Graduate Program Chair
Brady Chen, PhD
Graduate Program Committee
Kevin Austin, PhD
Ricky Sethi, PhD
Natasha Kourtonina, PhD
Nadimpalli Mahadev, PhD
Stephen Taylor PhD
Brady Chen, PhD
Program Objectives
The Data Science Certificate Program will provide an opportunity for the students in Computer Science who would like to pursue their career in data analysis. It will also open the door for those who are interested in working on data across multiple disciplines.
Program Description
The data science certificate offers the opportunity for students to develop knowledge and skills in data analysis and visualization, database development, machine learning, and data mining. This certificate will enhance competitiveness and technical knowledge, and prepares students for professional careers in the rapidly changing field of managing, mining, integrating, and analyzing big data across a wide array of areas such as business, medicine, bioinformatics, government, education, marketing, security, financial management, and many other fields.
Admissions Standards and Criteria
A Bachelor Degree in Computer Science or other field is required. Students are also required to have sufficient background in (1) Computer programming, (2) Probability and Statistics (including the requisite additional background in Linear Algebra and Calculus), and (3) Database Design as foundational knowledge for this certificate program. This background may be gained by completion of the following courses, or by demonstration of prior content acquisition through academic credits earned in prior course work, professional experience in the field, non-credit training completed through professional development, and undergraduate course work in computer science and/or related fields.
CSC 1550 Computer Science II (see undergraduate catalog for description)
MATH 1700 Applied Statistics (see undergraduate catalog for description)
CSC 7500 Database Design
Students seeking to demonstrate the content knowledge must complete a form and submit evidence which is reviewed by the department.
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