Bachelor's Machine Learning Programs in Georgia
Georgia State University — Atlanta, GA
Key Distinction: 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. BS
Career Outcomes
Top Employers: intel.
Location Advantages:
University of Georgia — Athens, GA
Key Distinction: 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. BS
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
Location Advantages:
Emory University — Atlanta, GA
Key Distinction: 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 and Institutes
- Emory Intelligent Information Access Lab (IRLab)
- Bromberg Lab
Industry Partners
Career Outcomes
Median Salary: $306,000.
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
Location Advantages:
Kennesaw State University — Kennesaw, GA
Key Distinction: 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. BS
Career Outcomes
Top Employers: Intel.
Admissions
GPA Requirement: 2.75.
Requirements: Core courses in programming, computer architecture, operating systems, networking, Information assurance and security coursework, Big data, machine learning, data mining, cloud computing, database systems, and software engineering courses, Mathematics components incorporated throughout major courses
Location Advantages:
Morehouse College — Atlanta, GA
Key Distinction: 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 and Institutes
- Center for Broadening Participation in Computing
Industry Partners
- Amazon Web Services (corporate)
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 Advantages: Located in Atlanta, a major tech hubPart of Atlanta University Center consortium
Mercer University — Macon, GA
Key Distinction: 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 and Institutes
- Machine Intelligence and Robotics Laboratory
Industry Partners
- NASA (government)
- Georgia Space Grant Consortium (government)
- Alabama Space Grant Consortium (government)
- Morehouse College (nonprofit)
Notable Faculty
- Dr. Anthony Choi — Electrical and computer engineering, machine learning, artificial intelligence, robotics
- Dr. Tri Le — Mathematics and computer science
Location Advantages: Access to NASA and aerospace industry partnershipsStrong regional collaboration network across SoutheastMultiple campus locations in Georgia (Macon, Atlanta, Savannah, Columbus)
Clark Atlanta University — Atlanta, GA
Key Distinction: 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 and Institutes
Industry Partners
- NASA (government)
- Georgia Tech AI4OPT (government)
- National Science Foundation (government)
Notable Faculty
- Charles B. Pierre — AI optimization and analytics
- Dr. Roy George — Autonomous systems and drone technology
Location Advantages: Atlanta technology hub proximityPartnership with Georgia Tech AI4OPT instituteAccess to NASA research opportunities
Berry College — Mount Berry, GA
Key Distinction: 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. Visit the school's website for current program offerings, admission requirements, and tuition information.
Georgia College & State University — Milledgeville, GA
Key Distinction: 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 and Institutes
- AI Lab
- SAP Next-Gen Lab
- E-Commerce Design Lab
Industry Partners
Accreditations and Certifications
- Certified Information Systems Auditor exam alignment
Location Advantages: Only graduate MIS program in middle GeorgiaCenter of Technology and Empowerment with industry partnerships
Georgia Southwestern State University — Americus, GA
Key Distinction: 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 Advantages: Located in Americus, GeorgiaCampus dining and recreational facilities availableResidence life options for on-campus students
Master's Machine Learning Programs in Georgia
Georgia Institute of Technology-Main Campus — Atlanta, GA
Key Distinction: 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. MS
Research Labs and Institutes
- Machine Learning at Georgia Tech
- Computer Vision Lab
- Natural Language Processing Lab
- Machine Learning and Perception Lab
- Computational Behavior Analysis Lab
- Entertainment & Intelligence Lab
- RAIL Lab
- STAR Lab
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
Location Advantages:
Georgia State University — Atlanta, GA
Key Distinction: 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. MSA
Career Outcomes
Median Salary: $NaN.
Location Advantages:
Emory University — Atlanta, GA
Key Distinction: 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. MS
Research Labs and Institutes
- Emory Intelligent Information Access Lab (IRLab)
- Bromberg Lab
Industry Partners
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
Location Advantages:
University of Georgia — Athens, GA
Key Distinction: 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. MS
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
Location Advantages:
Kennesaw State University — Kennesaw, GA
Key Distinction: 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. MS
Admissions
GPA Requirement: 2.75.
Requirements: 30 credit hours, Bachelor's degree with minimum 2.75 GPA, Official transcripts from all colleges/universities attended, Resume or professional vitae, Choice of thesis or capstone
Location Advantages:
Georgia Southwestern State University — Americus, GA
Key Distinction: 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 Advantages: Located in Americus, GeorgiaCampus dining and recreational facilities availableResidence life options for on-campus students
Georgia Southern University — Statesboro, GA
Key Distinction: 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
- Microsoft (corporate)
- General Motors (corporate)
- Gulfstream Aerospace (corporate)
- Samsung Electronics America (corporate)
- United States Air Force (government)
- U.S. Food and Drug Administration (government)
Career Outcomes
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 Requirement: 2.5.
Requirements: Bachelor of Science in Computer Science or related field, OR Bachelor of Science in non-computing field with at least two years of relevant professional experience in computing
Location Advantages: Access to Coastal Georgia's innovation and manufacturing sectorsProximity to Savannah's fourth-largest container port in the U.S.Connection to top aerospace and defense region
Clark Atlanta University — Atlanta, GA
Key Distinction: 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 and Institutes
Industry Partners
- NASA (government)
- Georgia Tech AI4OPT (government)
- National Science Foundation (government)
Notable Faculty
- Charles B. Pierre — AI optimization and analytics
- Dr. Roy George — Autonomous systems and drone technology
Location Advantages: Atlanta technology hub proximityPartnership with Georgia Tech AI4OPT instituteAccess to NASA research opportunities
University of West Georgia — Carrollton, GA
Key Distinction: 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 and Institutes
Notable Faculty
- Dr. Md Shirajum Munir — Artificial Intelligence and Machine Learning
- Dr. Mostafizur Rahman — Applied Computer Science
Accreditations and Certifications
- ABET Accredited
- SACSCOC Accredited
Location Advantages: Cutting-edge technology facilitiesSmall class sizes for personalized attentionVirtual computing labs available
Doctoral Machine Learning Programs in Georgia
Emory University — Atlanta, GA
Key Distinction: 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 and Institutes
- Emory Intelligent Information Access Lab (IRLab)
- Bromberg Lab
Industry Partners
Career Outcomes
Median Salary: $306,000.
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
Location Advantages:
University of Georgia — Athens, GA
Key Distinction: 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
Location Advantages:
Georgia State University — Atlanta, GA
Key Distinction: 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
Median Salary: $103,500. 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.
Location Advantages:
Georgia Institute of Technology-Main Campus — Atlanta, GA
Key Distinction: 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 and Institutes
- Machine Learning at Georgia Tech
- Computer Vision Lab
- Natural Language Processing Lab
- Machine Learning and Perception Lab
- Computational Behavior Analysis Lab
- Entertainment & Intelligence Lab
- RAIL Lab
- STAR Lab
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
Location Advantages:
