Master in Computation and Neural Systems

California Institute of Technology (Caltech) in Pasadena is internationally renowned for its focus on science and engineering and for a research environment that emphasizes discovery and innovation. Founded in 1891, Caltech combines small class sizes with world-class faculty and a culture that encourages independent inquiry. The institute’s achievements in fundamental research and technology transfer make it a top choice for students seeking an intensive STEM education and close mentorship from leading scholars.

Caltech offers a compact, high-impact academic setting where undergraduates and graduate students participate directly in cutting-edge projects across physics, biology, engineering and computation. Research opportunities are abundant and accessible, with students contributing to labs, observatories and centers that address global challenges. The collaborative, interdisciplinary approach cultivates both deep technical expertise and the ability to work across fields.

As a relatively small campus community, Caltech provides strong academic support, mentorship and networking in the greater Los Angeles research ecosystem. For international students drawn to rigorous STEM training, Caltech delivers concentrated resources, hands-on research experiences and pathways to meaningful scientific contribution in industry, academia and public service.

The Master in Computation and Neural Systems at California Institute of Technology is a 2-year program for students who want to pursue a Ph.D. in this field. It's a Master's degree that combines computation and neural systems, helping students gain a broad knowledge of molecular, cellular, and systems biology.

The curriculum covers aspects of cognitive neuroscience, computational biology, and computer science. Students will develop skills in information and learning theory, emergent or collective systems, and electrical engineering. They will also work on a master's thesis and receive a candidacy examination oral committee recommendation.

Graduates of this program can pursue careers as Research Scientists, Neuroscience Engineers, Data Analysts, or Software Developers. They can work in industries like biotechnology, pharmaceuticals, or medical devices, and be employed by companies like Google, Microsoft, or NASA.