

Admissions are open for the 2026 batch!
Apply Now


India’s First
Gen-AI Masters Program
on Life Science and Healthcare
Shape the future of biotechnology by becoming a Life Science AI Generalist
our Industry
Why AI in Life Sciences Matters Now
Biotech is evolving at lightning speed and the rules of innovation are being rewritten. At the center of this transformation is AI, rapidly becoming the engine behind every major scientific and healthcare breakthrough. This shift is not theoretical or far away. It is unfolding right now inside research labs, hospitals, pharma companies, and biotech startups worldwide.
By mastering AI, you’ll be ready to:
Reinvent Drug Discovery
AI will power nearly 90 percent of new drug discoveries by 2030.

Accelerate Genomic Insights
AI-driven bioinformatics is pushing precision medicine to new levels.
Transform Research Pipelines
AI driven workflows are now the core of modern biotech R&D.

Drive the Future of Biotech
AI skills help you build scalable, automated breakthroughs.

Reinvent Drug Discovery
AI will power nearly 90 percent of new drug discoveries by 2030.

Accelerate Genomic Insights
AI-driven bioinformatics is pushing precision medicine to new levels.
Transform Research Pipelines
AI driven workflows are now the core of modern biotech R&D.

Drive the Future of Biotech
AI skills help you build scalable, automated breakthroughs.

Reinvent Drug Discovery
AI will power nearly 90 percent of new drug discoveries by 2030.

Accelerate Genomic Insights
AI-driven bioinformatics is pushing precision medicine to new levels.
Transform Research Pipelines
AI driven workflows are now the core of modern biotech R&D.

Drive the Future of Biotech
AI skills help you build scalable, automated breakthroughs.

Reinvent Drug Discovery
AI will power nearly 90 percent of new drug discoveries by 2030.

Accelerate Genomic Insights
AI-driven bioinformatics is pushing precision medicine to new levels.
Transform Research Pipelines
AI driven workflows are now the core of modern biotech R&D.

Drive the Future of Biotech
AI skills help you build scalable, automated breakthroughs.

Automate Your Workflow
Connect AI tools, save hours daily
Master Prompt Engineering
Get 10x better outputs
Our Trusted Hiring Partners
Our Students Intern At*
























+30 other companies
Where Our Learners
Get Placed
Our Program
Who Is This Program Meant For?

Working Professionals
in Life Science
Lead AI-driven projects and deliver impactful solutions.

Working Professionals
in Life Science
Lead AI-driven projects and deliver impactful solutions.

Fresh Graduates
in Life Science
Stand out early by leveraging AI as your competitive edge.

Fresh Graduates
in Life Science
Stand out early by leveraging AI as your competitive edge.

Final-Year Students
in Life Science
Graduate with career proof skills and confidence.

Final-Year Students
in Life Science
Graduate with career proof skills and confidence.
Download Brochure


12 LPA
Average Annual Base Salary
for Gen-AI roles in Life Science


Fastest Growing Skill
in Bio-R&D, Diagnostics & Healthcare (2024–2030)


32%
Annual Job Growth by 2027
in AI-powered Life Science roles
In-Demand Roles
Computational Biologist
Bioinformatics Analyst
ML Engineer – Life Sciences
AI Scientist – Biotech
Bioinformatics Tools
Deep Learning
Data Engineering
Biological Domain Knowledge
Machine Learning
Python & Scripting
Salary Progression
6+ LPA
Computational Biologist
Bioinformatics Data Analyst
MLOps Engineer
Data Engineer
10+ LPA
44+ LPA
30+ LPA
22+ LPA
16+ LPA
This program takes you from the basics to the most advanced parts of GenAI in life sciences. You’ll start by learning core computational biology and data skills, then move into handling real genomic and clinical datasets. As you progress, you’ll work with cloud platforms, containers, and big data systems that power modern bioinformatics. You’ll build ML models for disease prediction, explore NLP and computer vision for healthcare, and even create your own GenAI applications using tools like LangChain and Pinecone.
03
Industry Immersion Track
1 Month
Skills you’ll acquire
These are not just good-to-have skills they are foundational for every biotech professional aiming to be industry ready.
Python
PostgreSQL
Databricks
TensorFlow
R
MySQL
Docker
Hugging Face
scikit-learn
MongoDB
Kubernetes
LangChain
Tidyverse
Apache Spark
GitHub
Trello
Opportunities in AI-Driven Life Science & Healthcare
01
Foundational Data Science & Cloud Engineering
4 Months
Our first semester begins by cementing your
foundation and prepares you for a career…
02
Specialisation track
4 Months
Topic
Core Skills Covered
Duration: 4 Month
Foundations of Computational Biology & Data Science
Advanced Looping Concepts
OOPs in Python
Exception Handling
Bioinformatics Data Management & Wrangling
Cloud Engineering & Containerization for Life Sciences
Capstone Project
Advanced Python & R for Data Science Statistical & Experimental Design
SQL & NoSQL Databases
Bioinformatics Data Wrangling (FASTQ, VCF, PDB)
01
Month 1 - 4
Foundational Data Science & Cloud Engineering
01
Foundational Data Science & Cloud Engineering
4 Months
Our first semester begins by cementing your
foundation and prepares you for a career…
02
Specialisation track
4 Months
Topic
Core Skills Covered
Duration: 4 Month
Foundations of Computational Biology & Data Science
Advanced Looping Concepts
OOPs in Python
Exception Handling
Bioinformatics Data Management & Wrangling
Cloud Engineering & Containerization for Life Sciences
Capstone Project
Advanced Python & R for Data Science Statistical & Experimental Design
SQL & NoSQL Databases
Bioinformatics Data Wrangling (FASTQ, VCF, PDB)
01
Month 1 - 4
Foundational Data Science & Cloud Engineering
Opportunities in AI-Driven Life Science & Healthcare
Learn from Industry experts,
Disruptors, and Biotech
leaders


