Machine Learning & Data Science Degree

Drexel University's online Master of Science in Artificial Intelligence & Machine Learning is a 45-quarter credit program with concentrations in Data Science and Analytics, Theory of Computation and Algorithms, and Applications of AI/ML. It emphasizes practical skills using real datasets and tools, requires a bachelor's degree and 3.0 GPA for admission, and recommends GRE scores for some applicants. Tuition is $1438 per credit, with financial aid and flexible full- or part-time options available.

• 45-quarter credit program.
• Concentrations in Data Science, Algorithms, AI/ML.
• Online format for flexibility.
• $1438 per credit tuition.
• Financial aid available.
• Requires strong computer science background.
• Capstone project included.
• Full- or part-time options.
• 10-week quarter terms.
• Interdisciplinary curriculum.

The University of Southern California's MS in Electrical and Computer Engineering with a concentration in Machine Learning and Data Science is a campus-based program requiring 32 units of coursework. It emphasizes rigorous training in data science theory and applications, preparing students for high-demand roles by focusing on extracting insights from large datasets. The program is OPT STEM extension eligible, making it appealing to international students, and requires a bachelor's degree in engineering or related fields with prerequisites in calculus, differential equations, linear algebra, and programming. As a master's level program, it may require an entrance exam such as the GRE, though specifics should be confirmed with the university.

• 32 units of coursework.
• OPT STEM extension eligible.
• Campus-based program.
• Focus on Machine Learning and Data Science.
• Bachelor’s Degree required.
• Engineering or related fields preferred.
• Coursework in calculus, differential equations, linear algebra, and programming needed.
• Rigorous training in data science.
• Theoretical and practical learning blend.
• Prepares for high demand in data science fields.

USC's MS in Electrical Engineering with a Machine Learning and Data Science concentration offers an intensive on-campus curriculum that can be completed in 2-3 semesters. It provides deep theoretical and practical knowledge in data science and machine learning, tailored for career advancement in technology sectors. The program requires a strong academic background in engineering or related fields and may necessitate an entrance exam like the GRE for admission, though applicants should verify current requirements directly with the program.

• 2-3 semesters completion.
• On-campus program.
• Focus on machine learning.
• Data science concentration.
• Rigorous training in theory.

The University of Texas at Dallas offers a Master of Science in Computer Science with a concentration in Artificial Intelligence (AI), Machine Learning, and Data Science. This campus-based program equips students for tech leadership through a curriculum that integrates theoretical foundations with hands-on applications. Taught by expert faculty, it emphasizes research and interdisciplinary collaboration, leveraging strong industry ties in Richardson's tech hub. Admission requires a bachelor's degree with proficiency in programming, calculus, and linear algebra, and GRE scores are mandatory for most applicants. Flexible schedules accommodate working professionals, enhancing accessibility to this rigorous program.

• Concentration in AI, Machine Learning
• Campus-based program
• Flexible class schedules
• Strong industry connections
• Research opportunities available
• Requires GRE scores
• Bachelor's degree prerequisite
• Strong programming foundation needed
• Renowned faculty
• Multidisciplinary approach

Harvard University's Master's in Data Science with a Machine Learning concentration is a campus-based program requiring 12 courses over at least three semesters. It focuses on statistical modeling, machine learning, and big data analytics, demanding a background in calculus, linear algebra, and programming. The program includes options for thesis research and emphasizes practical skills like data visualization, ethical data management, and collaborative problem-solving. Financial aid, including loans, scholarships, and teaching fellowships, is available. An entrance exam is required for this master's level program.

• 12 courses required
• 3 semesters minimum
• Machine Learning concentration
• Campus-based program
• No formal prerequisites
• Background in calculus needed
• Programming fluency required
• Interdisciplinary field
• Financial aid available
• Teaching fellowships offered

Northwestern University's Master of Science in Machine Learning and Data Science is a 15-month, full-time campus program in Evanston, IL, emphasizing a blend of technical skills and ethical leadership. It includes a summer internship for hands-on experience with real-world projects, covering predictive, descriptive, and prescriptive analytics. Admission requires a strong technical background, and the program boasts a 100% job placement rate within three months of graduation. An entrance exam is not explicitly stated as required or waived, so applicants should verify current requirements. Scholarships have a priority deadline in December.

