B.Tech (Bioinformatics)

Graduate Programmes

APPLY NOW 2022 Admissions

Program Code 10042

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity Institute of Biotechnology
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 10042
  • Eligibility
  • 60% in class X & XII and 60% in PCM/PCB for Non-sponsored category.

    Eligibility will be relaxed by 5% for sponsored category.

    Aggregate percentage will be calculated on the basis of marks scored in English and three academic subjects (excluding second language, Physical Education, Fine Arts, Performing Arts or any other Vocational /Non-Written subjects). Student should have passed all the subjects of class XII from a recognized board.

  • Duration
  • 4 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.975
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 1.465
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.975
1st Year Sponsored Semester Fee (Rs. in Lacs) : 1.465
  • The student shall be able develop conceptual as well as applied knowledge and skills in the field of Bioinformatics and Data Science to attain academic excellence.
  • The student shall demonstrate strategic thinking for data analysis and development of solutions through Bioinformatics tools and technologies.
  • The student shall be able to use and apply latest technologies like Machine learning , artificial intelligence algorithms for biological data analysis.
  • The student shall be able to demonstrate innovative and sustainable approach in order to solve scientific problems.
  • The student shall be confident in interpersonal skills relationship-building and communication.
  • The student shall be able to demonstrate team work and conflict resolution through leadership qualities.
  • The student shall be able to execute their knowledge and technical skills for the conferences, discussions, globalization and environmental conservation.
  • The student shall be able to practice the ethical principles and understand their social responsibilities.
  • The student shall be able to develop entrepreneurial orientation through innovative and creative decision making for various projects in Bioinformatics.
  • The student shall be able to develop lifelong learning approach to create new knowledge from existing knowledge.
  • The student shall be able to develop conceptual as well as applied knowledge and skills in the field of Bioinformatics and Data Science to attain academic excellence.
  • The student shall be able to have self-directive and active learning approach to learn computational biology.
  • The student shall demonstrate scientific enquiry and research aptitude to conduct innovative research in thrust areas of bioinformatics like Machine learning , artificial intelligence algorithms for benefitting society.
  • The student shall be able to efficiently use and apply IT tools and communication technologies and participate in collaborative networks.
  • The student shall formulate critical thinking, understanding and comprehend research-based knowledge to design and create solutions to scientific problems in bioinformatics.
  • The student shall be able to employ active listening and communication skills to augment interpersonal relationship.
  • The student shall be able to combine scientific innovation and thoughtful thinking to critically evaluate ideas before implementation.
  • The student shall be able to compare, contrast and analyze biological datasets in order to take optimal scientific decisions.
  • The student shall be able to demonstrate team work and conflict resolution through leadership qualities.
  • The student shall demonstrate competence in a multi-cultural environment and evolve as a responsible global citizen.
  • The student shall be able to practice the ethical principles and understand their social responsibilities.
  • The students shall be able to identify and integrate social and emotional skills to develop meaningful relationship with everyone.
  • The student shall be able to develop entrepreneurial orientation through innovative and creative decision making for various projects in Bioinformatics.
  • The student shall be able to develop lifelong learning approach to create new knowledge from existing knowledge.
  • The student shall be able to analyze and implement the creativity to conserve natural resources and develop sustainable technologies using bioinformatics algorithms.
  • The student will develop technical mindset to find strategic solutions to diverse problem in bioinformatics.
  • The student will have decision making capabilities to find appropriate and sustainable solutions to complex problems.
  • The student will apply modern latest IT tools and Artificial Intelligence for acquisition and analysis of biological data.
  • The student will be able to demonstrate innovative and sustainable approach in order to solve scientific problems.
  • The student will be confident in communication, interpersonal skills and relationship-building.
  • The student will be able to demonstrate team work and conflict resolution strategies through leadership qualities
  • The student will be a responsible global citizen with environment conserving attitude.
  • The student will demonstrate ethically, environmentally and socially aware attitude.
  • The student will develop entrepreneurial skills through innovative and creative decision making.
  • The student will have lifelong learning approach to create new knowledge from existing knowledge.
  • 1. The student will be able to develop conceptual as well as applied knowledge and skills in the field of Bioinformatics to attain academic excellence.
  • 2. The student will imbibe skills of dynamic and active learning approach to understand computational biology.
  • 3. The student will demonstrate research aptitude to conduct innovative research in thrust areas like modern latest IT tools and Artificial Intelligence for acquisition and analysis of biological data.
  • 4. The student will proficiently use and apply information and communication technologies and participate in collective networks.
  • 5. The student will demonstrate innovative and sustainable approach in order to solve scientific problems.
  • 6. The student will be confident in communication, interpersonal skills and relationship-building.
  • 7. The student will combine scientific novelty and thoughtful thinking to critically evaluate concepts before execution.
  • 8. The student will have decision making capabilities to find appropriate and sustainable solutions to complex problems.
  • 9. The student will demonstrate team work and conflict resolution strategies through leadership qualities
  • 10. The student will be a responsible global citizen who could easily adapt in multicultural environment conserving.
  • 11. The student will demonstrate ethically and socially aware attitude.
  • 12. The students will identify and associate social and emotional skills to develop meaningful relationship with everyone.
  • 13. The student will develop entrepreneurial skills through innovative and creative decision making.
  • 14. The student will have lifelong learning approach to create new knowledge from existing knowledge.
  • 15. The student will analyse and implement the creativity to conserve natural resources and develop sustainable technologies using bioinformatics algorithms.

Course Structure

  • 1st Year
  • 2nd Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
General Chemistry (UG) Basic Sciences Courses 2 1 2 0 4.00 View
Basic Electrical Engineering (UG) Engineering Sciences Courses 2 1 2 0 4.00 View
Introduction to Computers and Programming in C (UG) Engineering Sciences Courses 2 0 2 0 3.00 View
Mathematics For Life Sciences-I (UG) Basic Sciences Courses 2 1 0 0 3.00 View
Basic Physics-I for Bio Sciences (UG) Basic Sciences Courses 0 0 0 0 0.00 View

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Mathematics For Life Sciences-II (UG) Basic Sciences Courses 2 0 0 0 2.00 View
Basic Physics-II for Bio Sciences (UG) Basic Sciences Courses 2 0 0 0 2.00 View
Applied Chemistry (UG) Basic Sciences Courses 2 1 2 0 4.00 View
Database Management Systems (UG) Engineering Sciences Courses 3 1 2 0 5.00 View
Environmental Studies (UG) Basic Sciences Courses 4 0 0 0 4.00 View

Semester 3

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Term Paper (UG) Non Teaching Credit Courses 0 0 0 0 1.00 View
Python for Biologist (UG) Engineering Sciences Courses 3 0 2 0 4.00 View
Object Oriented Programming Using C++ (UG) Engineering Sciences Courses 3 0 2 0 4.00 View
Basic Bioinformatics (UG) Core Courses 3 0 2 0 4.00 View
Data Structure Using C for Life Science (UG) Core Courses 0 0 0 0 0.00 View
Genetics (UG) Basic Sciences Courses 3 0 2 0 4.00 View
Essentials of Material Science for Biologists (UG) Core Courses 2 0 0 0 2.00 View