Applied Statistics MS

Tuition Fee

Start Date

Medium of studying

Duration

Details

Program Details

Degree

Masters

Major

Applied Statistics | Mathematics | Statistics

Area of study

Mathematics and Statistics

Course Language

English

About Program

Program Overview

Applied Statistics Master of Science Degree

Overview

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.

Why Study Applied Statistics at RIT

STEM-OPT Visa Eligible: The STEM Optional Practical Training (OPT) program allows full-time, on-campus international students on an F-1 student visa to stay and work in the U.S. for up to three years after graduation.
Online or On-campus: The MS in statistics is available as an online or on-campus degree program.
Data Driven: Learn how to use data mining, including machine learning tools and software like SAS and R, to drive insightful decision-making.
Tailored to your Interest: The applied statistics MS has a flexible degree plan to tailor the degree to your interests and career goals.

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

Applied Statistics 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 ⅓ of all postings for jobs in this field.

Areas of Concentration

Clinical Trials
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 may be 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.

Careers and Experiential Learning

Typical Job Titles

Sr. Business Intelligence Analyst
Epidemiology Research Analyst
Financial Analyst
Statistician
Market Research Analyst
Statistical Engineer
Loss Forecasting and Analytics
Crime Technology Analyst
Advanced Quality Engineer
Principal Six Sigma Engineer

Cooperative Education and Internships

What makes an RIT science and math education exceptional? It's the ability to complete science and math co-ops and gain real-world experience that sets you apart. Co-ops in the College of Science include cooperative education and internship experiences in industry and health care settings, as well as research in an academic, industry, or national lab. These are not only possible at RIT, but are passionately encouraged.

What makes an RIT education exceptional? It's the ability to complete relevant, hands-on career experience. At the graduate level, and paired with an advanced degree, cooperative education and internships give you the unparalleled credentials that truly set you apart. Learn more about graduate co-op and how it provides you with the career experience employers look for in their next top hires.

National Labs Career Events and Recruiting

The Office of Career Services and Cooperative Education offers National Labs and federally-funded Research Centers from all research areas and sponsoring agencies a variety of options to connect with and recruit students. Students connect with employer partners to gather information on their laboratories and explore co-op, internship, research, and full-time opportunities. These national labs focus on scientific discovery, clean energy development, national security, technology advancements, and more. Recruiting events include our university-wide Fall Career Fair, on-campus and virtual interviews, information sessions, 1:1 networking with lab representatives, and a National Labs Resume Book available to all labs.

Curriculum for Applied Statistics MS

Applied Statistics, MS degree, typical course sequence

First Year
- STAT-631: Foundations of Statistics
- STAT-641: Applied Linear Models - Regression
- STAT-642: Applied Linear Models - ANOVA
- Electives (9 credits)
Second Year
- Electives (9 credits)
- STAT-790: Capstone Thesis/Project
Total Semester Credit Hours: 30

Program Electives

STAT-611: Statistical Software- R
STAT-621: Statistical Quality Control
STAT-670: Design of Experiments
STAT-672: Survey Design and Analysis
STAT-675: Data Visualization & Storytelling
ISEE-682: Lean Six Sigma Fundamentals
STAT-745: Predictive Analytics
STAT-747: Principles of Statistical Data Mining
STAT-753: Nonparametric Statistics and Bootstrapping
STAT-756: Multivariate Analysis
STAT-773: Times Series Analysis and Forecasting
STAT-775: Design and Analysis of Clinical Trials
STAT-776: Causal Inference
STAT-784: Categorical Data Analysis
STAT-787: Advanced Statistical Computing
STAT-762: SAS Database Programming

Admissions and Financial Aid

Application Details

To be considered for admission to the Applied Statistics MS program, candidates must fulfill the following requirements:

Complete an online graduate application.
Submit copies of official transcript(s) (in English) of all previously completed undergraduate and graduate course work, including any transfer credit earned.
Hold a baccalaureate degree (or US equivalent) from an accredited university or college. A minimum cumulative GPA of 3.0 (or equivalent) is recommended.
Satisfy prerequisite requirements and/or complete bridge courses prior to starting program coursework.
Submit a current resume or curriculum vitae.
Submit a personal statement of educational objectives.
Submit two letters of recommendation.
Entrance exam requirements: None
Have college-level credit or practical experience in a programming language.
Submit English language test scores (TOEFL, IELTS, PTE Academic), if required.

English Language Test Scores

International applicants whose native language is not English must submit one of the following official English language test scores. Some international applicants may be considered for an English test requirement waiver.

TOEFL: 79
IELTS: 6.5
PTE Academic: 56

Faculty

Robert Parody: Associate Professor
Ernest Fokoue: Professor

Research

The College of Science consistently receives research grant awards from organizations that include the National Science Foundation, National Institutes of Health, and NASA, which provide you with unique opportunities to conduct cutting-edge research with our faculty members.

Faculty in the School of Mathematics and Statistics conducts research on a broad variety of topics including:

applied inverse problems and optimization
applied statistics and data analytics
biomedical mathematics
discrete mathematics
dynamical systems and fluid dynamics
geometry, relativity, and gravitation
mathematics of earth and environment systems
multi-messenger and multi-wavelength astrophysics

Contact

Lindsay Lewis: Senior Assistant Director, Office of Graduate and Part-Time Enrollment Services
Teresa Gibson: Director, Applied Statistics MS Program, School of Mathematics and Statistics, College of Science

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