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.
Note that this degree has two concentrations available: computational and applied.
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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Curriculum Design
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Traditional Course-by Course or Modular Certificate.
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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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Yes – a bachelor’s degree in computer science or a STEM-related discipline is required for the computational concentration. Students without a technical background who wish to pursue the computational track will likely need to complete the Graduate Certificate in Computer Science Foundations before beginning this master’s 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 fundamental mathematics, developing related tools, and applying AI and ML to various real-world problems.
Coursework covers a broad, interdisciplinary range of topics, including data science, both 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 in gaming and in security.
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 full-time students must complete the degree in 3 years.)
Our master’s degrees are 45 credits (15 courses) which is equivalent to 30-33-credit degrees at other universities. The benefit of the quarter system is that students receive instruction in more topic areas than through the semester system and have more freedom to personalize their curriculum using electives.
This degree is available through a traditional curriculum or a modular certificate curriculum.
Traditional Curriculum
CCI's Master’s Degree in Artificial Intelligence and Machine Learning consists of:
- five required courses
- three required electives, one within each of the following focus areas: Data Science and Analytics, Foundations of Computation and Algorithms, or Applications of Artificial Intelligence and Machine Learning
- Seven free elective courses that may be selected from the above focus areas or Computer Science Department-approved courses. You will choose your electives to customize your degree based on your goals and interests.
- A capstone course where students work in teams to pursue an in-depth, multi-term capstone project applying computing and informatics knowledge in an artificial intelligence project.
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.
Please visit Drexel’s Course Catalog for a full description of each required course and elective for this program. You can also find a sample Plan of Study for the degree.
Modular Certificate Curriculum
This curriculum allows the student to select several certificates in order to 1.) gain a foundation in AIML principles and practice and 2.) focus in-depth on specific skills and knowledge through certificates, customized to your needs and professional goals.
Following the modular certificate option enables you to earn marketable credentials — skills set-based certificates — on your way to completing the master’s degree, and it lets you complete a certificate, step away from the program if you need to, and return to seamlessly pick up where you left off.
In the modular certificate option, you will select:
- Required core certificate(s)
- One or two Major Electives
- Optionally one Flexible Elective
In addition, you may need to take a small number of additional courses in order to complete the degree requirements.
There are a number of possible certificate combinations, and you will work with your adviser and the faculty to create the sequence that best fits your needs and background.
The following certificates can be used to create the MS in Artificial Intelligence and Machine Learning:
Applied Concentration
Core
Major Electives
Flexible Electives (optionally choose one)
Computational Concentration
Core
Major Electives
Flexible Electives (optionally choose one)
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 this 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.