GATE Syllabus 2025 (Paper-Wise)
The GATE exam syllabus 2025 includes 3 core sections Engineering Mathematics, General Aptitude, and Core Engineering topics. The GATE 2025 Syllabus must be well understood by students so that they can become familiar with the key subjects and prepare a study plan. The GATE 2025 question paper will comprise 65 questions worth 100 marks, with 15 marks reserved for general aptitude questions. The GATE 2025 paper codes AR, CY, EY, GG, MA, PH, XH, and XL will have 15 marks for general aptitude and 85 for the specific subject. All other paper codes, except AR, CY, EY, GG, MA, PH, XH, and XL, will have 15 marks for general aptitude, 13 for engineering mathematics, and 72 for the core specialized topic.
GATE syllabus 2025 for all the 30 papers have been given below.
GATE Paper | GATE Section-Wise Syllabus |
|---|
Aerospace Engineering | Section 1: Engineering Mathematics Section 2: Flight Mechanics Section 3: Space Dynamic Section 4: Aerodynamics Section 5: Structures Section 6: Propulsion |
Agricultural Engineering | Section 1: Engineering Mathematics Section 2: Farm Machinery Section 3: Farm Power Section 4: Soil and Water Conservation Engineering Section 5: Irrigation and Drainage Engineering Section 6: Agricultural Process Engineering Section 7: Dairy and Food Engineering |
Architecture and Planning | Section 1: Architecture, Planning and Design Section 2: Construction and Management Section 3: Environmental Planning and Design Section 4: Urban Design, landscape and Conservation Section 5: Planning process Section 6: Housing Section 7: Services and Infrastructure Section B1.1: History and Contemporary Architecture Section B1.2: Building Construction and Structural Systems Section B1.3: Building Services and Sustainability Section B2.1: Regional and Settlement Planning Section B2.2: Planning Techniques and Management Section B2.3: Infrastructure Planning |
Biomedical Engineering | Section 1: Engineering Mathematics Electrical Circuits Signals and Systems Analog and Digital Electronics Measurements and Control Systems Sensors and Bioinstrumentation Human Anatomy and Physiology Medical Imaging Systems Biomechanics Biomaterials |
Biotechnology | Section 1: Engineering Mathematics Section 2: General Biology Section 3: Genetics, Cellular and Molecular Biology Section 4: Fundamentals of Biological Engineering Section 5: Bioprocess Engineering and Process Biotechnology Section 6: Plant, Animal and Microbial Biotechnology Section 7: Recombinant DNA Technology and Other Tools in Biotechnology |
Civil Engineering | Section 1: Engineering Mathematics Section 2: Structural Engineering Section 3: Geotechnical Engineering Section 4: Water Resources Engineering Section 5: Environmental Engineering Section 6: Transportation Engineering Section 7: Geomatics Engineering |
Chemical Engineering | Section 1: Engineering Mathematics Section 2: Process Calculations and Thermodynamics Section 3: Fluid Mechanics and Mechanical Operations Section 4: Heat Transfer Section 5: Mass Transfer Section 6: Chemical Reaction Engineering Section 7: Instrumentation and Process Control Section 8: Plant Design and Economics Section 9: Chemical Technology |
Computer Science and Information Technology | Section 1: Engineering Mathematics Section 2: Digital Logic Section 3: Computer Organization and Architecture Section 4: Programming and Data Structures Section 5: Algorithms Section 6: Theory of Computation Section 7: Compiler Design Section 8: Operating System Section 9: Databases Section 10: Computer Networks |
Chemistry | Section 1: Physical Chemistry Section 2: Inorganic Chemistry Section 3: Organic Chemistry |
Data Science and Artificial Intelligence | Probability and Statistics Linear Algebra Calculus and Optimization Programming, Data Structures and Algorithms Database Management and Warehousing Machine Learning AI |
Electronics and Communication Engineering | Section 1: Engineering Mathematics Section 2: Networks, Signals and Systems Section 3: Electronic Devices Section 4: Analog Circuits Section 5: Digital Circuits Section 6: Control Systems Section 7: Communications Section 8: Electromagnetics |
