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Home   >   Computer Science   >   Master's in Machine Learning

Machine Learning Master’s Degree Programs

Jennifer Sheriff – Last updated: May 19, 2025

WRITER

Jennifer considers herself a lifelong learner with a growth mindset and an innate curiosity.

On This Page
  • Why Get a Master's in ML?
  • 2024 Rankings
  • Program Overview
  • Online Master's in ML
  • Program Requirements
  • Degree Cost
  • Career Outlook
  • FAQs
  • School Listings
  • Resources

A master’s degree in machine learning provides the necessary training and background for students to launch a successful career in the exciting and growing field of machine learning.

This guide contains a comprehensive background on the latest machine learning master’s programs, online machine learning master’s programs, and what to expect from the curriculum.

Why Pursue a Master’s Degree in Machine Learning?

Machine learning is the study of computer algorithms that improve automatically using data and prior experiences.

Machine learning allows a program to build a model for decision-making based on training data. Using feedback from trial and error, these computer programs can develop the ability to make decisions for themselves without external input.

Machine learning has practical applications in many different fields. Computers are much better at processing large amounts of data and may identify patterns faster than people can.

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This is an invaluable skill in the healthcare, transportation, finance, agriculture, and cybersecurity industries, where making accurate predictions and data-driven decisions are vital to profitability.

Machine learning can also reduce operating costs in manufacturing, marketing, retail, transcription, and software development companies as more analysis becomes dependent on computer processing.

The growing demand for machine learning specialists and data scientists makes a master’s degree in machine learning a good investment. Many top firms are onboarding qualified professionals with machine learning skill sets as quickly as they can find them. Candidates who hold an advanced degree in the field can earn higher compensation and qualify for a greater number of roles.

Best Campus Master’s in Machine Learning Programs for 2025

  1. Carnegie Mellon University

    Pittsburgh, Pennsylvania
    Program: Master of Science in Machine Learning
    ARTiBA accreditation: Yes
    Delivery method: Campus
    Total tuition: $23,970
    2024/2025 Cost per credit: $799
    Credits: 30
    GRE requirement: Required
    Learn more: Program details
  2. Columbia University

    New York, New York
    Program: Computer Science Master's Degree - Machine Learning
    ARTiBA accreditation: No
    Delivery method: Online
    Total tuition: $73,860
    2024/2025 Cost per credit: $2,462
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  3. Duke University

    Durham, North Carolina
    Program: MS in Electrical and Computer Engineering (with concentration in Data Analytics and Machine Learning)
    ARTiBA accreditation: Yes
    Delivery method: Campus
    Total tuition: $130,230
    2024/2025 Cost per credit: $4,341
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  4. Northwestern University

    Evanston, Illinois
    Program: Master of Science in Machine Learning and Data Science
    ARTiBA accreditation: Yes
    Delivery method: Campus
    Total tuition: $133,830
    2024/2025 Cost per credit: $4,461
    Credits: 30
    GRE requirement: Optional
    Learn more: Program details
  5. University of Wisconsin-Madison

    Madison, Wisconsin
    Program: MS in Machine Learning & Signal Processing
    ARTiBA accreditation: No
    Delivery method: Campus
    Total tuition: $36,000
    2024/2025 Cost per credit: $1,200
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  6. Fairfax University of America

    Fairfax, Virginia
    Program: MS Artificial Intelligence and Machine Learning
    ARTiBA accreditation: No
    Delivery method: Campus
    Total tuition: $26,136
    2024/2025 Cost per credit: $726
    Credits: 36
    GRE requirement: Not required
    Learn more: Program details
  7. University of Maryland

    College Park, Maryland
    Program: Machine Learning Master of Professional Studies
    ARTiBA accreditation: Yes
    Delivery method: Campus
    Total tuition: $39,990
    2024/2025 Cost per credit: $1,333
    Credits: 30
    GRE requirement: Optional
    Learn more: Program details
  8. Stevens Institute of Technology

