Program Overview

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Applied Statistics and Data Analytics Bachelor of Science Degree

Overview

The Applied Statistics and Data Analytics Bachelor of Science Degree program at RIT provides students with a strong foundation in statistical methods, computing tools, and real-world applications. The program prepares students for careers in business, government, and industry, as well as advanced graduate studies.

Why Study Applied Statistics and Data Analytics at RIT

• Career Connections: Network with recruiters from National Labs and federally-funded Research Centers to explore co-op, internship, research, and full-time employment opportunities.
• Gain Work Experience: Complete a co-op or internship, engage in undergraduate research, or study abroad to gain real-world experience.
• Jobs at Industry Leading Companies: Recent graduates are employed at Freehold Capital Management, Qool Media, Excellus BlueCross BlueShield, 3M, and General Electric.
• A Robust Community: Join PiRIT, a student club that fosters a community of students and faculty in mathematics and statistics.
• Accelerated Bachelor’s/Master’s Available: Earn both your bachelor’s and your master’s in less time and with a cost savings, giving you a competitive advantage in your field.
• 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.

What is Applied Statistics?

Applied statistics is data analysis. It’s managing, analyzing, interpreting, and drawing conclusions from data in order to make sound decisions in a wide range of fields, including engineering, business, health care, government, retail and commercial enterprises, and more. In applied statistics, you’ll use data to identify problems and through the analysis of this data, determine solutions and opportunities.

RIT’s Bachelor of Science in Applied Statistics and Data Analytics

Early courses in the statistics bachelor's degree are designed to give you a foundation in calculus, statistics, algebra, and computer science. You will graduate with:

• A strong foundation in statistical methodology and experience in its applications
• A solid background in the use of statistical computing packages
• The skills to collaborate on projects that rely on statistical analysis.

Furthering Your Education in Applied Statistics

Graduate programs offered by the School of Mathematics and Statistics introduce students to rigorous advanced applied mathematical and statistical methodology. Students realize the potential for that cutting-edge methodology as a general tool in the study of exciting problems in science, business, and industry.

Combined Accelerated Bachelor’s/Master’s Degrees

Today’s careers require advanced degrees grounded in real-world experience. RIT’s Combined Accelerated Bachelor’s/Master’s Degrees enable you to earn both a bachelor’s and a master’s degree in as little as five years of study, all while gaining the valuable hands-on experience that comes from co-ops, internships, research, study abroad, and more.

• Applied Statistics and Data Analytics BS/Applied and Computational Mathematics MS: Combine your applied statistics and data analytics BS degree with a master’s in applied and computational mathematics to obtain a deep knowledge of mathematical and statistical analysis that employers are looking for. These complementary programs prepare graduates for careers in a broad spectrum of industries from health care to insurance to communications and beyond. Get the background you need in mathematics and statistics coupled with the applied training that will set you apart in computing, modeling, and analysis to launch a career in an industry that excites you.
• Applied Statistics and Data Analytics BS/Applied Statistics MS: Become a statistics professional with this combined accelerated dual degree. You’ll study statistical methodology, applications, and computing that you can apply to an industry that interests you such as insurance, government, health care, and more. With employment opportunities for statisticians continuing to grow, graduates of this degree pathway go on to excellent job placements with great starting salaries at companies like Excellus, Regeneron Pharmaceuticals, L3Harris, and Capital One, just to name a few.
• +1 MBA: Students who enroll in a qualifying undergraduate degree have the opportunity to add an MBA to their bachelor’s degree after their first year of study, depending on their program. Learn how the +1 MBA can accelerate your learning and position you for success.

Advanced Degrees in Mathematics and Analytics

Students in the applied mathematics bachelor’s degree are exposed to rigorous advanced applied mathematical and statistical methodology as a tool in the study of exciting problems in science, business, and industry. Many undergraduate students choose to continue their education with one of RIT's advanced degrees in mathematics or analytics:

• Advanced Certificate in Applied Statistics
• Advanced Certificate in Big Data Analytics
• MS in Applied Statistics
• MS in Applied and Computational Mathematics
• MS in Business Analytics
• MS in Data Science
• Ph.D. in Mathematical Modeling