Electrical Engineering | Section 1: Engineering Mathematics Section 2: Electric circuits Section 3: Electromagnetic Fields Section 4: Signals and Systems Section 5: Electrical Machines Section 6: Power Systems Section 7: Control Systems Section 8: Electrical and Electronic Measurements Section 9: Analog and Digital Electronics Section 10: Power Electronics |
Environmental Science and Engineering | Section 1: Mathematics Foundation Section 2: Environmental Chemistry Section 3: Environmental Microbiology Section 4: Water Resources and Environmental Hydraulics Section 5: Water & Wastewater Treatment and Management Section 6: Air and Noise Pollution Section 7: Solid and Hazardous Waste Management Section 8: Global and Regional Environmental Issues Section 9: Environmental Management and Sustainable Development |
Ecology and Evolution | Section 1: Ecology Section 2: Evolution Section 3: Mathematics and Quantitative Ecology Section 4: Behavioural Ecology Section 5: Applied Ecology & Evolution |
Geomatics Engineering | Engineering Mathematics Remote Sensing GNSS GIS - Part-B1: Surveying and Mapping
Maps Land Surveying Aerial Photogrammetry - Part-B2: Image Processing and Analysis
Data Quantization and Processing: Digital Image Processing Radiometric and Geometric Corrections: Image Enhancement Image Transformation Image Segmentation and Classification |
Geology and Geophysics | Earth and planetary system Weathering and soil formation; landforms created by river, wind, glacier, ocean and volcanoes. Basic structural geology Crystallography Petrology of common igneous, sedimentary and metamorphic rocks. Geological time scale; Geochronology and absolute time. Stratigraphic principles; major stratigraphic divisions of India. Mineral, coal and petroleum resources of India. Introduction to remote sensing. Engineering properties of rocks and soils. Elements of hydrogeology Principles and applications of gravity, magnetic, electrical, electromagnetic, seismic and radiometric methods of prospecting for oil, mineral and ground water; introductory well logging. Geomorphology Structural Geology Crystallography and Mineralogy: Geochemistry Igneous Petrology Sedimentology: Metamorphic Petrology Paleobiology Stratigraphy Resource Geology Global Tectonics Applied Geology Hydrogeology Basic Principles of Remote Sensing Solid-Earth Geophysics: Geodesy Earthquake Seismology Potential and Time Varying Fields: Gravity Methods Magnetic Methods Electrical Methods Electromagnetic Methods Seismic Methods Reservoir geophysics Geophysical Signal Processing Geophysical Well Logging: Radioactive Methods Geophysical Inversion: |
Instrumentation Engineering | Section 1: Engineering Mathematics Section 2: Electricity and Magnetism Section 3: Electrical Circuits and Machines Section 4: Signals and Systems Section 5: Control Systems Section 6: Analog Electronics Section 7: Digital Electronics Section 8: Measurements Section 9: Sensors and Industrial Instrumentation Section 10: Communication and Optical Instrumentation |
Mathematics | Calculus Linear Algebra Real Analysis Complex Analysis Ordinary Differential Equations Algebra Functional Analysis Numerical Analysis Partial Differential Equations: Topology Linear Programming |
Mechanical Engineering | Section 1: Engineering Mathematics Section 2: Applied Mechanics and Design Section 3: Fluid Mechanics and Thermal Sciences Section 4: Materials, Manufacturing and Industrial Engineering |
Mining Engineering | Section 1: Engineering Mathematics Section 2: Mining Geology, Mine Development and Surveying Section 3: Geomechanics and Ground Control Section 4: Mining Methods and Machinery Section 5: Surface Environment, Mine Ventilation and Underground Hazards Section 6: Mineral Economics, Mine Planning, Systems Engineering |
Metallurgical Engineering | Section 1: Engineering Mathematics Section 2: Metallurgical Thermodynamics Section 3: Transport Phenomena and Rate Processes Section 4: Mineral Processing and Extractive Metallurgy Section 5: Physical Metallurgy Section 6: Mechanical Metallurgy Section 7: Manufacturing Processes |
