MEng in Data Science & Decision Analytics
Graduation Requirements
30 Credits
2025-2026 Academic Year
Data Science Courses (9 credits)
You will take a total of three courses from the list below with at least one course from each of the categories (eg six credits from category 1 and three credits from category 2).
Category 1 – ML/Data Science
- CS 5304 Data Science in the Wild (3 credits)
- ORIE 5355 Applied Data Science: Decision-Making Beyond Prediction (3 credits)
- CS 5785 Applied Machine Learning (3 credits)
- CS 5781 Machine Learning Engineering (3 credits)
- CS 5787 Deep Learning (3 credits)
- ORIE 5381 Optimization for AI (3 credits)
Category 2 – Modeling and Decision-Making
- ECE 5242 Intelligent Autonomous Systems (3 credits)
- ORIE 5751 Learning, Inference and Decision-Making (3 credits)
- ECE 5260 Data Science for Networked Systems (3 credits)
- ORIE 5380 Optimization Methods (3 credits)
- ORIE 5530 Modeling Under Uncertainty (3 credits)
Technical Courses (9 credits)
- 9 credits of Technical Electives (choose from any ECE, CS, ORIE, or INFO course offerings)
Please note: any data science core classes not taken to fulfill the core requirement can be taken to fulfill the technical course requirements. You should discuss your choices of technical courses with the program director.
Studio Courses (8 credits)
All Studio courses must be taken for a letter grade.
- TECH 5900 Product Studio – 4 credits
- TECH 5910 Startup Studio, TECH 5920 BigCo Studio or TECH 5930 PiTech Impact Studio – 3 credits
- TECH Studio Elective – 1 credit
Please note: TECHIE prefix classes do not qualify as Studio electives.
General Electives (4 credits)
- Select from any offerings on Cornell Tech’s campus (CS, ECE, ORIE, INFO, LAW, NBAY, TECH, TECHIE).
Please note: TECHIE 5310: Business Fundamentals (Fall only) must be taken as a prerequisite for all business courses.
With the context of unrestricted electives, students will complete course work that focuses on the social and ethical implications of technology-driven decision-making. There will be several options to complete this requirement (examples below).
- Cornell Tech offers already offers several courses, such as TECH 5010: Values at Play in Digital Technologies and INFO 5325: Ethical Thinking about Digital Technologies and Data, that are specifically focused on ethical and social issues raised by the use of technology.
- Cornell Tech offers courses that do not solely focus on ethical and social issues raised by the use of technology, but spend considerable amount of time discussing these issues.
Additional Requirements
- Cornell Tech campus policy indicates that students enrolled in full-time masters programs are required to maintain a minimum of 12 credits of enrollment each semester. Students are advised to enroll in an average of 15 credits each semester, unless your program requirements notes otherwise, to ensure progression towards degree completion.
- Students may not enroll in more than 18 credits per semester without Program Director approval, which will be granted only in exceptional circumstances.
- Students may only count a maximum of 2 credit hours graded as S/U towards the degree requirements. Classes that are only offered as S/U count towards this 2-credit limit. If students change a course that is more than 2 credits to “S/U”, then that entire course will not count as it is over the 2-credit limit.
- All students must receive a B or higher in TECH 5900 or TECH 5910/ TECH 5920/ TECH 5930.
- Only classes with a grade of C- or higher will count towards a student’s degree requirements.
- Students must maintain at least a 2.5 GPA. Students who are not in good standing may be asked to leave the program.
- Please note Curricular Practical Training credits (TECH 5999) does not count towards graduation/degree requirements.
