The online master’s degree in data science prepares you to succeed in specialized jobs involving everything from the data pipeline and storage to statistical analysis and eliciting the story the data tells. Learn from senior-level engineers and data scientists who will incorporate realistic scenarios in your studies that you have or will encounter as a professional.
Admission Requirements
- You must meet the general admission requirements that pertain to all graduate certificate candidates.
- Applicants who are interested in taking graduate-level courses, but not necessarily interested in pursuing a full master’s degree are eligible for the Graduate Certificate in Data Science. Applicants are required to meet the same requirements for admission as the master’s degree.
Certificate Requirements
- Complete the two core courses and two courses selected from the five required courses from the Data Science master’s degree program list below.
- One or more required courses can be waived by your advisor if you have received a grade of a B− or above in equivalent graduate courses. In this case, you may replace the waived required courses with the same number of other graduate Data Science courses and may take these courses after all remaining course requirements have been satisfied.
- Only one C-range grade (C+, C, or C−) can count toward the graduate certificate.
- All course selections outside the four required foundational courses are subject to advisor approval.
Core Courses
Course Number & Name | Course Format |
---|---|
Course Number & Name: 625.603 - Statistical Methods and Data Analysis | Course Format: Asynchronous Online, Hybrid In-person and Synchronous Online |
Course Number & Name: 685.621 - Algorithms for Data Science | Course Format: Asynchronous Online |
Required Courses
Two courses must be chosen
Course Number & Name | Course Format |
---|---|
Course Number & Name: 685.648 - Data Science | Course Format: Asynchronous Online |
Course Number & Name: 685.652 - Data Engineering Principles and Practice | Course Format: Asynchronous Online, Synchronous Online |
Course Number & Name: 685.662 - Data Patterns and Representations | Course Format: Asynchronous Online, Synchronous Online |
Course Number & Name: 625.661 - Statistical Models and Regression | Course Format: Asynchronous Online |
Course Number & Name: 625.615 - Introduction to Optimization or | Course Format: Asynchronous Online |
Course Number & Name: 625.664 - Computational Statistics | Course Format: Asynchronous Online |
Course Planning and Search
Wondering what course to take when or which courses are required? Use these helpful course planning and course search tools to help map out your path to degree completion.
Academic Calendar
Find out when registration opens, classes start, transcript deadlines and more. Applications are accepted year-round, so you can apply any time.
Master's in Data Science
Explore a part-time, online master's degree, and take carefully constructed, modern courses designed for the way you live and work today—all while having invaluable mentorship from professors you can conveniently access.