Certificate Programs (Online & In-Person Options)

All certificate courses can be taken online or in-person. Additional information on Computer Science degree requirements, including a list of all CS graduate courses, can be found in the CS Graduate Catalog. Additional information on Data Science certificates can be found in the DS Graduate Catalog.

POST-BACCALAUREATE PROFESSIONAL COMPUTER SCIENCE CERTIFICATE

This certificate is intended for non-CS majors to gain foundational skills in Computer Science. The program requires 12 credit hours, consisting of five online or in-person undergraduate-level courses. Due to course sequencing, this certificate can be completed in 2-3 semesters of part-time enrollment.

  • CSCI 261: Programming Concepts
  • CSCI 262: Data Structures
  • DSCI 403: Introduction to Data Science
  • CSCI 306: Software Engineering
GRADUATE CERTIFICATE IN CYBERSECURITY FOR CYBER PHYSICAL SYSTEMS

The program requires 12 credit hours, consisting of four online or in-person graduate-level courses. Due to course sequencing, this certificate can be completed in 2 semesters.

  • CSCI 560: Fundamentals of Computer Networks
  • CSCI 574: Theory of Cryptography
  • CSCI 585: Information Security Privacy
  • CSCI 587: Cyber Physical Systems Security
GRADUATE CERTIFICATE IN DATA SCIENCE – FOUNDATIONS

This Certificate focuses on the foundational concepts in statistics and computer science that support the explosion of new methods for interpreting data in its many forms. The Certificate balances an introduction to data science with teaching basic skills in applying methods in statistics and machine learning to analyze data. The program requires 12 credit hours, consisting of four online or in-person courses:

  • DSCI 403: Introduction to Data Science
  • DSCI/CSCI 470: Introduction to Machine Learning
  • DSCI/MATH 530: Statistical Methods I
  • DSCI/MATH 560: Introduction to Key Statistical Learning Methods I
GRADUATE CERTIFICATE IN DATA SCIENCE – COMPUTER SCIENCE

This Certificate focuses on data science concepts within computer science (e.g., computational techniques and machine learning) plus prerequisite knowledge (e.g., probability and regression). The aim of this certificate is to help students develop an essential skill set in data analytics, including (1) deriving predictive insights by applying advanced statistics, modeling, and programming skills, (2) acquiring in-depth knowledge of machine learning and computational techniques, and (3) unearthing important questions and intelligence for a range of industries, from product design to finance. The program requires 12 credit hours, consisting of four online or in-person courses:

  • DSCI 403: Introduction to Data Science
  • DSCI/CSCI 470: Introduction to Machine Learning
  • DSCI/MATH 530: Statistical Methods I
  • DSCI/CSCI 575: Machine Learning