Data empowers us to make better decisions. 

Data scientists combine statistical knowledge, programming skills, domain area expertise, and ethical considerations to make insightful decisions.

The minor in statistics and data science is intended to benefit students in a wide range of majors who are interested in learning to analyze data. It is flexible by design and allows students to take courses that connect statistical techniques to fields they are interested in.

Life After Lawrence

Lawrentians enjoy careers in...

  • Actuarial science
  • Data analytics
  • Consulting
  • Public health
  • Software development
  • Business & Management

Lawrentians earn advanced degrees in...

  • Statistics / data science

  • Applied mathematics

  • Operations research

  • Biostatistics

  • Applied sciences

 

Learn programming with real-world applications

Learn to program using statistical software to analyze complex real-world data.

Broaden your perspective

Get a different way of looking at major social challenges and questions.

Explore your interests using data

Implement statistical techniques in the fields and majors that interest you.

Think differently about the future

Complete projects using statistical models to predict real-world phenomena.

The Statistics and Data Science Minor Curriculum

Two core courses:

  • CMSC/STAT 205: Data-Scientific Programming
  • STAT 255: Statistics for Data Science

Two statistics and data science electives from the list of:

  • CMSC/STAT 208: Machine Learning
  • CMSC/STAT 405: Advanced Data Computing
  • STAT 450: Bayesian Statistics
  • STAT 455: Advanced Statistical Modeling
  • Two additional courses in an area of focus such as economics, biology, psychology, government, computer science, statistical theory.

Course descriptions and more courses

Faculty

  • Abhishek Chakraborty
     
    Assistant Professor of Statistics
    Campus Phone: 920-832-7141
    Education: St. Xavier's College (Kolkata), B.Sc.; IIT Kanpur, M.Sc.; Iowa State University, Ph.D.
    Interests: Statistical Learning, Statistics Pedagogy
    Campus Address: Briggs Hall Room 407 Mathematics
    Years at Lawrence: 2019-
  • Joseph N. Gregg
     
    Associate Professor of Computer Science
    Campus Phone: 920-832-6736
    Education: Texas A&M University, B.S., M.S.; Princeton University, Ph.D.
    Interests: architecture of large software systems, software for math education, complex systems
    Campus Address: Briggs Hall Room 413 Mathematics
    Years at Lawrence: 1991-
  • Kurt Krebsbach
    Kurt Krebsbach Profile Picture
    Professor of Computer Science
    Campus Phone: 920-832-6573
    Education: Lawrence University, B.A.; University of Minnesota, M.S., Ph.D.
    Interests: artificial intelligence, automated planning, multi-agent systems, functional programming, music, zymurgy
    Campus Address: Briggs Hall Room 411 Mathematics
    Website: http://www.lawrence.edu/fast/krebsbak/
    CV: http://www.lawrence.edu/fast/krebsbak/Resume/current-resume.pdf
    Years at Lawrence: 2002-
  • Andrew J. Sage
    Andrew J. Sage Profile Picture
    Assistant Professor of Statistics
    Campus Phone: 920-832-6523
    Education: College of Wooster, B.A.; Miami University, M.S.; Iowa State University, M.S., Ph.D.
    Interests: applied statistics, statistical machine learning, statistics education
    Campus Address: Briggs Hall Room 417 Mathematics
    Website: https://andrewjsage.github.io/
    Years at Lawrence: 2018-