Applied Statistics Apply Now
Master of Science
Program Overview

This master of science degree in applied statistics provides students with a broad spectrum of skills in statistical methods as described in the previous section. Successful graduates will have completed 30 credit hours of core and elective courses carefully designed by our faculty based on the current demands from employers and the standards in the field of applied statistics.

Our MS students work with their faculty advisors on establishing a plan of study. This process typically involves selection of a concentration based on the student’s interests and desires of specific types of employment. Each concentration consists of two elective courses with an arbitrary selection of the remaining electives. These concentrations are optional, that is, a student can also design his or her own sequence of elective courses. The following five concentrations are available:

Predictive Analytics:
STAT-745 Predictive Analytics
STAT-773 Time Series Analysis and Forecasting

Data Mining/Machine Learning:
STAT-747 Principles of Statistical Data Mining

Industrial:
STAT-621 Statistical Quality Control
CQAS-682 Fundamentals of Lean Six Sigma

Biostatistics:
STAT-762 SAS Database Programming
STAT-775 Design and Analysis of Clinical Trials

Theory:
STAT-756 Multivariate Analysis

Applications may be submitted any time during the year. For priority consideration, please submit all application materials a minimum of 6 weeks prior to your intended start date.

• How much?
\$954 per credit hour (2015/16 AY)
• How long?
30 credit hours required
A full-time student could finish the program in 1.5-2 years, and a part-time student could complete the program in 4 years.
• What will I study?
• STAT-611 Statistical Software (3 credits)
• STAT-741 Regression Analysis (3 credits)
• STAT-701 Foundations of Experimental Design (3 credits)
• STAT-731 Fundamentals of Statistical Theory (3 credits)
• STAT-792 Capstone (3 credits) or STAT-790 Thesis (6 credits)

• Choose 4-5 courses from the following list of electives:
• STAT-621 Statistical Quality Control (3 credits)
• STAT-672 Survey Design and Analysis (3 credits)
• STAT-735 Advanced Statistical Theory (3 credits)
• STAT-745 Predictive Analytics (3 credits)
• STAT-747 Principles of Statistical Data Mining (3 credits)
• STAT-751 Nonparametric Statistics and Bootstrapping (3 credits)
• STAT-756 Multivariate Analysis (3 credits)
• STAT-758 Multivariate Statistics for Imaging Science (3 credits)
• STAT-762 SAS Database Programming (3 credits)
• STAT-773 Time Series Analysis and Forecasting (3 credits)
• STAT-775 Design and Analysis of Clinical Trials (3 credits)
• STAT-784 Categorical Data Analysis (3 credits)
• STAT-786 Advanced Programming in R (3 credits)
• CQAS-682 Fundamentals of Lean Six Sigma (3 credits)
• What jobs can I get?
• Statistician
• Data Scientist
• Economist
• Software Engineer
• Mathematician
• Risk Analyst
• Quality Analyst
• Investigator
• Environmental Scientist
• Pharmaceutical Engineer
• Researcher
• Data Analyst
• Quality Engineer
• Reliability Analyst
• Statistical Consultant
• Quality Manager
• Statistical Consultant
• Project Manager
• Manager
• Professor
• Who will hire me?
• Bausch & Lomb
• Delphi
• Eastman Kodak Company
• General Motors
• Harris Interactive
• Harris RF Communications
• Johnson & Johnson (Ortho Clinical)
• Moog
• Pfizer
• Southco
• Welch Allyn
• Xerox
• Why choose RIT?
• 95% of RIT graduates enter the workforce or continue to go on for further education
• RIT alums hail from more than 101 countries and work for more than 3,000 employers
• Upon graduation, you’ll become a member of the 114,000-strong RIT alumni community
• We build programs based on real-time employer demand
• The same faculty that teach on-campus, teach online
• RIT faculty have extensive experience in the classroom, in research, and in their professional fields
• We provide the same library services and resources, including a dedicated librarian, for online students