Computational Data Science Certificate of Graduate Study

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.

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

Note: The courses listed above are not official and are subject to change. For an official list of available courses please visit the Rowan Global section tally.

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.
• $65 (U.S.) non-refundable application fee
• 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)