Computational Science & Engineering - STEM 5-year B.S./M.S.
Computational science and engineering graduates are coding the future. In Kean's computational science program, you'll acquire the knowledge and skills needed to develop groundbreaking software programs, apps and games.
Kean's computational science program offers a core curriculum in the first two years that integrates science and mathematics courses linked to problem-solving with hands-on laboratory courses designed to reinforce classroom instruction. You can earn both a bachelor's and a master's degree in just five years.
Kean computational science and engineering graduates pursue thriving careers in research and development, software, computing, web development, education and biotechnology, advancing science and society through their work.
Other programs you might be interested in
Research First Initiative
Freshman honors students choose a research track, join a faculty-led research team and conduct real-world experimental research as part of their STEM education.
Group Summer Scholars Research Program (GSSRP)
This six-week research experience pairs high school students with a faculty mentor to conduct scientific research
The Institute for Life Science Entrepreneurship
An incubator and accelerator for regional startup biotechnology companies doubles as a powerhouse for Kean students looking to launch biotech careers.
91%
Job placement rate for STEM students after graduation
$98,340
Median STEM salary compared to median U.S. annual income of $70,784
8
Options for Research First Initiatives
3D CAVE ™
The School of Integrative Science and Technology is home to a 3D Virtual Reality Computer Assisted Visual Enhancement (CAVE ™) system used in research projects and classroom activities. Wearing special goggles, participants experience an immersive 3D environment.
Generously funded by a National Science Foundation grant, Kean University was one of the first to offer access to this technology in the NY-NJ metropolitan area. Students working on CAVE ™ projects adapt game theory and programming to scientific problems.
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