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.
Recent graduates from our M.S. in Statistics and Data Science program are currently employed in the banking, biomedical, energy, insurance, and financial industries.
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Admission & Application
Application Information & Deadlines
- Find more information about the application process on the How to Apply page on the NSM website. Apply on CollegeNET.
- Fall Semester admissions only. No application fee for U.S. Citizens.
- International Applicants (Non-Resident) Deadline: May 1, 5 pm Central
- U.S. Citizens (Resident) Deadline: June 1, 5 pm Central
Application Requirement & Admission Criteria
- Applicants must hold a bachelor’s or master’s degree. A major in mathematics is not required. The Admissions Committee evaluates each applicant’s credentials, considering a broad range of criteria, including:
- Prerequisites: Calculus II and Linear Algebra (or equivalent courses, up to the discretion of the Admissions Committee)
- Cumulative GPA of 3.00 or higher in the last 60 hours
- The Graduate Record Examination (GRE) is waived for all master’s programs within the Department of Mathematics.
- Content of prior degree programs and competency in mathematics, including prerequisites
- Letters of recommendation from three individuals (at least one faculty member)
- English proficiency test scores, when applicable. Read UH’s English Language Proficiency Requirements for more information.
- 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.
Tuition & Fees
- Please be sure to check the UH Tuition & Fees page for a full picture of what you’ll pay. In addition to the amount you calculate from the tuition calculator, you will need to add the MSDS course fee of $200 per credit hour.
- Credit hours required for this degree: 30
- Required Courses (24 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)
- 1 Elective Course (examples of courses, 3 credit hours):
- Financial & Commodity Markets
- Biomedical Data Analysis & Computing
- Case Studies in Data Science
- Special Topics in Statistics
- Internship (3 credit hours):
- MATH 6315 - Masters Tutorial (3 credit hours)
I found the M.S. in Statistics and Data Science program at UH to be a challenging, exciting, and invaluable experience. I appreciated the diversity in backgrounds and disciplines among my peers and professors. My research internship with the UH physics department at the end of the program was an excellent bridge to my current role. I apply the theory and methodology taught in Statistics and Data Science courses regularly in my work solving natural science and social science problems!
Jasmine Eshun (M.S. ’20)
Data Scientist, Pacific Northwest National Laboratory
Overall, I would highly recommend the M.S. in Statistics and Data Science program to anyone interested in pursuing a career in data science or analytics. The coursework covered a wide range of relevant topics and prepared me well for a career in the data field. What I appreciated most about the program was its emphasis on hands-on projects. The professors were experts in their fields and always went above and beyond to ensure that we had a deep understanding of the material.
Basel Najjar (M.S. ’22)
The M.S. in Statistics and Data Science program at UH was an invaluable and rewarding learning experience for me. During my time in the program, I was able to refine my programming and technical skills as well as broaden my knowledge of statistics and various topics in data science that ranged from geospatial modeling to applications of machine learning in finance. Upon graduation, I felt that the diverse set of skills and knowledge I gained through the program greatly prepared me for my career in data analytics.
Patricia Sieng (M.S. ’21)
Finance Data Analyst, CBRE
The UH M.S. in Statistics and Data Science program provided a great foundation to pursue my data science career. I gained foundational knowledge in statistics and data science techniques as well as the technical skills needed to solve a variety of data-related problems. Obtaining my master’s degree in statistics and data science through the program was the stepping stone of my career journey.
Dayana Sosa (M.S. ’21)
Data Science Associate, JP Morgan Chase & Co.
Department of Mathematics
University of Houston
3551 Cullen Blvd., Room 641
Philip G. Hoffman Hall
Houston, TX 77204-3008
Answers to some common questions can be found on the Frequently Asked Questions page. Please contact Callista Brown (email@example.com) with any other questions.