MSc (Master of Science) Syllabus, Subjects, Course Curriculum, Program Structure 2023

MSc or Master of Science is an advanced course that offers many specializations such as Maths, Computer Science, Life Science, Geography, etc. The syllabus and course curriculum depends on the selected specialization.

The main objective of this course is to enable students to be able to perform well in the industry, academia and the research field. Hence, the MSc syllabus is regulated accordingly after every few years as per the demand of the scientific and research community.

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MSc Syllabus

The syllabus and course curriculum is different for each specialization. It often consists of core subjects that are to be pursued by every student enrolled in that MSc course, and on the basis of their interest they can select from the list of elective subjects offered by the college.

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The table below shows syllabus and subjects included in some of the most commonly pursued MSc specializations:

Specializations Name	Syllabus & Subjects
MSc IT	Introduction to Programming Language through C	Basic Electronics and Communication
	Database Management System (DBMS)	Data Communication and Computer Networks
	Software Engineering	Computer Graphics
MSc Computer Science	Structured and Object Oriented Programming	Visual and Dot Net programming
	Java Programming	Web Technology
	Statistics and Data Analytics	Soft Computing
	Data Compression	Web Services
MSc Psychology	Advanced Social Psychology	Organizational Behaviour
	Human Resource Management	Counselling and Behaviour Modification
	Lifespan Psychology	Research Methodology
MSc Maths	Algebra	Number Theory
	Probability Theory	Linear Programming
	Vector Analysis	Elasticity
MSc Biotechnology	Molecular Biology	Genetic Engineering
	Immunology	Animal Biotechnology
	Plant Biotechnology	Bioinformatics
	Synthetic Biology	Systems Biology
MSc Physics	Mathematical Methods	Quantum Mechanics
	Solid State Physics	Nuclear Physics
	Relativity and Cosmology	Statistical Mechanics
	Molecular Spectroscopy	Astrophysics
MSc Data Science	Fundamentals of Data Science	Machine learning
	Data Mining and Algorithms	Cyber Security
	Artificial Intelligence	Spatial Modeling
	Applied Statistics	Python Programming
MSc Economics	Game Theory	Econometrics
	Microeconomics	Macroeconomics
	Ecological Economics	Time series and regression of analysis
MSc Microbiology	Virology	Immunology
	Environmental Microbiology	Bioinstrumentation
	Enzyme Technology	Bioinformatics, Microbial Genomics and Proteomics
MSc Statistics	Ancillary Mathematics	Measure Theory and Probability
	Linear Models and Regression Analysis	Time Series Analysis
	Multivariate Analysis	Time Series Analysis
	Computer Programming	Sample Surveys

The scheme of examination is usually divided between theory and practicals in the ratio of 70:30, but not all the colleges follow it.

MSc Course Books

The table below shows some of the recommended books and readings that every student must have for better understanding and to score better in the MSc exams.

Name of the Book	Name of the Author
Logic and Prolog Programming	Saroj Kaushik
Operating Systems: Internals and Design Principles	William Stallings
Theoretical Mechanics	M. R. Spiegel,
Mathematical Statistics	J. E. Freund
Applied Immunology	Benjamin Abraham Thomas
Plant Biochemistry	Hans Walter Heldt
Text Book on Principles of Bacteriology, Virology and Immunology	Topley and Wilsons
Microbial Physiology and Metabolism	D.R. Caldwell
Introduction to Mathematical Statistics	Robert V. Hogg
Python for Data Science	Ethan Williams

Apart from these course books, colleges often provide students with the relevant study material and research articles that help them to gain better understanding of the subject.

Also check: Top MSc Entrance Exams 2023