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Centre of Bio Digital Intelligence

Centre for Bio-Digital Intelligence

Transforming Biology through Artificial Intelligence & Data Science

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Shape the Future of Biology

About the Centre

Integrating Biology,
AI & Data Science
for Tomorrow.

The Centre for Bio-Digital Intelligence is a cutting-edge academic and research hub dedicated to integrating Biology, Artificial Intelligence (AI), and Data Science. The Centre aims to develop next-generation professionals equipped to solve complex biological challenges using computational intelligence.

With a strong emphasis on innovation, interdisciplinary learning, and industry collaboration, the Centre prepares students for careers in bioinformatics, healthcare analytics, genomics, drug discovery, and AI-driven biological research.

Our approach combines rigorous scientific methodology with advanced computational tools, enabling students to bridge the gap between laboratory discoveries and real-world applications in healthcare, agriculture, environment, and sustainable development.

Our Vision

To establish a globally recognized centre of excellence integrating biological sciences with artificial intelligence and digital technologies, driving innovation in healthcare, agriculture, environment, and sustainable development. Inspired by leading bioinformatics and AI centres, the vision emphasizes interdisciplinary research, digital infrastructure, and societal impact.

Our Mission

To develop cutting-edge bio-digital solutions using AI, machine learning, and omics data.
To create a state-of-the-art infrastructure for bioinformatics, computational biology, and digital biology.
To promote translational research converting lab discoveries into real-world applications.
To build skilled manpower through industry-aligned education and training programs.
To foster industry–academia collaborations, startups, and innovation ecosystems.
To ensure ethical, responsible, and sustainable use of bio-digital technologies.

Flagship Programs

Where Biology Meets Artificial Intelligence

B.Sc. Bioinformatics (with AI)

3 Years | With Internship in SHODH AI

M.Sc. Bioinformatics (with AI)

2 Years | With Internship in SHODH AI

B.Sc. Bioinformatics (with AI) – 3 Years

An undergraduate program designed to build strong foundations in:

Molecular Biology & Genetics
Programming (Python, R)
Data Analytics & Visualization
Artificial Intelligence & Machine Learning
Genomics & Proteomics

Outcome: Industry-ready graduates with skills in biological data analysis and AI applications.

M.Sc. Bioinformatics (with AI) – 2 Years

An advanced program focusing on:

Advanced Bioinformatics & Computational Biology
Deep Learning in Life Sciences
Big Data Analytics in Healthcare
Structural Bioinformatics & Drug Design
Research Methodology & Dissertation

Outcome: Skilled professionals ready for research, PhD, and high-end industry roles.

Core Research Areas & Targets

High-impact interdisciplinary domains

Bioinformatics & Computational Biology

Genomics, proteomics, and multi-omics data analysis. AI-driven drug discovery and biomarker identification for next-generation therapeutics.

Artificial Intelligence in Life Sciences

Predictive healthcare models, medical image analysis and diagnostics, and precision medicine systems powered by machine learning.

Digital Health & Biomedical Informatics

Smart diagnostics and wearable technologies, electronic health data analytics, and clinical decision support systems for modern healthcare.

Synthetic Biology & Bioengineering

Bio-design and bio-manufacturing, smart biomaterials and engineered biological systems for industrial and medical applications.

Agri-Bio Informatics

Climate-resilient crops through genomic selection and AI-based precision agriculture for sustainable food production and smart farming systems.

Environmental & Industrial Biotechnology

Bio-based solutions for sustainability, waste-to-value conversion, and carbon capture technologies aligned with national priorities.

