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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
Courses
Major
Computer Science | Data Analytics | Data Science
Area of study
Information and Communication Technologies | Mathematics and Statistics
Timing
Part time
Course Language
English
About Program

Program Overview


Computational Data Science Certificate of Graduate Study

Program Overview

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.


Curriculum

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

Course Number | Title | S.H. (Credits)
---|---|---
Required Courses: 6 S.H.
DA 02510 | Visual Analytics | 3
CS 02505 | Data Mining I | 3
Restricted Elective Courses: 6 S.H.
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


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.
  • $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)

Deadlines, Tuition & Financial Aid

Entry Terms & Deadlines Tuition Financial Aid


The chart below details available entry terms for the Computational Data Analytics Certificate of Graduate Study program as well as corresponding application deadlines. Submitting the Application Form is only the first step to beginning the admission process. All of the required materials listed above must be received on or before the application completion deadline for your desired entry term to be considered for admission to that term. We encourage you to complete the application form and begin submitting your materials at least one month before the deadline indicated.


Entry Term | Application Deadline
---|---
Fall | July 1
Spring | November 1
Summer | April 1


Rates


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.


Program Outline

Outline:


Program Content and Structure:

The Computational Data Science Certificate of Graduate Study (COGS) is a part-time program offered in face-to-face format. It requires the completion of 12 semester hours.


Course Schedule and Individual Modules:

The program consists of the following required and restricted elective courses:


Required Courses:

  • Visual Analytics (3 S.H.)
  • Data Mining I (3 S.H.)

Restricted Elective Courses:

  • Data Warehousing (3 S.H.)
  • Applied Multivariate Data Analysis (3 S.H.)
  • Decision Analysis (3 S.H.)
  • Information Visualization (3 S.H.)
  • Advanced Database Systems: Theory and Programming (3 S.H.)
  • Advanced Topics in Database Systems (3 S.H.)
  • Machine Learning (3 S.H.)
  • Data Mining II (3 S.H.)
  • Advanced Topics In Pattern Recognition (3 S.H.)
  • Data Quality and Web/Text Mining (3 S.H.)
SHOW MORE
Admission Requirements

Entry Requirements:

  • Completed Application Form
  • Completed Foundation Courses:
  • 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
  • Reasons for pursuing the program
  • How the program will be used to advance career
  • Educational goals beyond the master's level (if applicable)
  • Two letters of recommendation from professional sources
  • Minimum undergraduate cumulative GPA of 2.5 (on a 4.0 scale)
Student Stories
Kriish Hate
India | Undergraduate | Environmental Science
https://www.youtube.com/watch?v=Cz7vMz_yZJA
Sarah Atai
Uganda | Graduate | MBA
https://www.youtube.com/watch?v=H2sbhrPvtTM
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