• 15-month full-time program.
• Includes summer internship.
• Covers all analytics areas.
• Located in Evanston, IL.
• 100% job placement rate.
• Scholarship priority deadline December.
• Strong technical background required.
• Hands-on real-world projects.
• Ethical leadership focus.
• Diverse industry partnerships.

The University of Rhode Island's online Master of Science in Data Science emphasizes concentrations in Machine Learning, Data Visualization and Analytics, and Artificial Intelligence. This program requires no GRE, making it accessible, and focuses on practical skills in R and Python, with prerequisites in calculus, linear algebra, and statistics. At $887 per credit, it prepares graduates for high-demand roles through interdisciplinary projects and real-world problem-solving, enhancing strategic decision-making in various industries.

• Online program flexibility
• Focus on Machine Learning
• Data Visualization and Analytics
• Artificial Intelligence concentration
• $887 per credit tuition
• No GRE required
• R and Python programming needed
• Calculus prerequisite
• Linear algebra prerequisite
• Introductory statistics prerequisite

Saint Louis University's M.S. in Artificial Intelligence focuses on concentrations in Autonomous Systems, Bioinformatics, and Data Science, blending theory with practical applications. The program emphasizes ethical AI development and requires a STEM bachelor's degree with strong computational skills. Located in St. Louis, it offers proximity to tech communities and Fortune 500 companies for enhanced opportunities. Admission does not require an entrance exam, and the total cost is approximately $42,000, with financial aid available. A research thesis or capstone project is required for completion, preparing graduates for advanced roles in AI.

• Campus-based program.
• Specializations in key AI areas.
• Ethical AI development focus.
• Proximity to tech and Fortune 500 companies.
• STEM bachelor's required for admission.
• $42,000 total program cost.
• Financial aid options available.
• Research thesis or capstone project.
• Strong computational skills prerequisite.
• Emphasis on practical AI applications.

Montana State University's Master of Science in Data Science specializes in Machine Learning, Artificial Intelligence, and Data Mining, offering a 30-credit interdisciplinary curriculum that integrates advanced algorithms, statistical methods, and computational techniques. This campus-based program requires prerequisite coursework in calculus, linear algebra, data structures, and statistics, and emphasizes hands-on learning through collaborative projects and electives tailored to student interests. Admission does not require an entrance exam, focusing instead on a strong academic foundation for tackling real-world data challenges.

• Interdisciplinary curriculum.
• Focus on Machine Learning.
• 30 credits required.
• Campus-based program.
• Strong prerequisite foundation.
• Flexible specialization options.
• Includes foundational courses.
• Electives in AI.
• Data Mining focus.
• Real-world problem solving.

Case Western Reserve University's MS in Data Science offers a 30-credit program with concentrations in Artificial Intelligence, Machine Learning, and Data Science Applications. It features three tracks: Course-Focused for industry roles, Project-Focused for hands-on application, and Thesis-Focused for research. The program requires a TOEFL score of 90 for non-native English speakers and emphasizes computational foundations and analytics. No entrance exam like GRE is mentioned as required, but a comprehensive exam is part of the Course-Focused track. It is military-friendly and prepares students for diverse data science careers.

• Three tailored tracks available.
• 30 credit hours required.
• Course-Focused for industry.
• Project-Focused for application.
• Thesis-Focused for research.
• TOEFL score of 90 required.
• Basic computational knowledge needed.
• Comprehensive exam for Course-Focused.
• 24 coursework credits minimum.
• GPA of 3.00 required.

Hofstra University's MS in Data Science offers a comprehensive 30-semester-hour program focused on data engineering, machine learning, and analytics, with no GRE required for admission. It emphasizes a strong mathematical foundation and hands-on experience through the DeMatteis Co-op Program, enabling students to work with top corporate partners. Scholarships are available for qualified candidates, and the program features expert faculty, state-of-the-art facilities, and rolling admissions for flexibility. Prerequisites include programming and calculus, making it ideal for aspiring data scientists seeking practical skills and career advancement.

