GATE Materials Science Syllabus 2025 - Chapter and Topics Wise Syllabus PDF

GATE Materials Science Syllabus 2025 - Chapter and Topics Wise Syllabus PDF

Edited By Gandubilli Unnati | Updated on Oct 24, 2024 02:37 PM IST | #GATE
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GATE Materials Science Syllabus 2025 - IIT Roorkee has published the GATE 2025 Materials Science syllabus on the official website. The detailed pdf for GATE Materials Science syllabus 2025 is available on the official website, gate2025.iitr.ac.in. The GATE 2025 syllabus consists of the topics covered in the GATE exam. The GATE 2025 syllabus for Material Sciences consists of 6 units including Classification and Structure of Materials; Thermodynamics, Kinetics and Phase Transformations; Properties and Applications of Materials; Characterization and Measurements of Properties; Processing of Materials & Degradation of Materials. The direct link to download the GATE 2025 Materials Science syllabus is below. The GATE 2025 exam will be conducted on February 1, 2, 15 & 16, 2025. Candidates attempting the GATE exam must thoroughly go through the detailed GATE 2025 Materials science syllabus given below.
Link to check the GATE 2025 Materials Science syllabus

GATE 2025: Syllabus | Sample Papers

This Story also Contains
  1. GATE 2025 Material Sciences (XE-C) Syllabus
  2. GATE Material Science Syllabus 2025 for General Aptitude
  3. GATE Material Science Syllabus 2025
GATE Materials Science Syllabus 2025 - Chapter and Topics Wise Syllabus PDF
GATE Materials Science Syllabus 2025 - Chapter and Topics Wise Syllabus PDF

GATE 2025 Material Sciences (XE-C) Syllabus

The complete GATE materials science syllabus 2025 is available on the official website. The paper code for GATE Materials science is XE-C. The GATE 2025 Materials science paper is optional and can be chosen by candidates attempting the GATE 2025 Engineering Sciences (XE) paper.

Also read:

GATE Material Science Syllabus 2025 for General Aptitude

SubjectsTopics
GATE GA syllabus for verbal aptitudeBasic English grammar: tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech Basic vocabulary: words, idioms, and phrases in context, reading and comprehension, Narrative sequencing.
GATE GA syllabus for quantitative aptitudeData interpretation: data graphs (bar graphs, pie charts, and other graphs representing data), 2- and 3-dimensional plots, maps, and tables Numerical computation and estimation: ratios, percentages, powers, exponents and logarithms, permutations and combinations, and series Mensuration and geometry Elementary statistics and probability.
GATE GA syllabus for analytical aptitudeLogic: deduction and induction, Analogy, Numerical relations and reasoning.
GATE GA syllabus for spatial aptitudeTransformation of shapes: translation, rotation, scaling, mirroring, assembling, and grouping paper folding, cutting, and patterns in 2 and 3 dimensions.

GATE Material Science Syllabus 2025

The units covered under the GATE Materials Science syllabus 2025 include Classification and Structure of Materials; Thermodynamics, Kinetics and Phase Transformations; Properties and Applications of Materials; Characterization and Measurements of Properties; Processing of Materials & Degradation of Materials. The complete GATE 2025 Materials Science Syllabus is given below:

GATE Material Science Syllabus 2025 for Classification and Structure of Materials

ChapterTopics
Classification of MaterialsMetals, ceramics, polymers and composites.
Nature of Bonding in MaterialsMetallic, ionic, covalent and mixed bonding; structure of materials: fundamentals of crystallography, symmetry operations, crystal systems, Bravaislattices, unit cells, primitive cells, crystallographic planes and directions; structures of metals, ceramics, polymers, amorphous materials and glasses.
Defects in Crystalline Materials0-D, 1-D and 2-D defects; vacancies, interstitials, solid solutions in metals and ceramics, Frenkel and Schottky defects; dislocations; grain boundaries, twins, stacking faults; surfaces and interfaces
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GATE Material Science Syllabus 2025 for Properties and Applications of Materials

ChaptersTopics
Properties and Applications of MaterialsMechanical properties of metals, ceramics, polymers and composites at room temperature; stress strain response (elastic, anelastic and plastic deformation).
Electronic PropertiesFree electron theory, Fermi energy, density of states, elements of band theory, semiconductors, Hall effect, dielectric behaviour, piezo- and ferro-electric behaviour.
Magnetic PropertiesOrigin of magnetism in materials, para-, dia-, ferro- and ferri-magnetism.
Thermal PropertiesSpecific heat, heat conduction, thermal diffusivity, thermal expansion, and thermoelectricity.
Optical PropertiesRefractive index, absorption and transmission of electromagnetic radiation. Examples of materials exhibiting the above properties, and their typical/common applications.
GATE 2025 Syllabus
Candidates preparing for GATE 2025 can now access the official syllabus. The detailed syllabus PDF is available for download as PDF here.
Download Now

