# MS Statistics

## Program Learning Outcomes

1. Demonstrate mastery of core statistical theory;
2. Demonstrate proficiency in statistical methodology and data analysis;
3. Select, justify, and apply appropriate inferential and predictive methods;
4. Responsibly interpret results and output of statistical analyses;
5. Communicate effectively (written and oral) and organize/manage projects in collaborative settings (within and between disciplines);
6. Write code for statistical applications in one or more languages;
7. Gather and manage data from a variety of sources;
8. Collaborate with researchers and clients to solve data‐oriented problems that arise in other disciplines; and,
9. Conduct independent learning and research.

 Required Courses STAT 425 Probability Theory 4 STAT 426 Estimation and Sampling Theory 4 STAT 427 Mathematical Statistics 4 STAT 466 Senior Project - Statistical Consulting 4 STAT 550 Generalized Linear Models 4 STAT 551 Statistical Learning with R 4 STAT 566 Graduate Consulting Practicum 2 STAT 590 Graduate Seminar in Statistics 3 STAT 599 Thesis 8 Approved Electives Select from the following: 1 8 CSC 448 Bioinformatics Algorithms CSC 466 Knowledge Discovery from Data CSC 477 Scientific and Information Visualization CSC 566 Topics in Advanced Data Mining CSC 582 Computational Linguistics DATA 402 Mathematical Foundations of Data Science DATA 403 Data Science Projects Laboratory MATH 406 Linear Algebra III MATH 412 Introduction to Analysis I MATH 413 Introduction to Analysis II MATH 414 Introduction to Analysis III MATH 451 Numerical Analysis I MATH 453 Numerical Optimization MATH 550 Real Analysis STAT 410 Statistics Education: Pedagogy, Content, Technology, and Assessment STAT 415 Bayesian Reasoning and Methods STAT 416 Statistical Analysis of Time Series STAT 417 Survival Analysis Methods STAT 419 Applied Multivariate Statistics STAT 421 Survey Sampling and Methodology STAT 440 SAS Certification Preparation STAT 441 SAS Advanced Certification Preparation STAT 500 Independent Study STAT 541 Advanced Statistical Computing with R STAT 543 Advanced Design and Analysis of Experiments STAT 545 Applied Stochastic Processes Total units 45