• No GRE required.
• 30 semester hours.
• Hands-on co-op program.
• Scholarships available.
• Expert faculty.
• State-of-the-art facilities.
• Rolling admissions.
• Focus on machine learning.
• Strong math foundation.
• Corporate partnerships.

Mercer University's online M.S. in Applied Data Intelligence and Machine Learning is a 36-credit-hour program with concentrations in Artificial Intelligence, Data Science, or a self-designed study, offering flexible 8-week courses starting in January and August. It emphasizes hands-on experience through real-world data projects, preparing graduates for high-demand roles in AI and data analysis. Admission requires a bachelor's degree, and no GRE is needed, making it accessible for working professionals. The curriculum integrates computational science and algorithms, ensuring practical, career-ready skills.

• Online format for flexibility.
• 36 credit hours required.
• Concentrations in AI, Data Science.
• 8-week course terms.
• No GRE admission requirement.
• Hands-on real-world data projects.
• Start terms in January, August.
• Prepares for high-demand careers.
• Flexible self-designed study option.
• Comprehensive core and elective courses.

Tulane University's Online Master of Science in Computer Science provides a flexible, fully online program ideal for working professionals. Specializing in Artificial Intelligence and Machine Learning, Data Science, or Computational Biology and Informatics, it offers a curriculum that merges theory with practical applications, taught by leading scholars. No GRE is required for applicants with a GPA of 3.0 or higher, making it accessible. This program prepares graduates for high-demand tech roles while allowing a balance between studies and other commitments.

• Online program flexibility
• No GRE required for 3.0 GPA
• Specializations in AI, Data Science
• Learn from leading scholars
• Practical, applied curriculum
• Prepares for high-demand tech roles
• Balance work and study
• Bachelor's degree required
• Fully online delivery
• Customizable coursework

The University of Utah offers a Professional Science Master's in Computational & Data Science with a Machine Learning concentration, tailored for students with strong quantitative skills. This 36-credit program integrates algorithm development, statistical inference, and practical interdisciplinary projects, including a professional experience component. Full-time students can finish in 2 years, with part-time options extending to 4 years. Prerequisites include calculus, linear algebra, and programming proficiency, and a GPA above 3.0 is required for admission. As a master's level program, it does not require an entrance exam, focusing instead on preparing graduates for advanced careers in data science and machine learning.

• Concentration in Machine Learning.
• Full-time completion in 2 years.
• Part-time options available.
• 36 credits required.
• GPA higher than 3.0 needed.
• Strong quantitative background prerequisite.
• Includes professional experience project.
• Blends theory with practical projects.
• Covers algorithm development.
• Focus on statistical inference.

UCLA's online Master of Science in Engineering with a Certificate of Specialization in Data Science Engineering is tailored for working professionals, focusing on ethical data use and responsible AI. The curriculum includes core courses and electives in tools like PyTorch and TensorFlow, enabling tailored study plans. Admission requires transcripts, a resume, letters of recommendation, and a personal statement, with a GRE waiver possible. The total cost is $39,600, and the program is flexible, part-time over two years, welcoming international students and offering a strong alumni network.

• Online and flexible.
• Part-time, two years.
• Cost: $39,600 total.
• GRE waiver possible.
• Tools: PyTorch, TensorFlow.
• Ethical AI focus.
• Tailored study plans.
• No. 1 online engineering.
• International students welcome.
• Diverse alumni network.

The University at Albany's MS in Data Science with a Machine Learning concentration is a STEM-designated program that prepares students for careers as data scientists and machine learning engineers. It emphasizes topological data analysis, machine learning, and statistics, using tools like Python, R, and TensorFlow. The curriculum includes core courses, electives, and a capstone project, with personalized tracks supported by advisors. Admission requires transcripts, a statement of goals, and a letter of recommendation. An entrance exam is not mentioned, so it may not be required. International students are eligible for OPT work authorization.

