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

MSc Bioinformatics Syllabus

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

MSc Bioinformatics Syllabus in JMI

BHU MSc Bioinformatics Syllabus

MSc Bioinformatics Syllabus in University of Pune 

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:

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