
Community college tuition$6,120/year
4-year savings for residents$146,868
2+2 transfer pathway savings$36,716

Source: IPEDS 2024

Financial Aid & Scholarships for Machine Learning Students in Maryland

State Aid Programs

Maryland residents pursuing machine learning degrees have access to multiple financial aid pathways. The primary federal resource is the Free Application for Federal Student Aid (FAFSA), available through Federal Student Aid, which determines eligibility for grants, loans, and work-study programs. Additionally, Maryland offers the Senatorial/Delegate Scholarship, a need-based award program administered through the Maryland Higher Education Commission that provides direct support to state residents. This scholarship is allocated by individual state legislators and delegates, making it a valuable option for qualified applicants attending Maryland institutions.

Key Programs & Amounts

Beyond state-level aid, many Maryland institutions offering machine learning programs provide merit-based scholarships and institutional aid packages. The University of Maryland system and community colleges often feature competitive scholarship opportunities for high-achieving students. Students should also explore private scholarships through professional organizations in technology and data science fields. For detailed information on all federal aid options, including loans and grants, the College Scorecard provides institution-specific financial aid data and allows comparison across Maryland schools. Community college students benefit from lower initial costs, with many Maryland two-year institutions offering affordable pathways before transferring to four-year programs through the ARTSYS (Articulation System), which ensures course credit transfers seamlessly across the state's higher education network.

Machine Learning Degree ROI Calculator, Maryland

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

+1116%

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

Net Gain

$2,064,777

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

$110,345

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)$3,100,185

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 (Washington, DC)$160,000

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

Annualized Return5.6%

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 Maryland metro areas

Baltimore$135K
Bethesda$129K
Rockville$122K
View data table
CategoryValue
Baltimore$135K
Bethesda$129K
Rockville$122K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Machine Learning Graduates in Maryland

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

Machine Learning Jobs in Baltimore

MD
Northrop Grumman
defense
Lockheed Martin
defense
ZeroFOX
cybersecurity
Catalyte
tech
Under Armour
retail-tech

Machine Learning Jobs in Bethesda-Rockville

MD
Lockheed Martin
defense
NIH
government
Leidos
defense
DMI
consulting
Cloudbolt Software
cloud

Machine Learning Jobs in Columbia-Fort Meade

MD
NSA
government
US Cyber Command
government
Booz Allen Hamilton
consulting
SAIC
defense

Transfer Pathways for Machine Learning Degrees in Maryland

State Transfer System

Maryland's articulation system streamlines the transfer process for machine learning students. The ARTSYS (Articulation System) (https://artsys.usmd.edu/) maps course equivalencies between Maryland's 18 community colleges and four-year institutions, ensuring that students complete credits that apply directly toward bachelor's degrees. This system eliminates duplicate coursework and accelerates degree completion, particularly valuable for students pursuing machine learning concentrations. Maryland's 18 two-year institutions offer associate's degree programs in machine learning, with top providers including Montgomery College, Anne Arundel Community College, and Community College of Baltimore County. These institutions provide affordable pathways, tuition ranges from $5,016 at Prince George's Community College to $8,190 at Montgomery College, making advanced education accessible before transferring to four-year programs.

How Transfers Work

Transfer articulation agreements between community colleges and universities like University of Maryland-College Park, University of Maryland-Baltimore County, and Towson University allow students to seamlessly transition into bachelor's programs. Students completing associate's degrees finish their first two years of a bachelor's curriculum at community colleges, then transfer to complete upper-level coursework and specializations. The Maryland Higher Education Commission publishes transfer policies and guaranteed admission agreements that protect transfer credits. For detailed transfer planning, students should consult ARTSYS and institutional transfer offices. Those interested in expanding to related fields can explore transfer options in data analytics and artificial intelligence. Financial aid remains consistent through transfer, with federal student aid continuing eligibility as long as students remain in accredited institutions.

Why Pursue a Machine Learning Degree in Maryland?

Industry & Workforce

Maryland is a premier destination for machine learning education, with 25 institutions offering programs across all degree levels, according to (IPEDS). The state awarded 1,479 bachelor's degrees, 395 master's degrees, and 55 doctoral degrees in machine learning during 2023, demonstrating strong educational pathways from entry-level to advanced research. This comprehensive ecosystem positions Maryland graduates to compete in the rapidly expanding artificial intelligence and data science sectors. The University of Maryland-College Park alone produced 1,013 completions, making it the nation's leading producer of machine learning talent in the state.

Salary Outlook

Maryland's geographic advantages further strengthen its appeal. The state encompasses multiple technology hubs including the Baltimore-Columbia-Towson metropolitan area and the Washington-Arlington-Alexandria region, home to major employers like Johns Hopkins, NIH, Lockheed Martin, and the University of Maryland. Average public in-state tuition at four-year institutions is just $7,730, making quality education accessible compared to private alternatives. Students can explore related fields through Maryland's strong programs in artificial intelligence, data science, and computer science. For those seeking specific affordability benchmarks, Maryland offers some of the nation's most affordable machine learning programs, with top schools like Coppin State University charging as little as $4,933 in tuition.

Machine Learning Program Availability in Maryland

14 Programs
Maryland offers 14 accredited machine learning programs across public universities, private colleges, and community colleges. Top tech hubs include Baltimore, Bethesda, Rockville.

Source: IPEDS 2024

Machine Learning Job Market & Salary Data in Maryland

Employment Outlook

Maryland's machine learning job market is experiencing significant growth, driven by a strong technology sector concentrated in major metropolitan areas. The state's proximity to the nation's capital and presence of major research institutions create substantial demand for skilled machine learning professionals. According to BLS occupational data, technology and data-driven roles continue to expand across Maryland's key employment hubs. The Baltimore-Columbia-Towson and Washington-Arlington-Alexandria metro areas (Maryland portion) represent the strongest job markets, with concentrated hiring in machine learning, artificial intelligence, and data science roles. Students graduating from Maryland's machine learning programs, particularly from top institutions like University of Maryland-College Park and University of Maryland-Baltimore County, are well-positioned to enter this competitive job landscape.

Salaries by Metro

The state's machine learning workforce is supported by diverse industry sectors spanning defense, healthcare, biotechnology, and hospitality. Major employers including Johns Hopkins, NIH, Lockheed Martin, and Marriott actively recruit machine learning talent across Maryland cities including Baltimore, Columbia, Germantown, Silver Spring, Rockville, Frederick, and Bethesda. Entry-level machine learning engineers and data scientists can expect competitive compensation packages aligned with national standards. Maryland's average public in-state tuition for four-year institutions at $7,730 provides an affordable pathway to entering this lucrative field. For career planning and salary information, visit the College Scorecard and explore related programs such as Data Science in Maryland and Artificial Intelligence in Maryland to understand complementary career pathways.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in Maryland$79,573$177,509
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Machine Learning Programs in Maryland

Online Programs

1 available in Maryland

On-Campus Programs

Traditional classroom experience

Typical Tuition$22,030/yr$24,478/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

Best Machine Learning Degree Programs in Pennsylvania
Total Programs
74
Median Tuition
$37,700
Top Program
Carnegie Mellon University
Best Machine Learning Degree Programs in Virginia
Total Programs
28
Median Tuition
$10,100
Top Program
William & Mary
Best Machine Learning Degree Programs in West Virginia
Total Programs
9
Median Tuition
$9,600
Top Program
West Virginia University
Best Machine Learning Degree Programs in California
Total Programs
179
Median Tuition
$5,700
Top Program
University of California-Berkeley
Best Machine Learning Degree Programs in Washington
Total Programs
39
Median Tuition
$11,000
Top Program
University of Washington-Seattle Campus
Best Machine Learning Degree Programs in Texas
Total Programs
73
Median Tuition
$9,000
Top Program
Texas A & M University-College Station
Best Machine Learning Degree Programs in New York
Total Programs
119
Median Tuition
$7,100
Top Program
Cornell University

Machine Learning Degree Programs in Maryland: FAQ

What are the best machine learning degree programs in Maryland?
The best machine learning degree programs in Maryland based on our methodology are: 1) University of Maryland-College Park (84% graduation rate), 2) University of Maryland-Baltimore County, and 3) Towson University. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). Maryland offers 14 total accredited programs across 7 public and 7 private institutions. See our complete rankings for all 11 bachelor's programs.
How much do machine learning degree programs cost in Maryland?
Machine Learning degree program costs in Maryland vary significantly by institution type. In-state public tuition averages $24,478/year, while private institutions average $53,852/year. Community colleges offer the most affordable path at approximately $6,120/year for associate's degrees. The total 4-year cost ranges from $97,912 at public schools to $215,406 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 Maryland?
Machine Learning professionals in Maryland earn a median salary of $122,420, which is 6% above the national average of $115,500. Entry-level positions typically start around $79,573, while senior roles exceed $177,509. Salaries vary by metro area: Baltimore ($134,662), Bethesda ($128,541) 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 Maryland?
Yes, Maryland offers 1 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 Washington Adventist 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 Maryland?
Major Machine Learning employers in Maryland include NSA, Lockheed Martin, Johns Hopkins APL, Northrop Grumman, Leidos. The Baltimore and Bethesda metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from Maryland universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. Maryland's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a machine learning degree program worth it in Maryland?
A machine learning degree program in Maryland offers strong ROI with a $122,420 median salary and +22% projected job growth. At average in-state tuition of $24,478/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($138,335), 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 Maryland?
Standard completion times for machine learning degree programs in Maryland 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. Maryland community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a Maryland university for the final 2 years of a bachelor's program.
What financial aid is available for machine learning degree students in Maryland?
Maryland 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. Maryland 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 Maryland's priority deadline to maximize aid eligibility. Some employers also offer tuition reimbursement for employees pursuing CS degrees.

Data Sources

IPEDS 2024

Institutional characteristics, completions, graduation rates

BLS OEWS May 2024

Maryland 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 Maryland

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

#1University of Maryland-College ParkCollege Park, MD

Why it stands out. Capstone in Machine Learning (CMSC473) project course. Specialization requires breadth across five distributional areas

Hakia insight. UMD College Park's location 30 minutes from NIST and federal agencies gives students direct access to government ML research—rare for undergrads—while faculty like Furong Huang (optimization theory) and Dinesh Manocha (computer vision) anchor the program in cutting-edge research that shapes both academia and policy.

The Bachelor of Science in Computer Science with a Machine Learning specialization at University of Maryland-College Park provides a rigorous foundation in computational methods, artificial intelligence, and data science. Students complete core lower-level courses in mathematics and computer science fundamentals, followed by specialized upper-level coursework in machine learning, deep learning, computer vision, and natural language processing. The program culminates in CMSC 473 (Capstone in Machine Learning), a hands-on project course. The curriculum requires students to fulfill upper-level computer science requirements across at least three of five distributional areas (Systems, Information Processing, Software Engineering and Programming Languages, Theory, and Numerical Analysis), ensuring broad technical competency. The specialization emphasizes practical applications through courses like Introduction to Data Science, Introduction to Artificial Intelligence, and Computational Methods, preparing graduates for roles in machine learning engineering, data science, and AI development.