    Hoboken, New Jersey
    Program: Masters in Machine Learning
    ARTiBA accreditation: No
    Delivery method: Online & campus
    Total tuition: $88,980
    2024/2025 Cost per credit: $2,966
    Credits: 30
    GRE requirement: Required
    Learn more: Program details
  9. Mercer University

    Macon, Georgia
    Program: MS in Applied Data Intelligence and Machine Learning
    ARTiBA accreditation: No
    Delivery method: Online
    Total tuition: $21,930
    2024/2025 Cost per credit: $731
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  10. Drexel University

    Philadelphia, Pennsylvania
    Program: Master's in Artificial Intelligence and Machine Learning
    ARTiBA accreditation: No
    Delivery method: Online & campus
    Total tuition: $64,710
    2024/2025 Cost per credit: $1,438
    Credits: 45
    GRE requirement: Recommended for international students and for domestic students with a GPA below 3.0
    Learn more: Program details
  11. Milwaukee School of Engineering

    Milwaukee, Wisconsin
    Program: M.S. in Machine Learning
    ARTiBA accreditation: No
    Delivery method: Online
    Total tuition: $48,000
    2024/2025 Cost per credit: $1,500
    Credits: 32
    GRE requirement: Required if the GPA is lower than a 3.0
    Learn more: Program details
  12. University of Massachusetts Lowell

    Lowell, Massachusetts
    Program: Master of Science (MS) in Engineering - Computer Engineering (Artificial and Machine Intelligence concentration)
    ARTiBA accreditation: No
    Delivery method: Campus
    Total tuition: $31,440 in-state | $56,790 out-of-state
    2024/2025 Cost per credit: $1,048 in-state | $1,893 out-of-state
    Credits: 30
    GRE requirement: Required
    Learn more: Program details
  13. Colorado State University Global

    Denver, Colorado
    Program: Online Master's in Artificial Intelligence (AI) & Machine Learning
    ARTiBA accreditation: No
    Delivery method: Online
    Total tuition: $20,250
    2024/2025 Cost per credit: $675
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  14. University of Arizona

    Tucson, Arizona
    Program: MS in Information Science (MS) - Machine-Learning
    ARTiBA accreditation: No
    Delivery method: Online & campus
    Total tuition: $31,590 in-state | $56,670 out-of-state
    2024/2025 Cost per credit: $1,053 in-state | $1,889 out-of-state
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  15. University of North Texas

    Denton, Texas
    Program: MS in Artificial Intelligence with Machine Learning concentration
    ARTiBA accreditation: No
    Delivery method: Campus
    Total tuition: $52,272 in-state | $67,386 out-of-state
    2024/2025 Cost per credit: $1,584 in-state | $2,042 out-of-state
    Credits: 33
    GRE requirement: Not required
    Learn more: Program details

2024 Campus Rankings

  1. CARNEGIE MELLON UNIVERSITY
  2. NORTHWESTERN UNIVERSITY
  3. COLUMBIA UNIVERSITY
show more
  1. STEVENS INSTITUTE OF TECHNOLOGY
  2. MERCER UNIVERSITY
  3. DREXEL UNIVERSITY
  4. UNIVERSITY OF MARYLAND
  5. COLORADO STATE UNIVERSITY GLOBAL
  6. CLAREMONT GRADUATE UNIVERSITY
  7. UNIVERSITY OF NORTH TEXAS
  8. UNIVERSITY OF ARIZONA
show less

Best Online Master’s in Machine Learning Programs for 2025

  1. Columbia University

    New York, New York
    Program: Computer Science Master's Degree - Machine Learning
    Tuition: $81,575
    ARTiBA Accreditation: Yes
    Credits: 30
    2024/2025 Cost per credit: $2,584
    Delivery Method: Online
    GRE Required: Not required
    Learn more: Program details
  2. Mercer University

    Macon, Georgia
    Program: Master of Science in Applied Data Intelligence and Machine Learning
    Tuition: $30,540
    ARTiBA Accreditation: No
    Credits: 30
    2024/2025 Cost per credit: $1,018
    Delivery Method: Online
    GRE Required: Not required
    Learn more: Program details
  3. Drexel University

