Master of Applied Statistics & Data Science
| Program start date | Application deadline |
| 2026-09-01 | - |
| 2027-09-01 | - |
Program Overview
UCLA’s Master of Applied Statistics & Data Science Program
The Master of Applied Statistics & Data Science (MASDS) program was created in response to the rapid rise in demand for data-centric skills in the Los Angeles area. Recent changes in the economy and the growing reliance of businesses and government agencies on data have created an increased demand for workers who can manage data and produce informative visualizations of data, and are guided by fundamental statistical principles.
Program Overview
The MASDS program will help meet this need by providing working professionals the means to obtain a first-rate postgraduate-level education in applied statistics and quantitative analytics. The program is designed for working professionals, and as a result, courses will be offered in the evening to allow timely completion of the program. In addition, the program is perfect for those who wish to transition to a more quantitatively focused career.
Program Structure
- The degree will require a thesis project that will involve working closely with an industry partner and a faculty member to solve a real scientific or business problem.
- This will often be in the field where the student is working, thus deepening their understanding of it.
- The Department has various business, industry, and government partners to provide internships, thesis topics, support for their employees, and job prospects for graduating students.
Admissions
- Applications for the class will open in October 2025.
- Deadline to submit is February 1, 2026.
- Late applications are accepted on a case-by-case basis.
Program Benefits
- The MASDS program now has the highest job placement rate of any UCLA Self-Supporting Program and is also the most exclusive (highest applicant to enrollment ratio).
- All classes will be taught by regular departmental faculty.
- The program is designed to provide working professionals with the means to obtain a first-rate postgraduate-level education in applied statistics and quantitative analytics.
