Statistics

Overview

A major

You watch a viral video of a daredevil’s bid for fame and assess the probability of the stunt’s successful conclusion – it’s just part of your nature. You appreciate that mathematics and statistics are a universal language understood throughout the world.

Mathematics and statistics are also the foundation for an array of careers. Whether you analyze marketing data, set up the experimental design for clinical trials of a new drug, or work in government, the Bachelor of Science with a major in Applied Mathematics and Statistics provides you with a range of skills and the broad knowledge required to solve real-world problems through the application of mathematical principles.

As an Applied Mathematics and Statistics major, you are also eligible to earn the SAS® Certificate in data mining by taking four specific courses from your list of seven major electives. Bryant is among only 18 universities worldwide to offer this joint program approved by the SAS Institute.

Future careers, post-grad opportunities

Upon graduating, you will be equipped to enter careers in government agencies and consulting firms, or you could work as a financial analyst, statistical analyst, or financial consultant. You will also be well prepared to pursue a graduate degree in mathematics, statistics, or economics.

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Requirements

For a major:

First-Year Gateway Experience

Global Foundations of Character and Leadership (GFCL100)

Global Foundations of Organizations and Business (GFOB100)

Writing Workshop (WRIT106)

Bryant IDEA: Innovation and Design Experience for All (IDEA101)

 

Upper-Level Gateway Course

 

Applied Mathematics and Statistics Major Requirements

Actuarial Statistics I (AM230)

Actuarial Statistics II (AM231)

Capstone Seminar in Applied Mathematics and Statistics (MATH490)

Choose seven (7) of the following electives for the Applied Mathematics and Statistics Major:

  • Actuarial Statistics III (AM332) or Statistics II (MATH350)
  • Advanced Probability (AM333)
  • Mathematical Interest Theory I (AM340)
  • Mathematics of Finance, Insurance, and Pensions (AM341)
  • Mathematical Interest Theory II (AM342)
  • Econometrics (ECO315)
  • Discrete Structures (MATH228)
  • Software Applications in Mathematics (MATH354)
  • SAS Programming and Applied Statistics (MATH455)
  • Applied Data Mining (MATH460)
  • Applied Analytics Using SAS (MATH475)
  • Elementary Number Theory (MATH409)
  • Statistical and Mathematical Decision Making (MATH456)
  • Applied Multivariate Statistics (MATH461)
  • Statistical Design and Analysis of Experiments (MATH470)
  • Special Topics in Mathematics (MATH485)
  • Directed Study in Mathematics (MATH497)

Students who choose MATH455, MATH460, MATH461, and either MATH475 or MATH470 may earn SAS ® certification in data mining.

Liberal Arts Core Requirements

Microeconomic Principles (ECO113)

Macroeconomic Principles (ECO114)

Introduction to Literary Studies (LCS121)

Calculus and Analytic Geometry I (MATH121)

Calculus and Analytic Geometry II (MATH122)

Linear Algebra (MATH226)

Two (2) Humanities Survey Courses

Liberal Arts Distributions – Modes of Thought

Two (2) Social Science Modes of Thought

One (1) Historical Mode of Thought (Upper Division)

One (1) Literary Mode of Thought (Upper Division)

One (1) Cultural Mode of Thought

Two (2) Scientific Modes of Thought (Include One Lab Science)

(One science course must be taken at the 300 or 400 level)

Business Administration Minor Requirements

Principles of Financial Accounting (ACG203)

Introduction to Information Technology and Analytics (CIS201)

Financial Management (FIN201)

Management Principles and Practice (MGT200)

Foundations of Marketing Management (MKT201)

Electives  - Subject to programmatic constraints, students may elect to take additional business courses, not to exceed a combined total of 30 credit hours in the College of Business.

A minimum of 122 credit hours is required for graduation.

Request info

To learn more, please contact:
Alan Olinsky, Ph.D.
Professor of Mathematics and Computer Information Systems
aolinsky@bryant.edu

STATISTICAL PROWESS

Alan Olinsky, Ph.D. 
Professor of Applied Mathematics and Statistics

“Mathematics and statistics are essential for the proper running of government, central to decision-making in industry, and an important component of modern educational curricula,” says Olinsky.

This well-published professor has tackled subjects ranging from “Data Mining for Health Care Professionals: MBA Course Projects Resulting in Hospital Improvements” in the International Journal of Business Intelligence Research to presenting on “The Forgotten Power of a Test” at a Northeast Decision Sciences Institute Annual Conference.

Among many honors, Olinsky is the recipient of the Bryant Faculty Federation Faculty Member Award in Recognition of Dedication to Scholarship, Love of Teaching, and Commitment.

CERTIFIED DATA ANALYST

Colleen Johnson '12 
Studied: Applied Mathematics and Statistics, Finance

Other students might overlook Applied Math and Statistics, but I thoroughly enjoyed the courses.

At Bryant, I have been able to learn multiple statistical analysis programs, and thanks to the school’s connection with the SAS Institute, a leader in business analytics, I have been able to become certified in data mining.

My best experience was working on my Capstone Project, going through every step of the data analysis process. Phyllis Schumacher, Ph.D., and Alan Olinsky, Ph.D., are two of the best professors. They provided me with wonderful guidance and insight throughout my college career.