Lucknow University MSc Entrance Exam 2027: Syllabus, Pattern, Eligibility

Lucknow University MSc Entrance Exam 2027 – Lucknow University offers M.Sc in more than 25 subjects – from Mathematics, Physics, Chemistry, Zoology and Botany to Biotechnology, Data Science, AI & ML, Forensic Science and Environmental Science. Each subject has its own PGET paper, and the questions come from the B.Sc syllabus of that same subject.

In this guide by LUUPDATE you will find the complete LU M.Sc entrance syllabus 2027, exam pattern, eligibility, seats, fees, expected dates and a practical preparation plan. All figures are taken from the official University of Lucknow admission brochure 2026-27 and admission-office notices; the 2027-28 notification is expected in early 2027, and we will update this page as soon as it is released.

Lucknow University MSc Entrance Exam 2027 – Highlights

Exam	LU PGET 2027 – M.Sc (all subjects)
Conducted by	University of Lucknow (Office of Admissions)
Exam pattern	100 MCQs · 2 marks each · 90 minutes · generally no negative marking · graduation-level questions
Expected notification	March–May 2027 (form May–June, exam July 2027 – expected)
Seats	Subject-wise (as per LU ordinance)
Fee (2026-27 brochure)	Regular ₹5,620–8,320/sem · Self-Finance ₹17,580–65,050/sem
Eligibility	B.Sc with the related subject – 45% (40% SC/ST/PwBD); final-year can apply
Duration	4 semesters (2 years)

About the M.Sc (all subjects) programme at Lucknow University

The 2-year M.Sc is the route to research (Ph.D.), teaching, CSIR-NET/GATE and industry roles. Seats are subject-wise, and some new-age programmes (AI-ML, Cyber Security, Data Science) run on a self-finance basis.

LU M.Sc Entrance 2027 – Expected Dates

Notification: March–May 2027 (expected)
Online application: May–June 2027 on the Samarth portal (lkouniv.ac.in)
Admit card: about a week before the exam
Entrance exam: July 2027 (expected, based on the 2026 schedule)
Result & counselling: July–August 2027

These are expected dates based on the previous cycle. Always confirm on the official website lkouniv.ac.in.

Eligibility, Seats & Fees

Eligibility: B.Sc with the related subject – 45% (40% SC/ST/PwBD); final-year can apply
Seats: Subject-wise (as per LU ordinance)
Fee: Regular ₹5,620–8,320/sem · Self-Finance ₹17,580–65,050/sem
Reservation: SC 21%, ST 2%, OBC-NCL 27%, EWS 10% (SC/ST/OBC only for UP domicile), plus PwD 5%, Freedom Fighter 2% and Defence 5% horizontal.

LU M.Sc Entrance Exam Pattern 2027

100 MCQs · 2 marks each · 90 minutes · generally no negative marking · graduation-level questions.

Lucknow University M.Sc Entrance Syllabus 2027 (Detailed)

M.Sc (Science subjects)

Each M.Sc paper is at the B.Sc level of the subject.
Physics: classical mechanics, electromagnetism, waves & optics, thermodynamics & statistical physics, quantum & modern physics, electronics, mathematical physics.
Chemistry: physical (thermodynamics, kinetics, electrochemistry, quantum), organic (reaction mechanisms, stereochemistry, named reactions), inorganic (coordination, organometallics, periodic properties), analytical chemistry.
Mathematics: abstract & linear algebra, real & complex analysis, differential equations, numerical analysis, mechanics, calculus of several variables.
Statistics: probability, distributions, statistical inference, sampling, design of experiments, regression.
Botany / Zoology / Geology / Biochemistry / Microbiology / Environmental Science: respective graduation-level core topics.

🔬 Official B.Sc. syllabus (read ‘Course Outlines / Syllabus’ on UDRC): Physics • Chemistry • Mathematics • Statistics • Botany • Zoology • Biochemistry • Microbiology (Botany dept) • Computer Science • Geology. Other subjects → udrc.lkouniv.ac.in.

