M.Sc. (Bioinformatics)

Post Graduate Programmes

APPLY NOW 2019 Admissions

Program Code 10003

Course Overview

  • Campus
  • Noida
  • Institute
  • Amity Institute of Biotechnology
  • University
  • Amity University Uttar Pradesh
  • Program Code
  • 10003
  • Eligibility
  • B. Sc in Life Sciences / Computer Science (min 60%) & 10+2 (min 60%). Eligibility will be relaxed by 5% for Sponsored category at 10+2 level.

  • Duration
  • 2 years
  • 1st Year Non Sponsored Semester Fee (Rs. in Lacs)
  • 0.72
  • 1st Year Sponsored Semester Fee (Rs. in Lacs)
  • 1.08
 
  • Fee Structure
  • Program Educational Objectives
  • Program Learning Outcomes
1st Year Non Sponsored Semester Fee (Rs. in Lacs) : 0.72
1st Year Sponsored Semester Fee (Rs. in Lacs) : 1.08
  • The student shall develop knowledge of bioinformatics, potentially utilized for life science research.
  • The student shall be able to employ skills for exploration and investigation of problems in bioinformatics.
  • The student shall design new biological solutions (workbench/algorithms) and analyze systematically the complex and specialized concepts in Bioinformatics.
  • The student shall develop and investigate Bioinformatics based research projects.
  • The students shall develop good communication and develop networking skills and establish links with industry and alumni.
  • The student shall be able to demonstrate effectiveness and responsibility as an individual as well as in a team while maintaining accountability and output.
  • To student shall be oriented to be a responsible global citizen.
  • The student shall demonstrate knowledge of the ethical principles, law and IPR issues.
  • The student shall extend short term trainings and dissertation projects in the area of Bioinformatics in various national or international laboratories for experiential learning.
  • The student shall be able to use good managerial skills to enhance employment and entrepreneurship opportunities and able to create the virtue of lifelong learning.
  • The student shall be able to create and develop thought process for environmental conservation by developing and implementing environmentally sustainable technologies.
  • The student shall be able to apply both theoretical as well as practical concepts for the betterment of the society.
  • The student will be oriented to be responsible global citizen.
  • The student will be able to apply ethical principles in handling various issues concerning biotechnology and bioinformatics.
  • The student will apply principles of project management to manage one’s own work and/or project work as a member or a leader in a team, by work experience gathered through short term training / dissertation projects.
  • The student will organize the role of personal development, self-directed study and discovery in learning to develop life-long learning.
  • The student will be able to implement conservation of environment by using newer and better sustainable technologies.
  • The student will develop critical thought and practical understanding in the field of bioinformatics and ability to use knowledge and skills and work towards academic excellence.
  • The student will be able to explore and investigate a devise solutions to a range of complex scientific problems of technical, conceptual or abstract nature.
  • The student will design, identify and review systematically and critically appraise specialized concepts in theoretical and applied aspects of bioinformatics.
  • The student will be able to relate research principles and technical skills to plan and execute bioinformatics research projects.
  • The student will develop appropriate level of communication skills to effectively disseminate research and technical information.
  • The student will create the ability to work independently as individuals and flexibly within a team with effectiveness and responsibility.
  • The student will integrate theory, technical information and appropriate research methods for advancement of science and society.

Course Structure

  • 1st Year
  • 2nd Year

Semester 1

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Basics of Computational Biology (PG) Core Courses 3 0 0 0 3.00 View
Regulatory Affairs, Biosafety Regulations, IPR and Technology Transfer (PG) Allied Courses 3 0 0 0 3.00 View
Computer Fundamentals and C Programming (PG) Core Courses 3 0 4 0 5.00 View
Biophysics and Structural Biology (PG) Core Courses 3 0 2 0 4.00 View
Molecular Cell Biology (PG) Core Courses 3 0 2 0 4.00 View
Advanced Genetics (PG) Core Courses 3 0 2 0 4.00 View

Semester 2

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Introduction to Hadoop and MapReduce (PG) Core Courses 3 0 2 0 4.00 View
Cloud Computing and its Applications (PG) Core Courses 4 0 0 0 4.00 View
Principles in R and Bioconductor (PG) Core Courses 3 0 2 0 4.00 View
Advanced Immunology (PG) Core Courses 3 0 2 0 4.00 View
Clinical Data Management (PG) Specialisation Elective Courses 2 0 0 0 2.00 View
Biosequence Algorithm in Computing (PG) Specialisation Elective Courses 3 0 0 0 3.00 View
Relational Data Base Management System (PG) Specialisation Elective Courses 3 0 2 0 4.00 View
Data Structures Using C Language (PG) Specialisation Elective Courses 3 0 4 0 5.00 View

Semester 3

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Summer Internship (PG) Non Teaching Credit Courses 0 0 0 0 3.00 View