Career Resources for Students


-Your university job board e.g Handshake

-NSF Mathematical Sciences Graduate Internship

Dept of Energy Internships (SULI)

National lab internships

ASA internships

-Network with friends and family – useful tips here.

Resumes & Interviews offers a wealth of great advice.

-To leverage teaching experience on your resume, see Sample Resume 2

Coding Skills

Programming in at least one language at a basic level is essential for BIG jobs. Good online courses are available:

Python Courses at Coursera

Data Science Courses at edX

Some are free and others require payment; some lead to certification while others do not. Read the reviews and be an informed “consumer”.

Job Search Process

-Visit your campus career office for an individual consultation.

-Go to career fairs.

-Create a LinkedIn profile.

-Make a Github site for code samples.

-Network with the alumni and the director of your program.

-Check out the BIG Jobs Guide for more advice.

More Resources…

  • BIG Jobs Guide: Business, Industry, and Government Careers for Mathematical Scientists, Statisticians, and Operations Researchers: Rachel Levy, Richard Laugesen, Fadil Santosa. Society for Industrial and Applied Mathematics, Philadelphia, PA, 2018. The Guide takes you step-by-step through your job search and includes practical checklists and advice from mathematical scientists in industry. The book offers specific guidance for mathematics, statistics and operations research majors.
  • Putting Your Science to Work: Practical Career Strategies for Scientists.Peter S. Fiske, American Physical Society, 2012.  This free online booklet includes interview advice and a summary of stereotypes held by academics about business people and by business people about academics.
  • Great Jobs for Math Majors. Stephen E. Lambert and Ruth J. DeCotis,  2nd edition.  McGraw-Hill Education, New York, NY, 2005. Aimed at undergraduate mathematics majors, this book offers practical job-hunting advice and anecdotes from professionals in a variety of fields.
  • She Does Math! Real-life problems from women on the job. Marla Parker, ed., Classroom Resource Materials Series. Mathematical Association of America, Washington, DC, 1995. Career histories are presented for 38 women, along with examples of mathematical problems solved by them in the course of their jobs.
  • How to Become a Data Scientist Before You Graduate. Anna Schneider, Berkeley Science Review (online). The author provides a lively, short practical guide to the ten things she did during graduate school in biophysics to prepare for a career in data science.
  • 101 Careers in Mathematics, 4th edition. Andrew Sterrett, ed., Mathematical Association of America, Washington, DC, 2014. Over 101 brief profiles are included of people who majored in the mathematical sciences and now work (mostly) in government and industry.
  • Build a Career in Data Science. Emily Robinson and Jacqueline Nolis. Manning Publications, Shelter Island, NY, 2019. “You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job, to the lifecycle of a data science project, and even how to become a manager.”
  • You’re Really Going to Ask Me That in an Interview? Part 1: Grad School Edition. Rachel Levy, Deputy Executive Director of Mathematical Association of America, discusses a personal anecdote on inappropriate interview questions and tips on interviewing for graduate schools.