Advance or Pivot in Your Career
The Master of Science in Artificial Intelligence and Machine Learning (MSAIML) provides you with a strong foundation in the artificial intelligence and machine learning fields, with a focus on the mathematical foundations, algorithms, tools, and applications pertaining to artificial intelligence and machine learning. You will graduate as an expert in the fundamental methods and techniques of artificial intelligence and machine learning. You will apply a practiced understanding to real data sets and data analysis tasks with the help of state-of-the-art technologies, tools and platforms.
Fast Facts
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Hours
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Full-time (FT) or Part-time (PT)
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Time-to-Degree
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2-3 years (FT); 2-4 years (PT)
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Format
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On campus or online
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Term Starts
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Fall, Winter
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Hands-on experience?
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Hands-on, collaborative capstone project; Graduate co-op is available for on-campus, full-time students.
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Technical experience required?
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For the applied concentration, technical experience is helpful but not required; students with less experience can take bridge courses to bolster their knowledge. For the computational concentration, a bachelor’s degree in computer science or a STEM-related discipline is required. Please see below for a more comprehensive description of the two concentrations available for this degree.
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GRE required?
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Recommended for students with a GPA below 3.0 on the 4.0 U.S. GPA scale, or equivalent
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Meets F1 Visa STEM Requirements?
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Yes
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Program Overview
Coursework in the program covers a broad, interdisciplinary range of topics, including
- data science
- theoretical and applied artificial intelligence and machine learning
- mathematics and algorithms for artificial intelligence and machine learning
- domain-specific applications
Courses are taught by SCIS’s world-class faculty who have active research experience in machine learning, computer vision, game AI, data science, cognitive science, high-performance computing, software engineering and applied machine learning.
The MSAIML culminates with a capstone experience where you work on a real-world or research problem using the knowledge you have gained throughout the program. A graduate co-op is available; for more information, visit the Steinbright Career Development Center.
Concentrations
The MS in Artificial Intelligence and Machine Learning program offers two concentrations: Computational and Applied.
- The Computational concentration is designed for students with a technical background in computer science, software engineering, or a related STEM degree, who are interested in developing their own AI and machine learning algorithms and/or augmenting existing ones. The focus is on the mathematical foundations of state-of-the-art AI and machine learning algorithms. Students with a computer science background are admitted into the Computational concentration.
- The Applied concentration is designed for students who do not have a background in computer science, software engineering, or a related STEM degree. The concentration is for students who are interested in determining the proper AI and machine learning algorithm or framework for a particular problem, evaluating performance, and maintaining AI and machine learning codebases. Students without a computer science background are admitted into the Applied concentration.
- Without a background in computer science, you would be eligible to be admitted into the Applied concentration of the MS in AI&ML. This concentration will allow you to learn fundamental programming skills and also dive deep into using AI and Machine Learning for real-word challenges.
The admissions committee will make the final determination on your concentration.
Curriculum
IMPORTANT NOTE: Until the 2027-28 academic year, Drexel operates on the quarter, not semester, system, offering classes during four 10-week terms throughout the year. (You are not required to take classes every quarter, but students must complete the degree in 5 years.)
Drexel SCIS’s innovative master’s curriculum is built for maximum flexibility and responsiveness to the evolution and pervasiveness of AIML while offering a solid, comprehensive foundation in this discipline.
You can choose individual courses and electives and have the option of selecting up to three integrated skills-based, multi-course certificates while completing this degree. Depending on your professional background and future goals, your Academic Advisor and faculty will guide you in course and/or certificate options and selection.
The certificates that may be applied to the MS in Artificial & Machine Learning, depending on your background and concentration:
Note: Certificates can only be used in pursuit of a master’s degree; they are not a stand-alone credential. To take advantage of a certificate program, you must apply and be admitted to a specific master’s degree program. No official credential will be issued by the University for a completed certificate alone.
Please visit the Drexel Course Catalog for a full description of each course and elective for this program. You can read about a specific certificate by clicking on the links above or on our website here.
Admissions
Requirements
Please visit our Graduate Admissions section for admissions requirements and application deadlines.
Finances
Please visit Drexel’s official Graduate Tuition & Fees webpage for tuition information. There are a variety of sources of financial aid and scholarships to help you fund your master’s degree — explore more here.
Get in Touch
Be in touch with us to get answers to all your questions! We can connect you with a Recruitment Specialist, one of our Graduate Dean’s Ambassadors, or a faculty member to help. Contact our graduate recruitment team at cciinfo@drexel.edu and we’ll get back to you soon. Get in touch with us now by filling out this form.