• STEM designated program
• Concentration in Machine Learning
• Hands-on experience with Python, R
• Capstone project required
• Advisor-supported personalized tracks
• International students eligible for OPT
• Comprehensive data science curriculum
• Focus on topological data analysis
• Practical applications in various industries
• Letter of recommendation needed

San Jose State University's Master of Science in Artificial Intelligence offers concentrations in Data Science and Autonomous Systems, blending theory with practical applications in predictive analysis and intelligent systems. Located in Silicon Valley, it emphasizes ethical AI, teamwork, and leadership, preparing graduates for roles in tech innovation. A relevant bachelor's degree is required for admission; no entrance exam is specified in the provided information.

• Concentrations in Data Science.
• Autonomous Systems focus.
• Campus-based program.
• Silicon Valley location.
• Ethical AI emphasis.
• Teamwork and leadership skills.
• Practical and theoretical balance.
• Relevant bachelor's degree required.
• Prepares for AI leadership roles.
• Cutting-edge technology focus.

The Master of Science in Computer Science at the University of California-Davis specializes in Artificial Intelligence and Machine Learning, Computer Vision, and Data Science, offering a campus-based education focused on cutting-edge research and practical applications. This program requires a bachelor's degree with a minimum 3.0 GPA and proficiency in computer science fundamentals for admission, but does not mandate an entrance exam such as the GRE. Students engage in core and elective courses to tailor their learning, preparing for leadership roles in technology through hands-on projects and research opportunities.

• Campus-based program.
• Concentrations in AI, ML, Computer Vision, Data Science.
• Requires bachelor's degree for admission.
• Minimum GPA of 3.0.
• Core and elective courses available.
• Prepares for tech leadership roles.
• Emphasizes practical skills and research.
• Admission requires proficiency in CS areas.
• Tailored education to career goals.
• Cutting-edge technology focus.

The University of Maine's online MS in Data Science and Engineering emphasizes machine learning and artificial intelligence concentrations, tailored for students with backgrounds in computer science, engineering, or math. It offers flexible thesis or coursework-only options, requiring at least one statistics course, and prepares graduates for real-world AI challenges without an entrance exam requirement.

• MS Data Science and Engineering
• Concentrations in machine learning
• Artificial intelligence focus
• Thesis and coursework options
• Requires statistics background
• Flexible for various student needs
• Prepares for real-world AI applications
• For computer science, engineering, math majors
• Advanced AI methods covered
• Includes data mining topics

Old Dominion University offers an online Master of Science in Data Science and Analytics with a concentration in Artificial Intelligence and Machine Learning, preparing students for high-demand roles in tech, finance, and healthcare. As an R1 research institution, it emphasizes practical skills through project-based learning, a capstone, and access to advanced tools. Admission requires a related bachelor's degree, transcripts, two letters of recommendation, a statement of goals, and TOEFL for international students. No GRE is mentioned as required. Virginia residents benefit from competitive tuition and financial aid options.

• Online and on-campus options.
• Concentration in AI and Machine Learning.
• Capstone project for real-world experience.
• Project-based learning across industries.
• Develop statistical and data management skills.
• Competitive tuition for Virginia residents.
• Financial aid and scholarships available.
• Requires related bachelor's degree for admission.
• TOEFL required for international students.
• Two letters of recommendation needed.

Eastern Kentucky University's Master of Science in Computer Science with a concentration in Artificial Intelligence in Data Science, Machine Learning, and Big Data is a 30-33 credit hour campus program. It requires GRE or GMAT scores for admission, unless applicants have a STEM degree with a 3.0 GPA, and focuses on AI, machine learning, big data analytics, and data visualization. The curriculum includes core and specialized courses, covering technical skills, business applications, and ethical considerations, preparing graduates for high-demand careers in data science and AI fields.

• 30-33 credit hours.
• Concentration in AI, Data Science.
• GRE/GMAT scores required.
• STEM degree option for admission.
• Focus on machine learning, big data.
• Includes data visualization course.
• Prepares for high-demand careers.
• Advanced technical and business skills.
• Legal, social, ethical issues covered.
• Campus-based program.

