The Integrated M.Tech. AI and Bioinformatics programme is a five-year course. Direct Admission to this course is after 10+2, without an entrance exam. The specialization in AI & Bioinformatics uses artificial intelligence (AI) techniques to solve challenging problems in bioinformatics, which deals with the processing and interpretation of biological data, especially at the molecular level. A graduate completing this program will be able to handle the tough biological problems encountered by industry, spanning from genome sequencing to protein structure prediction, as well as drug development to personalized medicine. This course offers AI-powered tools and algorithms, emphasizing their critical role in accelerating research, simplifying data interpretation, and igniting biomedical advances. Students gain hands-on experience in the theory and application of Artificial Intelligence and Bioinformatics, as well as practical experience through Engineering Laboratories, Capstone Project, and Internship.
About the Programme
Curriculum Highlights
This course equips the student with basic foundations in Artificial Intelligence and Bioinformatics. It imparts sophisticated research-based skills as a master of AI engineering and bioinformatics. In addition, the graduate will also learn the following subjects:
- Machine Learning
- Deep Learning
- Natural Language Processing
- Genomics
- Proteomics
- Drug Discovery
- Personalized Medicine
- System Biology
- Biomedical imaging
- Signal processing
- Reinforcement Learning
- Probability and statistics
- Predictive Analytics
- Statistical Machine Learning
- Theoretical Machine Learning
Uniqueness of Program @ VIT Bhopal
Because of the complexity of biological data and the requirement for precise interpretation, AI approaches have been included in bioinformatics. The curriculum is designed to rigorously prepare students to meet these new industrial standards through research methodologies and hands-on experience gained through numerous internship opportunities. VIT Bhopal assists in the development of certain talents while working on the following particular fields of research:
Research Specialization:
- Natural Language Processing
- Deep Neural Network
- Drug Discovery & Design
- Biomedical imaging
- Signal processing
- Reinforcement Learning
The research-based approach to learning gives the candidates an advantage over other candidates during job interviews. They will develop the ability to adapt to a diverse work environment and manage any task assigned to them.
Scope of Employment
Because the degree focuses mostly on research, students can find employment in the R&D sector. The multi-degree course provides the graduating student with a variety of work prospects with a competitive salary package, including but not limited to:
- Machine Learning Engineer (Genomics)
- AI Researcher in Drug Discovery
- Biomedical Data Scientist
- Bioinformatics Scientist
- AI Engineer in Medical Imaging
- Precision Medicine Specialist
- Biomedical Image Analyst
- Computational Biologist
- Genomics Data Analyst
Placement Opportunities
AI and Bioinformatics is a high-demand, interdisciplinary field, offering placement opportunities across biotechnology, pharma, healthcare, IT, and research sectors. The prominent companies that have high demand for these skillsets include Novartis, AstraZeneca, Pfizer, Sanofi, Thermo Fisher Scientific, Illumina, Qiagen, GSK, IBM Watson Health, NVIDIA BioNeMo, Microsoft Genomics, Amazon AWS for genomics, etc.
