MSc IN DATA SCIENCE AND BIO-AI
February 25, 2026 2026-02-26 9:36MSc IN DATA SCIENCE AND BIO-AI
The MSc in Data Science and BioAI at the School of Digital Sciences is a two-year interdisciplinary postgraduate program designed to train students at the intersection of data science, artificial intelligence, and life sciences. The program builds strong foundations in data science, machine learning, deep learning, and advanced AI methodologies, with applications in multi-omics data analysis, molecular sciences, drug design, and healthcare. The curriculum seamlessly integrates computational intelligence with biological and clinical knowledge, enabling students to address real-world challenges in genomics, transcriptomics, proteomics, precision medicine, drug discovery, and AI-driven healthcare solutions. With a strong emphasis on hands-on training, interdisciplinary projects, and research-oriented learning, the program prepares graduates to become industry-ready professionals capable of contributing to innovations in biomedical research and healthcare technology. Number of Seats : 30 |
ELIGIBILITY CRITERIA
Candidates must possess either a 3-year or a 4-year Bachelor’s degree in science/engineering/mathematics/medicine/pharmacy with a minimum aggregate of 60% marks (or equivalent, with relaxation for reserved categories as per University norms).
ENTRANCE EXAMINATIONS
- DUAT Test Paper Codes : DUAT05
- CUET Codes: SCQP09, SCQP17, SCQP03, SCQP05, SCQP06, SCQP07, SCQP08, SCQP28, SCQP25, SCQP27, SCQP24, SCQP19, SCQP01, SCQP02, SCQP22, SCQP23, MTQP04
MINIMUM ENTRY REQUIREMENT
Entry-level requirement is a minimum score of 60 percentage marks OR CPI/CGPA of 6.5 or above in 10 points in the qualifying degree. Rounding off of marks is not allowed.
Candidates belonging to SC/ST and Persons with Disability categories are eligible for applying if they have minimum pass marks in the qualifying examination.
Socially and Economically Backward Classes (SEBC) candidates of Kerala State who are certified as belonging to non-creamy layer are eligible for 5% relaxation in the minimum required marks for qualifying examination, provided that the candidates have passed the examination.
Candidates who have appeared or are appearing for the final year/ semester examination may also apply for the PG Programs provided that they satisfy the following two conditions.
- Condition 1 ‐ That they have appeared/ are appearing for the final year/ semester exam in full and for the first time.
- Condition 2 ‐ That they have passed all examinations prior to the final year/ semester.
Selected candidates are expected to submit all the original documents of mark lists, degree/ provisional degree certificates, migration certificate, etc. within a date specified by the University. If a candidate fails to submit the original certificates as proof of their eligibility by this date, the candidate may be asked to discontinue the program.
| Particulars | First Semester | Second Semester | Third Semester | Fourth Semester |
| Tuition Fee (in Rs) | 55,000 | 50,000 | 50,000 | 50,000 |
| Caution deposit (in Rs) | 5,000 | |||
| TOTAL (in Rs) | 60,000 | 50,000 | 50,000 | 50,000 |
Fee Payment Schedule
| Semester | Tuition Fee | Caution Deposit | Last date of remittance without fine (on or before) |
| First Semester | 55,000 | 5,000 | Rs.10,000/- at the time of Admission and the balance fee within 30 days after the commencement of the 1st Semester Classes |
| Second Semester | 50,000 | Within 15 days after the commencement of the 2nd Semester class | |
| Third Semester | 50,000 | Within 15 days after the commencement of the 3rd Semester class | |
| Fourth Semester | 50,000 | Within 15 days after the commencement of the 4th Semester class | |
| TOTAL | 2,05,000 | 5,000 |
MERIT-CUM-MEANS SCHOLARSHIPS: Merit Cum Means (MCM) Scholarship (except that of Flexible and Executive Masters Programs) 20% of the BPL category students eligible for MCM Scholarship from the University. The value of the scholarship shall be equivalent to 50% of their Tuition Fee for all semesters. The eligibility shall be based on the annual income of the parent and the merits of the students.
EARN WHILE YOU LEARN: Opportunities for paid internships in real-life projects undertaken by the University will be available to a few top performing students from the 3rd semester onwards.
