Computational Data Science Certificate of Graduate Study
Use algorithms, statistics, and technology to extract business intelligence from data. Manage data and visually analyze and present information.
Why choose Rowan's computational data science program?
The Certificate of Graduate Study (C.O.G.S.) 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.
Key considerations
Quick Facts
Semesters To Complete
Credits
Application Deadlines
Fall Entry Term
Spring Entry Term
Summer Entry Term
Studying computational data science at Rowan
What You'll Learn
The Computational Data Science Certificate of Graduate Study is a part-time program offered in face-to-face format. It requires the completion of 12 semester hours.
- 4 Courses / 12 Semester Hours
- Foundation Courses: Yes
- Graduation / Exit / Thesis Requirements: No
Required Courses: 6 S.H.
| Course Number | Title | S.H. (Credits) |
| DA 02510 | Visual Analytics | 3 |
| CS 02505 | Data Mining I | 3 |
Restricted Elective Courses: 6 S.H.
| Course Number | Title | S.H. (Credits) |
| CS 02515 | Data Warehousing | 3 |
| STAT 02515 | Applied Multivariate Data Analysis | 3 |
| STAT 02514 | Decision Analysis | 3 |
| CS 07570 | Information Visualization | 3 |
| CS 04530 | Advanced Database Systems: Theory and Programming | 3 |
| CS 02630 | Advanced Topics in Database Systems | 3 |
| CS 07556 | Machine Learning | 3 |
| CS 02605 | Data Mining II | 3 |
| ECE 09555 | Advanced Topics In Pattern Recognition | 3 |
| DA 03505 | Data Quality and Web/Text Mining | 3 |
Note: The course information above is not official and is subject to change. For an official list of available courses, please review the Rowan University Academic Catalog.
Admission Requirements
The following is a list of items required to begin the application process for the program. There may be additional actions or materials required for admission to the program. Upon receipt of the materials below, a representative from the Rowan Global Admissions Processing Office will contact you with confirmation or will indicate any missing items.
- Completed Application Form
- Completed Foundation Courses
- Note about Foundation Courses: A sufficient computing and mathematics background, evidenced by courses in Calculus I & II, Statistics, Linear Algebra, Object-Oriented Programming, and Data Structures & Algorithms.
- No application fee required
- Bachelor's degree (or its equivalent) from an accredited institution of higher learning
- Official transcripts from all colleges attended (regardless of number of credits earned)
- Current professional resume
- Typewritten statement of professional objectives
- Provide reasons for pursuing the program. Describe how you might use this program to advance your career (educational goals beyond the master's level, if applicable, are also relevant).
- Two letters of recommendation from professional sources
- Minimum undergraduate cumulative GPA of 2.5 (on a 4.0 scale)
Tuition and Aid
At Rowan University, we pride ourselves on being vigilant and frugal about tuition. We work hard to provide quality education while seeking to reduce the barrier that college costs can present students.
We know paying for tuition can be a challenge. That is why Rowan provides students with the financial resources needed to put their education first by offering grants, loans, work-study, and scholarships.
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