The Bachelors Degree in Computational and Data Sciences at George Mason University is designed for students eager to investigate physical and social phenomena through rigorous, interdisciplinary STEM approaches. You will explore the critical role of computation in addressing "big data," modeling, and simulation challenges that define modern scientific inquiry. This program integrates computer science skills, data acquisition and analysis, scientific modeling, applied mathematics, and simulation, preparing you for a landscape where computational power is central to discovery and innovation. It is ideal for those seeking a strong foundation in quantitative methods and computational thinking.
You will study this program full-time on campus over four years, engaging with core courses such as Computing for Scientists, Data Ethics, Modeling and Simulation, Scientific Data Mining, and Scientific Data Visualization. The curriculum emphasizes practical application, with opportunities to select extended core courses in scientific programming, agent-based modeling, and machine learning applications, alongside multidisciplinary requirements in mathematics and statistics. You will graduate with the computational, scientific, and mathematical skills essential for roles in scientific simulation and data analysis groups within government, industry, and high-technology firms, or for further graduate studies.