M.Sc — Computer Science / AI / Data Science / Cyber Security

Graduation-level CS/IT core.
Programming: C/C++/Java/Python fundamentals, OOP concepts.
Data Structures & Algorithms: arrays, linked lists, stacks, queues, trees, graphs, sorting & searching, complexity analysis.
DBMS: ER model, relational model, normalization, SQL, transactions.
Operating Systems: processes, scheduling, memory management, deadlocks, file systems.
Computer Networks: OSI/TCP-IP, protocols, routing, network devices.
Computer Organisation & Architecture, Software Engineering, Discrete Mathematics, Theory of Computation basics.
Extra for AI / Data Science: probability & statistics, linear algebra, machine-learning basics, data analytics & visualization.
Extra for Cyber Security: network security, cryptography, information security basics.
Plus: quantitative aptitude & logical reasoning.

M.Sc. Biochemistry

Unit 1 — Fundamental Chemistry & Biomolecules – Thermodynamics, pH & Buffers, Electrochemistry, Chemical Bonding & Molecular Interactions, Solutions & Colligative Properties, Carbohydrates, Lipids, Amino Acids & Proteins
Unit 2 — Cell Biology, Microbiology & Physiology – Cell Structure, Membrane Biology, Cell Division, Cell Signalling, Microbial Diversity, Bacterial Structure, Growth & Nutrition, Microbial Metabolism
Unit 3 — Enzymes, Metabolism & Bioenergetics – Classification & Nomenclature, General Properties, Enzyme Kinetics, Inhibition, Regulation, High-Energy Compounds, Oxidative Phosphorylation, Photosynthesis (Basics)
Unit 4 — Molecular Biology, Genetics & Advanced Techniques – DNA Replication, Transcription, Translation, Gene Regulation, Genome Maintenance, Tools & Methods, Applications, Separation Techniques

M.Sc. Botany

Unit 1 — Microbial Diversity & Lower Plants (Cryptogams) – Virology, Prokaryotic Biology, Mycology, Lichens, Phycology
Unit 2 — Archegoniates & Palaeobotany – Bryophytes, Pteridophytes, Gymnosperms, Palaeobotany
Unit 3 — Angiosperms — Taxonomy, Anatomy, Development & Reproduction – Classification & Nomenclature, Families & Economic Importance, Plant Architecture, Reproductive Botany
Unit 4 — Ecology, Soil Science & Environment – Ecosystem & Communities, Plant Distribution, Soils, Pollution
Unit 5 — Cytology, Genetics & Plant Breeding – Cell Structure, Inheritance, Variation & Mutation, Plant Breeding, Biostatistics
Unit 6 — Plant Physiology – Water & Nutrients, Photosynthesis, Respiration, Metabolism, Growth Regulation
Unit 7 — Plant Biochemistry – Carbohydrates, Lipids, Vitamins, Amino Acids, Proteins, Enzymes, Bioenergetics
Unit 8 — Economic Botany & Plant Biotechnology – Crop Plants & Products, Conservation, Recombinant DNA, Applications, Plant Tissue Culture

M.Sc. Chemistry

Unit 1 — Inorganic Chemistry – Atomic Structure, Periodicity, Covalent Bonding, Weak Interactions, Solid-State Bonding, s-Block, p-Block, Noble Gases
Unit 2 — Organic Chemistry – Electronic Effects, Optical Isomerism, Geometrical & Conformational Isomerism, Alkanes & Cycloalkanes, Alkenes & Alkynes, Arenes & Aromaticity, Alkyl & Aryl Halides, Heterocyclic Compounds
Unit 3 — Physical Chemistry – Mathematical Concepts, Gaseous State, Solid State, Liquid & Liquid Crystals, Colloidal State, Kinetics, Catalysis & Buffers, First Law & Thermochemistry
Unit 4 — Quantum Chemistry, Spectroscopy & Polymer Chemistry – Quantum Theory, Molecular Orbital Theory, Rotational, Vibrational & Raman, UV-Visible & IR, NMR & Mass Spectrometry, Introduction & Characterisation, Structure & Properties, Processing & Applications

