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MSc Bioinformatics Syllabus, Subjects, Entrance Exam, Colleges, Projects, Books

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Sounak Banerjee

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MSc Bioinformatics is a 2 year degree that is a part of Molecular Biology. It is a cross-disciplinary field of 4 semesters. It provides expertise and knowledge in DNA sequencing, comparative genomics, analysis of mutations in cancer, genome annotation, analysis of the cellular organization, etc.

MSc Bioinformatics Admission takes place through postgraduate entrance examination like GATE and CUET PG. Students needs to clear graduation in relevant stream in order to study this subject. 

MSc Bioinformatics Course Details

Full Form Master of science in bioinformatics.
Course type Post Graduate
Duration 2 years
Examination Type Semester wise
Eligibility Bachelor’s degree with science stream
Admission process Entrance exam
Course Fee INR 1,000 – INR 4 lakhs
Average Salary (per month) INR 3 lakhs – INR 10 lakhs
Job Position Database programmer, computational biologist, bioinformatics software developer, research scientist, professor, network administrator, etc.
Programming Languages C++, Python/Perl/Java, R, PHP
Top recruiting companies Roche, QIAGEN, Roche,Innoplexus, Thermofisher Scientific, GVK Biosciences, etc.
Higher study options Ph.D. in Bioinformatics, UGC NET/SET for junior research fellowship/lecturer ship, M.Phil, MSC in mathematics/science

MSc Bioinformatics Syllabus

Semester 1 Semester 2
Basic mathematics Molecular biology
Computer fundamentals Bioinformatics
Cell developmental biology Internet and web-based programming
Biomolecules Object-oriented programming
Practical Design and analysis of algorithms
- Practical
Semester 3 Semester 4
Data management system Project work
Bioinformatics I -
Bioinformatics II -
Recombinant JAVA programming -
JAVA programming -
Practical -

MSc Bioinformatics subjects

 Introduction to Bioinformatics - students will learn about Bioinformatics as an Emerging Discipline, Applications of Bioinformatics in Various Areas,FASTQ and Structured File Formats. Topics like Methods of Sequence Analysis, Phylogenetic Analysis, Secondary Structure Analysis Tools and Biological Databases are included.

Computing Fundamental-Computing Concepts like the History of computing, the History of Computing Software are taught in the course. Data Representation and Number Systems, Gates and Circuits, Computer Networks, and Operating Systems are explained in the course.

Programming in C++ - Programming Basics, Classes and Objects, Control Structures & Functions, Arrays, Overloading & InheritanceandGeneric Function, Exception and File Handling are covered in this.

Systems Biology - Students will learn about Application areas of Systems Biology, System-level-Understanding of Biological Systems, Introduction, Measurement Technologies and experimental methods, System structure identification etc 

Biochemistry - This includes Introduction, Amino Acids, Carbohydrates, Lipids and Nucleic acids. Some important properties of water, dissociation of water and its ion product, Kw, buffer and buffering capacity pH are included in this course.

Essential Mathematics & Biostatistics- Students will learn about Basic Mathematics: Vectors: Vector algebra, Dot and Cross products and Correlation & Regression: Methods of studying simple correlation: Scatter Diagram, KarlPearson’s Co-efficient of Correlation, Spearman’s Rank Correlation. 

Programming in R - Students are taught Basic Data Types, Qualitative Data, Packages & Bioinformatics Applications, Matrix & Probability Distributions and Matrix & Probability Distributions.

MSc Bioinformatics Entrance Exam Syllabus

Particulars Details
Mode of exam Computer based
Duration of exam 2 hours
Type of questions multiple-choice questions.
Medium of exam English and Hindi (Bilingual) except for language and Sahitya papers

MSc Bioinformatics Syllabus in JMI

Semester 1 Semester 2
Introduction to Bioinformatics Systems Biology
Computing Fundamentals Biochemistry
Programming in C++ Essential Mathematics & Biostatistics
Comparative and Functional Genomics Database Management System
Chemoinformatics and Chemogenomics Elective-I
Lab-I (Bioinformatics Tools) Lab-III (MySql/Oracle)
Lab-II (C++& Linux ) Lab-IV (Systems Biology and Advance Bioinformatics Tools)
Semester 3 Semester 4
NGS Data Analysis Major Project
Structural Bioinformatics and Drug Design  -
Programming in R -
Web-based Programming -
Elective-II -
Lab-V (Drug Design + NGS) -
Minor Project  -

BHU MSc Bioinformatics Syllabus

Semester 1 Semester 2
Introduction to Programming Languages and Programming Through C Data Structures and Algorithms
Cell Biology and Genetics Microbiology and Biotechnology
Essential Mathematics and Statistics I Essential Mathematics and Statistics II
Introduction to Bioinformatics Basic Biochemistry and Immunology
- Comprehensive Viva
Semester 3 Semester 4
DBMS with reference to Biological Data Tools and Techniques (One of the electives given below*)
Biodiversity and Ecological Informatics Applications of Bioinformatics
Genoinformatics Molecular Biology Techniques
Prediction of Protein Structure and Modeling Seminar
- Comprehensive Viva
- Project Work

