Applied Statistics
Online master of science degree
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A degree driven by real-time employer demand

Search our curriculum and you’ll find the expertise and skills most frequently posted by employers. Employers are are in urgent need of data scientists and statisticians and those jobs will grow 34% by 2026—outpacing most other occupations. Data is exploding in all fields and industries. The ability to extract, organize, and interpret the huge volumes of data produced daily has become must-have skills to move ahead in or maintain your career.

Connect with your admissions counselor to learn more.

Software & Programming
SAS skills are in 47% of all job postings in this field, with Python and R appearing in over 20%. You’ll learn and use leading software and programming languages to work with real data sets across many of your courses.
Data Science
The need for skills in artificial intelligence has grown 190% over the last two years. Machine learning is among the top 15 skills sought after by employers. You may select from electives and core courses to build a concentration in this trending skill set.
Experimental Design
Crossover, adaptive, and equivalence designs. Bioequivalent and multivariate testing. You’ll practice these essential techniques dominating 38% of the job market in this field and be equipped to design clinical trials, marketing tests, and industrial experiments.
Modeling Techniques
Statistical analysis skills account for 36% of all skills posted for jobs in this field. Linear, multivariate, and logistic regression. Time series analysis, forecasting, and clustering. You’ll learn and practice these techniques to be able to calculate any type of prediction.


The applied statistics job market

RIT’s MS degree in applied statistics is driven by employer demand. In our curriculum you’ll find the expertise and skills most frequently posted by employers. Request information.

Annual Salaries
Annual average salaries for top jobs in this field: Statisticians – $84,000. Data engineers – $116,591. Actuaries – $101,000.
Employment Growth
Employment for statisticians will grow 34% by 2026. Statistical analysis skills account for 36% of all skills posted for jobs in this field.
Demand for SAS
Skills using leading statistical tools like SAS are in 47% of all job postings in this field, with Python and R appearing in over 20%.
Demand for AI
Demand for artificial intelligence skills has grown 190% in the last 2 years. Machine learning is in the top 15 most-wanted skills.


Acquire analytics skills to increase your marketability

RIT’s flexible online MS degree in applied statistics will empower you with the data analytics skills you need to increase your value and marketability in today’s data-rich environment. Designed for students from varied professional and academic backgrounds, your degree will begin with developing a plan of study tailored to your interests and career goals. You’ll select one or two areas of concentration to design your own sequence of elective courses.

You’ll also gain a strong working knowledge of industry-standard statistical and data analytics software including SAS and R, putting theory into practice by conducting thorough analysis of real data sets. Areas of focus include: machine learning & data mining, clinical trials, informatics, and industrial statistics.


What 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—using 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


Credit hours, price & duration

The MS degree in applied statistics requires 30 credits and costs $1,191 per credit hour (Academic Year 2020-2021). You may complete the degree in 30 – 36 months studying part-time. For your convenience, we offer three start dates throughout the year. Request information.  

100% online degree designed for working professionals. 3 convenient start dates per year. No GRE or GMAT required. Complete in 30 – 36 months.
Leverage your degree from a top university meeting industry demand with a unique fusion of STEM and key non-STEM disciplines.
Earn a credential and advance your career while you work toward your MS. 4 courses of the MS will count toward a graduate advanced certificate.
Your applied statistics master's degree begins with designing a plan of study tailored to your interests and career goals.


Related graduate-level degrees 

RIT’s faculty and curriculum are at the leading edge of creativity, innovation, and design. You may be interested in these degree programs focused on data analytics which also emphasize application of emerging technologies, tools, and strategy to impact and influence industry.



STAT-611 | Statistical Software (3 Credits)

STAT-631 | Foundations of Statistics (3 Credits)

STAT-641 | Applied Linear Models – Regression (3 Credits)

STAT-642 | Applied Linear Models – ANOVA (3 credits) 

Elective Courses (15 credits)

STAT-790 | Capstone/Thesis/Project (3 credits)


STAT-621 | Statistical Quality Control (3 credits)

STAT-670 | Design of Experiments (3 credits)

STAT-672 | Survey Design and Analysis (3 credits)

STAT-745 | Predictive Analytics (3 credits)

STAT-747 | Principles of Statistical Data Mining (3 credits)

STAT-753 | Nonparametric Statistics and Bootstrapping (3 credits)

STAT-756 | Multivariate Analysis (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)


Admission requirements

  • Hold a baccalaureate degree (or equivalent) from an accredited university or college.
  • Have satisfactory background in mathematics (two course sequence in calculus) and one course in applied statistics. 
  • Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
  • Submit a current resume and personal statement.
  • Submit two letters of recommendation from academic or professional sources.
  • A minimum cumulative GPA of 3.0 (or equivalent) is recommended but not required.
  • GRE scores are not required. 
  • International applicants whose native language is not English must submit scores from the TOEFL, IELTS, or PTE.
  • Certain countries are subject to comprehensive embargoes under US Export Controls, which prohibit virtually ALL exports, imports and other transactions without a license or other US Government authorization.


Advanced Certificate in Applied Statistics 

Earn a credential as-you-go and advance your career all while working toward your master of science in applied statistics. Four courses of the MS degree program will count toward a graduate advanced certificate. 

The advanced certificate in applied statistics serves as a foundation for the MS degree. This credential is also offered as a stand-alone credential for professionals in non-data-centric fields who are being asked to add statistical analysis skills to make data-driven, analytical decisions in order to move into more strategic roles. 

Learn more about the advanced certificate in applied statistics.

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It’s quick and easy to apply!

Start your application now. We encourage you to begin your application now! Simply create an admissions account, and then begin your online application, which will take about 15 minutes to complete. You may save your work and return at any time. Your application may be submitted with or without the application fee and any supporting documents you wish to supply.

You may submit unofficial copies of your transcripts. If you are admitted, we’ll need the official transcript at that time.
RIT requires a $65 application fee for applicants. You may pay the application fee using a credit card.
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Please submit any supporting documents electronically through our easy upload option in the online application.


Questions about applying?

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Connect with Admissions Advisor, Karen Palmer