The capstone course provides you the opportunity to work in a team and collaborate with industry, government, or academic partners to investigate a real-world research topic using your data science skills. At the completion of the capstone, you'll be able to demonstrate your ability to think critically about data, communicate with diverse audiences, and advance innovation in ways that benefit society.
Capstone Proposal Tutorial and Capstone Sequencing
The semester prior to capstone enrollment (no earlier), you register for the on-campus precapstone: CSCI E-597 Data Science Precapstone. Ordinarily the on-campus precapstone tutorial is offered during the three-week January session and one, three-week summer session.
In the precapstone, you'll identify potential employer-driven, real-world capstone research topics, join a team, refine project proposals, and build necessary domain knowledge. By the end, your team submits a detailed research proposal, including project rationale, methods, and expected outcomes, which will be executed during capstone.
The semester right after the precapstone, you enroll in the online capstone, CSCI E-599a Data Science Capstone, as your final one-and-only course, either in the fall or the spring. Due to the heavy demands of the capstone, it is considered a full-time course. All other degree requirements must be fulfilled so you can draw upon your entire ALM training to produce a final project worthy of a Harvard degree.
You need to complete 12 courses (48 credits) to earn the degree.
- You'll register for the precapstone in the summer as your 11th course. Then in the fall, you'll register for the capstone as your 12th and final course.
- You'll register for the precapstone in the January term as your 11th course. Then in the spring, you'll register for the capstone as your 12th and final course.
Bruce Huang, PhD, Director of Master's Degree Program in Information Technology, Harvard Extension School