Data Science Courses Offered Online or On-Campus
The curriculum is designed to connect data analytics and data science skills and knowledge with the needs evident in a host of fields. This certificate program can be taken online or on-campus and seeks to meet a significant need for data analytics experts, targeting a human-centered approach.
Those completing this certificate program will be able to identify and articulate problems, issues and decisions that can be informed by data analytics approaches and the ethical and social issues surrounding them; design and implement advanced strategies for analyzing big data, and create and present actionable information.
Students my also be interested in pursuing a master's in Health Care Data Analytics, program designed to bring the latest in the health care industry and the delivery of care and service, together with the tools of analysis and technology.
Data Science Courses Led By Respected Faculty
Students can expect excellence from program, led by respected faculty members including:
Career Opportunities Are Waiting For You
Students who receive the Data Science Certification can seek careers in professions including Computer and Information System Managers, Computer and Information Research Scientists, Software Developers, Systems Software, Data Warehousing Specialists, Business Intelligence Analysts and Search Marketing Strategists. Learn more about Employment information for certificate programs.
Questions about the Data Science Certificate and want more information? Please submit the short form below (all fields required) and we will respond to you shortly.
Prerequisites for Admission
- An earned baccalaureate degree in any field with a GPA of at least 3.000.
- Information systems (coding/programming) competency, or successful completion of the coding boot camp course MSCS 6500 Foundations of Computing or an equivalent taken elsewhere.
- A foundational undergraduate or graduate statistics class that includes descriptive statistics, validity, reliability, power analysis, parametric and non-parametric analysis, general linear model (predictive models with continuous outcomes), with emphasis on appropriate data analysis for study design, level of measurement and interpretation of results.
Applications are reviewed on a rolling basis, and admitted students may begin their program in summer, fall or spring.
*Upon admission, final official transcripts from all previously attended colleges/universities, with certified English translations if original language is not in English, must be submitted to the Graduate School within the first five weeks of the term of admission or a hold preventing registration for future terms will be placed on the student's record.
Students must complete a minimum of 15 credits of course work from the following courses:
or MSCS 6060
or MSCS 6380
Topics in Math, Stats, & Computer Science (Data at Scale)
Parallel and Distributed Systems
Advanced Database Systems
||Topics in Math, Stats, & Computer Science (Advanced Data Science)
||Topics in Math, Stats, & Computer Science (Ethical and Social Implications of Big Data)
|Total Credit Hours