M.Sc. Computer Science

Unit 1 — Programming Fundamentals & Problem Solving – Problem Solving, Algorithms & Flowcharts, Language Basics, Control & Functions, Python Basics, Data Handling
Unit 2 — Data Structures & Algorithms – Complexity Analysis, Linear Structures, Non-linear Structures, Design Paradigms, Sorting & Searching, Graphs & Advanced Techniques
Unit 3 — Computer Organization & Architecture – Computer System, Peripherals & Software, Number Systems & Boolean Logic, Digital Circuits, Microprocessor (8086)
Unit 4 — Operating Systems – Introduction, Process Management, Memory & File Management
Unit 5 — Databases & Web Technologies – Fundamentals, Database Design, Relational Model & SQL, Web Basics, HTML & CSS, PHP
Unit 6 — Computer Networks – Network Fundamentals, Data Communication, Switching & Protocol Layers
Unit 7 — Software Engineering, Computer Graphics & AI – Process Models, Design & Testing, 2-D Graphics, 3-D Graphics & Clipping, Search & Problem Solving, Knowledge & Modern AI

M.Sc. Geology

Unit 1 — Physical Geology & Geomorphology – Science of Landforms, Wind, Glacial & Periglacial Landforms, Karst, Coastal & Slope Landforms, Fluvial & Indian Geomorphology
Unit 2 — Crystallography & Mineralogy – Crystal Morphology, Crystal Systems, Mineral Properties, Rock-Forming Minerals
Unit 3 — Structural Geology & Tectonics – Stress & Strain, Primary Structures & Folds, Faults, Joints & Fabrics, Tectonics
Unit 4 — Palaeontology – Fundamentals, Invertebrate Groups, Palaeobotany & Vertebrates
Unit 5 — Igneous & Metamorphic Petrology – Magma & Classification, Phase Equilibria & Petrogenesis, Processes & Facies, Advanced Topics
Unit 6 — Sedimentology & Stratigraphy – Sedimentary Rocks, Structures & Environments, Principles, Stratigraphy of India
Unit 7 — Applied Geology – Remote Sensing, Engineering Geology, Hydrogeology, Environmental Geology
Unit 8 — Economic Geology & Mineral Exploration – Ore Deposits, Indian Mineral Resources, Exploration Methods, Gemmology

M.Sc. Mathematics

Unit 1 — Calculus & Real Analysis – Limits & Continuity, Mean-Value Theorems & Expansions, Partial Differentiation & Curves, Riemann Integration, Improper Integrals & Special Functions, Vector Calculus, Convergence
Unit 2 — Algebra – Matrices, Groups, Rings & Fields, Vector Spaces & Transformations
Unit 3 — Complex Analysis – Analyticity, Complex Integration, Series & Residues
Unit 4 — Differential Equations & Mathematical Methods – First-Order ODEs, Higher-Order ODEs & Systems, PDEs, Integral Equations, Transforms & Calculus of Variations
Unit 5 — Geometry, Differential Geometry & Tensor Analysis – Conics & Conicoids, Curves & Surfaces, Tensors
Unit 6 — Mechanics & Numerical Analysis – Statics, Dynamics, Equations & Interpolation, Integration & Numerical ODEs
Unit 7 — Discrete Mathematics, Number Theory & Operations Research – Logic & Boolean Algebra, Combinatorics & Automata, Number Theory, Linear Programming, OR Applications

