DS 501 * Introduction to Data Science
DS 502/MA 543 * Statistical Methods for Data Scientists
MA 542 Regression Analysis
MA 554 Applied Multivariate Analysis
CS 542 * Database Management Systems
MIS 571 * Database Applications Development
CS 561 Advanced Topics in Database systems
DS 503/CS 585 Big Data Management
CS 548 * Knowledge Discovery and Data Mining
DS 504/CS 586 Big Data Analytics
MIS 584 * Business Intelligence
MKT 568 Data Mining Business Applications
COURSE NUMBER
COURSE TITLE CREDITS GRADE OTHER
Once signed by your Faculty Advisor and yourself, please bring to the Data Science office, FL 242.
02.20.2020
STUDENT SIGNATURE: _________________________________________________Date: _______________________
Student printed name:
____ ____________
FACULTY ADVISOR SIGNATURE: _________________________________________ Date:________________________
Faculty Advisor Printed Name: _________________
GRADUATE COORDINATOR SIGNATURE: _________________________________ Date:_________________________
Graduate Coordinator Printed Name: __________________________________________________________________
APPROVED PETITIONED COURSES
You can file a petition to have other courses counted toward the core compentency requirement.
STUDENT, FACULTY and GRADUATE ADVISOR SIGNATURES
5. BUSINESS INTELLIGENCE and CASE STUDIES:
4. DATA ANALYTICS and MINING:
3. DATA ACCESS and MANAGEMENT:
2. MATHEMATICAL ANALYTICS:
WPI DATA SCIENCE
Ph.D PLAN of STUDY
STUDENT NAME: ___________________________________________WPI ID: ______________________________
Faculty Advisor: ________________________________________________________________________________
1. Core Breadth Competency: Students must take a course from each of five Core DS Categories - 15 credits.
2. Core Depth Competency: Students must take 2 additional courses from any of 5 Core DS Categories - 6 credits.
3. Only courses with a B grade or higher may be counted toward the Ph.D. Competency Requirements.
4. Students must earn an A in 4
o
f
t
he
7
Core Competency Category Courses to meet Ph.D. Competency Requirements.
CORE COMPETENCY CATEGORIES
Students without prior background in a Core DS Category are advised to take the course listed with a star. *
With prior advior approval, students may submit a petition to take a course other than those in a Core DS Category.
1. INTEGRATIVE DATA SCIENCE:
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