Machine Learning & Data Science Degree

Drexel University's online Master of Science in Artificial Intelligence & Machine Learning is designed for current practitioners looking to deepen their expertise. The interdisciplinary curriculum covers three focus areas: data science and analytics, theory of computation and algorithms, and applications of AI and ML. You'll work with real datasets and state-of-the-art tools, building skills you can apply immediately. Courses include machine learning, deep learning, natural language processing, computer vision, and more. The program prepares you for roles like data scientist, deep learning engineer, and algorithm developer. Faculty bring active research experience in areas like game AI and security. With a flexible online format, you can choose full-time or part-time study, and finish in as little as two years. The quarter system offers 10-week terms with multiple start dates per year. A capstone project lets you tackle a real-world problem. While a strong CS background is expected, a certificate path is available for those without one.

• 3 concentration options
• No entrance exam required
• Test optional
• $1,400 per credit
• 2-Year program
• Complete in in as little as two years
• 46 total credit hours
• Apply by 2026-08-24
• Full-time and part-time options
• 4 start dates per year

The online Master of Science in Data Science at the University of Rhode Island offers a Machine Learning concentration that blends theory with hands-on practice. You'll study multivariate statistics, machine learning algorithms, data visualization, artificial intelligence, computational statistics, and big data management. Courses like Machine Learning for Data Science and Advanced Topics in Machine Learning build expertise in predictive modeling and automated decision-making. Graduates pursue careers as data scientists, machine learning engineers, or data analysts in tech, finance, healthcare, and beyond. The program requires 30 credits, has no GRE requirement, and features an interdisciplinary capstone project. With a flexible, fully online format, it's designed for working professionals seeking to advance in the data-driven economy. Prerequisites include introductory programming and math skills.

• 3 concentration options
• No entrance exam required
• Test optional
• 30 total credit hours
• Apply by 2026-08-04
• Starts fall
• 2 letters of recommendation (minimum)
• Prerequisite courses required
• No GRE required
• Machine learning focus

The Master of Science in Electrical and Computer Engineering with a concentration in Machine Learning and Data Science at USC provides rigorous training in data science, machine learning, and signal processing. The 32-unit curriculum blends theory and practical applications, preparing graduates for high-demand roles like machine learning engineer, data scientist, and software engineer. Students can pursue a thesis or directed research, gaining hands-on experience. Located in Los Angeles, the program offers strong industry connections, with top employers including Amazon, Google, and Meta. The average reported salary is $136,400. International students benefit from OPT STEM extension eligibility. GRE scores are not required for 2027 applications. Scholarship consideration is available for fall applicants. This on-campus program is ideal for those seeking a deep technical foundation in machine learning and data science.

• No entrance exam required
• Test optional
• 32 total credit hours
• Starts spring/fall
• $136,400 median earnings
• No thesis or capstone required
• Financial aid available
• Scholarships available
• Eligible for OPT STEM extension
• Average reported salary $136,400

The MS in Electrical Engineering with a concentration in Machine Learning and Data Science at USC Viterbi offers a rigorous, focused curriculum covering theory, methods, and applications of data science, machine learning, and signal processing. Students can complete the program in just 2-3 semesters on campus. Graduates are prepared for top roles like Software Engineer, Electrical Engineer, and Computer Vision Engineer at leading companies such as Apple, Google, and Amazon. This program stands out for its hands-on training and strong industry connections. Whether you're launching your career or advancing in tech, you'll gain the skills to solve real-world problems in AI and data science.

• Complete in Complete your masters in 2-3 semesters!
• Top job titles: Software Engineer, Electrical Engineer, Computer Vision Engineer
• Top employers: Apple, Intel, Google, Boeing, Amazon, Cisco, Qualcomm
• Available exclusively on campus
• Focused training in data science and machine learning

The Master of Science in Computer Science at UT Dallas offers a concentration in Artificial Intelligence, Machine Learning, and Data Science. The curriculum covers computing theory and technology, with courses in AI, machine learning, data science, and more. Students learn from renowned faculty and benefit from multidisciplinary research. Designed for both full-time students and professionals, the program offers daytime and evening classes. Graduates pursue careers in software engineering, data science, cybersecurity, and other high-demand fields. Located in Dallas, ranked #1 Best City for Jobs, students enjoy access to a strong alumni network and internships. Facilities include a large project design studio and makerspace. This program prepares students to become leaders in AI and tech.