M.Sc. Physics

Unit 1 — Mechanics, Oscillations & Waves – Frames & Relativity, Vector Fields & Forces, Collisions & Rotation, Elasticity, Central Forces & Gravitation, Oscillations & Waves
Unit 2 — Optics – Coherence & Interference, Diffraction, Resolving Power, Polarization
Unit 3 — Electricity, Magnetism & Electromagnetic Theory – Electrostatics, Dielectrics, Magnetostatics, Induction & EM Waves
Unit 4 — Thermal Physics & Kinetic Theory – Laws & Potentials, Real Gases, Kinetic Theory, Black-Body Radiation
Unit 5 — Quantum Mechanics & Atomic Physics – Origins of Quantum Theory, Schrödinger Equation, Atomic Structure, Atomic Spectra
Unit 6 — Solid State Physics – Crystallography, Crystal Diffraction, Binding & Phonons, Electron Theory, Material Properties
Unit 7 — Nuclear & Particle Physics – Nuclear Properties, Decay & Detectors, Nuclear Models, Particle Physics
Unit 8 — Electronics – Circuit Fundamentals, Diodes, Transistors & Amplifiers, Feedback & Instruments
Unit 9 — Molecular Spectroscopy, Lasers, Optoelectronics & Plasma – Spectroscopy, Lasers & Non-linear Optics, Fibre Optics & Devices, Plasma Physics, Space Science

M.Sc. Statistics

Unit 1 — Probability Theory – Basic Concepts, Theorems & Bayes’ Rule, Random Variables, Limit Theorems
Unit 2 — Descriptive Statistics – Data & Presentation, Central Tendency & Dispersion, Correlation & Regression, Association of Attributes
Unit 3 — Probability Distributions & Numerical Methods – Univariate Distributions, Sampling Distributions, Interpolation, Numerical Integration
Unit 4 — Statistical Inference – Point Estimation, Interval Estimation, Hypothesis Testing
Unit 5 — Sampling Techniques – Simple Random Sampling, Stratified & Systematic Sampling, Ratio, Regression & Cluster Sampling
Unit 6 — Analysis of Variance & Design of Experiments – ANOVA, Basic Designs, Factorial Experiments
Unit 7 — Regression, Multivariate & Non-Parametric Methods – Multivariate Normal, Linear Regression, Order Statistics, Non-Parametric Tests
Unit 8 — Statistical Quality Control, Educational & Applied Statistics – Control Charts & Inspection, Test Theory & Scaling, Time Series & Index Numbers, Demography
Unit 9 — Operations Research, Queueing & Computational Statistics – Linear Programming & Allocation, Inventory & Sequencing, Queueing & Networks, R, SPSS & Programming

M.Sc. Zoology

Unit 1 — Diversity & Biology of Non-Chordates – Protozoa, Porifera & Cnidaria, Helminths & Annelids, Arthropoda & Mollusca, Echinodermata & Hemichordata
Unit 2 — Diversity & Biology of Chordates – Protochordates, Fishes & Amphibians, Reptiles & Birds, Mammals & Comparative Anatomy
Unit 3 — Biosystematics & Evolutionary Biology – Taxonomy, Theories & Mechanisms, Evidence & Patterns
Unit 4 — Ecology, Environmental Biology & Toxicology – Ecosystem & Populations, Pollution & Management, Toxicants & Effects
Unit 5 — Animal Physiology & Behaviour – Nutrition, Respiration & Circulation, Excretion, Nerve, Muscle & Endocrine, Behaviour & Biological Rhythms
Unit 6 — Cell Biology, Genetics & Cytogenetics – Cell Structure & Division, Mendelian & Beyond
Unit 7 — Molecular Biology & Biotechnology – Nucleic Acids & Gene Expression, Recombinant DNA Technology, Applications
Unit 8 — Developmental Biology & Immunology – Embryonic Development, Immune System