Programs offered

  • Bachelor of Science in Computer Science with Machine Learning Specialization · 4 years · on-campus

Research labs & institutes

  • University of Maryland Institute for Advanced Computer Studies (UMIACS) — Collaborative research in AI, machine learning, data science
  • Perception and Robotics Group — Computer vision, robotics, autonomous systems
  • Natural Language Processing Group — NLP, machine translation, information extraction

Industry partners

MicrosoftGoogleAmazonNISTNSANaval Research Laboratory (NRL)

Career outcomes

$130,000,150,000 median salary

Notable faculty

  • Furong Huang (Machine learning theory, optimization, neural network training)
  • Dinesh Manocha (Computer vision, robotics, autonomous systems)
  • Jordan Boyd-Graber (Natural language processing, machine learning)

Accreditation & certifications

ABET accredited

Location advantage: Proximity to National Institute of Standards and Technology (NIST) for government partnerships 30 minutes from Washington, D.C. federal agencies and policy centers 45 minutes from Baltimore biomedical and healthcare tech corridor Integrated partnerships with NSA and Naval Research Laboratory

#2University of Maryland-Baltimore CountyBaltimore, MD

Why it stands out. ABET-accredited program. Optional specialization tracks including AI/ML, Data Science, Cybersecurity, and Game Development

Hakia insight. UMBC's partnership with Johns Hopkins APL and proximity to NSA creates a specialized pipeline into defense-sector ML roles that most undergraduate programs simply don't offer; students work on real anomaly detection and cybersecurity ML problems rather than textbook examples.

The Bachelor of Science in Computer Science at UMBC is an ABET-accredited program preparing students for careers in the computing industry and graduate studies. The curriculum requires 120 credits across programming, discrete structures, data structures, operating systems, algorithms, software engineering, and mathematics. Students must complete a minimum of 75 credits in major requirements with a minimum grade of C (B for gateway courses). The program offers optional specialization tracks in Artificial Intelligence and Machine Learning, Data Science, Cybersecurity, and Game Development, each adding 12-19 credits of focused coursework. The AI/ML track includes core courses in Introduction to Artificial Intelligence and Introduction to Machine Learning, with electives in Computer Vision, Natural Language Processing, Neural Networks, and Robotics. Computing jobs are among the fastest growing and highest paid in the country according to the U.S. Bureau of Labor Statistics. UMBC computer science graduates are employed by tech industry leaders, government agencies, the defense industry, and video game companies, with many admitted to top graduate programs.

Programs offered

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

Research labs & institutes

  • Center for Accelerated Real-Time Analytics (CARTA) — Real-time machine learning and high-performance computing
  • Cyber Defense Lab — Machine learning for cybersecurity and anomaly detection

Industry partners

Northrop GrummanLockheed MartinJohns Hopkins University Applied Physics Laboratory

Notable faculty

  • Haimonti Dutta (Machine learning for cybersecurity and anomaly detection)
  • Konstantinos Michmizos (Computational neuroscience and machine learning)

Accreditation & certifications

ABET accredited

Location advantage: Proximity to Baltimore-Washington tech corridor Access to defense and intelligence sector employers (NSA, APL, Northrop Grumman) Close ties to Johns Hopkins research ecosystem

#3Towson UniversityTowson, MD

Why it stands out. Towson's machine learning program excels at serving working professionals and part-time learners while maintaining strong regional employer connections and practical, hands-on learning emphasis.

Hakia insight. Towson deliberately targets working professionals and part-time learners in a field where most competitors assume full-time enrollment, meaning you can earn a specialized ML degree without pausing your career.

At the bachelor's level, towson's computer science program integrates machine learning as a key specialization within a curriculum emphasizing practical software engineering and real-world application. Students engage with machine learning fundamentals through courses in algorithms, data structures, and statistics, then advance into specialized electives covering supervised learning, unsupervised learning, and deep learning. The program's strength lies in its accessibility to working professionals and part-time learners—many students are employed in the Baltimore-Washington region while completing their degree. Towson faculty bring industry experience alongside academic expertise, creating a program culture that bridges classroom concepts with immediate career relevance. Internship placements are facilitated through relationships with regional tech companies, healthcare systems, and consulting firms, allowing students to apply machine learning techniques to real datasets early in their studies. The university's proximity to major employers in Maryland and proximity to Johns Hopkins and other research institutions creates networking opportunities often unavailable at programs further from urban tech hubs. While Towson's research labs are more modest compared to large research universities, the focus on student-centered learning and mentorship creates strong peer communities. For students balancing education with work or those seeking a more accessible, application-focused path to machine learning expertise, Towson offers competitive preparation with strong regional job market alignment.

Programs offered

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

Industry partners

Salisbury UniversityRegional Maryland tech companies

Accreditation & certifications

ABET

Location advantage: Proximity to Baltimore-Washington metro area employers Access to regional tech companies and corporate internship opportunities Located near Johns Hopkins and other research institutions

#4United States Naval AcademyAnnapolis, MD

Hakia insight. The Naval Academy's full-scholarship model eliminates the financial calculus entirely, allowing you to focus on one-on-one faculty research and direct contribution to national security challenges—a combination unavailable at any civilian institution.

At the bachelor's level, USNA's Computer Science program offers a nationally recognized curriculum with full scholarship funding, one-on-one faculty research opportunities, and direct contributions to Naval operations through capstone projects that have saved over $10 million in contracting fees. The program features specialized tracks, cutting-edge research integration, and guaranteed post-graduation employment as Naval officers.

Programs offered

  • Bachelor of Science in Machine Learning · 4 years · on-campus
  • Bachelor of Arts in Machine Learning · 4 years · online
#5Loyola University MarylandBaltimore, MD

Why it stands out. Distinctive for embedding ethical AI and responsible data science principles throughout the curriculum rather than as an afterthought, appealing to students who want ML skills grounded in humanistic inquiry.

