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Programme Overview

This programme integrates biological sciences with information technology, computer technology, machine learning, and healthcare. Graduates can pursue roles like senior research associate, quality control executive, computational biologist, pharmacogenomics scientist, patent officer, genetic counsellor, and product development manager.

Programme Educational Objectives

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  • Develop Technical Expertise

    Equip students with a strong foundation in core engineering principles, fostering problem-solving skills for real-world challenges.

  • Encourage Innovation and Entrepreneurship

    Inspire students to develop innovative solutions and entrepreneurial ventures within their chosen fields.

  • Focus on Practical Learning

    Provide hands-on experience through lab work, internships, and industry collaboration to enhance technical proficiency.

  • Prepare for Global Careers

    Enable students to excel in diverse industries such as biotechnology, electronics, robotics, and sustainable engineering, with a focus on future technologies.

Why Choose IILM for Engineering?

01

Industry-Aligned Curriculum

Gain expertise in cutting-edge technologies with programmes designed in collaboration with academic and industry leaders, ensuring graduates are job-ready.

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State-of-the-Art Infrastructure

Access advanced labs and workshops equipped with high-end instruments for hands-on learning in AI, robotics, biotechnology, and more.

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Renowned Industry Partnerships

Collaborate with leading organisations like L&T EduTech, Biocon, and Infosys Springboard, providing internships, live projects, and career opportunities.

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Research and Innovation Opportunities

Engage in interdisciplinary research projects funded by DST, AICTE, and ICMR, developing innovative solutions to real-world problems.

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Personalised Mentorship and Career Support

Receive guidance from experienced faculty, industry experts, and alumni, with dedicated career counselling and placement support for a successful career.

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Outstanding Placement Record

Benefit from IILM’s excellent placement history with graduates placed in top companies like TATA Motors, Biocon, Honeywell, and Coca-Cola, earning competitive packages.

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A Bachelor’s degree (B.Tech/BE) in a relevant field from a recognised university.

A minimum of 55% aggregate marks (50% for SC/ST/PWD candidates).

IILM University’s School of Engineering equips students with the skills and expertise to excel in a wide range of industries. Here are some key career opportunities based on the offered programmes:

Core Engineering Roles

  • Civil and Sustainable Infrastructure Engineering: Civil Engineer, Structural Engineer, Construction Manager
  • Mechanical Engineering: Mechanical Engineer, Robotics Engineer, Automation Specialist

Technology and Innovation

  • Semiconductor Technology: Semiconductor Design Engineer, VLSI Engineer
  • Robotics and AI: AI/ML Specialist, Data Scientist, Automation Engineer
  • Electronics and Computer Engineering: Embedded Systems Engineer, IoT Specialist

Biotechnology and Food Technology

  • Bioinformatics and Biotechnology: Bioinformatics Specialist, Genetic Researcher, Biotech Product Manager
  • Food Technology: Food Technologist, Quality Assurance Specialist, Process Engineer

Research and Development (R&D)

  • All Programmes: R&D Scientist, Research Engineer, Innovation Specialist
  • Advanced Technologies: Design Engineer, Research Analyst in Biotechnology or Semiconductor fields

Industry and Manufacturing

  • Mechanical and Robotics Engineering: Industrial Engineer, Manufacturing Specialist
  • Food Technology and Civil Engineering: Process Engineer, Operations Manager, Environmental Consultant

Government and Public Sector

  • All Programmes: Career opportunities in ISRO, DRDO, Indian Railways, BHEL, GAIL, and other public enterprises
  • Biotechnology and Food Technology: Regulatory Officer, Quality Control Specialist

Consulting and Management

  • All Programmes: Engineering Consultant, Project Manager, Technical Analyst

Academia and Research

  • MTech Graduates: Lecturer, Professor, Academic Researcher
  • PhD Aspirants: Research roles in global institutions and think tanks

Entrepreneurship and Start-ups

  • All Programmes: Tech Entrepreneur, Product Developer, Start-up Founder in areas like AI, Biotechnology, and Robotics

Frequently Asked Questions

This program integrates biological sciences with computational techniques to analyze and interpret biological data. It focuses on genomics, proteomics, drug discovery, molecular modeling, and machine learning applications in bioinformatics.

Graduates can work as bioinformatics scientists, computational biologists, data analysts, genomic researchers, biotech software developers, and AI specialists in industries like pharmaceuticals, biotechnology, healthcare, and research institutions.

The curriculum includes computational biology, structural bioinformatics, machine learning, big data analytics in genomics, molecular dynamics, next-generation sequencing (NGS), and biological database management.

Candidates typically need a B.Tech/B.E. in Bioinformatics, Biotechnology, Computer Science, or related fields. Some universities may also accept candidates with an M.Sc. in relevant disciplines and require entrance exam scores like GATE.

M.Tech is more technology and research-focused, emphasizing computational methods, algorithms, and software development for biological data analysis, whereas M.Sc. is more theoretical, focusing on biological concepts and fundamental bioinformatics applications.
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