Master’s (MS) in Machine Learning and Artificial Intelligence

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) is designed for students who hold a four-year bachelor's degree or master’s degree from a regionally accredited institution in computer science, software engineering, or related STEM degree. The program provides a strong foundation with emphasis on mathematical foundations, algorithms, tools, and applications as they pertain to artificial intelligence and machine learning. It is an ideal program for professionals who are interested in building on their existing quantitative skills to become leaders in the field.

Fast Facts

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 Graduate Recruitment Specialist Amanda Tessler and/or Director of Recruitment Matt Lechtenberg 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.

Students who are accepted for fall 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 you to select three certificates of 5 courses each in order to 1.) gain a foundation in artificial intelligence and machine learning principles and practice and 2.) focus in-depth on specific skills and knowledge through certificates. Following the modular option enables you to earn at least two marketable credentials – skills set-based certificates – on your way to completing the master’s degree. 

There are a variety of possible certificate combinations. For example:

Certificate #1: You choose one of the following certificates (* indicates the certificate requires a technical background):

• Computer Science (Note: If you do not have a technical background, you must select this certificate. For your second certificate you must select Artificial Intelligence and Machine Learning.)
• Artificial Intelligence and Machine Learning*

Certificate #2: Only students with a technical background and who took Artificial Intelligence and Machine Learning as the first certificate may select from the following certificates:

• Applied Artificial Intelligence and Machine Learning for Data Science
• Applied Data Science*
• Computational Data Science*
• Big Data Analytics*
• Software Management*
• Human-Computer Interaction and User Experience
• Computing and Systems Security and Privacy*
• Software Architecture*
• Introduction to Data Science

Certificate #3 or Coursework: In addition to the first two certificates, you will work closely with an academic advisor to determine coursework or a third certificate to meet your educational goals and the requirements to complete the degree program.

A capstone project gives you the opportunity to gain practical, real-world industry experience within your area of interest and to use your new knowledge before graduation.

Students who are accepted for fall 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

• A completed application for the online format or on-campus format.
• A four-year bachelor's degree or Master’s degree from a regionally accredited institution in Computer Science, Software Engineering or related STEM degree plus work experience equal to Drexel CS Post-Baccalaureate certificate or an equivalent international institution. Please note: Those without a prior degree in Computer Science, Software Engineering or related STEM degree plus work experience may have to take additional prerequisites before pursuing advanced computer science courses.
• A GPA of 3.0 or higher, in a completed degree program, bachelor’s degree or above.
• Official final transcripts from ALL Colleges/Universities attended. Please note: For students who have attended an institution outside of the US, it is highly recommended to submit a NACES approved course-by-course transcript evaluation, i.e. WES, for expedited review of your application. This approved evaluation will take the place of the transcript requirement to complete your application. 
• Graduate Record Examination (GRE) Scores (must be five years old or less) are not required but recommended for international students and domestic students below a 3.0 GPA.
• One letter of recommendation required, two recommended (academic, professional, or both).
• Essay/Statement of Purpose.
• Current Resume.
• Pre-requisites for all graduate level programs: computer requirements and skills.
• Additional requirements for International Students.

Please visit our Graduate Admissions section for 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.