    Philadelphia, Pennsylvania
    Program: Master's in Artificial Intelligence and Machine Learning
    Tuition: $64,710
    ARTiBA Accreditation: No
    Credits: 45
    2024/2025 Cost per credit: $1,438
    Delivery Method: Campus & online
    GRE Required: Recommended for international students and for domestic students with a GPA below 3.0
    Learn more: Program details
  4. Stevens Institute of Technology

    Hoboken, New Jersey
    Program: Masters in Machine Learning
    Tuition: $91,980
    ARTiBA Accreditation: No
    Credits: 30
    2024/2025 Cost per credit: $3,066
    Delivery Method: Campus & online
    GRE Required: Required
    Learn more: Program details
  5. University of Arizona

    Tucson, Arizona
    Program: MS in Information Science Machine-Learning
    Tuition: $39,960
    ARTiBA Accreditation: No
    Credits: 30
    2024/2025 Cost per credit: $1,332
    Delivery Method: Campus & online
    GRE Required: Not required
    Learn more: Program details
  6. Colorado State University Global

    Aurora, Colorado
    Program: Online Master’s Degree in Artificial Intelligence and Machine Learning
    Tuition: $21,870
    ARTiBA Accreditation: No
    Credits: 36
    2024/2025 Cost per credit: $608
    Delivery Method: Online
    GRE Required: Not required
    Learn more: Program details

What Does a Master’s in Machine Learning Program Look Like?

A master’s degree program in machine learning provides a student with advanced skills in solving a specific task with high-level algorithms. Students who understand the theory and applications of machine learning will be able to apply their knowledge to a wide range of potential problems.

Students will learn to overcome major challenges in machine learning, such as poor quality of data, underfitting or overfitting of training data, lack of training data, slow implementation, and imperfections in the algorithm as data grows.

Like most master’s programs, a graduate degree in machine learning will take about two years for a full-time student to complete. Some of these courses may include:

  • Artificial intelligence
  • Computation learning
  • Algorithm design and analysis
  • Software engineering
  • Computer vision
  • Intelligent interaction
  • Fuzzy systems
  • Stochastic processes
  • Artificial neural networks
  • Applied optimization

Machine learning can also be offered as a concentration to a master’s degree in artificial learning. In this type of offering, the student is typically required to complete at least four core courses and three concentration courses within machine learning. Other concentrations include computer vision, intelligent interaction, and knowledge management or reasoning. 

Master’s degree programs typically provide a project option to allow students greater hands-on experience within their educational studies. The project option may require a fully developed report describing the results of an independent study project under the supervision of an advisor.

Project options typically require the completion of foundation courses, concentration courses, elective courses, and the master’s project itself.

Many forms of hands-on experience are available while students obtain their master’s degrees in machine learning. This may be in the form of an independent research project or capstone project, as previously outlined.

However, internships and co-ops can be incredibly effective in building a machine learning student’s portfolio.

These opportunities allow students to apply their theoretical knowledge to real-world applications, providing hands-on experience that is invaluable.

By working on actual projects, students can develop practical skills, gain insights into industry practices, and collaborate with professionals.

This not only enhances their understanding of machine learning concepts but also makes them more competitive in the job market.

Learn more about tech internships

Master’s in Machine Learning Online

Online master’s degrees in machine learning are essentially the same as their on-campus counterparts. Students need to meet the same admissions requirements and take the same courses to achieve their degrees.

The main difference between online and on-campus master’s degrees in machine learning is the delivery of the course content. Instead of sitting in the classroom, online students will take their courses over the Internet.

  • Geographic flexibility: With an on-campus master’s degree, it’s necessary to live at or near the school you’re attending.  With an online degree program, you can take classes from anywhere. This makes it possible to take classes at a higher-quality school or one in a more expensive area without the cost of moving and living there.

  • Lower costs: Online degree programs are often less expensive than in-person counterparts. This can reduce both tuition and the cost of living.

  • Flexible schedules: Many online master’s degree courses offer asynchronous courses with recorded lectures and may only require attendance at scheduled times for exams or office hours. This makes it easier to attend these programs while maintaining a job or handling family commitments.

