Programme Overview
An M.Sc is a research degree in everything but name, and we treat it as one. Two semesters of advanced coursework, then two semesters built around a dissertation with genuine laboratory or computational work behind it — not a compiled review, not a copied methodology, and defended before an external examiner who is free to fail it.
What makes this possible at a self-financed institute in western UP is the engineering campus around it. M.Sc Physics students use the engineering electronics and materials benches. M.Sc Chemistry students use analytical instrumentation that a standalone degree college could not justify buying. M.Sc Mathematics and Computer Science students use the same GPU workstations as the AI/ML centre of excellence.
Sixty seats across four subjects, cohorts of fifteen or fewer, and a NET/GATE preparation module across all four semesters at no extra charge.
"My dissertation used the spectrophotometer three afternoons a week for a full semester. At my previous college I would have been given a literature review." — Pooja Saini, M.Sc Chemistry 2025
What You Will Learn
- Advanced theory in your chosen discipline
- Experimental design and error analysis
- Instrumentation and measurement technique
- Computational and numerical methods
- Scientific literature search and critical reading
- Research proposal writing and ethics
- Data analysis in Python, R or MATLAB
- Dissertation writing to publication standard
- Seminar presentation and defence
- NET / GATE syllabus coverage and problem practice
Curriculum — Semester by Semester
Four theory papers with laboratory or computational practicals. A two-week refresher in mathematical methods and scientific computing runs before teaching begins.
- Core Paper I — foundations
- Core Paper II — advanced theory
- Core Paper III — applied topics
- Core Paper IV — mathematical methods
- Laboratory / Computational Practical I
- Scientific Computing Lab
Advanced papers plus the instrumentation and technique module. Dissertation areas are identified and supervisors allocated at the end of this semester.
- Advanced Paper V
- Advanced Paper VI
- Advanced Paper VII
- Laboratory / Computational Practical II
- Research Methodology & Ethics
- NET / GATE module — part I
Elective specialisation papers alongside the first phase of dissertation work, with a mid-term progress seminar assessed by the department.
- Specialisation Elective I
- Specialisation Elective II
- Open elective (any M.Sc subject)
- Dissertation — phase I
- Progress seminar (assessed)
- NET / GATE module — part II
Predominantly dissertation work with one remaining paper. The defence is before an internal supervisor and an external examiner from another university.
- Advanced Specialisation Elective III
- Dissertation — phase II
- Thesis writing and submission
- Viva voce before external examiner
- Laboratory teaching assistantship
- Conference / seminar presentation
Subjects Offered
M.Sc Mathematics
20 seats. Real and complex analysis, abstract algebra, topology, numerical methods and operations research, with a computational elective shared with the AI department.
M.Sc Physics
15 seats. Quantum mechanics, statistical and solid-state physics, electronics and a materials characterisation elective, using the engineering physics benches.
M.Sc Chemistry
15 seats. Organic, inorganic, physical and analytical chemistry, with spectrophotometry, chromatography and a synthesis laboratory.
M.Sc Computer Science
10 seats. Algorithms, databases, machine learning and distributed systems, taught with the engineering faculty on the same GPU workstations.
Research Dissertation
Two semesters of supervised original work with real laboratory or computational content, defended before an external examiner.
NET / GATE Module
Four semesters of syllabus coverage and problem practice for UGC-NET, CSIR-NET and GATE, included in the tuition fee.
Careers & Outcomes
Of the 2025 M.Sc batch, 29% entered teaching at intermediate or degree-college level, 24% took laboratory, quality-control or analyst employment, 21% qualified NET or GATE, and 14% moved into Ph.D. programmes — four of them outside the state.
- Assistant professor (after NET/JRF)
- Ph.D. and research positions
- Quality control and analytical chemist
- Research and development laboratories
- Data analyst and scientific programmer
- PGT teaching in intermediate colleges
- Defence, ISRO, DRDO and railway technical posts
- Pharmaceutical and food testing laboratories
Employers and destinations for this programme: Three regional pharmaceutical units, Uttam Sugar Mills and Triveni Engineering quality laboratories, private diagnostic and food testing laboratories across western UP, intermediate colleges across the district, and Ph.D. programmes at CCSU, IIT Roorkee and Jamia Millia Islamia.
Head of Department
Dr. Vandana Mittal
Ph.D. in Applied Mathematics from IIT Roorkee, CSIR-NET and JRF, with fifteen years of postgraduate teaching and twenty-two peer-reviewed publications. She coordinates the dissertation programme across all four subjects.