SDSU's M.S. in data science program has been ranked the by
SDSU's M.S. in data science program has been ranked the program in the nation by leading data science website .
Data science is one of the hottest careers in the nation today, with in the future. It's common to see it rated as the number one career in the nation on major employment websites such as . The SDSU M.S. in Data Science is a program that provides graduates with the statistical, mathematical and computational skills needed to meet the large-scale data science challenges of today's professional world.
SDSU M.S. in Data Science program is:
- Innovative: The curriculum incorporates current techniques in statistics, operations research, predictive modeling, data mining, forecasting, big data programming and management and data visualization.
- Professionally relevant: The program's focus is on application and interpretation of modern data analysis techniques of known value in today's professional world, both in the private and public sector.
- Professionally valuable: Some organizations have hired our department's recent B.S., M.S. and Ph.D. graduates in data science-related capacities.
Program structure
The SDSU M.S. in data science is a 30 credit program designed to be started in the summer and completed in one calendar year, June through May, although students may take more than one year to complete if they desire. More information on program structure and coursework.
International students must start in the summer semester
International students must start this program in the summer semester. Failure to start in the summer will typically increase the amount of time necessary to complete the program to two years. This makes it impossible to satisfy federal minimum credit hour requirements for maintaining appropriate visa status.
Domestic students are encouraged to start in the summer semester
Domestic students are encouraged to start this program in the summer semester. Failure to start in the summer will typically increase the amount of time necessary to complete the program to two years.
Who should apply?
If you want to use your quantitative talents to make a difference by solving important and challenging problems, this program could be right for you. You don't have to have an undergraduate major in mathematics or statistics to succeed; this program is accessible to people from a wide variety of other undergraduate backgrounds as well, including economics, engineering, computer science, the physical sciences and many others. Of course, a certain level of background is necessary. More information on admission requirements.
For more information:
Please contact Program Director:
