How to Prepare for GATE Electrical Engineering 2025 - EE Preparation Tips

How to Prepare for GATE Electrical Engineering 2025 - EE Preparation Tips

Edited By Team Careers360 | Updated on Aug 07, 2024 12:25 PM IST | #GATE

How to Prepare for GATE 2025 Electrical Engineering (EE)? - To prepare for the GATE 2025 EE exam, candidates should first be familiar with the GATE 2025 syllabus for Electrical Engineering. The GATE syllabus covers various topics like Engineering Mathematics, Electric Circuits, Electromagnetic Fields, Signals and Systems, Power Systems, etc. The syllabus for GATE 2025 EE can be found on the official website in PDF format. GATE 2025 evaluates the aptitude of candidates in various undergraduate subjects of Engineering, Architecture, and Science.

GATE 2025: Syllabus | Sample Papers

How to Prepare for GATE Electrical Engineering 2025 -  EE Preparation Tips
How to Prepare for GATE Electrical Engineering 2025 - EE Preparation Tips

The GATE 2025 exam for Electrical Engineering (EE) will be conducted by the conducting authorities and the GATE 2025 exam dates have been released on its official website. Candidates can create a study plan and timetable to prepare for the GATE 2025 exam. Aspirants can refer to various books and study materials, including reference books and previous year GATE question papers. Joining coaching classes or enrolling in online courses can also be helpful. Before beginning preparation, candidates should ensure that they meet the GATE 2025 eligibility criteria, which include a minimum educational qualification and age limit.

Candidates can visit the official GATE 2025 website for further details. There are various online coaching platforms that offer GATE 2025 EE preparation courses. Candidates can enrol in these courses to get access to expert guidance, study material, and mock tests to assess their preparation levels. With proper planning and dedication, candidates can prepare well for GATE 2025 EE and achieve a good score. Read the article to know how to prepare for GATE 2025 electrical engineering.

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GATE Electrical Engineering Exam Pattern 2025

It is important that the candidates know about the exam pattern of the GATE EE paper 2025 beforehand. Knowledge of exam pattern will help the candidates to know about the mode of exam, duration, number of sections, number of questions, total marks, etc. The following table can be referred to check the exam pattern of GATE 2025 Electrical Engineering paper.

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 2025 EE Exam Pattern

Particulars

Details

Exam Duration

3 hours (180 minutes)

Number of Questions

65 Questions

Total Marks

100 Marks

Type of Questions

There will be two types of question

  • Multiple Choice Questions (MCQ)

  • Numerical Answer Type (NAT) Questions

Number of sections

Three sections -

  • General Aptitude

  • Engineering Mathematics

  • Subject/technical (EE)

Marking Scheme

For 1 mark questions, 1/3 mark will be deducted every wrong answer.


2 marks questions, 2/3 mark will be deducted for every incorrect response.


There is no negative marking for Numerical Answer Type (NAT) questions

Quick Links:-
How to Prepare for GATE 2025 in 6 Months?
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GATE 2025 Electrical Engineering Syllabus

Candidates should check the syllabus of Electrical Engineering GATE paper before starting their preparation. Knowledge of syllabus will help the candidates to study the right topics for the exam. Candidates can refer to the following table to know about the syllabus of the paper.

GATE 2025 EE Syllabus

Section

Name

Topics

1

Engineering Mathematics

  • Linear Algebra

  • Calculus

  • Differential Equations

  • Complex Variables

  • Probability and Statistics

  • Numerical Methods

  • Transform Theory

2

Electric Circuits

  • Network graph

  • KCL, KVL, Node and Mesh analysis

  • Transient response of DC and AC networks

  • Sinusoidal steady‐state analysis

  • Resonance

  • Passive filters

  • Ideal current and voltage sources

  • Thevenin’s theorem

  • Norton’s theorem

  • Superposition theorem

  • Maximum power transfer theorem

  • Two‐port networks

  • Three phase circuits

  • Power and power factor in AC circuits.

