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.
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.
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|
|MSc Biotechnology||Molecular Biology||Genetic Engineering|
|Synthetic Biology||Systems Biology|
|MSc Physics||Mathematical Methods||Quantum Mechanics|
|Solid State Physics||Nuclear Physics|
|Relativity and Cosmology||Statistical Mechanics|
|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|
|Ecological Economics||Time series and regression of analysis|
|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 2020