What is an MSc Course?
The full form of MSc is Master of Science. It is a 2 year-long postgraduate program with a variety of specialties available, including math, computer science, life science, geography, etc. The MSc syllabus and subjects are determined by the chosen specialization. Read More: What is an MSc degree
The fundamental goal of the MSc course is to equip students with the skills they need to succeed in the workplace, in school, and the world of research. As a result, the MSc syllabus is periodically adjusted to reflect changes in the needs of the scientific and research communities. Know More: MSc Course
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MSc Courses:
MSc Syllabus: Important Facts
- MSc Course Duration: The MSc course lasts two years and consists of four semesters. These four semesters include a variety of subjects, including chemistry, physics, physiology, math, anatomy, etc.
- MSc Subjects: Some of the important MSc subject areas are Mechanics, Cell Biology, Analytical Chemistry, and Mathematical Physics. Additionally, candidates can select a specialization based on their interests.
- MSc Scope: Indian candidates who complete the MSc course can go on to do an M. Phil. or a PhD. They can also look for employment in prestigious public and private organizations that offer positions relevant to their educational background. After finishing this two-year course, students may engage in space research or take on a variety of positions in biotechnical companies, government agencies like DRDO, etc.
- MSc Syllabus in NIT: NITs are experts in offering MSc courses in mathematics, physics, and chemistry. For students to apply for admission into any of these MSc specializations, their BSc grade point average must be at least 60%.
- Test format: Both theoretical and practical papers are included in the exam to assess students' performance and subject knowledge. End-of-semester tests are given to measure how well pupils have prepared.
Further Reading: BSc Syllabus
MSc Syllabus
MSc syllabus for different MSc specializations varies. It frequently comprises core subjects that must be studied by all students enrolled in that MSc course, and they can choose from the college's list of elective subjects based on their areas of interest.
MSc Syllabus: Physics
Must Read:
| Mathematical Methods | Quantum Mechanics |
| Solid State Physics | Nuclear Physics |
| Relativity and Cosmology | Statistical Mechanics |
| Molecular Spectroscopy | Astrophysics |
MSc Syllabus: Chemistry
| Inorganic Chains, Rings, and Clusters | Group Theory and Quantum Chemistry |
| Stereochemistry and Reaction Mechanism | Analytical Chemistry |
| Inorganic Semimicro | Physical Chemistry Experiments Lab |
MSc Syllabus: Mathematics
Further Reading: MSc Mathematics Syllabus
| Algebra | Number Theory |
| Probability Theory | Linear Programming |
| Vector Analysis | Elasticity |
MSc Syllabus: Computer Science
Must Read: 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 Syllabus: IT
Further Reading:
| Introduction to Programming Language through C | Basic Electronics and Communication |
| Database Management System (DBMS) | Data Communication and Computer Networks |
| Software Engineering | Computer Graphics |
MSc Syllabus: Psychology
| Advanced Social Psychology | Organizational Behaviour |
| Human Resource Management | Counseling and Behaviour Modification |
| Lifespan Psychology | Research Methodology |
Also Read:
MSc Syllabus: Biotechnology
| Molecular Biology | Genetic Engineering |
| Immunology | Animal Biotechnology |
| Plant Biotechnology | Bioinformatics |
| Synthetic Biology | Systems Biology |
Further Reading:
MSc Syllabus: Biology
| Virology | Immunology |
| Environmental Microbiology | Bioinstrumentation |
| Enzyme Technology | Bioinformatics, Microbial Genomics and Proteomics |
Further Reading:
MSc Syllabus: Data Science
| Fundamentals of Data Science | Machine learning |
| Data Mining and Algorithms | Cyber Security |
| Artificial Intelligence | Spatial Modeling |
| Applied Statistics | Python Programming |
Further Reading: MBA in Data Science
MSc Syllabus: in IITs
Students accepted into MSc courses at IITs have access to several specializations. These programs can be used to get master's degrees in a variety of fields, including physics, anatomy, astronomy, economics, mathematics, and computing. The students' chosen area of specialization affects both the core and elective subjects. For instance, the following ideas are addressed during the course of four semesters in MSc Physics:
- Electromagnetic Theory
- Classical Mechanics
- Geophysics
- Matter
- Astrophysics
- Nuclear Physics
MSc Subjects
MSc Subjects give students a thorough understanding of science's theoretical, research-focused, and practical knowledge. Each specialization of the MSc syllabus covers a variety of M.Sc subjects, enhancing student knowledge and preparing them with practical abilities to meet the expectations of any working business.
To make the M.Sc syllabus more flexible, students study these topics throughout four semesters as part of their M.Sc specializations. Every specialty has a long list of M.Sc. subjects that broaden the student's understanding for a prosperous future job.
MSc Subjects List
The list of topics for the M.Sc. in Mathematics is below:
- Complex Analysis
- Real Algebra
- Mathematical Statistics
- Electromagnetic Theory
- Numerical Research
- Special Theory of Relativity
- Theory of Optimisation
- Computer Applications
- Differential Geometry
MSc Physics Syllabus
The syllabus for MSc Physics consists of both core as well as elective subjects, which are listed below:
MSc in Physics Core Subjects
The table below shows the MSc in physics subjects:
| Subject Name | Details |
|---|---|
| Quantum mechanics | This teaches different Behaviours and properties of light on different scales. |
| Classical Mechanics | Motions of macroscopic objects like planets, stars, spacecraft, etc. |
| Optics & Atomic & Molecular Physics | The relation between light and matter is studied in-depth in this subject. |
| Condensed Matter Physics | Study of different properties of solids,i.e structural and electromagnetic properties. |
| Quantum computing | Finding new quantum computing ways |
| Biophysics | Biological system: The theories and concepts |
| Astrophysics | The Study of the universe and the cosmos at different scales. |
| Geophysics | Studying the environment and the earth |
MSc in Physics Elective Subjects
| SubjectName | Details |
|---|---|
| Bioinformatics Applications for System Analysis | Genetic therapy, preventive medicine, and other uses of bioinformatics are discussed in this article. |
| Introduction to Molecular Spectroscopy | This article covers the definition, concept, and application of Molecular Spectroscopy. |
| Polymer Synthesis | The definition, nature, and classification of polymer synthesis, i.e., polymerization is discussed in this article. |
| Chemistry Engineering | Includes studies surrounding the structure and function of chemical plants. |
| Advanced Organic Chemistry | Spectroscopy, medical chemistry, reduction, oxidation, and other concepts are covered in this article. |
| Nanoscience | The flexible concepts and principles of nanoscience are described in this article. |
| Food Chemistry | Includes chemicals surrounding food storage, processing, and storage. |
| Advanced Inorganic Chemistry | The theory and application of the principles of inorganic chemistry. |
MSc Syllabus: Books
Here is a list of the recommended books for students pursuing MSc courses and exams:
| Name of the Book | Author Name |
| 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 |
| Textbook 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 |