UMass Dartmouth's Mathematics department offers both BA and BS degrees in mathematics with concentrations in applied statistics and applied & computational mathematics, as well as a degree in data science, taught jointly by the mathematics department and college of engineering.
With a core of courses covering randomness and reasoning under uncertainty, the applied statistics concentration emphasizes concepts, principles, and methodology needed for data analysis, decision making, and computing for applied problems that involve uncertainty.
You’ll learn in-depth skills in mathematics and statistics to work as an applied statistician in a variety of industries, government, or nonprofit agencies, or for graduate studies. You’ll also gain effective communication skills for the presentation of analysis or results.
BS degrees in mathematics
- degrees require completion of 120 credit hours of overall coursework
- take an additional 6 credits in natural science courses to earn the BS degree in mathematics
- humanities/social science requirements for the BS degree are a combined total of 18 credits
- BA degree in mathematics, you'll take an additional 3 credits in natural science courses
- humanities/social science requirements for the BA degree are a combined total of 21 credits
Our curriculum offers flexibility, allowing you to concentrate in your areas of interest. You'll have a wide selection of courses to choose from, including algebra, calculus, computational mathematics, geometry, probability, simulations, and statistics. You will learn to how to:
- Understand core mathematical skills
- Form logical arguments with correct reasoning
- Recognize connection between different areas of mathematics and understand relationships between ideas
For the major, you'll complete 59 credit hours in courses related to mathematics or physics, and 6 credits in English, 6 credits in Literature, and an additional 27 credits in upper level courses.
For the applied statistics concentration, you'll complete core courses Math US-5A and 5B, and 9 credits of recommended Mathematics (MTH), Computer Information Science (CIS), or Data Science (DSC) electives.
Enhance your career options by earning a minor in mathematics. You'll develop the analytical and problem-solving skills that are essential in many employment settings.
For the minor, you'll complete 24 credit hours.
Tiffany Ferreira welcomed newly accepted students to an "Experience UMassD" event.
Graduate School Placements
- Massachusetts Institute of Technology
- Stanford University
- Brown University
- University of Illinois—Chicago
- Michigan State University
- University of Massachusetts Dartmouth
- Tufts University
- Exxon Research and Engineering
- Schlumberger-Doll Research
- MathWorks, Inc
- Daniel H. Wagner Associates
- Boston Scientific
- Constellation Energy Grou
- Liberty Mutual
- Merck & Co., Inc.
- Biogen Idec
- Faculty mentors: engage in research projects with expert faculty mentors and present your work at national and international conferences
- New initiatives: collaborate, create, and explore at our IDEAStudio and the Center for Scientific Computing and Visualization Research
- Community: participate in our chapter of the Society for Industrial and Applied Mathematics or the student-led group, Mathematics and Physics Opportunities for Women in Research
- Honors College: take advanced courses, pursue research, and be part of a community of scholars
- Study Abroad: earn academic credits and gain a global perspective on your field
- Undergraduate Research: faculty work with students on cutting-edge research projects
- University Studies: gain the benefit of a broad university education to enhance your knowledge and skills
- Master of Science in Data Science: Through a joint initiative with the Computer and Information Science department, we will be offering a Master's degree in Data Science.
- PhD in Computational Science and Engineering: Earn an advanced degree in computational science through our Engineering and Applied Science program.
- PhD in Mathematics Education: Learn interdisciplinary perspectives in mathematics education research, Grades K-16.