• 9 concentration options
• Test optional
• Full-time and part-time options
• 3.0 GPA minimum
• Forbes #1 Best City for Jobs
• Daytime and evening classes
• Large project design studio
• Makerspace for creative pursuits
• Multidisciplinary faculty collaboration
• Strong alumni network

Northwestern University's Master of Science in Machine Learning and Data Science (MLDS) is a 15-month, full-time program on the Evanston campus. The curriculum covers predictive, descriptive, and prescriptive analytics, giving students a holistic understanding of data science. Students learn in a small cohort of 55-60, working closely with world-class faculty and industry partners through hands-on practicum and capstone projects. The program includes a summer internship and prepares graduates for leadership roles in data science and machine learning. Career outcomes are strong, with 100% of graduates receiving job offers within three months, at companies like Spotify, Deloitte, and Qualtrics. Unique features include a dedicated program staff, quarterly seminar series, annual data conference, and guest speakers from industry.

• 15-Month program
• Starts fall
• Cohort-based structure
• 100% job placement rate
• Capstone required
• Financial aid available
• Scholarships available
• Cohort of 55-60 students
• Cover predictive, descriptive, prescriptive analytics
• Full-time program staff with research facilitator

Tulane University's online Master of Science in Computer Science offers a cutting-edge curriculum with a concentration in Artificial Intelligence and Machine Learning. You'll dive into advanced topics like natural language processing, computational geometry, and data science, guided by internationally recognized researchers. The program emphasizes practical application—think analyzing GPS trajectories or identifying disease therapies using machine learning. With six focus areas including AI/ML, data science, and computational biology, you can tailor your studies to your career goals. The flexible online format lets you learn without relocating, and cohorts start in fall, spring, and summer. Graduates emerge ready for specialized roles in a rapidly growing field, from AI engineer to data scientist. Tulane's strong faculty expertise and hands-on approach make this program a standout for aspiring computer scientists.

• 6 concentration options
• Starts fall/spring/summer
• No relocation required
• Internationally recognized researchers
• Customize coursework and areas of emphasis
• Emphasizes advanced technology in practice
• Prepares for highly specialized work

Mercer University's online Master of Science in Applied Data Intelligence and Machine Learning equips you with in-demand skills in programming, data structures, algorithms, machine learning, data modeling, and computational statistics. The curriculum culminates in a capstone project, giving you hands-on experience solving real-world problems. You can specialize in artificial intelligence or data science—or design your own concentration with a faculty adviser. Courses are fully online, meeting once a week via Zoom in the evening, and structured in eight-week sessions so you can balance work and life. Graduates are prepared for roles like AI researcher, data scientist, machine learning specialist, and data architect across industries from cybersecurity to healthcare. With flexibility, personalized advising, and a focus on practical learning, this program is built for career changers and professionals seeking to advance in the fast-growing field of AI and machine learning.

• 2 concentration options
• Starts fall
• Synchronous online classes
• Capstone required
• Fully online, evening classes via Zoom
• Eight-week course sessions
• Hands-on labs and projects
• Capstone experience required
• Concentrations in AI and data science
• Custom concentration with faculty adviser

The MS in Data Science at Case Western Reserve University offers a flexible curriculum with three tracks: Course-Focused, Project-Focused, and Thesis-Focused. Students can specialize in machine learning through courses like Machine Learning, Data Mining, and Artificial Intelligence topics such as probabilistic graphical models and natural language processing. The 30-credit program covers computational foundations, analytics, data ethics, and applications in bioinformatics, business, and more. Graduates are prepared for roles in data science, machine learning engineering, and research. The program accommodates diverse backgrounds, with prerequisite coursework in programming and mathematics available.