Hakia insight. Loyola embeds ethical AI from day one rather than tacking it on as a capstone afterthought, producing graduates equipped to answer 'should we deploy this model?' as rigorously as 'can we build it?'—increasingly critical as companies face regulatory and reputational pressure.

At the bachelor's level, loyola's machine learning curriculum emphasizes ethical AI and responsible data science from the ground up, a philosophy that permeates both coursework and capstone projects. The program weaves together core ML fundamentals with a strong liberal arts ethos, requiring students to grapple with the societal implications of algorithmic decision-making—particularly relevant for those considering roles in finance, healthcare, or government sectors where bias and transparency matter. You'll encounter hands-on projects in natural language processing, computer vision, and predictive analytics, with faculty who actively publish in peer-reviewed venues. The Jesuit institution's proximity to Baltimore's growing tech corridor and partnerships with regional employers in financial services and healthcare create internship pipelines that often convert to full-time offers. Graduates report strong placement in roles spanning data science, machine learning engineer, and analytics positions, with many citing the program's emphasis on communication skills (a Loyola hallmark) as a competitive edge when interviewing at top firms.

Programs offered

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

Industry partners

Mercy Medical CenterBGE (Baltimore Gas and Electric)

Location advantage: Proximity to Baltimore tech corridor Access to healthcare and financial services employers in Mid-Atlantic region

#6Hood CollegeFrederick, MD

Why it stands out. Distinguished by making machine learning accessible and rigorous without sacrificing understanding, with particular strength in applications to biology, environmental, and social science domains.

Hakia insight. Hood College deliberately orients its ML curriculum toward biology, environmental science, and social science applications rather than finance or tech, creating rare opportunities for students who want technical depth but reject the Silicon Valley monoculture.

At the bachelor's level, hood College's approach to machine learning balances technical rigor with accessible pedagogy, making it particularly welcoming for students transitioning into ML from non-traditional backgrounds or returning to education mid-career. The program emphasizes foundational mathematics and algorithms before advancing to applied projects, ensuring students truly understand the "why" behind techniques rather than simply stacking libraries. You'll work with real datasets in courses covering supervised and unsupervised learning, deep neural networks, and reinforcement learning, with particular strength in applications to biology, environmental science, and social science research—areas where Hood's liberal arts mission naturally connects. The collaborative culture means close relationships with faculty mentors who genuinely know your goals and can guide independent study projects aligned with your interests. Nestled in Maryland's Frederick region between Baltimore and Washington D.C., Hood graduates find internships and early-career positions at both regional tech companies and larger employers in the D.C. metro area who value the program's emphasis on clear thinking and communication.

Programs offered

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

Location advantage: Located between Baltimore and Washington D.C. tech markets Proximity to federal and regional employers

#7Coppin State UniversityBaltimore, MD

Why it stands out. Distinctive for intentionally building ML talent pipelines within underrepresented communities, combining rigorous technical training with robust mentorship and career support.

Hakia insight. Coppin State's intentional focus on building ML talent pipelines within underrepresented communities includes explicit mentorship structures designed to persist past graduation—a model that statistically improves retention in tech careers where many underreps otherwise plateau.

At the bachelor's level, coppin's computer science program, including its machine learning curriculum, is deliberately designed to build a diverse pipeline into technical fields, with explicit mentorship and bridge support for first-generation students and those from underrepresented backgrounds in tech. The ML track within the CS degree emphasizes foundational computer science and mathematics, ensuring students develop genuine fluency rather than relying on shortcut frameworks. Coursework covers core algorithms, statistical learning, supervised and unsupervised methods, and applications in areas like image processing and pattern recognition. As a historically Black university in Baltimore, Coppin has deep community connections and partnerships with local employers and nonprofits seeking talented ML practitioners from diverse backgrounds. The program's strength lies in its supportive academic environment—smaller cohorts, accessible faculty, and peer collaboration—combined with intentional pathways to internships and employment. Graduates have moved into roles at tech companies, government agencies, and Baltimore-based organizations, with many citing the program's holistic approach to professional development alongside technical skill-building.

Programs offered

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

Industry partners

Baltimore City GovernmentUrban Tech nonprofits

Location advantage: Located in Baltimore with community and government connections Partnerships with local nonprofits and city agencies

#8Washington Adventist UniversityTakoma Park, MD

Why it stands out. Washington Adventist University offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia insight. Washington Adventist University provides accessible ML education in Takoma Park with direct proximity to DC federal agencies and tech corridors.

Washington Adventist University offers Machine Learning programs in Takoma Park, MD. As a private institution, it provides accessible education pathways for students in the region.

#9Washington CollegeChestertown, MD

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

Hakia insight. Washington College offers ML programs in Chestertown with accessible pathways for regional students entering the technology sector.

Washington College offers Machine Learning programs in Chestertown, MD. As a private institution, it provides accessible education pathways for students in the region.

#10Frostburg State UniversityFrostburg, MD

Why it stands out. A regionally-focused program where ML training is deliberately embedded in cross-disciplinary capstone projects, emphasizing applied problem-solving over algorithm breadth.

Hakia insight. Frostburg anchors ML training in cross-disciplinary capstones tied to Appalachian manufacturing and environmental data rather than generic algorithmic exercises, producing graduates who can justify ML investments to non-tech industries that are often overlooked by major programs.

At the bachelor's level, frostburg's approach to machine learning prioritizes cross-disciplinary collaboration, allowing students to anchor their ML training in domain-specific applications rather than treating algorithms as abstract tools. Computer science faculty work closely with colleagues in biology, chemistry, environmental science, and business to design projects where students deploy classification, clustering, and predictive models on real institutional and regional datasets. This structure appeals to students who want context for their learning—whether analyzing environmental sensor networks in Appalachia or optimizing supply chains for small manufacturers in the region. The core curriculum covers supervised and unsupervised learning, neural networks, and deep learning, but the distinguishing feature is the capstone requirement: students must complete a substantial ML project solving a problem outside the computer science department. This forces breadth and forces relevance. Frostburg's smaller cohorts mean closer faculty relationships and more personalized feedback on projects. The university's location in western Maryland, while rural, provides access to undergraduate research funding and partnerships with regional industries facing real optimization challenges. Graduates often move into roles at mid-market companies, healthcare systems, and manufacturing firms rather than concentrating at big tech—a shift many students find refreshing, offering better work-life balance and clearer impact on day-to-day operations.

Programs offered

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

Location advantage: Regional partnerships with mid-market manufacturing and healthcare organizations Access to environmental and agricultural data from Appalachian region

Best Master's Machine Learning programs

#1University of Maryland-Baltimore CountyBaltimore, MD

Why it stands out. Thesis vs. non-thesis track options. Machine learning specialization with courses in knowledge-intensive learning, preference learning, unsupervised perceptual learning, and privacy-preserving data mining

Hakia insight. UMBC's thesis-vs-non-thesis flexibility for working professionals combines with specialization depth (privacy-preserving data mining, unsupervised learning) and proximity to defense contractors, making it a rare path for professionals who want research rigor without leaving their jobs.

UMBC's M.S. in Computer Science offers both thesis and non-thesis tracks to accommodate working professionals. The thesis option requires 30 credits including 6 credits of thesis research (CMSC 799) with oral defense, while the non-thesis option requires 33 credits of coursework. Both tracks require completion of core courses including CMSC 641 Algorithms, plus electives in specialized areas such as machine learning, cybersecurity, databases, and natural language processing. The program must be completed within five years with a minimum 3.0 GPA. While specific salary data and assistantship details are not provided on this page, the program emphasizes research depth through thesis completion or breadth through coursework-only options, allowing mid-career professionals to advance technical expertise in high-demand AI/ML specializations.

Programs offered

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

Research labs & institutes

  • Center for Accelerated Real-Time Analytics (CARTA) — Real-time machine learning and high-performance computing
  • Cyber Defense Lab — Machine learning for cybersecurity and anomaly detection

Industry partners

Northrop GrummanLockheed MartinJohns Hopkins University Applied Physics Laboratory

Notable faculty

  • Haimonti Dutta (Machine learning for cybersecurity and anomaly detection)
  • Konstantinos Michmizos (Computational neuroscience and machine learning)

Accreditation & certifications

ABET accredited

Location advantage: Proximity to Baltimore-Washington tech corridor Access to defense and intelligence sector employers (NSA, APL, Northrop Grumman) Close ties to Johns Hopkins research ecosystem

#2University of Maryland-College ParkCollege Park, MD

Why it stands out. Non-thesis track only. 30 credits total (reduced credit requirement for working professionals)

Hakia insight. The M.P.S. at UMD College Park compresses a rigorous ML master's into 30 credits with no thesis requirement, then positions graduates 30 minutes from NIST and federal agencies—a formula that trades depth for speed and placement into government roles few other programs service.

The Master of Professional Studies (M.P.S.) in Machine Learning at University of Maryland is a 30-credit, non-thesis program designed for working professionals. The curriculum emphasizes core competencies in probability, statistics, data science, machine learning principles, optimization, and computing systems. Students complete 18 credits of required foundational courses and 12 credits of electives, allowing flexibility to tailor their specialization. The program does not offer a thesis track, focusing instead on coursework-based learning for efficient completion. While specific part-time scheduling, assistantship opportunities, embedded certifications, and employer partnerships are not detailed in this catalog entry, the streamlined credit requirement and professional focus suggest suitability for mid-career advancement. Graduates typically advance into senior data science and machine learning engineering roles with increased earning potential.

Programs offered

  • Machine Learning, Master of Professional Studies · 1-2 years · on-campus

Research labs & institutes

  • University of Maryland Institute for Advanced Computer Studies (UMIACS) — Collaborative research in AI, machine learning, data science
  • Perception and Robotics Group — Computer vision, robotics, autonomous systems
  • Natural Language Processing Group — NLP, machine translation, information extraction

Industry partners

MicrosoftGoogleAmazonNISTNSANaval Research Laboratory (NRL)

Career outcomes

$130,000,150,000 median salary

Notable faculty

  • Furong Huang (Machine learning theory, optimization, neural network training)
  • Dinesh Manocha (Computer vision, robotics, autonomous systems)
  • Jordan Boyd-Graber (Natural language processing, machine learning)

Accreditation & certifications

ABET accredited

Location advantage: Proximity to National Institute of Standards and Technology (NIST) for government partnerships 30 minutes from Washington, D.C. federal agencies and policy centers 45 minutes from Baltimore biomedical and healthcare tech corridor Integrated partnerships with NSA and Naval Research Laboratory

#3Towson UniversityTowson, MD

Why it stands out. Thesis-required capstone (no coursework-only track mentioned). Accelerated bachelor's-master's (4+1) pathway available for Towson undergraduates: up to 9 graduate units apply to both degrees, enabling completion in as little as 12 months with tuition savings

Hakia insight. Towson's 4+1 accelerated bachelor-to-master pathway lets undergraduates complete both degrees in 12 months with tuition savings and immediate entry into an Economic Analytics program—a structural advantage that eliminates the traditional gap year most ML professionals face.

