California Institute Of Technology, California
Division of Biology and Biological Engineering
California Institute Of Technology, California
Division of Biology and Biological Engineering
24
Program Duration
Computational Science
Degree Type
2
Program Rank
Master of Computation and Neural Systems is one of the best courses to choose from that offers
in-depth learning in a Computational Science. An MS Degree in Computational Science from the
California Institute Of Technology has consistently made its place among the top global universities.
International students prefer this course at the California Institute Of Technology due to its high graduate
employability rate.
California Institute Of Technology offers exceptional education quality, high-end practical learning
and ample work opportunities to its international students. After receiving their MS
Degree in Computational Science from the California Institute Of Technology, students will be competent to
carry out extensive research work in the field.
The interactive curriculum, vast research opportunities and exceptional teaching
faculty at California Institute Of Technology offer students a life-altering learning experience. A
Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Computational Science from the California Institute Of Technology is
a great choice for students who want to analyse the field in great depth.
Why Study Computation and Neural Systems at California Institute Of Technology
Official fee page
Annual tuition fees
$60,816 / year
Total tuition fees
$1,21,632 / 24 months
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Test Score Requirements
Minimum english score required
PTE
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TOEFL
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IELTS
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Minimum aptitude score required
GRE
Not Required
Application Pre-requisites
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Yocketer profiles
Aditya Nair
MS in Computation and Neural Systems
Fall 2018
Samyak Jain
ShortlistedMS in Computation and Neural Systems
Fall 2026
Rakshith Sajjan
ShortlistedMS in Computation and Neural Systems
Summer 2025
Kanchan Bhale
ShortlistedMS in Computation and Neural Systems
Fall 2025
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