Machine Learning Degree Requirements

A master’s degree in machine learning is highly technical and theoretical.  The program’s goal is to help students learn to apply existing knowledge and skills to machine-learning problems. 

Some skills that students are likely to have going into the program include:

  • Programming: Machine learning implements self-learning systems as computer programs. A master’s student in machine learning may be expected to know how to program in Python, R, LISP, Prolog, or JavaScript before pursuing the degree.

  • Probability and Statistics: Machine learning is based on applied probability and statistics. Students need to be proficient in these mathematical fields to learn to use this knowledge as part of their degree program.

In addition to certain knowledge, making it through the application process for a master’s in machine learning will likely require the following:

  • Bachelor’s degree: Most MS in machine learning programs require an undergraduate degree in Computer Science, Mathematics, or a related field.  This demonstrates that students have the fundamental theoretical knowledge necessary to succeed in the program.

  • GRE or GMAT: Many schools require applicants to take the Graduate Record Examinations (GRE) or Graduate Management Admission Test (GMAT) with a specific minimum score for a graduate degree program.

  • Transcripts: These are commonly required as part of the admissions process to prove that an applicant holds an undergraduate degree and has completed any necessary prerequisites.

  • References: Master’s programs commonly require references from instructors or other professionals familiar with the applicant’s knowledge and work.

Master’s Degree in Machine Learning Cost

Tuition for a master’s degree in machine learning can vary greatly depending on the school. Tuition is impacted by many different factors, including the quality of the school and degree program, whether the student is pursuing the degree online or in-person, and geographic location.

When pursuing a master’s in machine learning, a student doesn’t necessarily have to pay for the full tuition. Some options for financial assistance include:

  • Financial Aid: Many schools offer financial aid to qualified students.  This can offset some or all of the cost of a master’s degree program.

  • Scholarships and Fellowships: Students may also be eligible for scholarships and fellowships based on academic performance and demonstrable need, in addition to need-based financial aid.

  • Assistantships: Many schools offer graduate students the option to offset their tuition with a teaching assistantship.  A graduate assistant may help a professor teach their classes or participate in their research, which helps to pay for schooling and provides valuable experience.

  • Corporate Programs: Machine learning is a high-demand technical skill across many industries. This means that a student’s employer may be willing to cover some or all higher education costs to develop the knowledge and experience the business needs.
Learn more about scholarships

Master’s in Machine Learning Career Paths

With a master’s in machine learning, a student can pursue several different job roles in information science. Some common job titles include:

  • Artificial intelligence specialist
  • Machine learning engineer
  • Data science specialist
  • Machine learning researcher
  • Machine learning specialist

According to Payscale, a degree holder of a master’s in machine learning should expect to earn an average of $102K. Payscale adds that the average machine learning engineer’s salary is a base of $116,515/year. At the same time, the Bureau of Labor Statistics claims that the median pay for computer and information research scientists is $136,620. 

These salaries are significantly higher than the average salary of a BS in Computer Science (a common entry point into the degree), which is $92K.  The salary difference and the cost of a degree mean that an MS in machine learning can break even in less than two years.

In addition to a salary increase, holders of an MS in machine learning can look forward to entering a rapidly growing job market.  The BLS anticipates a 23 percent growth in Computer and Information Research Science, significantly faster than the average field.

Additionally, students with a solid grounding in machine learning can likely expect to be recruited quickly by the top tech companies that need machine learning talent.

Frequently Asked Questions

How competitive are master’s in machine learning programs?

Employers not only demand expertise in a domain; they also require proof of qualifications. Therefore, having a practical and theoretical knowledge of machine learning and neural networks makes a candidate very competitive. There is also high academic competition within each program. Some students may find the mathematics of machine learning theory more challenging than their full-time jobs, with backpropagation and partial derivatives typically required in a machine learning curriculum. Enrolled students may need to increase their concentration, focus, and attention levels to remain competitive in their machine learning coursework and complete the master’s program with high marks.

How much can I make with a master’s in machine learning?

