Last Date to Apply for Indian Admissions 15 March 2026 Last Date to Apply for International Admissions 15 March 2026

OVERVIEW

The B. Tech in Computer Science and Biosciences program is designed to provide students with a strong foundation in both fields, allowing them to bridge the gap between computer science and biosciences. This interdisciplinary strategy is necessary for solving many real-world issues, including disease prevention, food security, and environmental sustainability. The curriculum typically includes courses in computer programming, algorithms, data structures, computer networks, database management systems, and software engineering, along with courses in biology, genetics, biotechnology, biochemistry, and microbiology. The program prepares students for a wide range of career opportunities in the areas of bioinformatics, biotechnology, healthcare, pharmaceuticals, and research and development. Graduates can work as data analysts, software developers, bioinformatics analysts, computational biologists, research scientists, or can pursue higher studies in fields such as bioinformatics, computational biology, or biotechnology.

ELIGIBILITY AND ADMISSION CRITERIA

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SCHOLARSHIPS

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PLACEMENTS & INTERNSHIPS

PROGRAM FEES

Program Fee Indian (₹) International ($)
BTECH(CS & Bio Science) Tuition (Annual) 3,41,000 7,700
Registration (One Time) 10,000 300
Caution Deposit (Refundable) 15,000
Total (At the time of admission) 3,66,000 8,000

FROM THE

STUDENT THOUGHTS

COURSE STRUCTURE

  • Engineering Economics
  • Management of Technology
  • Cell Biology and Biochemistry
  • Genetics and Molecular Biology
  • Data Structures and Algorithms
  • Flexi Core - 1
  • R Programming Lab / Relational Database Management System Lab
  • Data Structures and Algorithms Lab
  • Project-based Learning 1

  • Statistics & Probability
  • Object Oriented Programming Systems
  • Design and Analysis of Algorithms
  • Flexi Core - 2
  • Program Elective 1
  • Open Elective 1
  • Object Oriented Programming Systems Lab
  • Design and Analysis of Algorithms Lab
  • Project-based Learning 2

  • Bioinformatics
  • Artificial Intelligence and Machine Learning
  • Flexi Core - 3
  • Program Elective 2
  • Program Elective 3
  • Open Elective 2
  • Biostatics Lab
  • Artificial Intelligence and Machine Learning Lab
  • Project-based Learning 3

  • Computational Biology
  • Program Elective 4
  • Program Elective 5
  • Program Elective 6
  • Open Elective 3
  • Professional Practice
  • Computational Biology Lab
  • Project-based Learning 4

  • Program Elective 7
  • Program Elective 8
  • Open Elective 4
  • Open Elective 5
  • Internship (Industry or Research)

  • Major Project

  • Engineering Chemistry & Lab
  • Calculus & Matrices
  • Digital Systems
  • Manufacturing Processes
  • Problem-Solving Using Computers
  • Human Rights and Values
  • Problem-Solving Using Computers Lab
  • Communication Skills
  • Engineering Graphics

  • Engineering Physics & Lab
  • Computational Mathematics
  • Environmental Studies
  • Fundamentals of Data Structures
  • Data Visualization
  • Creativity & Innovation IDEA Lab
  • Biology for Engineers
  • Fundamentals of Data Structure Lab
  • Wellness and Community Services

  • Fundamentals of Molecular Biology and Genetics
  • Principles of Management / Engineering Economics
  • Data Structure and Algorithms
  • Relational Database Management System
  • Object Oriented Programming
  • Relational Database Management System Lab
  • Data Structure and Algorithms Lab
  • Basic Analytical Lab

  • Probability and Statistics
  • Design and Analysis of Algorithms
  • Principles of Management / Engineering Economics
  • Artificial Intelligence
  • Technical Report Writing
  • Bioinformatics
  • Design and Analysis of Algorithms Lab
  • Bioinformatics Lab
  • Project Based Learning - 1

  • Computational and Structural Biology
  • Data Science and Machine Learning
  • Information System Security
  • Recombinant DNA Technology
  • Program Elective 1
  • Computational and Structural Biology Lab
  • Data Science and Machine Learning Lab
  • Project Based Learning - 2

  • Immunodiagnostics and Vaccine Technology
  • Genomics and Proteomics
  • Industry Elective (PBL - 3)
  • Program Elective 2
  • Program Elective 3
  • Program Elective 4
  • Open Elective

  • Open Elective
  • Open Elective
  • Program Elective 5
  • Program Elective 6
  • Internship (Industry / Research / Industry Certification)

  • Major Project

LEARN.
GROW.
ACHIEVE.

University - Recognitions & Accreditations