The Economic Analytics M.S. is a 33-unit thesis-required program designed for working professionals seeking advanced skills in data science and econometrics. Students combine economic theory with machine learning and computational methods to assess causal policy impacts. The program can be completed in 16 months (or as little as 12 months through the accelerated 4+1 pathway for Towson undergraduates). Courses span foundations in economic theory, methods in econometrics and machine learning (using R, Stata, and Python), and applied impact evaluation. The thesis capstone requires independent research applying learned techniques. Graduates are positioned for mid-career advancement into data analyst, economist, or statistician roles in finance, banking, healthcare, government, consulting, and NGOs. The program also serves as preparation for Ph.D. study in economics or related fields. No information provided on part-time/evening scheduling, assistantships, embedded certifications, or salary outcomes.

Programs offered

  • Economic Analytics M.S. · 1-2 years · on-campus

Industry partners

Salisbury UniversityRegional Maryland tech companies

Accreditation & certifications

ABET

Location advantage: Proximity to Baltimore-Washington metro area employers Access to regional tech companies and corporate internship opportunities Located near Johns Hopkins and other research institutions

#4Johns Hopkins UniversityBaltimore, MD

Why it stands out. Two program tracks: course-only (36 credits, no thesis) or research track with year-long faculty-mentored capstone project. No GRE required; no application fee

Hakia insight. Johns Hopkins eliminates the GRE and application fee while offering a unique dual-track model (coursework-only or year-long capstone), then connects you to NIH biomedical datasets and JHU Hospital clinicians—positioning data science graduates for leadership in healthcare AI, where domain context is often the real bottleneck.

Johns Hopkins' Master of Science in Engineering (MSE) in Data Science prepares working professionals for leadership in data science and AI. The program offers two tracks: a course-only option (36 credits, ~3-4 semesters full-time) and a research track with a year-long capstone project with faculty mentors. No GRE required. Select exceptional students gain paid summer internship opportunities at Johns Hopkins Applied Physics Lab. The program emphasizes real-world applications across healthcare, finance, national security, and sustainable energy. Graduates work at Amazon, TikTok, Accenture, and Dana-Farber Cancer Institute. According to the Bureau of Labor Statistics, data scientists represent the fastest-growing professional sector with 42% job growth expected 2023–2033. Alumni benefit from Johns Hopkins' global network and deep industry connections. Tuition is $33,335 per semester.

Programs offered

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

Research labs & institutes

  • Computer Vision Lab — Medical imaging, 3D reconstruction, video analysis
  • Computational Sensorimotor Systems Lab — Robotics, sensorimotor learning, surgical automation
  • Statistical Machine Learning Group — Causal inference, probabilistic models, Bayesian methods

Industry partners

JHU Applied Physics LaboratoryLockheed MartinNorthrop GrummanNational Institutes of Health (NIH)

Career outcomes

Top employers: Amazon

Notable faculty

  • Rene Vidal (Computer vision, matrix completion, dynamical systems)
  • Alan Yuille (Computer vision, deep learning, computational models of vision)
  • Greg Hager (Surgical robotics, computer vision, human-robot interaction)

Accreditation & certifications

ABET accredited

Location advantage: Proximity to National Institutes of Health (NIH) for biomedical datasets and partnerships Access to Johns Hopkins Hospital and health system for clinical AI collaborations Baltimore region hub for defense contractors and aerospace (Lockheed Martin, Northrop Grumman, APL) Proximity to Washington, D.C. government agencies and policy centers

#5Hood CollegeFrederick, MD

Why it stands out. Distinguished by making machine learning accessible and rigorous without sacrificing understanding, with particular strength in applications to biology, environmental, and social science domains.

Hakia insight. Hood College's master's program brings the same accessible-yet-rigorous approach to graduate study, with particular strength in biology and environmental applications that larger programs marginalize.

At the master's level, hood College's approach to machine learning balances technical rigor with accessible pedagogy, making it particularly welcoming for students transitioning into ML from non-traditional backgrounds or returning to education mid-career. The program emphasizes foundational mathematics and algorithms before advancing to applied projects, ensuring students truly understand the "why" behind techniques rather than simply stacking libraries. You'll work with real datasets in courses covering supervised and unsupervised learning, deep neural networks, and reinforcement learning, with particular strength in applications to biology, environmental science, and social science research—areas where Hood's liberal arts mission naturally connects. The collaborative culture means close relationships with faculty mentors who genuinely know your goals and can guide independent study projects aligned with your interests. Nestled in Maryland's Frederick region between Baltimore and Washington D.C., Hood graduates find internships and early-career positions at both regional tech companies and larger employers in the D.C. metro area who value the program's emphasis on clear thinking and communication.

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 between Baltimore and Washington D.C. tech markets Proximity to federal and regional employers

#6Frostburg State UniversityFrostburg, MD

Why it stands out. A regionally-focused program where ML training is deliberately embedded in cross-disciplinary capstone projects, emphasizing applied problem-solving over algorithm breadth.

Hakia insight. Frostburg's deliberately constrained geographic footprint—anchoring ML projects to Appalachian manufacturing and agricultural data—forces students to develop domain expertise that larger programs treat as optional, creating graduates who can architect solutions rather than just tune hyperparameters.