GATE Material Science Syllabus 2025 XE-C

TopicsSub-Topics
Thermodynamics, Kinetics and Phase Transformations
Extensive and intensive thermodynamic properties, laws of thermodynamics, phase equilibria, phase rule, phase diagrams (unary and binary), basic electrochemistry.
Reaction kinetics, fundamentals of diffusion, Fick’s laws, their solutions and applications.
Solidification of pure metals and alloys, nucleation and growth, diffusional solid-state phase transformations (precipitation and eutectoid), martensitic transformation.
Characterization and Measurements of Properties
X-ray diffraction; spectroscopic techniques such as UV-Vis, IR and Raman; optical microscopy, electron microscopy, composition analysis in electron microscopes. Tensile test, hardness measurement. Electrical conductivity, carrier mobility and concentrations. Thermal analysis techniques: thermogravimetry and calorimetry
Processing of Materials
Heat treatment of ferrous and aluminium alloys; preparation of ceramic powders, sintering; thin film deposition: evaporation and sputtering techniques, and chemical vapour deposition, thin film growth phenomena.
Degradation of Materials
Corrosion and its prevention; embrittlement of metals; polymer degradation.
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Frequently Asked Questions (FAQs)

1. Who released the GATE 2025 syllabus?

GATE 2025 syllabus is released by IIT Roorkee, which is the conducting authority for GATE 2025.

2. When should I start preparing for the GATE 2025 exam?

Candidates who want to qualify in the GATE 2025 exam must start preparing immediately as the exam dates have been announced.

3. Is the GATE Materials science syllabus 2025 out?

Yes, the authority has released the GATE 2025 Materials Science Syllabus  (XE-C) on the official website.

4. When will the GATE 2025 exam be conducted?

IIT Roorkee will conduct the GATE 2025 exam on February 1, 2, 15 & 16, 2025

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Questions related to GATE

Have a question related to GATE ?

The real data of students who will give GATE exam is not officially announced once the results are announced it is going to be declared officially

You can check previous statistics of number of students appearing for gate exam below in the link and any update regarding the number will update here

https://engineering.careers360.com/articles/how-many-students-appeared-for-gate-exam

According to last years figures almost 8 lakh students registered for gate exam and only 6.5 lakhs students was appeared for the exam in which 65000 students present for ECE branch.

All the BEST!!

A placement course can be beneficial, with offline courses generally considered better for hands-on learning and networking opportunities, while online courses offer flexibility top placement courses often focus on skills like coding, data structures, algorithms, and relevant domain knowledge and when considering private M.Tech colleges without GATE, KIIT is often cited as a top option due to its strong placement record and industry-ready curriculum.

Top M.Tech colleges admissions without a GATE score include BITS,bhu, iit delhi,Aligarh Muslim University, University of Delhi, and Jawaharlal Nehru University.

All the best for your future goals!!!

Hello there,

Here is the information regarding your question:

1. KIIT M.Tech CSE in Data Analytics Review

  • Strengths : KIIT offers a well-structured program with a strong focus on practical applications, collaborations with industries, and good placement records. Companies like TCS, Cognizant, and Infosys recruit from KIIT.

  • Weaknesses : Limited exposure to niche analytics tools compared to top-tier institutions.

  • Overall Verdict : A good option if you’re looking for a balance of quality education and decent placements without GATE.

    2. Top M.Tech Data Analytics Colleges Without GATE

  • BITS Pilani (Work Integrated Learning Programs) : Renowned for its flexible, industry-oriented programs.

  • VIT Vellore : Offers M.Tech programs with specializations in Big Data Analytics. Admission is based on its own test (VITMEE).

  • SRM University : Offers programs in Data Analytics with industry tie-ups.

  • Manipal Academy of Higher Education : Focuses on practical learning and internships.

    3. Best Private M.Tech Data Analytics Colleges

  • BITS Pilani
  • VIT Vellore
  • Amity University
  • UPES Dehradun

    4. VIT vs. KIIT vs. SRM vs. Manipal vs. BITS Hyderabad

  • Academics : BITS > VIT > Manipal > SRM > KIIT
  • Placements : BITS > VIT > Manipal > SRM > KIIT
  • Industry Exposure : BITS > VIT > Manipal > SRM > KIIT
  • Verdict : If feasible, choose BITS Hyderabad or VIT.

    5. VIT M.Tech Big Data Analytics vs. AIML

  • Big Data Analytics : Best for those interested in data engineering, data visualization, and business analytics roles.