• Entrance exam required
• Exams: GRE
• 30 total credit hours
• Prerequisite courses required
• Three tracks: Course, Project, Thesis
• GRE scores required for admission
• Machine Learning and AI courses available
• Prerequisites in programming and math
• Thesis option for research focus

Old Dominion University's M.S. in Data Science and Analytics with a concentration in Artificial Intelligence and Machine Learning prepares you to turn raw data into actionable insights. At this R1 research institution, you'll develop statistical models, master programming tools, and dive into machine learning techniques. The curriculum covers data visualization, probability models, and big data analytics, all through project-based learning. A capstone project lets you apply your skills to real-world challenges. Graduates pursue roles as data scientists, business intelligence analysts, or computer and information research scientists, with median salaries around $108,000. The program is offered both on campus in Norfolk, VA, and online, giving you flexibility. You can choose from five concentrations, including this AI and Machine Learning track. With two recommendation letters required and multiple start terms each year, it's designed for working professionals and career changers alike.

• 5 concentration options
• Starts fall/spring/summer
• $108,020 median earnings
• 2 letters of recommendation (minimum)
• Capstone required
• Financial aid available
• Scholarships available
• Capstone project for real-world practice
• Project-based learning focus
• Build statistical models expertise

The Master of Science in Data Science and Artificial Intelligence offers a concentration in Algorithms, AI & Machine Learning, covering artificial intelligence, data mining, pattern analysis, deep learning, and generative AI. The curriculum blends theory with hands-on training in software system building, preparing graduates for data science roles or doctoral studies. Core areas include machine learning algorithms, big data platforms, statistical learning, and data visualization. Students complete a culminating experience—an applied research project or master’s thesis—and may pursue optional industrial research. This 30-credit program equips students with computational and system-building skills for careers in tech and research.

• 5 concentration options
• Entrance exam required
• Exams: GRE, TOEFL, IELTS
• 30 total credit hours
• 3.0 GPA minimum
• 2 letters of recommendation (minimum)
• Thesis or capstone option
• Applied Research Project or Master's Thesis
• Hands-on training in software systems
• Prepares for PhD or industry leadership

Campbellsville University's online Master of Science in Data Science and Artificial Intelligence focuses on machine learning and AI. You'll study big data analytics, data mining, AI applications, and ethical issues. The 36-credit program takes as little as 12 months. Core courses include Introduction to AI and Machine Learning, Big Data Analytics, and a capstone. Graduates become data scientists, AI engineers, and analysts. The affordable tuition of $540 per credit and transfer credit acceptance make it accessible. You'll learn in small online classes with expert faculty and a personal advisor.

• $540 per credit
• 12-Month program
• Complete in can be completed in as little as one year
• 36 total credit hours
• 12 total courses
• 2.5 GPA minimum
• Capstone required
• $0 application fee
• Military benefits accepted
• Financial aid available

The Master of Computer Science (MCS) with a concentration in Data Science and Machine Learning at Rice University offers a rigorous, career-focused curriculum. Over three semesters and 30 credit hours, students dive into statistical machine learning, deep learning, and applied data science projects. A required 10-week to 6-month internship provides real-world industry experience. Graduates pursue roles as data scientists, machine learning engineers, and AI specialists in top tech firms. The non-thesis, terminal degree emphasizes practical skills and professional communication. Located in Houston's innovation hub, the program offers five specialization areas and core courses in theory, systems, and software. Part-time study and a fifth-year option for Rice undergrads add flexibility.

• 5 concentration options
• 3-Semester program
• 30 total credit hours
• Full-time and part-time options
• Starts fall/spring
• 2.7 GPA minimum
• No thesis or capstone required
• Requires a 10-week to 6-month internship
• Core courses in theory, systems, and software
• Fifth-year master's option for Rice undergrads

The Master of Computer Science (MCS) at Rice University is a professional, non-thesis degree designed for technical careers in computing. The Data Science and Machine Learning concentration builds expertise in statistical machine learning, deep learning, and data science. Courses include Statistical Machine Learning, Applied Machine Learning Projects, and Deep Learning for Vision and Language. Students gain practical experience through a required 10-week to 6-month internship. The program typically takes three semesters and requires 30 credit hours. Core requirements cover Theory, Systems, and Professional Skills. Located in Houston's tech hub, the program offers networking and career opportunities. Graduates pursue roles such as machine learning engineer, data scientist, and AI specialist.

