Computation and Neural Systems
The Computation and Neural Systems Master of Science program at the University of Caltech offers an interdisciplinary academic experience that blends computational modeling, neuroscience, and quantitative analysis. The curriculum provides students with a deep understanding of how biological neural systems process information, make predictions, and adapt to dynamic environments. Through advanced coursework in neural computation, systems modeling, and machine learning, the program encourages learners to analyze complex biological data using methods grounded in scientific accuracy. This structure supports the development of strong analytical skills essential for studying neural mechanisms from both theoretical and computational perspectives.
Caltech’s collaborative research atmosphere allows students to work closely with experts in chemistry, biology, engineering, and computational science, enhancing both their technical abilities and scientific intuition. Students gain hands-on experience with experimental datasets, simulation tools, and algorithmic frameworks that reveal how neural circuits encode, transform, and interpret information. Access to cutting-edge laboratories and advanced analytical tools supports inquiry-driven learning, enabling students to develop research projects that integrate mathematical modeling with biological insight. With this approach, graduates strengthen their understanding of neural dynamics and build a foundation for impactful contributions to computational neuroscience.
Key information
Key Facts
- Program Title: Computation and Neural Systems
- Degree Type: Master of Science
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Application Deadline: 01 December 2025
- Location: California Institute of Technology (Caltech), United States
- Field of Study: Chemistry
- Language of Instruction: English
Program Structure
• Semester 1 – Foundations in Neural Computation
- Principles of Neuroscience
- Computational Modeling of Neural Systems
- Probability, Statistics, and Data Methods
- Machine Learning for Neural Data Analysis
• Semester 2 – Advanced Neural Systems & Research
- Neural Signal Processing and Coding
- Chemical and Molecular Basis of Neural Activity
- Systems Neuroscience and Network Modeling
- Research Project / Applied Computational Neuroscience
Career Opportunities
Graduates of this program develop strong computational and analytical skills, which makes them valuable in a wide range of scientific and technology-driven fields. Many pursue roles in neuroscience research centers, biotechnology companies, data science groups, and computational biology laboratories, where the ability to interpret complex biological data is essential. Their training enables them to work on projects involving neural modeling, algorithm development, biomedical data analysis, and the design of computational tools for understanding brain function. Industries focused on artificial intelligence, neurotechnology, cognitive systems, and biomedical engineering also value professionals who can integrate biological insight with advanced mathematical modeling. For those interested in academia, the program provides a strong foundation for doctoral studies in neuroscience, computational science, or related interdisciplinary fields, supporting future careers in advanced research, teaching, and scientific innovation.
Why Choose This Program
This program is an excellent option for students seeking an interdisciplinary education that combines rigorous computational training with practical scientific development, enabling them to explore how neural systems process and encode information. The University of Caltech offers a research-intensive environment enriched by expert faculty guidance, cutting-edge laboratory resources, and extensive opportunities for collaboration across scientific disciplines. Students gain valuable experience by analyzing real neural data, building mathematical models, and applying computational tools that reflect current research practices. The curriculum provides both flexibility and depth, encouraging specialization in areas such as neural dynamics, machine learning, or chemical signaling. With its emphasis on advanced scientific insight, precision, and innovative thinking, this program prepares graduates for impactful roles in research-intensive industries or for continued academic progression in highly competitive fields.
Contact Information
For further information, please contact the admissions office at:
Phone: +1 626 395 3000
Email: admissions@caltech.edu
Address: University of Caltech, 1200 East California Boulevard, Pasadena, CA 91125, United States
