B.Tech (Bioinformatics)

Graduate Programmes

APPLY NOW 2020 Admissions

Program Code 10042

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity Institute of Biotechnology
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 10042
  • Eligibility
  • min. 60% in class X & XII with min. 60% in PCM/PCB for Non-sponsored & 55% in PCM/PCB for Sponsored category.

  • Duration
  • 4 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.93
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 1.395
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.93
1st Year Sponsored Semester Fee (Rs. in Lacs) : 1.395
  • 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 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.

Course Structure

  • 1st Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
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
General Chemistry (UG) Basic 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
Basic Electrical Engineering (UG) Engineering Sciences Courses 2 1 2 0 4.00 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 0 0 0 0 0.00 View
Applied Chemistry (UG) Basic Sciences Courses 2 1 2 0 4.00 View
Environmental Studies (UG) Basic Sciences Courses 4 0 0 0 4.00 View
Database Management Systems (UG) Engineering Sciences Courses 3 1 2 0 5.00 View