MS Artificial Intelligence and Machine Learning

2 Years On Campus Masters Program

Drexel University

Program Overview

Drexel’s Master of Science in Artificial Intelligence and Machine Learning (MSAIML) is a 45-credit program that gives you a strong foundation in the mathematical foundations, algorithms, tools and applications of AI and machine learning. It suits students with a computer science, software engineering or related STEM background who want hands-on experience applying AI to real data sets, and you can study full-time or part-time, in Philadelphia or online, choosing an applied or computational track.

Curriculum Structure

Year 1: Core AI and machine learning skills. You’ll build your foundation with core courses chosen for your track, such as Introduction to Artificial Intelligence, Machine Learning, Deep Learning and Applications of Machine Learning. Alongside them you’ll take breadth courses from groups such as AI Foundations, Data Science and Analytics, and Human-Centered Computing. That helps you see how AI connects to data, algorithms and the people who use it. Full-time students on campus can also complete a co-op experience in their first year.

Year 2: Specializing and completing your capstone. You’ll choose electives that match your goals, from options like Explainable Artificial Intelligence, Natural Language Processing with Deep Learning, Introduction to Computer Vision and Data Mining. You then finish with a two-term capstone (CS 591 and CS 592, Artificial Intelligence and Machine Learning Capstone I and II), where you tackle a real-world or research problem using everything you’ve learned. Part-time students typically complete the program over two years, taking the capstone in the second year.

Focus Areas: Mathematical foundations of AI and machine learning, algorithms and tools, deep learning, natural language processing, computer vision, data science and analytics, explainable and human-centered AI, and applied machine learning for real data sets.

Learning Outcomes: Graduates gain competency in the fundamental methods and techniques of artificial intelligence and machine learning. They apply that understanding to real data sets and data analysis tasks using state-of-the-art technologies, tools and platforms. They also complete a capstone project that addresses a real-world or research problem.

Professional Alignment (Accreditation): The MS is awarded by Drexel University, which is regionally accredited by the Middle States Commission on Higher Education. The program is also built around professional experience: full-time, on-campus students are eligible for Drexel’s Graduate Co-op, which places you in paid, industry-based work experience. Students study in the College of Computing & Informatics’ home at 3675 Market in University City, with access to labs including the Intelligent Information & Knowledge Computing Research Lab and the Vision and Cognition Laboratory.

Reputation (Employability Rankings): U.S. News & World Report’s 2026 Best Colleges ranks Drexel 80th out of 434 universities, 41st among private universities, and No. 2 nationally for Co-ops/Internships. These are university-wide rankings, not rankings of the MSAIML itself, and the co-op ranking is the standout for career outcomes. Drexel’s co-op model connects students with employers for hands-on, paid experience before they graduate.

Experiential Learning (Research, Projects, Internships etc.)

At Drexel University, the MS in Artificial Intelligence and Machine Learning program is designed to provide students with hands-on experience that is essential for success in the rapidly evolving tech landscape. Students engage in practical learning through a combination of cutting-edge facilities, collaborative projects, and real-world applications. The program emphasizes experiential learning, allowing students to apply theoretical knowledge in practical settings, which is crucial for mastering AI and machine learning concepts.

Here are some key aspects of the experiential learning opportunities available in this program:

- State-of-the-Art Labs: Students have access to specialized labs equipped with advanced computing resources and AI tools, including the Drexel Smart House and the Data Science Lab, where they can work on innovative projects.

- Collaborative Projects: The curriculum includes group projects that encourage teamwork and problem-solving, allowing students to tackle real-world challenges in AI and machine learning.

- Internship Opportunities: Drexel's cooperative education program provides students with the chance to gain valuable industry experience through internships with leading tech companies, enhancing their resumes and professional networks.

- Research Opportunities: Students can participate in research initiatives at the College of Computing & Informatics, working alongside faculty on cutting-edge AI research that contributes to the field.

- Access to Software and Tools: The program offers access to industry-standard software and tools, including TensorFlow, PyTorch, and various data analytics platforms, ensuring students are well-prepared for the workforce.

- Field Trips and Industry Visits: Students may have opportunities to visit tech companies and research institutions, providing insights into the industry and networking opportunities with professionals.

- Libraries and Resources: The Drexel Libraries offer extensive resources, including databases and journals focused on AI and machine learning, supporting students' research and learning needs.

- Dedicated Institutes: The university hosts various institutes focused on technology and innovation, such as the Drexel Institute for Energy and the Environment, where students can explore interdisciplinary applications of AI.

Progression & Future Opportunities

Drexel University's MS in Artificial Intelligence and Machine Learning equips graduates with the skills and knowledge to excel in a rapidly evolving tech landscape. Alumni often find themselves in high-demand roles such as Machine Learning Engineer, Data Scientist, AI Research Scientist, and Business Intelligence Analyst. The program not only prepares you for immediate employment but also opens doors to innovative career paths in various industries.

Here’s how Drexel supports your journey to success:

- Career Services: The Steinbright Career Development Center offers personalized career counseling, resume workshops, and interview preparation to help you land your dream job.
- Employment Stats: Graduates from the program have a strong employment rate, with many securing positions within six months of graduation. The average starting salary for graduates in this field is around $100,000, reflecting the high demand for skilled professionals.
- University–Industry Partnerships: Drexel has established partnerships with leading tech companies such as Google, Amazon, and IBM, providing students with networking opportunities, internships, and collaborative projects that enhance real-world experience.
- Long-term Accreditation Value: The program is accredited by the Middle States Commission on Higher Education, ensuring that your degree holds value in the job market and meets high educational standards.
- Graduation Outcomes: Over 90% of graduates report satisfaction with their education and career placement, highlighting the program's effectiveness in preparing students for the workforce.

Further Academic Progression: After completing your MS in Artificial Intelligence and Machine Learning, you may choose to pursue a Ph.D. in a related field, such as Computer Science or Data Science. This advanced study can lead to opportunities in academia, research, or specialized industry roles, allowing you to contribute to cutting-edge developments in AI and machine learning. Additionally, you could explore certifications in specific technologies or methodologies to further enhance your expertise and career prospects.