CMDA Future Students

CMDA_Program

CMDA students learn to be dynamic problem solvers who can work collaboratively in interdisciplinary teams.  Modern computational science draws on a variety of expertise. Our students get a great deal of experience practicing these skills, particularly in the CMDA Capstone Project course. Teams of CMDA majors spend the semester tackling an interesting data/modeling problem presented from a client (elsewhere on campus, or in industry). Examples of this year's projects include:

  • Russian flu outbreak: a historical analysis of the morbidity and mortality of the 1889 epidemic
  • Measuring the impact of Open Source Software on innovation
  • Effectiveness of digital marketing campaigns for VT Athletics
  • Gaining understanding of Medical Deserts on the DC metro area

The CMDA requirements give students the flexibility to dive deeply into a particular area through choice of electives, a disciplinary track, or a minor or double major. Possibilities include a CMDA-Physics track and a CMDA-Economics track.

Ultimately, our program is for anyone who seeks to better understand the world through data and computation.


What kind of jobs will CMDA majors qualify for?

  • analytics for sports teams or internet/social media companies
  • consulting in defense/space/homeland security
  • modeling in the oil/gas/alternative energy sector
  • data analysis for medical/pharmaceutical firms
  • quantitative modeling in finance/insurance
  • a host of other possibilities!

Want to visit?

Our Academy Ambassadors are excited to assist you in your college exploration process!  We have a variety of options available:

  • Chat with an advisor by emailing Charlotte at crobrtz@vt.edu.  In-person appointments are also available!
  • Talk with a student ambassador by emailing academyambassadors@vt.edu 
  • Schedule a shadow day by signing up at this link.

What's your science?

CMDA students discuss why they chose this program

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Hannah Looney talks about how she was driven to major in Computational Modeling and Data Analytics (CMDA).

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Patrick Gibson talks about how he became interested in Computational Modeling and Data Analytics (CMDA).

CMDA Peer Profiles