M.S. Degree Requirements: 33 Credit Hours
The program integrates a strong core in Statistics and Computer Science while offering opportunities to specialize in Business, Health Sciences, Sports Science, Computation, and Theory. Students may complete the degree online, on campus, or in a hybrid format--often in as little as 18 months.
Students are taking STAT 5327: Time Series Analysis with Prof. Mostafa Zahed.
Students are taking STAT 5730: Multivariate Statistics with Prof. Maryam Skafyan.
Students are working on their Internship Experience for STAT 5910.
Core Courses: 24 Credits
Thesis Option: 9 Credits
Non-Thesis Option: 9 Credits
Core Curriculum:
-
- MATH 5830 - Analytics and Predictive Modeling (3)
- STAT 5710 - Statistical Methods 1: Linear Models (3)
- STAT 5720 - Statistical Methods II: Generalized Linear Models (3)
- STAT 5730 - Applied Multivariate Statistical Analysis (3)
- CSCI 5000 - Data Management (3)
- CSCI 5260 - Artificial Intelligence (3)
- CSCI 5270 - Machine Learning (3)
- STAT 5910 - Internship Experience in Data Science I (3)
Culminating Experience: 9 Credits
For their culminating experience, students can choose to complete a thesis (3 credits) and 6 credits from one focus area OR the second part of the industrial practicum and 6 credits from one focus area.
Thesis Option:
MATH 5960 - Thesis (3 credits) and Focus Area Courses (6 credits)
Non-Thesis Option:
STAT 5920 - Internship Experience in Data Science II (3 credits) and Focus Area Courses
(6 credits)
Note: The internship experience could be team projects, with students serving on 2 different teams with different companies that stem across the year.
Focus Area: 6 Credits
Theory
- MATH 5257- Numerical Analysis (3)
- MATH 5810- Operations Research I (3)
- MATH 5820- Operations Research II (3)
- MATH 5890- Stochastic Modeling (3)
- STAT 5047 - Mathematical Statistics 1 (3)
- STAT 5057- Mathematical Statistics 2 (3)
- STAT 5217- Statistical Machine Learning (3)
- STAT 5287- Applications of Statistics (3)
- STAT 5307- Sampling and Survey Techniques (3)
Computation
- CSCI 5010 - Programming for Data Analytics (3)
- CSCI 5037 - Natural Language Processing and Text Analysis (3)
- CSCI 5047 - Data Analytics and Visualization (3)
- CSCI 5050 - Decision Support Systems (3)
- CSCI 5620 - Analysis of Algorithms (3)
Health Sciences
- ALHE 5150 - Population Health Issues for the Allied Health Professional (3 credits)
- ALHE 5200 - Assessment, Planning, and Evaluation (3 credits)
- ALHE 5500 - Methods of Research in Allied Health (3 credits)
- BSTA 5350 - Intermediate Biostatistics (3 credits)
- BSTA 5360 - Clinical Research: Design and Analysis (3 credits)
- BSTA 5385 - Applied Longitudinal Data Analysis (3 credits)
- BSTA 5390 - Survival Analysis in Public Health (3 credits)
- BSTA 6170 - SAS Programming with Research Applications in Public Health (3 credits)
- COBH 5250 - Community-Based Methods in Public Health (4 credits)
- EPID 5100 - Analytic Methods in Public Health (4 credits)
- EPID 5405 - Intermediate Epidemiology (3 credits)
- EPID 5430 - Epidemiology of Infectious Disease (3 credits)
- EPID 5460 - Environmental Epidemiology (3 credits)
- EPID 5480 - Genetic Epidemiology (3 credits)
- EPID 6410 - Advanced Multivariate Epidemiologic Data Analysis (3 credits)
- EPID 6420 - Applied Epidemiologic Analysis (3 credits)
- EPID 6470 - Risk Behavior Epidemiology (3 credits)
- HSMP 5040 - Health Systems, Regulations, and Policies (4 credits)
- HSMP 5300 - Quality Improvement in Health Services Organizations (3 credits)
- HSMP 6310 - Population Health Management (3 credits)
- HSMP 6320 - Health Services Research Methods (3 credits)
- MATH 5880 - Modeling of Infectious Diseases and Social Networks (3 credits)
- NRSE 6030 - Quantitative Methods in Nursing Research (3 credits)
- NRSE 6035 - Advanced Quantitative Design and Data Analysis in Nursing Research (3 credits)
Sports Science
- PEXS 5270 - Sport Biomechanics (3)
- PEXS 5520 - Instrumentation in Exercise and Sport Science (3)
- PEXS 5670 - Research Design and Analysis (3)
- SALM 5670 - Sport Management Research (3)
Data Science
- AMBA 5140 - Data Analysis and Modeling (3)
- ACCT 5150 - Accounting Information for Decision Making (3)
- MKTG 5717 - Data Driven Marketing Decisions (3)
- MSDM 5010 - Digital Marketing Research (3)
- MSDM 5050 - Web Analytics (3)
- MSDM 5060 - Business Analytics, Data Visualization and Online Metrics (3)
- MSDM 5080 - Search Marketing (3)
- MSDM 5090 - Digital Marketing Strategy (3)
- MSDM 5100 - Digital Marketing Strategic Experience (3)
General Data Science
- BIOL 5367 - Modeling Biological Systems (3)
- BIOL 5500 - Biometry (3)
- CJCR 5950 - Quantitative Methods in Criminology (3)
- EDFN 5950 - Methods of Research (3)
- ELPA 6300 - Professional Needs of Individuals and Groups (6)
- ELPA 6870 - Field Research in Educational Leadership (3)
- ELPA 6951 - Seminar in Research Analysis and Interpretation (3)
- ELPA 6952 - Action Research (3)
- GEOS 5010 - Geospatial Analysis (3)
- GEOS 5017 - Advanced Cartography: Web & Mobile Mapping (3)
- GEOS 5237 - Advanced Remote Sensing (3)
- GEOS 5300 - Topics in Geospatial Analysis (3)
- GEOS 5317 - Advanced Geographic Information Systems (3)
- GEOS 5320 - Geographic Information Systems Projects (3)
- GEOS 5350 - Statistics for Geosciences (3)
- GEOS 5807 - Unmanned Aerial Systems (UAS) Mapping and Modeling (3)
- PHYS 5007 - Computational Physics (4)
- PSYC 5210 - Statistical Methods (3)
- PSYC 5410 - Correlation and Multiple Regression (3)
- PSYC 6210 - Meta-Analytic Research Methods (3)
- PSYC 6410 - Covariate Structural Modeling (3)
- SOCI 5444 - Data Analysis (3)