A master’s degree in machine learning opens many career paths that would otherwise be unavailable. Another key consideration is earning potential. Someone who holds a master’s degree in machine learning (versus someone with a bachelor’s in computer science) can expect to earn an increased salary. It is important to calculate the return on any investment before allocating significant funds, and pursuing a master’s in machine learning can be profitable for the right candidates.

What kind of jobs do machine learning graduates get?

A master’s in machine learning program is designed to provide students with the theoretical knowledge and hands-on experience necessary to apply ML concepts effectively. With this degree, a student can pursue careers in machine learning or data science in industries like customer support, predictive maintenance, industrial automation, software forecasting, and medical diagnosis.

How common are online master’s programs in machine learning?

Online master’s programs in machine learning are very common. Southern New Hampshire University has over 60,000 online students, with most of their students registering online rather than in-person. Colorado State University’s Global Campus, Drexel University, and Sophia University also offer an online master’s program in ML.

What’s the best way to prepare for a master’s degree in machine learning?

The best way to prepare is to ensure that the fundamentals of mathematics, computer science, and programming are well understood. It helps to be proficient in one or more programming languages, including Python, R. Java, C++, Julia, and/or LISP. Kevin P. Murphy’s book, Machine Learning: A Probabilistic Perspective, is recommended for students who want to develop their understanding of machine learning fully. Finally, students who enroll in a master’s degree program in machine learning will be expected to write essays and reports. Machine learning students will need to state the goals of their research, specify the performance and learning tasks that they wish to achieve, describe the representation and organization of the system’s knowledge, explain the performance and learning components of the machine learning system, and evaluate the approach to machine learning by including evidence to support their claims. Machine learning authors will be expected to relate their selected approach to other methods and disclose the approach’s limitations, suggesting directions for future research. Covering each of these components when submitting machine learning reports will ensure high-quality papers and strong performance for a master’s program in machine learning.

Machine Learning Master’s School Listings

  1. Carnegie Mellon University

    Pittsburgh, Pennsylvania
    Program: Master of Science in Machine Learning
    ABET accreditation: Yes
    Delivery method: Campus
    Total tuition: $23,970
    2024/2025 Cost per credit: $799
    Credits: 30
    GRE requirement: Required
    Learn more: Program details
  2. Claremont Graduate University

    Claremont, California
    Program: MS in Statistics & Machine Learning
    ABET accreditation: No
    Delivery method: Campus
    Total tuition: $64,640
    2024/2025 Cost per credit: $2,020
    Credits: 32
    GRE requirement: Optional
    Learn more: Program details
  3. Colorado State University Global

    Denver, Colorado
    Program: Online Master's in Artificial Intelligence (AI) & Machine Learning
    ABET accreditation: No
    Delivery method: Online
    Total tuition: $20,250
    2024/2025 Cost per credit: $675
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  4. Columbia University

    New York, New York
    Program: Computer Science Master's Degree - Machine Learning
    ABET accreditation: No
    Delivery method: Online
    Total tuition: $73,860
    2024/2025 Cost per credit: $2,462
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  5. Drexel University

    Philadelphia, Pennsylvania
    Program: Master's in Artificial Intelligence and Machine Learning
    ABET accreditation: No
    Delivery method: Online & campus
    Total tuition: $64,710
    2024/2025 Cost per credit: $1,438
    Credits: 45
    GRE requirement: Recommended for international students and for domestic students with a GPA below 3.0
    Learn more: Program details
  6. Duke University

    Durham, North Carolina
    Program: MS in Electrical and Computer Engineering (with concentration in Data Analytics and Machine Learning)
    ABET accreditation: Yes
    Delivery method: Campus
    Total tuition: $130,230
    2024/2025 Cost per credit: $4,341
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  7. Fairfax University of America

    Fairfax, Virginia
    Program: MS Artificial Intelligence and Machine Learning
    ABET accreditation: No
    Delivery method: Campus
    Total tuition: $26,136
    2024/2025 Cost per credit: $726
    Credits: 36
    GRE requirement: Not required
    Learn more: Program details
  8. Mercer University

