A New Approach to Solving Complex Problems

Major: Computational Physics
Minor: Physics

By combining elements of computer science, physics, and mathematics, students majoring in computational physics gain the knowledge necessary to develop unique scientific solutions to complex, real world problems. As an interdisciplinary course of study, students majoring in computational physics benefit from a breadth of offerings, as well as from the flexibility that allows them to tailor their educational experience to their career goals. Students have worked with faculty to use machine learning to model economic systems, to perform music classification, and to analyze time series data from complex systems ranging from astrophysics to finance. Computational physicists are valued in both research and industrial fields.

Student Opportunities

  • Gain hands-on access to a plentiful inventory of cutting-edge physics instrumentation beginning freshman year
  • Acquire valuable research experience alongside faculty members.
  • Publish with faculty in research journals and present at professional conferences.
  • Utilize a faculty research lab, fully equipped with computers meant for solving problems in computational physics, modeling complex systems, and using machine learning.
  • Pursue a competitive internship for real-world experience.

Why Lycoming?

  1. Faculty research involves the use of machine learning to model complex systems.
  2. Full-time, tenured, Ph.D. faculty teach in low student-to-faculty ratio settings both in the classroom and the laboratory.
  3. Students have the opportunity to gain valuable teaching experience as a laboratory assistant or a course tutor.
  4. A tight-knit physics department with study groups and a healthy camaraderie supports students in their pursuit of a bachelor’s degree.