Degree
Statistics, B.S.Contact
Hongming Wang, Ph.D.
Associate Director, School of Computer Science and Data Analytics
hwang7@une.edu
Mission
Graduates of the Bachelor of Science with a major in Statistics program will develop a wide range of discipline-related skills that will prepare them well for employment. These include: the ability to understand and interpret data; apply methods for collecting, processing, modeling, and analyzing data; analyze data to inform decision-making, understand patterns, draw inferences and make predictions about populations based on representative samples, often in the face of uncertainty; and recognize and adhere to social, moral and ethical standards.
Program Description
The Statistics program focuses on the application of statistics to problems in the sciences and other fields. This program recognizes evolving field-specific needs and the increasing role and importance of simulation, computation, data sets, reproducible work flows, flexible approaches, ethical issues, and the emergence of data science. This program combines a strong foundation in the mathematical basis for statistical techniques with computational approaches.
Program Goals
The Statistics program will:
- Equip students with professional skills in the development and use of analytical and computational tools for understanding and making evidence-based decisions informed by data.
- Prepare students for careers as statisticians in a wide range of fields.
Curricular Requirements
| Nor’easter Core Requirements | Credits |
|---|---|
| Total Credits | 40 |
| Program Required Courses | Credits |
|---|---|
| DSC 130 – Exploring Data | 3 |
| DSC 260 – Data Visualization | 3 |
| DSC 344 – Machine Learning | 3 |
| MAT 150 – Statistics for Life Sciences | 3 |
| MAT 190 – Calculus I | 4 |
| MAT 202 – Series and Multivariate Calculus | 4 |
| MAT 220 – Linear Algebra | 3 |
| STS 210 – Principles of Study Design | 3 |
| STS 220 – Probability | 3 |
| STS 250 – Statistical Methods 1: Linear Models | 3 |
| STS 280 – Statistical Computing | 3 |
| STS 320 – Statistical Inference | 3 |
| STS 350 – Statistical Methods 2: Generalized Linear Models | 3 |
| STS 470 – Technical Skills for Statisticians | 3 |
| STS 480 – Statistical Consulting or Research | 3 |
| Total Credits | 47 |
| Select Three (3) of the Following Courses (at least one (1) needs to have an STS subject code) | Credits |
|---|---|
| DSC 301 – Introduction to Database Design | 3 |
| DSC 360 – Deep Learning | 3 |
| DSC 410 – Data Mining | 3 |
| STS 360 – Time Series Analysis | 3 |
| STS 400 – Bayesian Methods | 3 |
| STS 430 – Stochastic Process | 3 |
| Total Credits | 9 |
| Open Elective Courses (as needed to reach 120 credits) | Variable |
Please note: While some courses can fulfill both core and program requirements, the credits earned do not count twice towards the minimum total required credits for the degree.
| Minimum Total Required Credits | 120 |
|---|
Learning Outcomes
Students completing the Bachelor of Science with a major in Statistics program will be able to:
- Build, deploy, and evaluate a variety of effective statistical models and inference procedures.
- Use statistical theory and simulation-based techniques for analysis and model interrogation.
- Use statistical programming, computation, and data engineering for effective processing, analysis, and reproducible workflows.
- Develop effective tools for data exploration, cleaning, validation, and visualization.
- Use professional statistical practice for the creation of compelling written, oral, and visual repots, and to incorporate ethical considerations as an integral component.
Transfer Credit
Transferred mathematics courses must be reasonably close in scope and content to the mathematics courses offered at UNE in order to count as exact equivalents. Otherwise, they will transfer as general electives.
All science/math courses previously completed must be no older than five (5) years.
Transfer students will be accepted beginning Fall 2026.
Admissions
See undergraduate admissions for more information.
Tuition and Fees
Tuition and fees for subsequent years may vary. Other expenses include books and housing. For more information regarding tuition and fees, please consult the Financial Information section of this catalog.
Notice and Responsibilities Regarding this Catalog
This catalog outlines the academic programs, degree criteria, policies, and events of the University of New England for the 2025–2026 academic year and serves as the official guide for academic and program requirements for students enrolling at the University during the Summer of 2025, Fall 2025, and Spring 2026 semesters.
The information provided is accurate as of its publication date on April 30, 2025.
The University of New England reserves the right to modify its programs, calendar, or academic schedule as deemed necessary or beneficial. This includes alterations to course content, class rescheduling, cancellations, or any other academic adjustments. Changes will be communicated as promptly as possible.
While students may receive guidance from academic advisors or program directors, they remain responsible for fulfilling the requirements outlined in the catalog relevant to their enrollment year and for staying informed about any updates to policies, provisions, or requirements.