Who is the Master's in Artificial Intelligence and Machine Learning program for?
Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) provides a strong foundation in the artificial intelligence (AI) and machine learning fields with foci on mathematical foundations, algorithms, tools and applications as they pertain to artificial intelligence and machine learning. Students will pursue an applied or computational track and will gain competency in fundamental methods and techniques in artificial intelligence and machine learning. Their foundational understanding will be applied to real data sets and data analysis tasks with the help of state-of-the-art technologies, tools, and platforms. The Master of Science in Artificial Intelligence and Machine Learning program culminates with a two-term capstone experience where students work on a real world or research problem using the knowledge they have gained throughout the program.
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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Artificial Intelligence and Machine Learning Program Overview
This graduate program explores the discipline's mathematical foundations, algorithms, tools and applications as they pertain to artificial intelligence and machine learning.
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, and domain-specific applications. The program culminates in a collaborative, hands-on capstone project.
Courses are taught by CCI’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.
Computational vs. Applied Concentrations
The MS in Artificial Intelligence and Machine Learning program offers two concentrations: Applied and Computational.
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.
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.
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.
Request More Information
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.
MS in AI & Machine Learning Curriculum
IMPORTANT NOTE: 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.)
Our master’s degrees are 45 quarter credits (15 courses), which is equivalent to 30 semester credits (10 courses).
Drexel CCI’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. Students are able to choose individual courses and electives and also 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, are:
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.
Graduate Co-op
Full-time, on-campus students who are accepted for fall and winter term admissions can also choose a Graduate Co-op option. 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
Tuition
Please visit Drexel’s official Graduate Tuition & Fees webpage. Note that the master’s degree requires 45 quarter credits.
Scholarships
There are a variety of sources of financial aid and scholarships to help you fund your master’s degree — explore them here.
Get in Touch
Our Recruitment Specialists are here to walk you through the sometimes confusing world of financing your graduate education. Get in touch with us now by filling out this form.