The Collaborative Accelerated Master’s Program (CAMP) in Data Science between Holy Cross and WPI allows undergraduate students at Holy Cross, after graduating with their bachelor’s degree, to pursue a master’s degree in Data Science at WPI in an accelerated manner. Holy Cross students in majors relevant to Data Science (including but not limited to Computer Science, Mathematics, and Statistics) or who otherwise have the necessary coursework may be eligible for this program.
This accelerated master’s program is part of the Collaborative Accelerated Master’s Programs (CAMPs) Framework between Holy Cross and WPI. In addition to the rules and regulations stipulated in the CAMPs Framework between Holy Cross and WPI, the following sections provide additional information and rules specific to students who wish to obtain their M.S. degree in Data Science at WPI as part of this CAMPs Framework.
Holy Cross students interested in this Accelerated Master’s Program in Data Science at WPI are encouraged to consult with their undergraduate academic advisor and with the CAMP in Data Science Coordinators at Holy Cross and at WPI about course selection that would best prepare them for the master’s degree in Data Science at WPI.
Unless otherwise noted, Holy Cross undergraduate courses carry 2 WPI graduate credits. Please note that WPI undergraduate courses are subject to an internal credit conversion when being counted for a WPI graduate degree, with 3 WPI undergraduate credits being equivalent to 2 WPI graduate credits.
Holy Cross courses eligible toward the M.S. degree in Data Science at WPI:
Courses that count toward the M.S. degree's coursework Requirement or Electives in Mathematical Analytics:
- MATH 399-S01 Data Modeling with Python
- STAT 381 Statistical Learning
Courses that count toward the M.S. degree's coursework Requirement or Electives in Data Analytics and Mining:
- CSCI 307 Data Mining
- CSCI 399-F01 Machine Learning
Courses that count toward the M.S. degree's coursework Requirement or Electives in Business Intelligence and Case Studies:
- ECON 332 Financial Economics
Courses that count toward the M.S. degree's coursework Requirement or Electives in Computer Science:
- CSCI 307 Data Mining
- CSCI 324 Programming Languages: Design and Implementation
- CSCI 347 Artificial Intelligence
- CSCI 363 Computational Vision
- CSCI 399-F01 Machine Learning
Courses that count toward the M.S. degree's coursework Requirement or Electives in Mathematical Sciences:
- MATH 303 Mathematical Models
- STAT 375 Probability Theory
- STAT 376 Mathematical Statistics
- STAT 380 Statistical Computing
- STAT 381 Statistical Learning
Courses that may count toward the M.S. degree's coursework requirements or electives depending on their topic, if approved by the WPI CAMP in DS Coordinator:
- CSCI 400 Directed Reading
- CSCI 410 Directed Project
- CSCI 496 Data Science Honors Thesis
Program Administration
The names of the CAMP in Data Science Coordinators at WPI and at Holy Cross are listed below. They will work jointly with the CAMPs Framework Coordinators at Holy Cross and at WPI on the academic aspects of and on providing academic advice to students in this CAMP in Data Science.
CAMP in Data Science Coordinator at WPI:
Xiangnan Kong, Associate Professor of Computer Science
CAMP in Data Science Coordinator at Holy Cross:
- Eric Ruggieri, Professor, Mathematics & Computer Science Department Chair