• 5 concentration options
• 3-Semester program
• 30 total credit hours
• Full-time and part-time options
• 2.7 GPA minimum
• No thesis or capstone required
• Terminal professional degree for computer industry
• Requires 10-week to 6-month internship
• Fifth-year master's option for Rice undergrads
• Non-thesis master's degree

Texas A&M University-Kingsville's Master of Science in Computer Science offers concentrations in Artificial Intelligence and Deep Learning, Data Science, and Cybersecurity. The curriculum blends core courses in computer communication networks and analysis of algorithms with specialized electives such as neural computation, data mining, and cryptography. Students choose between a thesis or course-only path, allowing flexibility for research or professional goals. Graduates are prepared for high-demand roles like machine learning engineer, data scientist, and security analyst. The program also accommodates students from non-CS backgrounds with foundational coursework. With a 30-credit hour structure and emphasis on practical problem-solving, the program equips students to tackle real-world challenges in computing. Employment in computer science fields is projected to grow 11%, making this degree a strategic investment.

• Southern Association of Colleges and Schools accredited
• 3 concentration options
• Entrance exam required
• Exams: GRE
• 30 total credit hours
• Thesis or capstone option
• Foundation courses for non-CS majors
• Prepares for doctoral studies
• 11% employment growth projected
• Core courses in networking and algorithms

Fitchburg State University's Master of Science in Computer Science with a Data Science concentration prepares you for the high-demand field of data science. You'll develop practical skills in data analysis, visualization, machine learning, and data mining. The 33-credit program can be completed in as few as two years, with options to study online or on campus in evening classes. No GRE or MAT scores are required for admission. Graduates pursue careers as data scientists and analysts across industries like business, healthcare, finance, and government. The program is recognized among the Top 10 Promising Colleges for CS and IT programs. With a curriculum that emphasizes real-world application, you'll be ready to tackle big data challenges and stand out in the job market.

• No entrance exam required
• 2-Year program
• 33 total credit hours
• Curriculum includes data mining and machine learning
• No GRE or MAT exams required
• Available online and on-campus evenings
• Career opportunities in diverse fields

Bowie State University's Master of Science in Computer Science with a concentration in Artificial Intelligence/Machine Learning prepares you to build intelligent systems that solve real-world problems. The curriculum covers machine learning, robotics, natural language processing, and logical reasoning, providing a solid foundation in AI theory and application. You'll choose between an applied research track or a graduate thesis, allowing you to tailor your experience toward hands-on projects or deep theoretical exploration. Graduates are well-equipped for roles in technology, cybersecurity, data science, and research, with alumni employed at NASA's Goddard Space Flight Center and Fort Meade. The program offers graduate assistantships, fellowships, and strong industry connections. With 30 credits and specializations in AI, Cybersecurity, and Data Science, this program provides a flexible path to advance your career in computer science.

• 3 concentration options
• 30 total credit hours
• 2.5 GPA minimum
• Prerequisite courses required
• Thesis or capstone option
• $40 application fee
• Financial aid available
• Scholarships available
• Available online
• Five core courses required

The Health Data Science MS at UCSF integrates machine learning with data science and biostatistics, preparing students for roles in clinical research and biomedical innovation. This two-year campus program, taught by faculty in Epidemiology & Biostatistics, covers precision medicine, electronic health records, and analysis of complex datasets. Designed for quantitative science learners and biomedical scientists, the curriculum emphasizes applying machine learning methods to real-world health data. Graduates will be equipped to work in research institutions, hospitals, and the pharmaceutical industry, driving data-driven healthcare solutions. The program offers a strong foundation in data science methods and epidemiological thinking, making it distinct for those seeking to specialize in machine learning within health data science.

• 2-Year program
• Complete in two-year program
• Focus on biomedical applications
• Covers machine learning and biostatistics
• Prepares for clinical research careers
• Faculty from Epidemiology & Biostatistics
• Intended for quantitative science learners
• Also for biomedical scientists
• Addresses precision medicine and EHRs