M.Sc. Applied Geology

Unit 1 — Physical Geology & Geomorphology – Science of Landforms, Wind, Glacial & Periglacial Landforms, Karst, Coastal & Slope Landforms, Fluvial & Indian Geomorphology
Unit 2 — Crystallography & Mineralogy – Crystal Morphology, Crystal Systems, Mineral Properties, Rock-Forming Minerals
Unit 3 — Structural Geology & Tectonics – Stress & Strain, Primary Structures & Folds, Faults, Joints & Fabrics, Tectonics
Unit 4 — Palaeontology – Fundamentals, Invertebrate Groups, Palaeobotany & Vertebrates
Unit 5 — Igneous & Metamorphic Petrology – Magma & Classification, Phase Equilibria & Petrogenesis, Processes & Facies, Advanced Topics
Unit 6 — Sedimentology & Stratigraphy – Sedimentary Rocks, Structures & Environments, Principles, Stratigraphy of India
Unit 7 — Applied Geology – Remote Sensing, Engineering Geology, Hydrogeology, Environmental Geology
Unit 8 — Economic Geology & Mineral Exploration – Ore Deposits, Indian Mineral Resources, Exploration Methods, Gemmology

M.Sc. Biostatistics

Unit 1 — Probability Theory – Basic Concepts, Theorems & Bayes’ Rule, Random Variables, Limit Theorems
Unit 2 — Descriptive Statistics – Data & Presentation, Central Tendency & Dispersion, Correlation & Regression, Association of Attributes
Unit 3 — Probability Distributions & Numerical Methods – Univariate Distributions, Sampling Distributions, Interpolation, Numerical Integration
Unit 4 — Statistical Inference – Point Estimation, Interval Estimation, Hypothesis Testing
Unit 5 — Sampling Techniques – Simple Random Sampling, Stratified & Systematic Sampling, Ratio, Regression & Cluster Sampling
Unit 6 — Analysis of Variance & Design of Experiments – ANOVA, Basic Designs, Factorial Experiments
Unit 7 — Regression, Multivariate & Non-Parametric – Multivariate Normal, Linear Regression, Order Statistics, Non-Parametric Tests
Unit 8 — Statistical Quality Control, Educational & – Control Charts & Inspection, Test Theory & Scaling, Time Series & Index Numbers, Demography & Vital Statistics
Unit 9 — Operations Research, Queueing & – Linear Programming & Allocation, Inventory & Sequencing, Queueing & Networks, R, SPSS & Programming

M.Sc. Biotechnology

Unit 1 — Biomolecules & Cell Biology – Carbohydrates, Lipids, Amino Acids & Proteins, Vitamins & Biophysical Chemistry, Cell Structure, Membrane Biology, Cell Division & Signalling
Unit 2 — Microbiology & Microbial Technology – Microbial Diversity, Growth & Nutrition, Microbial Metabolism, Bacterial Genetics & Pathogens
Unit 3 — Enzymes, Metabolism & Bioenergetics – Classification & Properties, Kinetics & Regulation, Energy & Oxidative Phosphorylation, Carbohydrate & Lipid Metabolism, Amino-Acid, Nucleotide & Integration
Unit 4 — Molecular Biology & Genetics – DNA Replication, Transcription & Translation, Gene Regulation & Genome Maintenance, Mendelian & Beyond
Unit 5 — Genetic Engineering & Recombinant DNA – rDNA Toolkit, Cloning & Analysis, Plant & Animal Systems, Genetic Engineering Applications
Unit 6 — Analytical & Biochemical Techniques – Separation Techniques, Spectroscopy, Assays & Detection
Unit 7 — Applied Biotechnology & Immunology – Clinical Applications, Immune System

M.Sc. Artificial Intelligence & Machine Learning

Unit 1 — Programming & Problem Solving – Problem Solving & Algorithms, C++, Python
Unit 2 — Data Structures & Algorithms – Data Structures, Algorithm Design
Unit 3 — Mathematical Foundations – Matrices & Linear Algebra, Calculus, Logic & Combinatorics
Unit 4 — Probability & Statistics for ML – Foundations, Random Variables & Limit Theorems, Univariate Distributions, Sampling Distributions, Estimation & Testing, Regression & Correlation
Unit 5 — Databases & Computer Fundamentals – Fundamentals, RDBMS
Unit 6 — Artificial Intelligence – Search & Problem Solving, Knowledge Representation
Unit 7 — Machine Learning & Modern AI – Learning Paradigms, Core Algorithms

M.Sc. Cyber Security & Cyber Forensics

Unit 1 — Programming & Problem Solving – Problem Solving & Algorithms, C++, Python
Unit 2 — Data Structures & Algorithms – Data Structures, Algorithm Design
Unit 3 — Computer Organization & Architecture – Computer System, Number Systems & Boolean Logic, Digital Circuits, Microprocessor (8086)
Unit 4 — Operating Systems – Introduction & Processes, Memory & File Management
Unit 5 — Databases & Web Technologies – RDBMS, Web Basics & Languages
Unit 6 — Computer Networks – Network Fundamentals, Data Communication & Protocol Layers
Unit 7 — Software Engineering & Applied Computing – Process & Testing, Foundations for Security & Forensics

M.Sc. Data Science & Data Analytics

Unit 1 — Programming & Problem Solving – Problem Solving & Algorithms, C++, Python
Unit 2 — Data Structures & Algorithms – Data Structures, Algorithm Design
Unit 3 — Databases & Data Management – Fundamentals & Design, Relational Model & SQL, R, SPSS & Programming
Unit 4 — Probability & Distribution Theory – Foundations, Random Variables & Limit Theorems, Univariate Distributions, Sampling Distributions
Unit 5 — Statistical Inference & Regression – Estimation, Testing of Hypotheses, Linear Regression, Multivariate Normal
Unit 6 — Descriptive Statistics & Sampling – Data & Summary Measures, Correlation & Association, Sampling Methods
Unit 7 — Machine Learning & Artificial Intelligence – Search & Problem Solving, Knowledge Representation, Foundations

M.Sc. Environmental Science

Unit 1 — Ecology & Ecosystems – Ecosystem, Populations & Adaptations
Unit 2 — Environmental Pollution & Management – Pollution, Legislation & Waste Management
Unit 3 — Soil Science & Natural Resources – Soil Science, Mineral & Fuel Resources
Unit 4 — Environmental Geology & Hazards – Environmental Geology, Hydrogeology
Unit 5 — Environmental Toxicology – Toxicology
Unit 6 — Biodiversity, Phytogeography & Conservation – Phytogeography, Conservation
Unit 7 — Environmental Microbiology & Biotechnology – Microbial Diversity, Applications

M.Sc. Food Processing & Food Technology

Unit 1 — Food Chemistry & Biomolecules – Carbohydrates, Lipids, Proteins & Vitamins
Unit 2 — Enzymes & Bioenergetics in Food – Enzymes, Energy & Pathways
Unit 3 — Food Microbiology – Microbiology, Fermentation & Pathogens
Unit 4 — Nutrition & Human Physiology – Nutrition, Digestion & Absorption
Unit 5 — Food Crops & Plant Resources – Crop Plants & Products
Unit 6 — Food Biotechnology – Plant Biotechnology
Unit 7 — Food Analysis & Quality – Separation & Spectroscopy, Statistical Quality Control

M.Sc. Forensic Science

Unit 1 — Forensic Chemistry & Analytical Techniques – Spectroscopy, Separation Techniques
Unit 2 — General & Organic Chemistry Foundations – Reactive Intermediates & Stereochemistry, Foundations
Unit 3 — Forensic Biology & Serology – Serology, Immunology
Unit 4 — Molecular Forensics & DNA Profiling – Nucleic Acids, DNA Techniques
Unit 5 — Forensic Toxicology – Toxicology
Unit 6 — Forensic Physics & Instrumentation – Optics, Electronics & Instruments
Unit 7 — Cell Biology & Genetics Foundations – Cell Biology, Genetics

M.Sc. Microbiology

Unit 1 — Microbial Diversity – Prokaryotic Biology, Virology, Mycology, Phycology & Lichens
Unit 2 — Microbial Physiology, Growth & Metabolism – Growth & Control, Microbial Metabolism
Unit 3 — Biomolecules, Enzymes & Bioenergetics – Macromolecules, Enzymes, Bioenergetics & Metabolism
Unit 4 — Cell Biology – Cell Structure, Cell Division & Signalling
Unit 5 — Molecular Biology & Microbial Genetics – Gene Expression, Variability
Unit 6 — Recombinant DNA & Microbial Biotechnology – rDNA Technology, Applications
Unit 7 — Immunology & Applied Microbiology – Immune System, Pathogens & Disease

M.Sc. Molecular & Human Genetics

Unit 1 — Cell Biology & Chromosomes – Cell Organisation, Chromosomes & Division
Unit 2 — Classical & Mendelian Genetics – Mendelian & Beyond, Sex & Extrachromosomal Inheritance
Unit 3 — Cytogenetics & Mutation – Structural & Numerical Changes, Mutation
Unit 4 — Molecular Biology – Replication & Central Dogma, Transcription, Translation & Regulation
Unit 5 — Genetic Engineering & rDNA Technology – Recombinant DNA, Transgenics
Unit 6 — Human Genetics & Genetic Disorders – Pedigree & Disorders
Unit 7 — Evolution & Population Genetics – Mechanisms, Statistical Tools

M.Sc. Renewable Energy

Unit 1 — Mechanics, Oscillations & Waves – Newtonian Mechanics, Oscillations & Waves
Unit 2 — Thermal Physics & Solar Radiation – Laws & Potentials, Kinetic Theory, Black-Body Radiation
Unit 3 — Electricity, Magnetism & Electromagnetic – Fields, Induction
Unit 4 — Electronics & Power Devices – Circuits, Diodes, Transistors
Unit 5 — Solid-State & Semiconductor Physics – Crystallography, Electron Theory, Properties
Unit 6 — Optoelectronics & Modern Physics – Quantum Physics, Devices
Unit 7 — Energy Chemistry & Materials – Electrochemical Energy, Functional Materials

M.Sc. Wildlife Sciences

Unit 1 — Diversity & Biology of Non-Chordates – Protozoa to Annelids, Arthropoda to Hemichordata
Unit 2 — Diversity & Biology of Chordates – Protochordates & Fishes, Reptiles to Mammals
Unit 3 — Biosystematics & Evolution – Biosystematics, Evolution
Unit 4 — Ecology & Wildlife Habitats – Ecology, Adaptations
Unit 5 — Environmental Biology & Conservation – Environmental Biology, Conservation
Unit 6 — Animal Physiology & Behaviour – Body Systems, Behaviour
Unit 7 — Wildlife Toxicology & Health – Toxicants & Effects

M.A./M.Sc. Anthropology

Unit 1 — Introduction to Socio-Cultural Anthropology – Scope & Institutions, Political & Religious Life
Unit 2 — Theoretical Principles in Socio-Cultural Anthropology – Culture & Schools
Unit 3 — Biological Anthropology – Primates & Fossils
Unit 4 — Human Genetics, Variation, Growth & Nutrition – Inheritance & Variation, Nutritional Anthropology
Unit 5 — Archaeological Anthropology – Dating & Cultures
Unit 6 — Anthropology in the Indian Context – Indian Society
Unit 7 — Applied & Action Anthropology – Applied Fields, Disasters
Unit 8 — Medical & Business Anthropology – Health & Disease, Consumer & Organisation