Curriculum

Applied Statistics and Data Analytics, BS degree, typical course sequence

• First Year
  • ISCH-110: Principles of Computing (General Education)
  • MATH-181: Calculus I (General Education – Mathematical Perspective A)
  • MATH-182: Calculus II (General Education – Mathematical Perspective B)
  • MATH-199: Mathematics and Statistics Seminar
  • YOPS-10: RIT 365: RIT Connections
  • General Education – Elective
  • General Education – First-Year Writing (WI)
  • General Education – Ethical Perspective
  • General Education – Artistic Perspective
  • General Education – Natural Science Inquiry Perspective†
  • General Education – Scientific Principles Perspective†
• Second Year
  • MATH-200: Discrete Mathematics and Introduction to Proofs
  • MATH-251: Probability and Statistics (General Education)
  • MATH-399: Mathematical Science Job Search Seminar
  • Choose one of the following:
    • MATH-221: Multivariable and Vector Calculus (General Education)
    • MATH-221H: Honors Multivariable and Vector Calculus (General Education)
  • Choose one of the following:
    • MATH-241: Linear Algebra
    • MATH-241H: Honors Linear Algebra
  • STAT-257: Statistical Inference
  • General Education – Immersion 1, 2
  • General Education – Global Perspective
  • General Education – Social Perspective
  • General Education – Elective
• Third Year
  • STAT-305: Regression Analysis
  • STAT-325: Design of Experiments (WI-PR)
  • Program Electives‡
  • General Education – Immersion 3
  • General Education – Elective
• Fourth Year
  • STAT-405: Mathematical Statistics I
  • STAT-406: Mathematical Statistics II
  • STAT-500: Senior Capstone in Statistics (WI-PR)
  • STAT-501: Experiential Learning Requirement in Statistics
  • General Education – Immersion 3
  • Program Electives‡
  • Open Electives
  • General Education – Electives

Combined Accelerated Bachelor's/Master's Degrees

Applied Statistics and Data Analytics, BS degree/Applied and Computational Mathematics (thesis option), MS degree, typical course sequence

• First Year
  • ISCH-110: Principles of Computing (General Education)
  • MATH-181: Calculus I (General Education – Mathematical Perspective A)
  • MATH-182: Calculus II (General Education – Mathematical Perspective B)
  • MATH-199: Mathematics and Statistics Seminar
  • YOPS-10: RIT 365: RIT Connections
  • General Education – Elective
  • General Education – First-Year Writing (WI)
  • General Education – Ethical Perspective
  • General Education – Artistic Perspective
  • General Education – Natural Science Inquiry Perspective†
  • General Education – Scientific Principles Perspective†
• Second Year
  • MATH-200: Discrete Mathematics and Introduction to Proofs
  • MATH-251: Probability and Statistics (General Education)
  • MATH-399: Mathematical Science Job Search Seminar
  • Choose one of the following:
    • MATH-221: Multivariable and Vector Calculus (General Education)
    • MATH-221H: Honors Multivariable and Vector Calculus (General Education)
  • Choose one of the following:
    • MATH-241: Linear Algebra
    • MATH-241H: Honors Linear Algebra
  • STAT-257: Statistical Inference
  • General Education – Immersion 1, 2
  • General Education – Global Perspective
  • General Education – Social Perspective
  • General Education – Elective
• Third Year
  • STAT-305: Regression Analysis
  • STAT-325: Design of Experiments (WI-PR)
  • Open Electives
  • General Education – Immersion 3
  • Program Electives‡
• Fourth Year
  • MATH-606: Graduate Seminar I
  • MATH-607: Graduate Seminar II
  • STAT-405: Mathematical Statistics I
  • STAT-406: Mathematical Statistics II
  • STAT-500: Senior Capstone in Statistics (WI-PR)
  • STAT-501: Experiential Learning Requirement in Statistics
  • Math Graduate Core Courses
  • General Education – Electives
  • Open Elective
• Fifth Year
  • MATH-790: Research & Thesis
  • Math Graduate Electives

Applied Statistics and Data Analytics, BS degree/Applied and Computational Mathematics (project option), MS degree, typical course sequence

