Statistics, B.S.
Contact
Ryan Hedstrom
Assistant Academic Director, School of Mathematics and Data Science
rhedstrom@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.
Transfer Credit
See Undergraduate Admissions for more information.
Admissions
See Undergraduate Admissions for more information.
Financial Information
Tuition and fees for subsequent years may vary. Other expenses include books and housing. For more tuition and fee information, please consult this catalog’s Financial Information section.
Curricular Requirements
| Code | Title | Hours |
|---|---|---|
| Nor'easter Core Requirements | ||
| Nor'easter Core Requirements | 40 | |
| Program Required Courses | ||
| 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 195 | Calculus II | 4 |
| MAT 200 | Calculus III | 4 |
| MAT 220 | Linear Algebra | 3 |
| STS 210 | Principle of Study Design | 3 |
| STS 220 | Probability | 3 |
| STS 250 | Statistical Methods I: Linear Models | 3 |
| or MAT 323 | Applied Regression Analysis | |
| STS 280 | Statistical Computing | 3 |
| STS 320 | Statistical Inference | 3 |
| STS 350 | Statistical Methods II | 3 |
| STS 470 | Technical Skills for Statisticians | 3 |
| STS 480 | Statistical Consulting and Research | 3 |
| Select Three of the Following Courses (at least one needs to have an STS subject code): | 9 | |
| Intro to Database Design/SQL | ||
| Deep Learning | ||
| Data Mining | ||
| Time Series Analysis | ||
| Bayesian Methods | ||
| Stochastic Process | ||
| Open Elective Courses (Students complete open elective credits as necessary to meet the University’s 120-credit minimum for graduation. The total number of elective credits required will depend on the student’s completed program, core, and other degree requirements.) | 20 | |
| Total Hours | 120 | |
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.
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 Statistics Minor visualization.
- Use professional statistical practice for the creation of compelling written, oral, and visual repots, and to incorporate ethical considerations as an integral component.