International Summer and Winter Schools at our Indian Parter universities

International Summer School at IIT Bombay

Course Information

Comprehensive course details can be accessed via the link below/via attached file. Some courses have prerequisites; therefore, students are strongly advised to review course requirements carefully before applying. All courses will be taught in English.

Course List:

Data-Driven Flow Modelling
Application of Biostatistics in Biology & Biomedical Engineering
Predicting Evolution: Quantitative & Experimental Approaches to Fitness Landscapes and Systems Biology
Mathematical Foundations of Strategic Decision-Making: Game Theory, Mechanism Design & Social Algorithms
Group Testing: An Important Tool for Data Science
Becoming an entrepreneur: Leveraging Your University & Local Ecosystems
Semiconductor Photonics
Brain-Inspired/ Neuromorphic Computing for edge AI
Waste to Energy
Electric Vehicle Charging Infrastructure
Foundations of Mechatronics: Hands-on
Quantitative Finance: From Stochastic Models to Deep Learning

Detailed Course List:

Course Outline-2026 International Summer School, opens an external URL in a new window

Course Registration and Framework

Participants will be permitted to enroll in only one course in order to avoid scheduling overlaps. While students may indicate interest in up to three courses, if shortlisted for more than one course, they will be required to select one as their priority. Please note that course allocations will be finalized based on student responses, and selections of participants will be made following a review by the respective course instructors. Applicants will be notified of the courses they have been accepted into by March 30, 2026.

Registration Fee: USD 150

Accommodation & Meals: IIT Bombay will provide complimentary on-campus accommodation and cover breakfast, lunch, and dinner for six days (July 5–12).

Certificate: A certificate will be awarded upon successful completion of the program.

Application Deadline: March 15, 2026

Course Load & Attendance: Each course requires a commitment of 20 instructional hours, and participants are expected to attend all scheduled sessions. A minimum of 80% attendance is compulsory.

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act	Is needed to store logged in users (marketing/tracking).	90 days	HTTP	Meta
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datr	Is needed to identify the browser for security and website integrity purposes, including account recovery and identification of potentially compromised accounts.	2 years	HTTP	Meta
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cppo	Is needed for statistical purposes.	90 days	HTTP	Meta
locale	Is needed to save the language settings.	session	HTTP	Meta
pl	Required for Facebook Pixel.	2 years	HTTP	Meta
lu	Required for Facebook Pixel.	2 years	HTTP	Meta
c_user	Required for Facebook Pixel.	3 months	HTTP	Meta
bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
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li_sugr	Is needed to store browser data (marketing/tracking).	3 months	HTTP	LinkedIn
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li_fat_id	Required for indirect member identification used for conversion tracking, retargeting and analytics.	30 days	HTTP	LinkedIn
U	Is needed to identify the browser.	3 months	HTTP	LinkedIn
_guid	Is needed to identify a LinkedIn member for advertising via Google Ads.	90 days	HTTP	LinkedIn