B.Tech (Bioinformatics)

Graduate Programmes

APPLY NOW 2019 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% 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 to assemble knowledge in order to attain professional excellence and contribute to development in upcoming areas of bioinformatics.
  • The student shall be able to develop an aptitude for exploration and investigation of problems in the area of bioinformatics.
  • The student shall be able to identify problems and prepare solutions in the form of workflows and algorithms in bioinformatics.
  • The student shall use research based knowledge, learn the usage of scientific literature and proven methodology for deriving valid conclusions.
  • The students shall show effective communication skills to disseminate technical information and ability to write effective reports for professional and societal impact.
  • The student shall be able to demonstrate interpersonal skills and team spirit in various individual as well as team activities like debates, seminars.
  • The student shall be able to develop skill set to be a responsible global citizen.
  • The student shall apply commitment to ethical practice and social responsibility by following bioethical principles and cultural values.
  • The student shall be able to develop decision making capability and management skills in order to handle various projects in bioinformatics.
  • The student shall be able to develop networking skills and inculcate the habit of life- long learning.
  • The student shall be able to apply taught concepts to undertake practical, environmental and professional work thereby improving employment and entrepreneurial skills.
  • The student shall be able to translate the bioinformatics based knowledge and expertise to the benefit of society.
  • The student will demonstrate an understanding of knowledge and skills including new developments in key areas of bioinformatics with relevance to the profession of bioinformatics.
  • The student will be able to demonstrate practical that involve problem solving and learn how to make decisions regarding choice of tools/algorithms.
  • The student will develop analytical aptitude for cutting edge areas of bioinformatics.
  • The student will apply understanding of research based knowledge and scientifically validated methods to provide valid conclusions.
  • The student will develop skills to make effective and appropriate communication in both professional and social contexts.
  • The student will be able combine individual contribution and team work for various activities to produce an outcome.
  • The student will analyze new concept and apply them using technology based tools.
  • The student will develop and imbibe ethical principles which give deep insight to be culturally sensitive and socially responsible.
  • The student will demonstrate capability for management, team work, leadership and decision making based on open mindedness, objectivity and reasoned analysis in order to achieve targets.
  • The student will develop attitude, aptitude and ability to engage in lifelong learning.
  • The student will apply the concepts of knowledge gained in bioinformatics for designing efficient environmentally sustainable technologies.
  • The student will be able to apply bioinformatics knowledge to solving problems in the society.

Course Structure

  • 1st Year
  • 2nd Year
  • 3rd Year
  • 4th 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
Applied Chemistry (UG) Basic Sciences Courses 2 1 2 0 4.00 View
Basic Physics-II for Bio Sciences (UG) Basic Sciences Courses 0 0 0 0 0.00 View
Mathematics For Life Sciences-II (UG) Basic Sciences Courses 2 0 0 0 2.00 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

Semester 3

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

Semester 4

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Genetics (UG) Basic Sciences Courses 3 0 2 0 4.00 View
Machine Learning and Data Mining (UG) Engineering Sciences Courses 3 0 0 0 3.00 View
Bioanalytical Techniques (UG) Core Courses 3 0 0 0 3.00 View
Java Programming (UG) Core Courses 3 0 2 0 4.00 View
Introduction to Biophysics (UG) Core Courses 0 0 0 0 0.00 View
Biochemistry (UG) Core Courses 3 0 2 0 4.00 View

Semester 5

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Molecular Biology (UG) Core Courses 3 0 2 0 4.00 View
Concepts of Molecular Phylogenetics (UG) Core Courses 2 0 2 0 3.00 View
Computational Genomics and Genome Analysis (UG) Core Courses 3 0 2 0 4.00 View
Introduction to R and Bioconductor (UG) Core Courses 2 0 2 0 3.00 View
In-House Practical Training (UG) Non Teaching Credit Courses 0 0 0 0 2.00 View
Basic Biostatistics (UG) Employability & Skill Enhancement Courses 2 0 0 0 2.00 View

Semester 6

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Recombinant DNA Technology (UG) Core Courses 3 0 2 0 4.00 View
Basics of Systems Biology (UG) Core Courses 0 0 0 0 0.00 View
Immunoinformatics (UG) Core Courses 2 0 0 0 2.00 View
Computational Proteomics and Proteome Analysis (UG) Core Courses 3 0 2 0 4.00 View
Biotechnology and Entrepreneurship (UG) Specialisation Elective Courses 3 0 0 0 3.00 View
MATLAB Basics for Biologist (UG) Specialisation Elective Courses 0 0 0 0 0.00 View
Basics of Microbiology (UG) Employability & Skill Enhancement Courses 2 0 0 0 2.00 View
Artificial Intelligence& Machine Learning in Life Sciences (UG) Industry Specific Courses 0 0 0 0 0.00 View

Semester 7

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Economics for Engineers (UG) Human Social Sciences & Management Courses 2 0 0 0 2.00 View
Sociology for Engineers (UG) Human Social Sciences & Management Courses 1 0 0 0 1.00 View
Law for Engineers (UG) Human Social Sciences & Management Courses 2 0 0 0 2.00 View
Aspects of Indian History for Engineers (UG) Human Social Sciences & Management Courses 1 0 0 0 1.00 View
Unix Operating System and Shell Programming (UG) Specialisation Elective Courses 2 0 2 0 3.00 View
Big Data for Life Science (UG) Specialisation Elective Courses 0 0 0 0 0.00 View
Fundamentals of Molecular Modelling and Drug Design (UG) Specialisation Elective Courses 3 0 2 0 4.00 View
Biotechnology and Patent Law (UG) Specialisation Elective Courses 2 1 0 0 3.00 View
Genome Engineering (UG) Specialisation Elective Courses 2 1 0 0 3.00 View
Chemical Biology (UG) Specialisation Elective Courses 2 0 0 0 2.00 View
Clinical Data Management and SAS (UG) Specialisation Elective Courses 2 0 0 0 2.00 View
Summer Internship (UG) Non Teaching Credit Courses 0 0 0 0 2.00 View
Seminar (UG) Mandatory Courses 0 0 0 0 4.00 View
Fundamentals & Applications of Pharmaceutical Biotechnology (UG) Specialisation Elective Courses 3 0 0 0 4.00 View
Advanced Java for Biotechnology (UG) Specialisation Elective Courses 3 0 2 0 4.00 View

Semester 8

Course Title Course Type Credit L T PS SW Total Credits Syllabus
Major Project (UG) Non Teaching Credit Courses 0 0 0 0 10.00 View