3

Electromagnetic Fields

  • Coulomb's Law

  • Electric Field Intensity

  • Electric Flux Density

  • Gauss's Law

  • Divergence

  • Electric field and potential due to point, line, plane and spherical charge distributions

  • Effect of dielectric medium

  • Capacitance of simple configurations

  • Biot‐Savart’s law

  • Ampere’s law

  • Curl

  • Faraday’s law

  • Lorentz force

  • Inductance

  • Magnetomotive force

  • Reluctance

  • Magnetic circuits

  • Self and Mutual inductance of simple configurations.

4

Signals and Systems

  • Representation of continuous and discrete‐time signals

  • Shifting and scaling operations

  • Linear Time Invariant and Causal systems

  • Fourier series representation of continuous periodic signals

  • Sampling theorem

  • Applications of Fourier Transform

  • Laplace Transform and z-Transform.

5

Electrical Machines

  • Single phase transformer: equivalent circuit, phasor diagram, open circuit and short circuit tests, regulation and efficiency

  • Three phase transformers: connections, parallel operation

  • Auto‐transformer

  • Electromechanical energy conversion principles

  • DC machines: separately excited, series and shunt, motoring and generating mode of operation and their characteristics, starting and speed control of dc motors

  • Three phase induction motors: principle of operation, types, performance, torque-speed characteristics, no-load and blocked rotor tests, equivalent circuit, starting and speed control

  • Operating principle of single phase induction motors

  • Synchronous machines: cylindrical and salient pole machines, performance, regulation and parallel operation of generators, starting of synchronous motor, characteristics.

  • Types of losses and efficiency calculations of electric machines.

6

Power Systems

  • Power generation concepts, AC and DC transmission concepts

  • Models and performance of transmission lines and cables

  • Series and shunt compensation

  • Electric field distribution and insulators

  • Distribution systems

  • Per‐unit quantities

  • Bus admittance matrix

  • Gauss-Seidel and Newton-Raphson load flow methods

  • Voltage and Frequency control

  • Power factor correction

  • Symmetrical components

  • Symmetrical and unsymmetrical fault analysis

  • Principles of over‐current, differential and distance protection

  • Circuit breakers

  • System stability concepts

  • Equal area criterion.

7

Control Systems

  • Mathematical modeling and representation of systems

  • Feedback principle, transfer function

  • Block diagrams and Signal flow graphs

  • Transient and Steady‐state analysis of linear time invariant systems

  • Routh-Hurwitz and Nyquist criteria

  • Bode plots

  • Root loci

  • Stability analysis

  • Lag

  • Lead and Lead‐Lag compensators

  • P, PI and PID controllers

  • State space model

  • State transition matrix

8

Electrical and Electronic Measurements

  • Bridges and Potentiometers

  • Measurement of voltage, current, power, energy and power factor

  • Instrument transformers

  • Digital voltmeters and multimeters

  • Phase, Time and Frequency measurement

  • Oscilloscopes

  • Error analysis

9

Analog and Digital Electronics

  • Characteristics of diodes

  • BJT

  • MOSFET

  • Simple diode circuits: clipping, clamping, rectifiers

  • Amplifiers

  • Biasing

  • Equivalent circuit and Frequency response

  • Oscillators and Feedback amplifiers

  • Operational amplifiers

  • Characteristics and applications

  • Simple active filters

  • VCOs and Timers

  • Combinational and Sequential logic circuits

  • Multiplexer

  • Demultiplexer

  • Schmitt trigger

  • Sample and hold circuits

  • A/D and D/A converters

  • 8085Microprocessor

  • Architecture

  • Programming and Interfacing.

10

Power Electronics

  • Characteristics of semiconductor power devices

  • Diode

  • Thyristor

  • Triac

  • GTO, MOSFET, IGBT

  • DC to DC conversion

  • Buck, Boost and Buck-Boost converters

  • Single and three phase configuration of uncontrolled rectifiers

  • Line commutated thyristor based converters

  • Bidirectional AC to DC voltage source converters

  • Issues of line current harmonics

  • Power factor

  • Distortion factor of AC to DC converters

  • Single phase and three phase inverters

  • Sinusoidal pulse width modulation.

