Graduate Certificate in Data Science
(Banner code: SC-CERG-DSCI)
This certificate program focuses on mastering a variety of basic computational skills to manage and analyze data. The certificate is designed primarily for professionals in
technical fields who seek to upgrade their expertise in data science. This program is
also available as an option for prospective or currently enrolled master’s degree students.
The coursework in this program provides an accelerated introduction to concepts in
modern analysis of data. Topics include computer packages, graphics, databases, data
analytics and their applications.
For more information, please contact the Graduate Coordinator.
Applicants to all graduate programs at George Mason University must meet the admission standards and application requirements for graduate study as specified in the Graduate Admission Policies section of this catalog. Applicants should have an academic background in physical or biological sciences, engineering, mathematics, or computer science. They should have an undergraduate degree from a regionally accredited institution, with a GPA of at least 3.00 in their last 60 credits of study. In addition, applicants should have taken at least one course in differential equations and have facility in using a high-level computer programming language.
To apply, prospective students should complete the Mason Graduate Application, supply two copies of official transcripts from each college and graduate institution attended, and a current résumé. TOEFL scores are required of all international applicants.
The Computational Techniques and Applications Graduate Certificate entails 15 total credits, from both tools courses and applications courses.
Tools Courses (12 credits)
The tools courses are practical, skill-based courses covering specific software packages commonly used by scientists and engineers to solve data-related problems. Twelve credit hours of tools courses are required. The tools courses are the following:.
- CSI 500 – Computational Science Tools Credits: 3
- CSI 501 – Introduction to Scientific Programming Credits: 3
- CDS 501 – Scientific Information and Data Visualization Credits: 3
- CDS 502 – Scientific Data and Databases Credits: 3
Applications Courses (3 credits)
The applications courses provide content from a specific scientific domain and demonstrate the utilization of techniques within its context. Choose one course from the following:
- CSI 695 – Scientific Databases Credits: 3
- CSI 777 – Principles of Knowledge Mining Credits: 3
- CSS 692 – Social Network Analysis Credits: 3