MSc Bioinformatics Syllabus in University of Pune 

Semester 1 Semester 2
Basic Biology Cell Biology, Genetics & Genomics 
Mathematics For Bioinformatics Structural Biology & Bioinformatics 
Statistical Techniques  Chemoinformatics 
Biological Chemistry  Immunology and Bioinformatics
Genetic Information Flow & Processing  Programming in Object Oriented Languages 
Basic Concepts in Computing Programming in C 
Introduction to Database Systems  Computational Structural Biology 
Biological Databases and Data Analysis Laboratory Techniques in Modern Biology 
Programming in Perl  UNIX & Linux Commands & Scripting
Semester 3 Semester 4
Molecular Phylogenetics Advanced Techniques for Sequence and Structure Analysis 
Genome to Drug and Vaccine  Metabolic Engineering & Systems Biology 
Molecular Modeling & Simulations  Emerging Areas in Bioinformatics 
Comparative Genomics and Proteomics  Project work 
Database design & web-implementation  -
Scientific Data Visualization  -
Tools & Techniques for Biological Data Mining -
Project (Phase I) & Review  -

MSc Bioinformatics Syllabus in University Of Mumbai

The course aims to Develop trained manpower in the field of Bioinformatics with for working effectively in the Indian Pharma and Biotech industry. The semester wise syllabus for University of Mumbai is listed below:

Semester 1 Semester 2
Fundamentals of Biology Fundamentals of Biology
Sequence analysis & taxonomy Sequence analysis & taxonomy
Biostatistics Immunology and Bioinformatics 
Programming Language & Databases Programming Language & Databases 
Semester 3 Semester 4
Molecular Modeling & Drug Designing Molecular Modeling & Drug Designing
Proteomics and Genomics Proteomics and Genomics 
Application of Bioinformatics Application of Bioinformatics
Concepts of computing Concepts in computing

MSc Bioinformatics Course Structure

M.Sc Bioinformatics course is of two years and has a total of four semesters. Each year includes 2 semesters. The Master of Science in Bioinformatics syllabus includes both core and elective subjects, practical lab sessions to enhance the theoretical concepts. There will be Project work that is to be submitted by the end of the fourth semester. 

MSc Bioinformatics Teaching Methodology and Techniques

This M.Sc. Program in Bioinformatics is designed to provide proper training and meets the demand of pharmaceutical industry and strengthens research collaboration.

The M.Sc Bioinformatics has different teaching methods like lectures and practical training. The list of teaching methodologies used in MSc Bioinformatics are Projects, Practical Lab Sessions, Conceptualized Learning, Seminars, Traditional Classroom-Based Teaching.

MSc Bioinformatics Projects

How to select topic for yor MSc bioinformatics projects :

  1. Write and Select a topic from your area of interest
  2. Address a problem & provide a solution
  3. Discuss with your mentor and research thoroughly
  4. Pick a project that suits best according to the skillsets of your team
  5. Choose a final year project that has a great futuristic scope
  6. Identify all the resources at your disposal
  7. Use resources and research thoroughly for building your final year projects

Examples for MSc Bioinformatics projects are :

  1. Personalised medicine and disease modelling
  2. Investigating the evolutionary origins of genomic dark matter in prokaryotes
  3. Machine learning to makes some prediction using biological data
  4.  Python for developments of suits and data analysis 
  5. Reconstructing symbiont strains from long-read metagenomics
  6. The evolution of auxiliary metabolic genes in bacteriophages

MSc Bioinformatics Books

Book Name Author Name
Starr, 1998, Cell biology and genetics Thomson Harmes. Biochemistry 2nd Ed. Viva Books
Organic spectroscopy William Kemp
.Learning C++  Boardman
Computer Fundamentals Sinha
Principles of Protein structure Schultz, G. E., and Schirmer, R. H. Dr. Shakti Sahi
Introduction to Bioinformatics Algorithms Neil C. Jones, PavelPevzner 
Beginning Perl for Bioinformatics James Tisdall

MSc Bioinformatics Syllabus: FAQs

Ques. What is MSc informatics?

Ans. The msc informatics is a 2 year master program for students who want to continue studying informatics after their completion of bachelor’s degree.The course will help you with an advanced and research oriented competence in informatics.

Ques.Who can study MSc bioinformatics? 

Ans. In india the eligibility criteriafor msc bioinformatics is that students must have completed bachelor’s degree in science stream with a minimum of 50% in the examination from a recognized college.

Ques.Does Bioinformatics require coding?

Ans. It is important to know how to code in bioinformatics.To build effective solutions, it is necessary to code effectively and learn the patterns of coding.

Ques. What skills should a bioinformatics have?

Ans.The necessary skills for bioinformatics are ability to manage,analyze and interpret data.Students must have broad knowledge of bioinformatics analysis methods,familiarity with genomic data and functional genetic and many more.

Ques. Is Bioinformatics better than computer science?

Ans. If astudent has interest in interdeciplinary fashion then it would a great fit for you.If you have interest in learning hpowto empower many industries and organisations which includes mathematicsand programming to solve real time problems.

Ques. What is the study of informatics?

Ans. Informatics is the science of how to use data,knowledge and information to the health of human beings and the delivery of healthcare services.

Ques. What are the different types of informatics?

Ans. The different types of informatics are Clinical research informatics,Consumer health informatics,Clinical informatics.

Ques. Is informatics a good career?

Ans. For healthcare informatics the job opportunities are abundant. Most health informatics roles consists of technology,analytics and leadership as well .

Ques. Where do bioinformaticswork?

Ans. Bioinformatics can work in energy development,environmental restoration,biomedical,biotechnology and animal science fields.

Ques. Can bioinformatician work in a lab?

Ans. Bioinformatics engineer can work in a lab or out in fields.

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