    Macon, Georgia
    Program: MS in Applied Data Intelligence and Machine Learning
    ABET accreditation: No
    Delivery method: Online
    Total tuition: $21,930
    2024/2025 Cost per credit: $731
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  9. Milwaukee School of Engineering

    Milwaukee, Wisconsin
    Program: M.S. in Machine Learning
    ABET accreditation: No
    Delivery method: Online
    Total tuition: $48,000
    2024/2025 Cost per credit: $1,500
    Credits: 32
    GRE requirement: Required if the GPA is lower than a 3.0
    Learn more: Program details
  10. Northwestern University

    Evanston, Illinois
    Program: Master of Science in Machine Learning and Data Science
    ABET accreditation: Yes
    Delivery method: Campus
    Total tuition: $133,830
    2024/2025 Cost per credit: $4,461
    Credits: 30
    GRE requirement: Optional
    Learn more: Program details
  11. Stevens Institute of Technology

    Hoboken, New Jersey
    Program: Masters in Machine Learning
    ABET accreditation: No
    Delivery method: Online & campus
    Total tuition: $88,980
    2024/2025 Cost per credit: $2,966
    Credits: 30
    GRE requirement: Required
    Learn more: Program details
  12. University of Arizona

    Tucson, Arizona
    Program: MS in Information Science (MS) - Machine-Learning
    ABET accreditation: No
    Delivery method: Online & campus
    Total tuition: $31,590 in-state | $56,670 out-of-state
    2024/2025 Cost per credit: $1,053 in-state | $1,889 out-of-state
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details
  13. University of Maryland

    College Park, Maryland
    Program: Machine Learning Master of Professional Studies
    ABET accreditation: Yes
    Delivery method: Campus
    Total tuition: $39,990
    2024/2025 Cost per credit: $1,333
    Credits: 30
    GRE requirement: Optional
    Learn more: Program details
  14. University of Massachusetts Lowell

    Lowell, Massachusetts
    Program: Master of Science (MS) in Engineering - Computer Engineering (Artificial and Machine Intelligence concentration)
    ABET accreditation: No
    Delivery method: Campus
    Total tuition: $31,440 in-state | $56,790 out-of-state
    2024/2025 Cost per credit: $1,048 in-state | $1,893 out-of-state
    Credits: 30
    GRE requirement: Required
    Learn more: Program details
  15. University of North Texas

    Denton, Texas
    Program: MS in Artificial Intelligence with Machine Learning concentration
    ABET accreditation: No
    Delivery method: Campus
    Total tuition: $52,272 in-state | $67,386 out-of-state
    2024/2025 Cost per credit: $1,584 in-state | $2,042 out-of-state
    Credits: 33
    GRE requirement: Not required
    Learn more: Program details
  16. University of Wisconsin–Madison

    Madison, Wisconsin
    Program: MS in Machine Learning & Signal Processing
    ABET accreditation: No
    Delivery method: Campus
    Total tuition: $36,000
    2024/2025 Cost per credit: $1,200
    Credits: 30
    GRE requirement: Not required
    Learn more: Program details

Related Resources

  • How to Become a Machine Learning Engineer
  • Find Machine Learning Bootcamps
  • Podcast interview with Syed Rehan
  • Online Master’s in Artificial Intelligence Master’s Degree Programs
  • AI Bootcamps: Find the Best Fit

Expert Advice

Find the latest interviews with subject matter experts and people working at the forefront of their field and get advice on Master’s of Machine Learning directly from some of the world’s leading authorities. Learn more about all the different pathways and opportunities available in tech today.

  1. How did you first get into machine learning (what kind of degree or work experience led you to the field)?
  2. What do you think are the most important qualities or qualifications needed to be successful as a machine learning expert?
  3. What are some of the reasons people become a machine learning expert?
  4. What should students expect  when choosing a machine learning internship?
  5. What are employers generally looking for when hiring entry-level machine learning expert?
  6. Do you find that people that train as a machine learning expert stay in the field, or are they finding other, relevant work opportunities?


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Jennifer Sheriff – Last updated: May 19, 2025

WRITER

Jennifer considers herself a lifelong learner with a growth mindset and an innate curiosity.

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