Careers and Opportunities
Mathematics, statistics, and data science are 鈥減ortable鈥 degrees: you build skills in modeling, computation, and careful reasoning that apply across many industries and to graduate/professional study.
This page focuses on stable resources and common pathways. For forms, deadlines, and other frequently updated information, see the .
Start Here
Career advising, internships, jobs, recruiting, resumes.- External Scholarships & Undergraduate Research Center (ESURC)
Undergraduate research, scholarships, and funding opportunities.
Advising, degree planning, petitions, local guidance (dynamic).
Common Directions After Graduation
Data science, statistics, and analytics
Typical roles: data analyst, statistical analyst, entry-level data scientist, BI/analytics,
research assistant, quantitative roles in many fields.
A strong pathway is the Data Science & Statistics track:
Actuarial science and risk
Typical roles: actuarial analyst, risk analyst, insurance analytics, pensions/retirement, healthcare analytics.
See the track page:
Professional advancement typically involves actuarial exams; the main professional society is:
Mathematics and quantitative careers
Typical directions: operations research, quantitative finance, modeling/simulation, software/engineering-adjacent roles, graduate study.
See the track page:
Teaching pathway
If you are considering teaching mathematics, start with:
Experiences That Make Applications Strong
These are the 鈥渉igh-signal鈥 items employers and graduate programs tend to value:
- Projects with real data or real problems
(course projects, independent study, research, internships) - Computing and communication
(clear writing, presentations, reproducible code) - One sustained experience (a semester or a summer)
rather than many small, disconnected items
Useful starting points:
- Research and scholarships: ESURC
- Internships/jobs and recruiting:
National Career Resources
Next Step Checklist
- Pick one direction to explore first (actuarial / data / grad school / teaching / other).
- Have one career conversation (Fleishman) and one academic conversation (advising).
- Choose one experience to pursue this term (project, research, internship search, or exam plan).
- Keep a one-page running document: skills, projects, and what you learned (it becomes your resume content).