Lalith Kishore
Chief operating officer
C-Camp, Bangalore


Dr Paruchuri Anoosha
Co-Founder
BioCogniz


Kumar Sankaran
CEO, Founder
Leucine Rich Bio


Jagan L
Bioinformatics Lead
Decode Age

Raj Babu
CEO, Founder
Agilisium labs



Godwin Immanuel
Co-Founder
Bversity School of Bioscience


Deeksha Bhartiya
CEO, Founder
Genomiki Solutions
Meet our graduates who have not only secured new and better jobs
but have also experienced significant salary hikes.
































Our Great Learners
Application
Process & Timeline
Step 1
Online Application
Submit the online application along
with the required documents.
Step 2
SOP Evaluation
Shortlisted candidates will be
required to submit a SOP &
attend an assesment.
Step 3
1: 1 Interview
Shortlisted candidates will be
called for an online interview. The
selected candidates will receive
an offer of admission to the
programme.


Eligibility
B.Tech, B.Sc M.Sc & M.Tech Life
science/Biotechnology graduates
who passed with min 7 CGPA
•
Students with qualifying marks in
any entrance ( (CSIR-UGC NET,
GAT-B, DBT-JRF, CSIR, ICMR)
doesn’t require Assessment Test
•
Start my journey
Start Building from Day 1
Build 50+ real-world projects of your interest under the
mentorship of ex-Google, Amazon, Meta Engineers, and
Harvard Alumni.
BEHIND OUR GROWTH
Backed by the best AI
leaders of the world
With the trust of 50+ Angel Investors,
we're building futures together
Take the first step toward shaping the future of AI in Life Science and Healthcare.
Apply Now
Admissions Open for 2026 Batch!

Suresh Sambandam
Founder & CEO, Kissflow

Sathish Kumar
Founder & Chairman, Milky Mist

Suresh Sambandam
Founder & CEO, Kissflow

Nagaraja Prakasam
Investor, IAN

Andi Giri
CEO, Softsquare

Ratheesh Krishnan
Director, SPI Group

Raj Babu
Founder & CEO, Agilisium

Lalith Kishore
COO, C-CAMP

Suresh Sambandam
Founder & CEO, Kissflow

Sathish Kumar
Founder & Chairman, Milky Mist

Suresh Sambandam
Founder & CEO, Kissflow

Nagaraja Prakasam
Investor, IAN

Andi Giri
CEO, Softsquare

Ratheesh Krishnan
Director, SPI Group

Raj Babu
Founder & CEO, Agilisium

Lalith Kishore
COO, C-CAMP

Suresh Sambandam
Founder & CEO, Kissflow

Sathish Kumar
Founder & Chairman, Milky Mist

Suresh Sambandam
Founder & CEO, Kissflow

Nagaraja Prakasam
Investor, IAN

Andi Giri
CEO, Softsquare

Ratheesh Krishnan
Director, SPI Group

Raj Babu
Founder & CEO, Agilisium

Lalith Kishore
COO, C-CAMP

Suresh Sambandam
Founder & CEO, Kissflow

Sathish Kumar
Founder & Chairman, Milky Mist

Suresh Sambandam
Founder & CEO, Kissflow

Nagaraja Prakasam
Investor, IAN

Andi Giri
CEO, Softsquare

Ratheesh Krishnan
Director, SPI Group

Raj Babu
Founder & CEO, Agilisium

Lalith Kishore
COO, C-CAMP
Frequently asked questions
1. What is the duration of the PGP for Gen-AI in Life Science ?
The course duration is 12 months.
1. What is the duration of the PGP for Gen-AI in Life Science ?
The course duration is 12 months.
2. What is the course structure like?
2. What is the course structure like?
3. How is the Industry PGP Gen-AI course better than a regular 2-year masters program?
3. How is the Industry PGP Gen-AI course better than a regular 2-year masters program?
4. Are there any prerequisites for this course?
4. Are there any prerequisites for this course?
5. What are the key highlights of this course?
5. What are the key highlights of this course?
6. Who is this course suitable for?
6. Who is this course suitable for?
7. How can I apply for admission?
7. How can I apply for admission?
8. How can I get more information about the course?
8. How can I get more information about the course?
Bversity
FOLLOW US ON


School for Biotechnology
Copyright © 2024 Bversity school of Biotechnology. All rights reserved.



India’s First Gen-AI Masters Program
on Life Science and Healthcare
Shape the future of biotechnology by becoming a Life Science AI Generalist
Admissions are open for the 2026 batch!
Apply Now
Download Brochure

















