MPS in Data Science and Analytics
Note: This program is no longer accepting applications. New students should apply to the Master of Science in Data Science.
The Science Academy, housed in the College of Computer, Mathematical, and Natural Sciences (CMNS), draws on the university’s collective expertise to provide academic programs that are both rigorous and relevant. Science Academy Graduate Programs translate research into applied knowledge and provides current and future professionals with invaluable skills.
Mentoring and advising are an essential part of the program. Students meet with faculty and the academic program director to ensure that educational goals and career learning and development goals are met. Students should contact Science Academy staff via email: scienceacademy@umd.edu.
Courses
Below is a listing of all program courses. For a detailed course description that includes pre-requisites or co-requisites, see The Graduate School Catalog, Course Listing as follows: DATA Course Descriptions.
| Type | Course Number | Title |
|---|---|---|
| Core | DATA601 | Probability & Statistics |
| Core | DATA602 | Principles of Data Science |
| Core | DATA603 | Principles of Machine Learning |
| Core | DATA604 | Data Representation and Modeling |
| Core | DATA605 | Big Data Systems |
| Core | DATA606 | Algorithms for Data Science |
| Core | DATA607 | Communication in Data Science and Analytics |
| Methods | DATA698 | Research Methods and Study Design |
| Elective | DATA612 | Deep Learning |
Registration Overview
- See the sample plan of study, below. Students should use this as a guide to develop a plan with the academic program director.
- Actual course offerings are determined by the program and may vary semester to semester. Students should note if a course has a pre-requisite or co-requisite.
- Specific class meeting information (days and time) is posted on UMD’s interactive web service services, Testudo. Once on that site, select “Schedule of Classes,” then the term/year. Courses are listed by academic unit.
- The program uses specific section codes for registration, which are listed on the sample of study.
Sample Plan, Full-Time
| Semester | Year | Course Number | Section Code | Credits |
|---|---|---|---|---|
| Fall | 1 | DATA601 | PCS* | 3 |
| Fall | 1 | DATA602 | PCS* | 3 |
| Fall | 1 | DATA603 | PCS* | 3 |
| Spring | 1 | DATA604 | PCS* | 3 |
| Spring | 1 | DATA605 | PCS* | 3 |
| Spring | 1 | DATA606 | PWS* | 3 |
| Summer | 1 | DATA612 | PWS* | 3 |
| Fall | 2 | DATA641 | PCS* | 3 |
| Fall | 2 | DATA607 | PCS* | 3 |
| Fall | 2 | DATA650 | PCS* | 3 |
Sample Plan, Part-Time
| Semester | Year | Course Number | Section Code | Credits |
|---|---|---|---|---|
| Fall | 1 | DATA601 | PCS* | 3 |
| Fall | 1 | DATA602 | PCS* | 3 |
| Spring | 1 | DATA604 | PCS* | 3 |
| Spring | 1 | DATA603 | PCS* | 3 |
| Summer | 1 | DATA612 or DATA698 | PCS* | 3 |
| Fall | 2 | DATA650 | PCS* | 3 |
| Fall | 2 | DATA607 | PCS* | 3 |
| Spring | 2 | DATA605 | PCS* | 3 |
| Spring | 2 | DATA641 | PCS* | 3 |
| Summer | 2 | DATA606 | PWS* | 3 |