At the master's level, frostburg's approach to machine learning prioritizes cross-disciplinary collaboration, allowing students to anchor their ML training in domain-specific applications rather than treating algorithms as abstract tools. Computer science faculty work closely with colleagues in biology, chemistry, environmental science, and business to design projects where students deploy classification, clustering, and predictive models on real institutional and regional datasets. This structure appeals to students who want context for their learning—whether analyzing environmental sensor networks in Appalachia or optimizing supply chains for small manufacturers in the region. The core curriculum covers supervised and unsupervised learning, neural networks, and deep learning, but the distinguishing feature is the capstone requirement: students must complete a substantial ML project solving a problem outside the computer science department. This forces breadth and forces relevance. Frostburg's smaller cohorts mean closer faculty relationships and more personalized feedback on projects. The university's location in western Maryland, while rural, provides access to undergraduate research funding and partnerships with regional industries facing real optimization challenges. Graduates often move into roles at mid-market companies, healthcare systems, and manufacturing firms rather than concentrating at big tech—a shift many students find refreshing, offering better work-life balance and clearer impact on day-to-day operations.

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: Regional partnerships with mid-market manufacturing and healthcare organizations Access to environmental and agricultural data from Appalachian region

#7Morgan State UniversityBaltimore, MD

Why it stands out. Morgan State emphasizes machine learning applications in healthcare, social impact, and government, with mentorship-rich training and ethical AI foundations.

Hakia insight. Morgan State's pipeline to Johns Hopkins APL and NSA isn't incidental; the mentorship structure explicitly builds ethical AI literacy alongside technical depth, meaning graduates enter federal roles already fluent in responsible ML governance rather than learning it on the job.

At the master's level, morgan State's machine learning initiatives align with the university's mission to serve underrepresented populations in STEM and build talent pipelines into tech careers. The program emphasizes foundational machine learning theory alongside applications in healthcare, environmental science, and social impact computing—areas where Morgan faculty have demonstrated research strength. Students benefit from relatively small cohort sizes and direct faculty mentorship, a contrast to larger research universities where graduate students can become anonymous. Morgan's location in Baltimore positions graduates near growing tech corridors and provides partnership opportunities with Johns Hopkins University, the National Security Agency, and regional technology companies. The curriculum integrates ethics and fairness in machine learning, reflecting institutional commitment to responsible AI development. Research opportunities often center on applied problems: predictive health analytics, climate data modeling, and computational social science. While Morgan's machine learning program is still developing its research infrastructure compared to R1 institutions, the university's investment in computing facilities and faculty recruitment in AI signifies institutional priority. Graduates frequently transition into roles at federal research centers, healthcare technology firms, and government agencies, where diversity and contextual problem-solving skills are increasingly valued. The supportive environment and emphasis on both rigor and equity create a distinctive path for students committed to machine learning careers with broader societal impact.

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

Johns Hopkins University Applied Physics LaboratoryNational Security Agency

Career outcomes

Top employers: Johns Hopkins APL, National Security Agency, Booz Allen Hamilton

Location advantage: Baltimore proximity to Johns Hopkins, APL, and NSA Connections to federal research and intelligence agencies

Best Doctoral Machine Learning programs

#1University of Maryland-College ParkCollege Park, MD

Why it stands out. A large research university with specialized MS/PhD tracks in ML, integrated with UMIACS and federal lab partnerships, offering strong placement outcomes and proximity to both government research and D.C./Baltimore tech hubs.

Hakia insight. UMD-College Park's UMIACS integration gives doctoral students real-time access to government research agendas through NIST partnerships, effectively letting you shape your dissertation around problems the federal government will fund and hire you to solve.

At the doctoral level, the University of Maryland's machine learning program stands out for its integration of theory and practice within a large, research-intensive ecosystem where students encounter diverse application domains from day one. The Department of Computer Science offers both a specialized MS in Machine Learning and a PhD program with multiple research tracks—computer vision, natural language processing, reinforcement learning, and systems—each backed by active, well-funded faculty labs. Students benefit from proximity to the University of Maryland Institute for Advanced Computer Studies (UMIACS), a collaborative research center where computer scientists, engineers, and domain experts converge on large-scale problems. The curriculum is modern and competitive: students cover foundational ML theory, deep learning architectures, and recent advances in areas like transformer models and causal reasoning, often through instructors who are actively publishing in top conferences. A distinctive feature is the breadth of partnerships with federal labs (NIST, NSA, NRL) and private industry (Microsoft, Google, Amazon), creating internship and placement pipelines that are notably strong. The location—just outside Washington, D.C., and a 45-minute drive from Baltimore's biomedical corridor—opens pathways to government research roles, defense contractors, and healthcare tech firms. Graduate outcomes are strong: median salaries are competitive with peer R1 institutions, and students frequently place at FAANG companies, research labs, and startups. For students seeking a program with strong fundamentals, research depth, and proximity to both federal and commercial opportunities, UMD offers a compelling middle ground between smaller state schools and elite private universities.

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

  • University of Maryland Institute for Advanced Computer Studies (UMIACS) — Collaborative research in AI, machine learning, data science
  • Perception and Robotics Group — Computer vision, robotics, autonomous systems
  • Natural Language Processing Group — NLP, machine translation, information extraction

Industry partners

MicrosoftGoogleAmazonNISTNSANaval Research Laboratory (NRL)

Career outcomes

$130,000,150,000 median salary

Notable faculty

  • Furong Huang (Machine learning theory, optimization, neural network training)
  • Dinesh Manocha (Computer vision, robotics, autonomous systems)
  • Jordan Boyd-Graber (Natural language processing, machine learning)

Accreditation & certifications

ABET accredited

Location advantage: Proximity to National Institute of Standards and Technology (NIST) for government partnerships 30 minutes from Washington, D.C. federal agencies and policy centers 45 minutes from Baltimore biomedical and healthcare tech corridor Integrated partnerships with NSA and Naval Research Laboratory

#2University of Maryland-Baltimore CountyBaltimore, MD

Why it stands out. UMBC's machine learning program uniquely combines hands-on industry capstones with deep pipeline access to defense and intelligence sector employers in the Baltimore-Washington corridor.