• First Year
  • ISCH-110: Principles of Computing (General Education)
  • MATH-181: Calculus I (General Education – Mathematical Perspective A)
  • MATH-182: Calculus II (General Education – Mathematical Perspective B)
  • MATH-199: Mathematics and Statistics Seminar
  • YOPS-10: RIT 365: RIT Connections
  • General Education – Elective
  • General Education – First-Year Writing (WI)
  • General Education – Ethical Perspective
  • General Education – Artistic Perspective
  • General Education – Natural Science Inquiry Perspective†
  • General Education – Scientific Principles Perspective†
• Second Year
  • MATH-200: Discrete Mathematics and Introduction to Proofs
  • Choose one of the following:
    • MATH-221: Multivariable and Vector Calculus (General Education)
    • MATH-221H: Honors Multivariable and Vector Calculus (General Education)
  • Choose one of the following:
    • MATH-241: Linear Algebra
    • MATH-241H: Honors Linear Algebra
  • MATH-251: Probability and Statistics (General Education)
  • MATH-399: Mathematical Science Job Search Seminar
  • STAT-257: Statistical Inference
  • General Education – Immersion 1, 2
  • General Education – Global Perspective
  • General Education – Social Perspective
  • General Education – Elective
• Third Year
  • STAT-305: Regression Analysis
  • STAT-325: Design of Experiments (WI-PR)
  • Open Electives
  • General Education – Immersion 3
  • Program Electives‡
• Fourth Year
  • MATH-606: Graduate Seminar I
  • MATH-607: Graduate Seminar II
  • STAT-405: Mathematical Statistics I
  • STAT-406: Mathematical Statistics II
  • STAT-500: Senior Capstone in Statistics (WI-PR)
  • STAT-501: Experiential Learning Requirement in Statistics
  • Math Graduate Core Courses
  • General Education – Electives
  • Open Elective
• Fifth Year
  • MATH-790: Research & Thesis
  • Graduate Electives

Applied Statistics and Data Analytics, BS degree/Applied Statistics, MS degree, typical course sequence

• First Year
  • ISCH-110: Principles of Computing
  • MATH-181: Calculus I (General Education – Mathematical Perspective A)
  • MATH-182: Calculus II (General Education – Mathematical Perspective B)
  • MATH-199: Mathematics and Statistics Seminar I
  • YOPS-10: RIT 365: RIT Connections
  • General Education – Elective
  • General Education – First-Year Writing (WI)
  • General Education – Ethical Perspective
  • General Education – Artistic Perspective
  • General Education – Natural Science Inquiry Perspective†
  • General Education – Scientific Principles Perspective†
• Second Year
  • MATH-200: Discrete Mathematics and Introduction to Proofs
  • MATH-251: Probability and Statistics
  • MATH-399: Mathematical Science Job Search Seminar
  • STAT-257: Statistical Inference
  • Choose one of the following:
    • MATH-221: Multivariable and Vector Calculus (General Education)
    • MATH-221H: Honors Multivariable and Vector Calculus (General Education)
  • Choose one of the following:
    • MATH-241: Linear Algebra
    • MATH-241H: Honors Linear Algebra
  • General Education – Global Perspective
  • General Education – Social Perspective
  • General Education – Elective
  • General Education – Immersion 1
  • Open Elective
• Third Year
  • STAT-641: Applied Linear Models - Regression
  • STAT-642: Applied Linear Models - ANOVA
  • General Education – Immersion 2,3
  • General Education – Electives
  • Program Electives‡
• Fourth Year
  • STAT-405: Mathematical Statistics I
  • STAT-406: Mathematical Statistics II
  • STAT-500: Senior Capstone in Statistics (WI-PR)
  • STAT-501: Experiential Learning Requirement in Statistics
  • Program Electives‡
  • Statistics Graduate Elective
  • General Education – Electives
  • Open Electives
• Fifth Year
  • STAT-631: Foundations of Statistics
  • STAT-790: Capstone Thesis/Project
  • Statistics Graduate Electives

Admissions and Financial Aid

This program is STEM designated when studying on campus and full time.

First-Year Admission

First-year applicants are expected to demonstrate a strong academic background that includes:

• 4 years of English
• 3 years of social studies and/or history
• 4 years of mathematics is required and must include algebra, geometry, algebra 2/trigonometry, and pre-calculus. Calculus ispreferred.
• 2-3 years of science is required and must include chemistryor physics; both arerecommended.

Transfer Admission

Transfer applicants should meet these minimum degree-specific requirements:

• A minimum of precalculus is required. Calculus ispreferred
• Chemistry or physics is required.

Faculty

• Robert Parody
• Carol Marchetti
• Linlin Chen

Research

Undergraduate Research Opportunities

Many students join research teams and engage in research projects starting as early as their first year. Participation in undergraduate research leads to the development of real-world skills, enhanced problem-solving techniques, and broader career opportunities. Our students have opportunities to travel to national conferences for presentations and also become contributing authors on peer-reviewed manuscripts. Explore the variety of mathematics and statistics undergraduate research projects happening across the university.