GATE 2025 Electrical Engineering Preparation Tips

Here, we have provided some preparation tips for cracking GATE EE Paper. Although a preparation strategy varies from one candidate to another, these tips will help the candidates in making a better study plan.

Know exam pattern and syllabus- Candidates should first understand the exam pattern and syllabus for GATE EE paper before starting their preparation. Both the exam pattern and syllabus for the paper have already been mentioned in the article.

Time Management- After understanding the syllabus, prepare a timetable to complete the entire syllabus before time. Time table must be followed religiously because only making a time table will not help in any way.

Important Topics- Candidates are advised to check the important topics for GATE 2025 EE paper mentioned in the article. Candidates should cover these topics first as they have more weightage in the exam. However, candidates must complete the entire syllabus.

Revision- As it is said that revision is the key, candidate should give proper time for revision in their study plan. Since the syllabus is vast, candidates must keep revising whatever they study.

Question papers and mock tests- The authorities releases official GATE question papers on the official website, candidates should practice these question papers to have an overview of the exam. Similarly, candidates must practice GATE mock tests to have a real feel of the examination and increase their speed. These mock tests are based on the actual pattern of the exam and candidates are also able to analyse their performance after attempting these mock tests.
Quick Links:-
GATE 2025 preparation tips for Electrical Engineering (EE)
GATE 2025 Preparation Material

GATE EE Question Papers - Previous Year

Year

Question Paper Link

Answer Key Link

GATE Electrical Engineering Paper 2020

Click Here

Click Here

GATE Electrical Engineering Paper 2019

Click Here

Click Here

Important Topics for GATE 2025 Electrical Engineering Paper

S.No.

Topics

Books

1.

Engineering Mathematics

Advanced Engineering Mathematics by E.Kreyszig

2.

Networks

Engineering Circuit Analysis by Hayt and Kemmerly

3.

Signal and systems

Signals and Systems by Oppenheim and Wilsky

Signals and Systems - Nagoor Kani

4.

Electrical Machines

Electrical Machinery by P.S.Bimbhra

5.

Power system

Power Systems Engineering by Nagrath and Kothari

Power Systems by JB Guptha & CL Wadhwa

6.

Power Electronics

Power Electronics by MH Rashid

Power Electronics by P.S.Bimbhra

7.

Control system

Control Systems Engineering by Nagrath and Gopal

8.

Measurement

Electrical and Electronic Measurement and Instrumentation by AK Sawhney

9.

Analog

Electronic Devices and Circuit Theory by Boylestad

10.

Digital Circuits

For Digital Electronics, refer to Digital Design by M.Morris Mano

11.

Electro Magnetics

Mathew N. O. SADIKU - Elements of Electromagnetics

William .H.Hayt - Engineering Electromagnetics

12.

For Problem Solving

GATE Electrical by RK Kanodia

13.

Circuit analysis

Transient Analysis Of Electric Power Circuits by Arieh L Shenkmann and also Chakrabarthi

Candidates should note that the entire syllabus for GATE EE paper must be covered by them. These important topics have been listed on the basis of their weightage in the exam. Candidates should not only stick to these topics only.

Also, Read - GATE 2023 Topper Interview, Sragdharamalini Das, AIR 6 (Humanities and Social Science)

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Questions related to GATE

Have a question related to GATE ?

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:

YES.the category change you made before the last date for application correction submission is entertained only if you submitted correction category fee. Any request after this date will NOT be considered.if you have changed to non pwd general category it is confirmed that you belong to this category and your previous claim is cancelled which is in your case pwd certificate

you can check all the information related to gate here

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

Hope it helps

BHEL, IOCL, ONGC, SAIL, NTPC, HPCL, PGCIL, BARC and many more PSUs recruitment ate available for students who qualify gate exam followed by interview.

Also some government colleges Offering Teaching Positions Following the GATE Exam.you can apply for it too.

Gate exam let you in for positions in government organizations such as DRDO,

BARC, ISRO etc.

All the updates of recruitment through gate is available in the link

https://engineering.careers360.com/articles/psu-recruitment-through-gate

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