Data Science in Engineering (M.S.)

Illinois Institute of Technology

Designed for engineers and scientists, the M.S. in Data Science in Engineering connects computational thinking with physical systems to solve complex industrial problems. You will choose from eight industry-aligned tracks (Architectural Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Electrical and Computer Engineering, Environmental Engineering, Mechanical, Materials, and Aerospace Engineering, Pharmaceutical Engineering) and leverage Chicago’s professional ecosystem to gain the skills necessary for high-impact careers in data engineering and machine learning. Our curriculum emphasizes principled problem-solving, ensuring that you are prepared for long-term adaptation in data-driven engineering environments.

The M.S. in Data Science in Engineering focuses on developing the computational thinking required to translate data into insight and ideate engineered solutions for real physical systems rather than abstract datasets. Held 100 percent in person on Illinois Tech’s Mies Campus-with select courses available online-this program offers a collaborative environment to master complex industrial problems. You can tailor the degree to your career goals by choosing from eight cross-disciplinary engineering tracks and selecting a pace that works for you, whether that means completing the program in approximately three semesters of full-time study or enrolling part-time.

To further support your professional transition, the program provides:

• Dual-entry terms in both the fall and spring semesters
• Industry-aligned tracks designed to meet regional workforce needs
• A flexible modality that prioritizes on-campus engagement while offering limited online coursework options