  • AIML : Ideal for students targeting AI/ML engineering, research roles, or AI startups.

  • Recommendation : Choose based on your career goals. AIML has a slightly higher demand in tech industries.

    6. Best Online Options for M.Tech in Data Analytics

  • BITS Pilani WILP : M.Tech in Data Science & Engineering.
  • IIT Madras (Online Degree) : BS in Data Science, upgradeable to M.Tech.
  • Great Lakes Institute : PG Programs in Data Analytics & AIML.
  • Simplilearn & Coursera : Partnered with top universities for certifications.

For detailed reviews, visit the respective college websites or forums.


I hope this answer helps you. If you have more queries then feel free to share your questions with us we will be happy to assist you.

Thank you and wishing you all the best for your bright future.


1. Best GATE-free M.Tech college for data science with the best placement?


Here are a few of the top M.Tech colleges for data science which have good placements, and are also GATE free:


Indian Institutes of Technology: A number of IITs offer M.Tech data science or related fields in their colleges. The admission process is based on the entrance exam. For example: IIT Delhi - M.Tech/MS in MINDS, IIT Bombay - M.Tech in CSE (Data Science Specialization)

National Institutes of Technology (NITs): Some NITs provide M.Tech degree in the field of data science or related disciplines through separate entry tests. Example: NIT Trichy - M.Tech in Data Science Birla Institute of Technology and Science (BITS Pilani): Provides M.Tech degree in the field of data science through BITSAT - BITSAT Entry Test.

International Institute of Information Technology (IIITs): Some IIITs provide M.Tech programs in data science.  Some of them conduct their entrance exams. For instance, IIIT Hyderabad offers M.Tech in Data Science.    Private Universities: Many other well-known private universities are offering M.Tech programs in Data Science through their entrance exams. For example, Vellore Institute of Technology (VIT), Manipal Academy of Higher Education (MAHE)

Research should be done on each program regarding the curriculum offered, the faculty expertise, and the placement record before applying. You can find all information on their official website.


2. Best M.Tech college without GATE with the best placement for a data analyst?


Data Science courses usually cover concepts and skills involved in data analysis. Still, some colleges may have more specialized M.Tech programs in Data Analytics.


Use the list in question 1 as a reference. Many colleges which offer M.Tech Data Science also serve aspiring Data Analysts.


3. Is Big data analyst and data analyst course are different?


Yes, There are some key differences between Data Analyst and Big Data Analyst roles:


Data Size: Data Analysts typically work with smaller datasets, while Big Data Analysts manage massive datasets requiring specialized tools and techniques.

Skills: The areas of data cleaning, analysis, visualization, and communication are the core focus areas for Data Analysts. Big Data Analysts will also need knowledge of Hadoop, Spark, and distributed processing frameworks.

Career Paths: Data Analysts may progress to Business Intelligence or Data Science roles. Big Data Analysts may specialize in areas like cloud computing or data engineering.

However, the line may blur in practice. Some M.Tech programs might offer a data science curriculum with modules focused on big data processing.


4. Review of KIIT CSE in Data Analyst and how is the placement?


KIIT CSE offers an M. Tech curriculum in Computer Science and Engineering (CSE) with specializations in Data Science. Though data analyst is not mentioned explicitly, you can expect data analysis skills to be a part of the curriculum.


You can research KIIT CSE for Data Analyst Placement as follows:


KIIT Website: Check the KIIT website for details regarding the Data Science specialization within their M.Tech program in CSE. Placement reports might be available.

Reviews and Forums: Search online for reviews and discussions from alumni or current students about KIIT CSE and data science placements.

Contact KIIT: Consider directly contacting the KIIT admissions office or department to inquire about the program's focus within data science and potential career paths for graduates.

5. VIT vs KIIT VS SRM


These three universities are quite famous for engineering and technology education. Let's just compare briefly to help decide:


Criterion    VIT     KIIT     SRM

Reputation    National & International Recognition    Strong Reputation in India    Improving Reputation

Programs Offered    M.Tech in Data Science (through VITMEE)     M.Tech in CSE (Data Science Specialization)     M.Tech in Data Science

Placements    Historically Strong Placements    Good Placements    Improving Placements

Fees    High Fee Structure     Moderate Fee Structure     Moderate Fee Structure


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Important Note: This is a general comparison. Specific program details, faculty expertise, infrastructure, and placement records may be significantly different within each university.


Do the following:


Visit the websites for each university: Look up the specific data science programs taught, curriculum details, faculty profiles, and any placement reports that are available.

Consider factors important to you: Consider fees, location, infrastructure, duration of the program, and specific topics in data science that may interest you.

Look for online reviews and resources:

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you can check all the information related to gate here

https://engineering.careers360.com/exams/gate

Hope it helps

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