- The MS in statistics is available as an online or on-campus degree program.
- Learn how to use data mining, including machine learning tools and software like SAS and R, to drive insightful decision-making.
- Designed for students from varied professional and academic backgrounds. Your degree begins with a plan of study tailored to your interests and career goals.
The master's in applied statistics focuses on data mining, design of experiments, health care applications, and the application of statistics to imaging and industrial environments. You'll integrate knowledge learned through engaging courses to solve more complex problems for a wide range of organizations, including industrial, marketing, education, insurance, credit, government, and health care.
RIT's Statistics Master's Degree: On-Campus or Online
RIT's master's in applied statistics is available to both full- and part-time students with courses offered both on-campus and online. In the applied statistics master's you will learn:
- How to manage, analyze, and draw inferences from big data–adapting to a diverse audience using business communication skills to effectively convey your insights
- How to use data mining–with tools including machine learning, software like SAS and R–to drive insightful decision-making
- How to apply statistics to the design and analysis of experiment-based industrial studies and clinical trials
Curriculum packed with high-demand skills
- Software and Programming: Skills in Python and R are in 20% of job postings related to statistics.
- Data Science: Demand for skills in artificial intelligence has grown 190% in the last 2 years, and machine learning is in the top 15 skills employers want.
- Experimental Design: Crossover, adaptive, and equivalence designs are dominating 38% of this job market.
- Modeling Techniques: Statistical analysis skills like linear, multivariate, and logistic regression are in over of all postings for jobs in this field.
Areas of Concentration
- Clinical Trails
- Data Mining/Machine Learning
- Industrial Statistics
- Informatics
Electives
Choose your elective courses with the guidance of an advisor. These courses are usually department courses but may include up to 6 credit hours from other departments (or may be transferred from other universities) that are consistent with your professional objectives.
Capstone Thesis/Project
Practice integrating your knowledge from courses to solve more complex problems by completing a capstone project. This project is taken near the end of your course of study.
Students, with advisor approval, may write a thesis as their capstone. A thesis maybe 3 or 6 credit hours. If a student writes a 6 credit hour thesis, they would be required to complete four elective courses instead of five.
Earn a Credential As You Study
Earn the advanced certificate in applied statistics and advance your career, all while working toward your master of science in applied statistics. These four courses may be fully applied toward the master's degree.
Students are also interested in: Applied and Computational Mathematics MS

