Data analysis
Work with real datasets and translate research questions into sound analytical workflows.
APPLICATIONS CLOSED · COMPLETED 27 OCTOBER 2026
Data Science & AI internship.
This two-week hands-on programme has concluded. Registration is closed, and the participant records are now available in the completed internships archive.
12–27October 2026
30Seats only
₹3,500plus GST
2 weeksHands-on learning
What you will learn
Modern tools
Use R, Python and relevant AI tools for analysis, visualization and interpretation.
Agricultural applications
Connect experiments and statistical methods with practical agricultural problems.
Expert mentorship
Learn from faculty and practitioners through guided exercises and mini-project work.
Completed project required
Each intern must develop and submit a completed project at the end of the programme. The final Data Science Challenge and Demo Day will showcase the completed work.
Programme team
Dr. Pratheesh P. Gopinath
Assistant Professor and Head
Dr. Manju Mary Paul
Assistant Professor
Dr. Adarsh V. S.
Assistant Professor
Dr. Chitra M. T.
Assistant Professor
Jithin Chandran
Information Security Officer
Mohammed Hisham M.
CTO · PhD in Agricultural Statistics
Lecture schedule
| Day | Activity | Resource person or team |
|---|---|---|
| 1 | The Data Science World | Dr. Manju Mary Paul |
| 2 | R for Data Science | Dr. Adarsh V. S. |
| 3 | Python for Data Science | Dr. Chitra M. T. |
| 4 | Working with Real-World Data | Jithin Chandran |
| 5 | Generative AI for Data Scientists | Mohammed Hisham M. |
| 6 | Experimental Design & Research Analytics | Dr. Pratheesh P. Gopinath |
| 7 | Machine Learning Fundamentals | Mr. Ranganath H. K. |
| 8 | Patterns in Complex Data | Jithin Chandran |
| 9 | Startup & Product Day | Statoberry LLP team |
| 10 | Data Science Challenge & Demo Day | Department internship programme team |
Final requirement: submission and presentation of a completed project. Data Science Challenge and Demo Day is conducted by the Department of Agricultural Statistics internship programme team.
Programme eligibility
The programme was designed for students, graduates and early-career professionals from:
Agriculture and allied sciencesEngineering and technologyComputer science and ITStatistics and mathematicsData scienceBiotechnology and life sciencesEconomics and related fields
Applications closed
This programme has concluded
The registration form is no longer accepting applications. Future internship calls will be announced on this page and highlighted on the department homepage.