B. Tech. Bioinformatics with Specialization in AI & ML
4 Years Program
The B.Tech.in Bioinformatics with a specialization in AI & ML is a comprehensive four-year program which is designed to merge the principles of Bioinformatics with cutting-edge technologies in AI and ML. This program provides students with a robust grounding in Biology, Computational Biology, and Data Science, positioning them to tackle the multifaceted challenges at the crossroads of these disciplines. Bioinformatics represents the convergence of biology, computer science, and information technology, synergizing to address foundational and practical issues in biology and medicine. In this swiftly advancing field, applications span across healthcare, agriculture, and environmental science. The demand for skilled bioinformaticians is on the rise, and the field is anticipated to witness sustained growth in the foreseeable future.
Specialization Elective Courses
- Introduction to IoT
- Information Security Fundamentals
- Computer Vision
- Natural Language Processing
- Image Processing and Analysis
- Reinforcement Learning
- Design Thinking
- Web technologies
- Human Computer Interaction
- Pattern Recognition
- Deep Learning Methods
- Network Science and Modelling
- AI in healthcare
- Fundamentals of Data Analytics
- Machine Learning for Drug Discovery
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What Make It Different at IILMU-GN
- Interdisciplinary Approach: Our program seamlessly integrates biological sciences, computer science, and data analytics to provide a comprehensive understanding of Bioinformatics.
- Advanced Specialization: The specialization in AI & ML sets our program apart, enabling students to apply intelligent algorithms to biological data for pattern recognition, predictive modelling, and innovative problem-solving.
- Industry-Relevant Projects: Students engage in real-world projects, collaborating with industry professionals to address current challenges and gain practical experience.
- Apart from an extensive curriculum, students receive guidance and mentoring during their academic tenure. It supports their professional and personal development.
Candidate must have passed 10+2 level examination or its equivalent from any recognized Board/University; securing minimum 50% MARKS in required subject combination (Physics/Chemistry/Biology) or (Physics/Chemistry/Mathematics) or (Physics/Chemistry/Biotechnology) taken together. Admissions may be based on entrance exams and academic performance.
The program is meticulously designed to provide students with a robust foundation in both biological sciences and computational methods. The course structure is strategically crafted to encompass core subjects such as Computational Biology, Bioinformatics Algorithms, Statistics for Bioinformatics, and Scripting & Programming Languages like perl, python that will equip students with the essential skills for handling biological data. The curriculum seamlessly integrates interdisciplinary elements, offering specialized courses in machine learning, data mining, and AI applications in biology.
Electives, ranging from Drug Designing, Molecular Modeling to Structural Bioinformatics, NGS Technology allow students to tailor their education to their specific interests. The program culminates with a comprehensive capstone project, where students apply their knowledge and skills to solve real-world problems, reinforcing their understanding of bioinformatics principles and preparing them for the dynamic challenges in the field. The course structure not only imparts theoretical knowledge but also emphasizes practical applications, ensuring that graduates are well-equipped to make meaningful contributions in the rapidly evolving field of Bioinformatics.
- Internship Programs: Collaborate with industry leaders during internships to gain hands-on experience.
- Industry Seminars: Regular interactions with professionals and experts provide insights into industry trends.
- Training Workshops: Workshops on the latest tools and technologies in Bioinformatics and AI & ML enhance practical skills.
- Corporate Collaborations: Partnerships with leading companies create direct pathways for placements and industry exposure.
Graduates from the B.Tech. Bioinformatics program with a specialization in AI & ML at IILM University are well-positioned for diverse career opportunities:
- Bioinformatics Analyst
- Genomics Researcher/Scientist
- Computational Biologist
- Data Scientist (Biological Data)
- Clinical Bioinformatician
- Pharmaceutical/Biotech Analyst
- Biotechnology Researcher
- Bioinformatics Software Developer
- Agricultural Bioinformatics Specialist
- Environmental Bioinformatics Analyst
Numerous companies actively seek professionals in the field of bioinformatics, operating across diverse sectors such as pharmaceuticals, biotechnology, healthcare, research, and IT. Here are some noteworthy companies recognized for providing employment opportunities in bioinformatics:
- Strand Life Sciences
- Genotypic Technology
- FARCAST Biosciences
- Xcelris Labs
- Biosense Technologies
- Scigenom Labs
- Syngene International
In addition to the Biotech giants, local and regional start-ups, companies, and research institutions are actively working and offering for various roles in Bioinformatics and allied sciences. IILM assist students in participating various career fairs, professional networking, and job search portals and above-mentioned organisations, start-ups, research institutions while finding and applying to relevant employment positions. IILM will also assist in choosing appropriate paths for Higher Education and pave the way for students’ higher learning.