Naval Architecture and Marine Engineering | Section 1: Engineering Mathematics Section 2: Applied Mechanics and Structures Section 3: Fluid Mechanics and Marine Hydrodynamics Section 4: Naval Architecture and Ocean Engineering Section 5: Thermodynamics and Marine Engineering |
Petroleum Engineering | Linear Algebra: Calculus Differential Equations Complex Variables Probability and Statistics Numerical Methods Petroleum Exploration Oil and Gas Well Drilling Technology Reservoir Engineering Petroleum Production Operations Offshore Drilling and Production Practices Petroleum Formation Evaluation Oil and Gas Well Testing Health Safety and Environment in Petroleum Industry Enhanced Oil Recovery Techniques Latest Trends in Petroleum Engineering |
Physics | Section 1: Mathematical Physics Section 2: Classical Mechanics Section 3: Electromagnetic Theory Section 4: Quantum Mechanics Section 5: Thermodynamics and Statistical Physics Section 6: Atomic and Molecular Physics Section 7: Solid State Physics Section 8: Electronics Section 9: Nuclear and Particle Physics |
Production and Industrial Engineering | Section 1: Engineering Mathematics Section 2: General Engineering Section 3: Manufacturing Processes I Section 4: Manufacturing Processes II Section 5: Quality and Reliability Section 6: Industrial Engineering Section 7: Operations research and Operations management |
Statistics | Calculus Matrix Theory Probability Standard Discrete and Continuous Univariate Distributions Stochastic Processes Estimation Testing of Hypotheses Non-parametric Statistics Multivariate Analysis Regression Analysis |
Textile Engineering and Fibre Science | Linear Algebra Calculus Differential Equations Probability and Statistics Numerical Methods - TEXTILE ENGINEERING AND FIBRE SCIENCE
Section 1: Textile Fibres Section 2: Yarn Manufacture, Yarn Structure and Properties Section 3: Fabric Manufacture, Structure and Properties Section 4: Textile Testing Section 5: Chemical Processing |
Engineering Sciences | A Engineering Mathematics (Compulsory for all XE students) XE-B Fluid Mechanics XE-C Materials Science XE-D Solid Mechanics XE-E Thermodynamics XE-F Polymer Science and Engineering XE-G Food Technology XE-H Atmospheric and Oceanic Sciences |
Humanities and Social Sciences | XH-B1 Reasoning and Comprehension (Compulsory for all XH students) XH-C1 Economics XH-C2 English XH-C3 Linguistics XH-C4 Philosophy XH-C5 Psychology XH-C6 Sociology |
Life Sciences | XL-P Chemistry (Compulsory for all XL students) XL-Q Biochemistry XL-R Botany XL-S Microbiology XL-T Zoology XL-U Food Technology |
Related Questions
Q1- What is the GATE syllabus 2025 for Civil Engineering?
Ans- The GATE syllabus 2025 for Civil Engineering (CE) has seven sections: Engineering Mathematics, Structural Engineering, Water Resources Engineering, Transportation Engineering, Geotechnical Engineering, Environmental Engineering, and Geomatics Engineering.
Q2- Does the syllabus for Engineering Mathematics and GATE Mathematics papers vary?
Ans- No, Engineering Mathematics is a section of the GATE 2025 exam and GATE Mathematics is a completely different paper. The GATE Engineering Mathematics includes topics like Algebra, Calculus, Complex Variables, Differential Equations, etc. The GATE Mathematics syllabus includes Linear Programming, Topology, Real Analysis, Complex Analysis, Calculus, Linear Algebra, etc. Students must not get confused between the two.
Q3- What topics are included in the GATE 2025 syllabus for Electrical Engineering?
Ans- GATE syllabus 2025 for Electrical Engineering (EE) Includes topics like Electric circuits, Engineering Mathematics, Signals and Systems, Electromagnetic Fields, Electrical Machines, Power Systems, Electrical and Electronic Measurements, Control Systems, Analog and Digital Electronics, and Power Electronics.
Q4- What is the GATE DA (Data Science and Artificial Intelligence) syllabus?
Ans- The GATE DA syllabus 2025 includes sections on Probability and Statistics, Calculus and Optimization, Programming, Linear Algebra, Data Structures and Algorithms, Machine Learning, Database Management and Warehousing, and Artificial Intelligence.
