Science
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Integrated M.Sc
5 Years
12 Colleges
Integrated M.Sc Syllabus 2026
The Integrated M.Sc (Integrated M.Sc) syllabus covers a structured programme spanning 5 Years designed to build both foundational knowledge and specialised expertise. The curriculum varies by specialisation, with 5 specialisations available including Chemistry, Economics, Life Science. Below is the detailed semester-wise subject breakdown and programme structure.
Integrated M.Sc Semester-wise Subjects
Integrated M.Sc Syllabus & Subjects
Foundation Phase (Years 1-2)
| Subject Area | Topics |
|---|---|
| Mathematics | Calculus, Linear Algebra, Differential Equations, Probability & Statistics, Real Analysis |
| Physics | Classical Mechanics, Electrodynamics, Optics, Thermodynamics, Modern Physics |
| Chemistry | Organic, Inorganic, Physical Chemistry, Spectroscopy, Chemical Bonding |
| Biology | Cell Biology, Genetics, Biochemistry, Ecology (at IISERs/NISER) |
| Computing | Programming (Python/C), Data Structures, Computational Methods |
| Humanities/Social Sciences | HSS electives (IITs), Humanities courses (IISERs) |
Specialisation Phase (Years 3-4)
| Discipline | Advanced Subjects |
|---|---|
| Physics | Quantum Mechanics, Statistical Mechanics, Solid State Physics, Nuclear Physics, General Relativity, Particle Physics |
| Chemistry | Quantum Chemistry, Organometallic Chemistry, Polymer Chemistry, Photochemistry, Electrochemistry, Chemical Kinetics |
| Mathematics | Abstract Algebra, Topology, Functional Analysis, Differential Geometry, Number Theory, Complex Analysis |
| Biology | Molecular Biology, Immunology, Developmental Biology, Genomics, Neuroscience, Bioinformatics |
| Statistics & Data Science | Statistical Inference, Machine Learning, Stochastic Processes, Bayesian Methods, Time Series Analysis |
| Economics | Microeconomics, Macroeconomics, Econometrics, Game Theory, Development Economics |
M.Sc. Research Phase (Year 5)
- Advanced PG Courses: 2-4 graduate-level courses in the specialisation area.
- M.Sc. Thesis/Project: Supervised research project spanning 1-2 semesters - the culmination of the programme.
- Open Electives: Interdisciplinary courses from other departments.
- Seminars: Presentations on research progress and findings.
Integrated M.Sc Programme Structure & Credit Distribution
Integrated M.Sc Year-wise Curriculum
Year 1 - Broad Foundation
| Semester 1 | Semester 2 |
|---|---|
| Mathematics I | Mathematics II |
| Physics I | Physics II |
| Chemistry I | Chemistry II |
| Biology I (at IISERs/NISER) | Introduction to Computing |
| Lab courses | Lab courses + HSS elective |
Years 2-3 - Core Specialisation
| Component | Details |
|---|---|
| Major Declaration | Students choose their major discipline (typically end of Year 1 or 2) |
| Core Courses | 10-14 core courses in the major discipline |
| Labs | Advanced laboratory courses in the major |
| Electives | Open electives and interdisciplinary courses |
| Summer Projects | Research internships at labs or industry (recommended) |
Exit Option: Students can exit after Year 3 with a B.Sc. degree, or after Year 4 with a B.S. degree (at institutes that offer this under NEP).
Year 4 - Advanced Courses + Research Begins
| Component | Details |
|---|---|
| PG-level Courses | Graduate-level courses shared with M.Sc. and PhD students |
| Research Project Initiation | Selection of thesis advisor, topic identification, literature review |
| Placement Season | Campus placements for interested students |
Year 5 - Thesis & Completion
| Semester 9 | Semester 10 |
|---|---|
| 1-2 remaining courses | Thesis completion and defence |
| Active thesis research | Thesis writing and submission |
| Progress presentations | Dual degree (B.Sc. + M.Sc.) awarded |
Skills Developed in Integrated M.Sc
Skills Developed in Integrated M.Sc
Scientific & Analytical Skills
| Skill | How Developed |
|---|---|
| Deep Subject Expertise | 5 years of continuous study in one discipline, culminating in PG-level specialisation. |
| Research Methodology | M.Sc. thesis teaches hypothesis formulation, experimental design, data analysis, and scientific writing. |
| Mathematical & Statistical Analysis | Strong foundation in mathematics applicable to all science disciplines and industry roles. |
| Laboratory Techniques | Extensive lab work across multiple disciplines + advanced research lab access. |
| Programming & Computation | Python, MATLAB, R - computational skills integral to modern science. |
Professional & Transferable Skills
- Scientific Writing: Lab reports, thesis, and potentially research publications.
- Presentation Skills: Seminar presentations, thesis defence, and conference talks.
- Critical Thinking: Evaluating evidence, questioning assumptions, and drawing conclusions from data.
- Interdisciplinary Thinking: Foundation courses across disciplines enable cross-domain problem solving.
- Project Management: Managing a multi-semester thesis project independently.
Integrated M.Sc Specialisations
The syllabus and curriculum differ by specialisation. Explore all 5 available specialisations:
Chemistry
Economics
Life Science
Mathematics
Physics
View All Specialisations