State-of-the-Art Laboratories

World-class infrastructure for bio-digital research

AI & Bioinformatics Computing Lab

High-performance computing systems
Advanced bioinformatics software & databases
Machine learning and deep learning platforms

Apple iMac Digital Innovation Lab

High-end Apple iMac systems for data visualization
Bioinformatics software ecosystem
Creative and analytical computing environment

AI Infrastructure Facility

GPU-enabled computing for deep learning
Cloud-based AI platforms
Big data analytics tools

Genomics & Molecular Biology Lab

DNA/RNA analysis tools
PCR, electrophoresis, sequencing support
Hands-on training in molecular techniques

Computational Biology & Data Science Lab

Statistical modeling tools
R, Python, and bioinformatics pipelines
Real-time data analysis projects

Core Infrastructure Facilities

Central Instrumentation Facility (CIF)
High-speed internet & cloud computing access
Smart classrooms with ICT-enabled teaching
Digital library with global journal access

Why Choose Us?

Key features that set us apart

Interdisciplinary Approach

Biology + AI + Data Science combined for a unique learning experience

Advanced Labs

Including Apple Lab & AI Infrastructure for hands-on training

Industry Exposure

Internships in Shodh AI, biotech & IT sectors with real-world problem solving

Research Ecosystem

Strong focus on research, innovation, workshops, seminars & hackathons

Career Paths

Career Opportunities

Graduates can explore exciting and high-demand roles in the rapidly growing field of bio-digital sciences.

Bioinformatics Analyst

Data Scientist (Healthcare)

Computational Biologist

AI Specialist in Life Sciences

Clinical Data Analyst

Research Scientist

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Facilities &
Amenities

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Govt. Approval & Accreditations

Established in 2008, the University is UGC-approved, with all programmes accredited by regulatory bodies.

Have Questions?

Frequently Asked Questions

Everything you need to know about admissions, academics, and research at the Centre for Bio-Digital Intelligence.

Still have questions?

Can't find the answer you're looking for? Please chat to our friendly team.

admissions@mygyanvihar.com Contact Us

What is B.Sc. Bioinformatics (with AI)?

B.Sc. Bioinformatics (with AI) is a 3-year undergraduate program that builds strong foundations in molecular biology, genetics, programming (Python, R), data analytics, artificial intelligence, machine learning, genomics, and proteomics. It includes an internship at SHODH AI.

What is the eligibility for M.Sc. Bioinformatics (with AI)?

Candidates must hold a Bachelor's degree in Bioinformatics, Life Sciences, Computer Science, or a related field with at least 50% aggregate marks from a recognized university. The M.Sc. program is a 2-year postgraduate degree with an internship at SHODH AI.

How can I apply for admission?

You can apply online through the SGVU admissions portal or fill out the enquiry form on this page. Our admissions team will guide you through the complete process.

What career opportunities are available after graduation?

Graduates can pursue careers as Bioinformatics Analysts, Data Scientists in Healthcare & Genomics, Computational Biologists, AI Specialists in Life Sciences, Clinical Data Analysts, and Research Scientists in leading biotech, pharmaceutical, and healthcare organizations.

Are internships included in the curriculum?

Yes, both B.Sc. and M.Sc. programs include mandatory internships at SHODH AI as well as opportunities in biotech and IT sectors. Students gain hands-on experience through project-based learning, hackathons, and real-world problem solving.

What kind of labs and infrastructure does the Centre have?

The Centre features state-of-the-art labs including an AI & Bioinformatics Computing Lab with high-performance computing, an Apple iMac Digital Innovation Lab, an AI Infrastructure Facility with GPU-enabled deep learning, a Genomics & Molecular Biology Lab, and a Computational Biology & Data Science Lab. Core infrastructure includes a Central Instrumentation Facility, cloud computing access, and smart classrooms.

What are the core research areas of the Centre?

The Centre focuses on six high-impact domains: Bioinformatics & Computational Biology, Artificial Intelligence in Life Sciences, Digital Health & Biomedical Informatics, Synthetic Biology & Bioengineering, Agri-Bio Informatics, and Environmental & Industrial Biotechnology. These align with national priorities such as bio-AI integration and sustainable biomanufacturing innovation.

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University Background

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