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Salary and Career Info

Applied Statistics and Data Analytics BS

Using statistics, probability, and computing, statisticians apply their knowledge of statistical methods—from data collection, and processing, through analysis and interpretation—to a variety of areas, including biology, economics, engineering, manufacturing, medicine, public health, psychology, marketing, and sports.

Program skills

Students gain skills and capabilities in data analysis, simple and multiple regression analysis, interpretation and presentation of data, problem solving, experimental design, survey sampling, quality control methodologies, statistical inference and statistical modeling.


SAS, R, SPSS, Minitab, LaTeX

Programming Languages:

Python, Java, C

Program facilities equipment

Students have access to programming, statistical and simulation languages, graphics software and design tools on a variety of platforms. Symbolic computation and statistical laboratories are also available.

Program job titles

Statistician; Biostatistician; Data Scientist; Quantitative Analyst; Data Engineer; Business Analytics Associate; Quality Analyst; Research Analyst; Reporting and Data Analytics Specialist

Program significant points

  • Application areas are very diverse and include product design, biostatistics, actuarial science, quality control, and statistical forecasting.
  • As an accelerated dual-degree program that allows students to earn a BS and an MS with one additional year of graduate study, the applied statistics and actuarial science degree will provide you with a strong foundation in mathematical and statistical methodology, experience in its applications, a solid background in the use of statistical computing packages, and the skills to communicate the results of statistical analysis.

Select program hiring partners

Liberty Mutual Insurance; M&T Bank; Regeneron Pharmaceuticals; Rochester Regional Health; The Hershey Company; Gallagher; Excellus BlueCross BlueShield; Ahold-Delhaize; Actuarial Strategies & Tactics


Outcome Rates for Applied Statistics and Data Analytics BS

Total percentage of graduates who have entered the workforce, enrolled in full-time graduate study, or are pursuing alternative plans (military service, volunteering, etc.).


Knowledge Rate

Total percentage of graduates for whom RIT has verifiable data, compared to national average knowledge rate of 41% per NACE.
Outcome % of Students
Employed 66.66%
Full-time Graduate Study 16.67%
Alternative Plans 0%
Outcome % of Students
Employed 66.66%
Full-time Graduate Study 16.67%
Alternative Plans 0%

Experiential Learning

Cooperative Education

What’s different about an RIT education? It’s the career experience you gain by completing cooperative education and internships with top companies in every single industry. You’ll earn more than a degree. You’ll gain real-world career experience that sets you apart. It’s exposure–early and often–to a variety of professional work environments, career paths, and industries. 

Co-ops and internships take your knowledge and turn it into know-how. Experiential learning opportunities in statistics include a range of hands-on experiences, from co-ops and internships to undergraduate research that enable you to apply your statistical knowledge in professional settings while you make valuable connections between classwork and real-world applications.