Hakia insight. UMBC's CARTA lab and direct pipeline to Northrop Grumman, Lockheed Martin, and APL means your capstone project isn't a simulation—it's often a real-world anomaly detection or cybersecurity problem that your employer is already paying for elsewhere.

At the doctoral level, UMBC's machine learning program stands out for its tight integration with industry-driven research and a curriculum built around real-world problem-solving. The computer science department emphasizes applied machine learning through core coursework in statistical learning, neural networks, and data mining, complemented by electives in computer vision, natural language processing, and reinforcement learning. What sets this program apart is the emphasis on hands-on capstone projects where students tackle problems from partner organizations in healthcare, finance, and cybersecurity—giving graduates portfolio pieces that directly demonstrate industry readiness. UMBC maintains particularly strong connections to the Baltimore-Washington corridor's defense and intelligence agencies, creating internship pipelines that many peer programs lack. Faculty research spans machine learning for cybersecurity, bioinformatics applications, and human-computer interaction, with opportunities for undergraduates to contribute to peer-reviewed publications. The program also benefits from UMBC's strong track record in diversity and inclusion within STEM, fostering collaborative learning environments. Graduate students in the MS program can specialize in machine learning while maintaining flexibility to cross into robotics or data science tracks, and the option to pursue a thesis or non-thesis path accommodates both research-focused and career-oriented students. For those seeking proximity to government R&D labs and Fortune 500 tech operations, UMBC's location and established recruitment relationships provide distinct advantages.

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 Accelerated Real-Time Analytics (CARTA) — Real-time machine learning and high-performance computing
  • Cyber Defense Lab — Machine learning for cybersecurity and anomaly detection

Industry partners

Northrop GrummanLockheed MartinJohns Hopkins University Applied Physics Laboratory

Notable faculty

  • Haimonti Dutta (Machine learning for cybersecurity and anomaly detection)
  • Konstantinos Michmizos (Computational neuroscience and machine learning)

Accreditation & certifications

ABET accredited

Location advantage: Proximity to Baltimore-Washington tech corridor Access to defense and intelligence sector employers (NSA, APL, Northrop Grumman) Close ties to Johns Hopkins research ecosystem

#3Capitol Technology UniversityLaurel, MD

Why it stands out. Unique for situating machine learning within applied cybersecurity and systems engineering, positioning graduates for specialized roles in secure ML systems and threat detection.

Hakia insight. Capitol Technology's unusual strength lies in embedding ML within applied cybersecurity rather than treating security as an afterthought; graduates emerge as specialists in adversarial robustness and threat detection, a rare profile that defense contractors actively recruit for.

At the doctoral level, capitol's machine learning offerings are tightly integrated with its applied cybersecurity and systems engineering heritage, making it an excellent fit for students targeting roles where ML intersects with security, threat detection, and secure systems design. Rather than treating ML as a standalone discipline, the curriculum positions it within the broader ecosystem of secure software development and adversarial robustness—a focus that increasingly matters as organizations defend against AI-powered attacks. The program combines theoretical foundations with intensive lab work where you'll implement algorithms, experiment with real datasets, and participate in capture-the-flag competitions and security challenges. Located in Maryland's tech corridor near Washington D.C., Capitol leverages proximity to defense contractors, federal agencies, and intelligence community employers who actively recruit graduates for roles blending data science with security clearance-eligible positions. The smaller cohort size means closer faculty mentorship and direct access to professors conducting applied research in AI security and anomaly detection.

Programs offered

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

Industry partners

U.S. Department of DefenseBooz Allen Hamilton

Career outcomes

Top employers: Booz Allen Hamilton, CACI International, Raytheon Technologies

Location advantage: Proximity to Washington D.C. defense and intelligence sectors Access to federal contractor employer network

#4Morgan State UniversityBaltimore, MD

Why it stands out. Morgan State emphasizes machine learning applications in healthcare, social impact, and government, with mentorship-rich training and ethical AI foundations.

Hakia insight. Morgan State's doctoral program channels underrepresented talent into leadership roles at APL and NSA where mentorship-rich training has already normalized ethical AI frameworks, creating a cohort effect that shifts institutional culture rather than individual compliance.

At the doctoral level, morgan State's machine learning initiatives align with the university's mission to serve underrepresented populations in STEM and build talent pipelines into tech careers. The program emphasizes foundational machine learning theory alongside applications in healthcare, environmental science, and social impact computing—areas where Morgan faculty have demonstrated research strength. Students benefit from relatively small cohort sizes and direct faculty mentorship, a contrast to larger research universities where graduate students can become anonymous. Morgan's location in Baltimore positions graduates near growing tech corridors and provides partnership opportunities with Johns Hopkins University, the National Security Agency, and regional technology companies. The curriculum integrates ethics and fairness in machine learning, reflecting institutional commitment to responsible AI development. Research opportunities often center on applied problems: predictive health analytics, climate data modeling, and computational social science. While Morgan's machine learning program is still developing its research infrastructure compared to R1 institutions, the university's investment in computing facilities and faculty recruitment in AI signifies institutional priority. Graduates frequently transition into roles at federal research centers, healthcare technology firms, and government agencies, where diversity and contextual problem-solving skills are increasingly valued. The supportive environment and emphasis on both rigor and equity create a distinctive path for students committed to machine learning careers with broader societal impact.

Programs offered

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

Industry partners

Johns Hopkins University Applied Physics LaboratoryNational Security Agency

Career outcomes

Top employers: Johns Hopkins APL, National Security Agency, Booz Allen Hamilton

Location advantage: Baltimore proximity to Johns Hopkins, APL, and NSA Connections to federal research and intelligence agencies