B.Tech – Bioinformatics

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Bioinformatics is a blend of many streams namely computer science, biology and information technology. It comprises both science and technology. In simple words, it can be termed as border between biological and computer sciences.

Here are the course details for B.Tech courses. Top B.Tech Courses in India, List of Best Ranking and latest courses of B.Tech Institutes, Different Courses and Programs in India.


Eligibility Criteria for B.Tech Informatics

This course is best suited for those who have completed graduation or post-graduation in subjects like biology, veterinary sciences, chemistry, pharmacy, mathematics, physics and genetics. In conjunction, engineers, IT professionals and PhDs are also eligible for this course.

In other words, it can be said that to get admission in this course you require having aptitude and knowledge in biological and computer sciences along with mathematics. Additionally, you are supposed to have good knowledge about computer graphics theory and mathematical optimization etc.

You will have to appear for a qualifying exam.

Career Prospects

Technology is expanding its roots in the field of molecular biology; consequently, the number of jobs in the field of bioinformatics is on constant increase. Jobs can easily be had (provided you have actual knowledge of the subject) in all sectors of research centers, health care institutions and bio medical sciences.

Pharmaceutical industry and biotech companies offer various good job opportunities as al the drug discovery process carried out here is done with the help of bioinformatics technologies.

If you have been gifted with teaching skills, you can utilize them in public institutions.


If you are a post graduate, then you can expect salary from Rs.14,000 to Rs. 20,000 on monthly basis. In case of government institution you can expect initial salary of about Rs.10,000 along with government allowances. However, you can expect increase in salary with increased experience.

Course Structure

1st Semester

  • Introduction of Bioinformatics
  • Basics of Mathematics
  • General English
  • Basics of Biology
  • Fundamental of Computer
  • Mathematics I
  • Chemistry I
  • Engineering Graphics
  • Physics I
  • Cell Biology
  • Computer Lab

2nd Semester

  • English II
  • Physics II
  • Basic Electrical & Electronics Engineering
  • Engineering Graphics
  • Mathematics II
  • Chemistry II
  • Engineering Mechanics
  • Computer Lab
  • Molecular Biology
  • Statistics and Probability
  • Operating System
  • C – Language
  • EEE Lab

3rd Semester

  • Mathematics – III
  • Concepts in computing & Computer programming
  • Biophysics
  • Microbiology Lab
  • Biochemistry
  • Genetic information flow & processing
  • Biological Databank
  • Computer Networking & HTML
  • Minor Project
  • Database Management System
  • Computer Lab

4th Semester

  • Biostatistics
  • Immunology
  • Biological databank & sequence analysis
  • Principles of genetics
  • Biological databank & Sequence analysis Lab
  • Introduction to database system
  • Object oriented Programming
  • Environmental studies
  • Object oriented Programming Lab
  • Computational Method for Sequence Analysis
  • Oracle
  • Computer Lab
  • Molecular Imaging & Drug Designing
  • C++ – Language

5th Semester

  • Genomics, Proteomics and HGP
  • Perl Programming for Bioinformatics
  • Computer Lab
  • Animal & Plant Biotechnology
  • Advanced Multimedia
  • Introduction to algorithms & data structure
  • Recombinant DNA Technology
  • Introduction to machine learning to Bioinformatics
  • Bioinformatics Lab
  • Recombinant DNA Technology
  • Introduction to machine learning to Bioinformatics
  • Bioinformatics Lab

6th Semester

  • Gene Expression & Microarray Analysis
  • Microsoft Visual Basic
  • Minor Project
  • Pharmacogenomics & Pharmacogenetics
  • Computer Lab
  • Theory of computation
  • Instrumental method of analysis
  • Data Mining & Data Warehousing
  • Molecular Biology Lab
  • Proteomics
  • Technique in computational biology
  • Internet & Java Programming
  • Internet & Java Programming Lab

7th Semester

  • Agricultural & Medical Informatics
  • Principles of Management & Professional Ethics
  • Nana Scale Process in Life Sciences
  • Molecular modeling lab
  • Information Theory & Stochastic Process
  • ASP
  • Computer Lab
  • Advanced Algorithm for Computational Biology
  • Core Java

8th Semester

  • System Biology
  • Project Work
  • Major Project
  • Artificial Intelligence