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) 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

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

• Applied Artificial Intelligence and Machine Learning

Major Electives

• Big Data Analytics
• Computer Science Foundations
• Data Science Foundations
• Human-Computer Interaction and User Experience Theory and Frontiers
• Machine Learning for Data Science

Flexible Electives (optionally choose one)

• Healthcare Informatics
• Human-Computer Interaction and User Experience Research and Design
• Information Systems
• Web Application Development

Computational Concentration

Core

• Computational Artificial Intelligence and Machine Learning

Major Electives

• Applied Artificial Intelligence and Machine Learning
• Big Data Analytics
• Computer Science Theory & Practice
• Data Science Foundations
• Machine Learning for Data Science

Flexible Electives (optionally choose one)

• Computer Science Foundations
• Computer Security & Privacy
• Healthcare Informatics
• Human-Computer Interaction and User Experience Research and Design
• Human-Computer Interaction and User Experience Theory and Frontiers
• Information Systems
• Software Architecture
• Software Management
• Web Application Development

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

• 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.