Secondary Field Requirements
To earn the Secondary Field in Data Science students must complete a Plan of Study with five courses meeting the requirements below and pass a short oral examination by a faculty committee.
Each student's plan of study for the Secondary Field will include:
- Core Courses
At least 3 of the Data Science core courses:
- AC 209a* Data Science 1: Introduction to Data Science
- AC 209b* Data Science 2: Advanced Topics in Data Science
- AM 207 Advanced Scientific Computing: Stochastic Methods for Data Analysis, Inference, and Optimization
- CS 207 Systems Development for Computational Science
- AC 221 Critical Thinking in Data Science
*Students can, with the permission of the program committee, count CS 109a/b in place of AC 209a/b.
Two electives in Computer Science or Statistics. Students may choose from a wide variety of elective courses offered by the Computer Science and Statistics faculties. A list of suggested electives can be found <here>
Alternatively, students may choose to satisfy the elective requirement by taking additional core courses. Students may also choose, as a substitute for one elective, either AC 297r, the IACS Capstone Project course, or AC298r, the Interdisciplinary seminar in Computational and Data Science.
Upon completion of required coursework, each candidate for the Data Science Secondary Field will be required to give an oral presentation on a data science research project - typically a small part of the student’s doctoral thesis work or a data-focused side project they have worked on in their lab. Students will be expected to display achievement of the Data Science program’s learning outcomes, including the ability to communicate their work in an interdisciplinary context.
The Institute for Applied Computational Science (IACS) will organize a Secondary Field presentation event once each semester.