The aim of this degree is to provide students with technical skills and knowledge for rigorously investigating physical and social phenomena. The BS is a transformative approach that integrates science at George Mason University based on the combination of real-world computer science skills, data acquisition and analysis, scientific modeling, applied mathematics, and simulation. As an interdisciplinary STEM-designated program, this degree addresses the current central role of computation in the areas of “big data,” modeling, and simulation.

What it costs:

(Only need if any fees are different from standard undergraduate tuition rates:

Application Deadline

Only need if different from Undergraduate Admissions deadlines:

Request Info

Program Summary

100 Percent Online

Program: Computational and Data Sciences, BS

Degree: Undergraduate

College/School: College of Engineering and Computing

Credits: 120 total

Who should apply?

Students who are interested in quantitative analysis and reasoning, want a career in data analysis and strategy, have skills in computing, pattern recognition.

Why choose George Mason?

Specific to this program: Graduates of the program will possess the computational, scientific, and mathematical skills necessary for participating effectively as members of the scientific simulation and data analysis groups that are of increasing importance in the federal and public sectors, and in high technology firms. Additionally, graduates of the program will be well prepared to pursue graduate studies.

Various course and lab fees may be assessed depending on the course(s) in which the student is enrolled. Please refer to the Students Accounts Office website for more information on tuition and fees.

For information on loans and scholarships, visit the Office of Student Financial Aid. For information regarding grants, tuition waivers and other merit aid, please inquire with your graduate department. Additionally, your current employer may provide tuition reimbursement opportunities for graduate studies.

  1. Data Scientist
  2. Analyst
  3. Researcher

Program contact:

Program website:

Department/College contact/website:

Application Materials