Best 13 Masters in Machine Learning in 2025 - Best Value Schools : Job Details

Best 13 Masters in Machine Learning in 2025

January 13, 2025 | Admin

Having a master's in machine learning will give you an edge over other job candidates because you'll be a technical expert. Additionally, as computers and artificial intelligence continue to impact our everyday lives, computer science career opportunities are also increasing rapidly. Though we realize there's a difference between a Masters's in Machine Learning and a Master's in Computer Science, we have decided to spotlight some Master's in Computer Science degrees that have emphases or concentrations in machine learning to help you have as many options as possible.

Featured Programs

M.S. in Data Science

Southern Methodist University

Online

NO GRE NO GMAT NON-PROFIT FLEXIBLE SCHEDULES

DataScience@SMU prepares you to manage and analyze large amounts of data and drive strategic change in organizations. The master's program features two specialization options. Choose a specialization in business analytics or machine learning. Complete in 20 months.

Master of Science in Artificial Intelligence

100% Online

NO GMAT NO APPLICATION FEE NON-PROFIT SMALL CLASS SIZES

Earn your MS in Artificial Intelligence online from Maryville University in as few as two years. Prepare to develop and use AI and machine learning tools, and practice ethical stewardship of AI tech. Applicants must have acumulative GPA of 3.0.

MSAIT - Machine Learning Engineering Concentration

George Mason University

100% Online

NON-PROFIT FLEXIBLE SCHEDULES PUBLIC REGIONALLY ACCREDITED

The Machine Learning Engineering concentration examines data science techniques to address real-world challenges. With this track, you'll learn how to select, adapt, optimize, and design machine learning algorithms for various applications. The MS in Applied Information Technology offers three tracks, including concentrations in Cyber Security, Data Analytics: Intelligence Methods, and Machine Learning Engineering. The degree is ranked among the Top-25 online programs in the U.S. by U.S. News & World Report, 2018-2020.

Master of Professional Studies in Artificial Intelligence Management

Georgetown University

Online

NO GRE NO GMAT NON-PROFIT FLEXIBLE SCHEDULES

Advance your career with a program that combines the technical skills required for AI execution with applied leadership and management strategies. The online Master of Professional Studies in Artificial Intelligence Management from Georgetown University features focus areas in AI Strategy & Leadership and AI Development & Integration, plus an optional one-year accelerated track. You'll graduate ready to pursue roles like AI product manager, lead data scientist, and AI developer.

Artificial Intelligence Certification

Saint Marys University of Minnesota

Online

NON-PROFIT FLEXIBLE SCHEDULES PRIVATE REGIONALLY ACCREDITED

The online Artificial Intelligence graduate certificate from Saint Mary's University of Minnesota trains students to design and deploy AI solutions that improve business outcomes. You will study deep learning, data engineering, and the Internet of Things using a project-based approach. Graduates are qualified for roles like AI developer, data engineer, and data scientist. This certificate can be applied to the M.S. in Business Intelligence and Data Analytics program at Saint Mary's.

Master of Science in Artificial Intelligence

Concordia University, St. Paul

100% Online

NON-PROFIT FLEXIBLE SCHEDULES PRIVATE 5K - 15K STUDENTS

Prepare to advance as an innovative leader by earning your M.S. in Artificial Intelligence online from Concordia University, St. Paul. You'll gain relevant experience and skills during immersive courses that focus on machine learning, natural learning processing, neural networks, AI ethics, and other topics that align with industry needs. The program is designed for seasoned and entry-level professionals, and there is no application fee. Get started now to finish in as few as 1.5 years.

What Career Opportunities Exist for Masters in Machine Learning?

With this in mind, let's now dive into the best colleges that can help you to reach your dream job.

Best 13 Masters in Machine Learning

1

Columbia University

• New York City, New York
• Graduation Rate: 95%

Columbia University grants a Master's in Computer Science with a Machine Learning track which is intended for students who wish to develop their knowledge of machine learning techniques and applications. Many topics may be touched upon, depending on the classes students choose from, including causal inference, probabilistic modeling. Thee is a machine learning community at CU that spans multiple departments, schools, and institutes. This group participates in activities like seminars on statistical machine learning, student-led reading groups and social hours, and participation in local events such as the New York Academy of Sciences Machine Learning Symposium.

Cornell University graduate school's computer science degree (M.S.) is a 4-semester program. Though it's technically not a degree in machine learning, students can concentrate their courses in artificial intelligence which includes over ten different machine learning classes that students can choose from. These classes cover topics like dimensionality-reduction, clustering, kernels, deep networks, model debugging, tensor languages, dataset bias, language grounding, the ethics of machine learning, and so much more. This program requires research and a thesis, as well as two non-CS graduate courses to make up a “minor.” In addition, students will be required to TA for undergraduate-level CS classes in exchange for their paid tuition and a stipend for living expenses.

In 2019, MIT formed a new college, the Schwarzman College of Computing, to better tackle the gap being found between ever-changing technology and educational systems. MIT hopes to produce “creative computational thinkers and doers with the cultural, ethical, and historical consciousness to use technology for the common good — leaders who will offer the world new technological possibilities grounded in human values.” Their master's degree in computational science and engineering takes 12-24 months to complete and is heavily research-based. Of the six courses required for graduation, three are chosen by the student as electives. Two of those electives must be chosen from an approved list, which, yes, includes several courses in machine learning.

Carnegie Mellon University's Master's of Science in Machine Learning requires future students to have a strong computer science background. They must also understand the complex theory involved, be skilled in programming, and have a knack for mathematics. Under this master's program, students will concentrate on machine learning, artificial intelligence, NLP, computer vision, etc. It takes between one and three years to finish the degree program.

Georgia Institute of Technology offers a Master's of Science in Computer Science with a Machine Learning specialization. Future engineers will examine core courses, such as advanced learning, statistics, research, statistical machine learning, and more. They can complete the master's program in under two years, focusing on deep learning, data mining, artificial intelligence, etc.

School Overview

Tuition: $8,238 in-state; $17,070 out-of-state

University of Illinois at Urbana-Champaign

• Graduation Rate: 85%

7Stanford University

• Stanford, California
• Graduation Rate: 74%

8Drexel University Online

• Philadelphia, Pennsylvania
• Graduation Rate: 70%

9Wentworth Institute of Technology

• Graduation Rate: 65%

10University of Arizona

• Tucson, Arizona
• Graduation Rate: 60%

11Florida Institute of Technology

• Melbourne, Florida
• Graduation Rate: 60%

12University of North Carolina, Charlotte

• Charlotte, North Carolina
• Graduation Rate: 56%

13Oregon Health and Science University

• Graduation Rate: 52%

Ranking Method

The Master of Science in Machine Learning (or Computer Science with an emphasis) is a highly technical and complex subject as it involves many different yet connected parts. The programs on this list were combed with precision to ensure that we were ranking programs that could truly help students receive a deep, tailored machine learning education. Though all schools above are excellent options, for the sake of the article we ranked schools by graduation rate, which implies a high-quality curriculum and phenomenal faculty. If you think your graduate-level machine learning program belongs on this page, feel free to reach out and let us know!

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