The Master of Science in Statistics and Data Science, offered by the Department of Mathematics, provides students with training in the statistical analysis of data sets, as well as in state-of-the-art data mining techniques. The program includes computational implementations on real data sets and learning key theoretical concepts. The program provides students with necessary skills required for professional positions in data analysis and statistics.
- One-calendar-year hybrid program combining on-campus and online courses (total of 30 credits)
- Builds a solid foundation in applied statistics and provides rigorous principles to guide statistical inference
- Teaches fundamental skills in modeling and analysis of complex data
- Provides hands-on experience through in-class learning and research project internships in industrial, commercial or biomedical settings
- Improves programming skills to the professional level for data analytics
- Broadens knowledge of statistical research and machine learning
- Requires a minimal prerequisite of mathematical/statistical knowledge and programming languages
- Mentored by experienced professors of many years teaching and research.
- Most efficient and cost-effective professional degree program in the Houston area
- STEM Designated Degree Program
- MSDS Poster
- MSDS Brochure
- MSDS Homecoming
- MSDS Open House
Credit hours required for this degree: 30.0
- Required Courses (24.0 credit hours):
- MATH 6350 - Statistical Learning and Data Mining (3 credit hours)
- MATH 6357 - Linear Models and Design of Experiments (3 credit hours)
- MATH 6358 - Probability Models and Statistical Computing (3 credit hours)
- MATH 6359 - Applied Statistics and Multivariate Analysis (3 credit hours)
- MATH 6373 - Deep Learning and Artificial Neural Networks (3 credit hours)
- MATH 6380 - Programming Foundation for Data Analytics (3 credit hours)
- MATH 6381 - Information Visualization (3 credit hours)
- MATH 6386 - Big Data Analytics (3 credit hours)
- Elective Course Options (3.0 Credit Hours):
- MATH 6387 - Biomed Data Analysis and Computing (3 credit hours)
- MATH 6388 - Genome Data Analysis (3 credit hours)
- MATH 6397 - Selected Topics in Math (3 credit hours)
- Summer Internship Program (3.0 Credit Hours):
- MATH 6315 - Masters Tutorial (3 credit hours): "MSDS" Suggested Degree Plan (1-year)
Note: International students can not exclusively register for online courses.
We strongly recommend that U.S. citizens fill out the FAFSA (Free Application for Federal Student Aid). Texas residents with demonstrated financial needs through completion of the FAFSA application may be eligible for the University of Houston Graduate School Fund, to help defray the cost of tuition and fees.
- 3.0+ : Cumulative GPA of 3.00 or higher in the last 60 hours
- *Effective Spring 2022, The Graduate Record Examination (GRE) is waived for all Masters programs within the Department of Mathematics.
- Content of prior degree programs and competency in mathematics, including prerequisites
- Letters of recommendation from three individuals (preferably faculty members)
- English proficiency test scores, when applicable
- Resume and Personal Statement
- Background in Probability and Statistics is not essential, but is a plus
- Proficiency in at least one of the main programing languages used in data analysis (R, SAS, Matlab, Python, etc.) is not required, but is helpful
- Visit our FAQs Webpage!
- Find more information about the application process on the How to Apply page on the NSM website. Click the Collegenet link to apply.
- Fall Semester admissions only. No application fee for U.S. Citizens
- International Applicants (Non-Resident): May 1st
- U.S. Citizens (Resident): June 1st
Callista Brown, Program Manager
Wenjiang Fu, PhD. Professor and Program Director
Cathy Poliak, PhD. Instructional Assistant Professor and Associate Program Director
Robert Azencott, PhD. Professor and Program Scientific Advisor
Mailing Address: Department of Mathematics, University of Houston, 3551 Cullen Blvd., 641 Philip G. Hoffman Hall, Houston, TX 77204-3008
*Note: The correct designation for degrees on the transcript, will be denoted as: Statistics and Data Science, M.S.