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)
Students must complete the degree in 5 years.
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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
Drexel SCIS’s innovative master’s curriculum is built for maximum flexibility and responsiveness to the evolution and pervasiveness of AIML while offering you a solid, comprehensive foundation in this discipline. Please visit the Drexel Course Catalog for a full description of each course and elective for this program. Depending on your professional background and future goals, your Academic Advisor and faculty will guide you in course options and selection.
Please note: Drexel will transition to a semester calendar for all undergraduate and graduate programs beginning in August 2027. The course catalog linked above is the semester preview catalog, outlining the academic programs and pathways that will launch with semesters in Fall 2027.
Graduate Co-op and Career Outlook
Artificial Intelligence and Machine Learning, like all disciplines within the computer and information sciences, have a very healthy employment outlook. You can enhance your work experience with a Graduate Co-op option, reserved for full-time, on-campus students. Please visit the Steinbright Career Development Center to learn more about cooperative education and its benefits.
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 or by filling out this form and we’ll get back to you soon.