Certificate of Graduate Study in Computational Data Science

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The Certificate of Graduate Study (COGS) in Computational Data Science is intended for tech savvy industry managers who need to take advantage of big data opportunities. As a result of this program, students will be able to apply data analytics in any area of specialization. Students will be prepared to use algorithms, statistics, and technology to extract business intelligence from massive amounts of data, to manage streamed data or data stored in massive data warehouses and to visually analyze and present information.

Program Requirements

Required Courses: 6 s.h.

DS 02510 - Visual Analytics Credits: 3
CS 02505 - Data Mining I Credits: 3

Electives Courses: 6 s.h.

Choose two of the following courses:

CS 02530 - Advanced Database Systems: Theory and Programming Credits: 3
CS 02570 - Information Visualization Credits: 3
CS 02605 - Data Mining II Credits: 3
CS 02620 - Data Warehousing Credits: 3
CS 02625 - Data Quality and Web/Text Mining Credits: 3
CS 02630 - Advanced Topics in Database Systems Credits: 3
CS 07556 - Machine Learning I Credits: 3
ECE 09555 - Machine Learning Credits: 3
STAT 02514 - Decision Analysis Credits: 3
STAT 02515 - Applied Multivariate Data Analysis Credits: 3

Total Required Credits for the Program: 12 s.h.

Foundation Courses

None

Graduation/Exit, Benchmark, and Thesis Requirements

None

Minimum Required Grades and Cumulative GPA

The COGS in Computational Data Science is a Category 3 program.

For details regarding satisfactory academic progress and graduation requirements, please visit Academic Program Policy Categories .

Program Coordinator/Advisor Contact Information
Anthony Breitzman
Robinson Hall, Room 328P
breitzman@rowan.edu