M.A./M.Sc. Geography

Unit 1 — Fundamentals & Geographical Thought – Concepts & Approaches, Evolution of Thought
Unit 2 — Physical Geography – Lithosphere, Atmosphere & Hydrosphere
Unit 3 — Human Geography – People & Culture, Settlements
Unit 4 — Economic & Regional Geography – Resources & Activities, Planning Regions
Unit 5 — Environmental Geography & Disaster Management – Ecosystem & Management, Hazards & Response
Unit 6 — Geography of India & the Southern Hemisphere – India’s Setting & Economy, Southern Hemisphere
Unit 7 — Political & Urban Geography – State & Geopolitics, Urban Systems
Unit 8 — Social Geography & Geography of Tourism – Social Space, Tourism

M.A./M.Sc. Home Science

Unit 1 — Human Physiology – Cell to Systems, Nervous & Reproductive
Unit 2 — Food & Nutrition – Basic Nutrition
Unit 3 — Nutrition: A Life-Cycle Approach – Life Stages
Unit 4 — Human Development I: The Childhood Years – Growth & Domains
Unit 5 — Human Development II: Adolescence & Adulthood – Adolescence to Adulthood
Unit 6 — Family Resource Management & Housing – Management & Money, Housing
Unit 7 — Textiles & Apparel – Fibres & Fabrics, Garment Construction
Unit 8 — Extension Education & Communication – Concepts & Methods

M.Sc. Nutritional Sciences

Unit 1 — Fundamentals of Human Nutrition – Concepts & Energy, Macronutrients
Unit 2 — Micronutrients & Water – Vitamins, Minerals & Water
Unit 3 — Biochemistry of Nutrition – Digestion & Absorption, Metabolic Pathways
Unit 4 — Food Science & Food Microbiology – Food Science, Preservation & Microbiology
Unit 5 — Community & Public Health Nutrition – Assessment & Problems, Programmes & Education
Unit 6 — Clinical & Therapeutic Nutrition – Principles, Dietary Management
Unit 7 — Life-Cycle Nutrition & Research Methods – Nutrition Through Life, Food Service & Research

📄 Download the LU M.Sc (all subjects) Entrance 2027 syllabus PDF (free)

How to Prepare for the Lucknow University MSc Entrance Exam 2027

Identify your exact subject paper early – the PGET is subject-specific and based on your B.Sc syllabus.
Revise all six semesters of your B.Sc core papers; final-year topics are asked as much as first-year basics.
Make formula and definition sheets – most MCQs test concepts directly.
Use IIT-JAM and CSIR-NET basic-level questions for extra practice; the topics overlap.
Take subject-wise mock tests from March 2027 and revise weak units twice.

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How to Apply

Visit the Samarth admission portal via lkouniv.ac.in and generate your LURN/registration (OTP based).
Choose the programme and fill in your personal and academic details.
Upload photo and signature (JPEG, max 50 KB each).
Pay the application fee online and take a printout.

Documents: Aadhaar, valid email and mobile number, marksheets, photo ID and caste/income/EWS certificate where applicable.

Frequently Asked Questions

What is the syllabus of the LU M.Sc entrance exam 2027?

Each M.Sc paper is based on the B.Sc syllabus of that subject. The unit-wise syllabus of every subject is listed above and in the free PDF.

What is the eligibility for LU M.Sc?

B.Sc with the related subject and 45% marks (40% for SC/ST/PwBD); final-year students can apply.

Is there negative marking in LU M.Sc entrance?

The PGET has 100 MCQs of 2 marks each in 90 minutes, generally with no negative marking – confirm in the 2027 notice.

What is the M.Sc fee at Lucknow University?

Regular about ₹5,620–8,320 per semester and Self-Finance about ₹17,580–65,050 per semester depending on the subject (2026-27 brochure).

Other Lucknow University Entrance 2027 Guides

LUUPDATE is an independent student platform and is not part of the University of Lucknow. Information is based on the official 2026-27 brochure; confirm final details in the 2027 notification.