The Master of Science in Data Science and Artificial Intelligence at the University of Central Missouri is an HLC-accredited hybrid program that equips students for high-demand roles in AI and data analytics. It blends theoretical foundations with practical skills in machine learning, data visualization, and big data analytics, offering flexible online and in-person class options. With a 95% employment rate within six months, graduates secure positions at top companies like Boeing and IBM, supported by access to state-of-the-art labs, research opportunities, and competitive tuition. No specific entrance exam is mentioned, but as a master's level program, prospective students should verify requirements.

• HLC-accredited program.
• Flexible hybrid learning options.
• 95% employment rate post-graduation.
• Focus on machine learning, data visualization.
• Access to state-of-the-art labs.
• Opportunities for research and hackathons.
• Strategic location near tech companies.
• Competitive tuition rates.
• Graduate assistantships available.
• Strong industry connections.

Indiana University Indianapolis provides a Master of Science in Computational Data Science with a concentration in Machine Learning. This campus-based program emphasizes advanced data analysis, algorithm design, and predictive modeling through a blend of theoretical and practical coursework. It prepares graduates for roles in high-demand tech industries. Admission requires a bachelor's degree in a related field, and entrance exams such as the GRE may be required; check the latest requirements for specifics. Located in Indianapolis, IN, it offers hands-on learning experiences and is military-friendly.

• Concentration in Machine Learning.
• Campus-based program.
• Blends theory with practice.
• Prepares for tech industry roles.
• Requires related bachelor's degree.

The University of Montana's Master of Science in Data Science with a Machine Learning concentration is a campus-based program that requires a minimum GPA of 3.0 for admission. It focuses on advanced theoretical and practical aspects of machine learning, including numerical methods, data visualization, and big data analytics. Students must complete a comprehensive exam after the first year and engage in research projects with final presentations. This program prepares graduates for careers in technology and academia, emphasizing a collaborative learning environment. An entrance exam is not explicitly mentioned as required or waived.

• Campus-based program
• Minimum GPA 3.0 required
• Focus on Machine Learning
• Includes research project
• Comprehensive exam after first year
• Courses in data visualization
• Advanced theoretical big data analytics
• Numerical methods for computational science
• Graduate seminar participation
• Electives in mathematical sciences

San Francisco State University's Master of Science in Data Science and Artificial Intelligence, with a concentration in Algorithms, AI & Machine Learning, offers a 30-33 unit campus-based program. It provides rigorous hands-on training in computer science, statistics, machine learning, and AI, including big data platforms, data visualization, and supervised research. Admission requires a bachelor's degree in a quantitative field, a 3.0 GPA, GRE scores, and TOEFL/IELTS for non-native English speakers. The program prepares graduates for industry roles or doctoral studies with an emphasis on ethical practices and interdisciplinary applications.

• 30-33 units program
• Focus on Algorithms, AI & Machine Learning
• Big Data Platforms & Systems
• Probability, Statistics, and Statistical Learning
• Data Visualization and Visual Data Analytics
• Applications and Best Practices
• Supervised Research and Culminating Experience
• Optional Supervised Industrial Research
• Campus-based program
• Prepares for industry and doctoral programs

Wichita State University's Master of Science in Data Science equips students for thriving careers in machine learning and artificial intelligence through a campus-based curriculum. Located in Kansas, it emphasizes hands-on experience with access to advanced research facilities and collaborations with industry experts. Admission requires a bachelor's degree in a related field with a minimum 3.0 GPA, but no entrance exam is specified. The 30-credit program covers essential topics like data mining and business analytics, making it ideal for career advancement or doctoral studies preparation.

• Campus-based program.
• 30 credit hours required.
• Focus on AI, data mining.
• Minimum 3.0 GPA for admission.
• Bachelor's in related field needed.
• Access to top research facilities.
• Opportunities with industry professionals.
• Prepares for high-demand careers.
• Ideal for Ph.D. preparation.
• Located in Wichita, KS.