GATE EE Subject Wise Weightage 2025 - Important Chapters and Topics

GATE EE Subject Wise Weightage 2025 - Important Chapters and Topics

Edited By Team Careers360 | Updated on Sep 24, 2024 04:06 PM IST | #GATE
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GATE EE Subject Wise Weightage 2025: It is essential to comprehend the subject-wise weightage for GATE EE 2025 to prepare well and strategically organize your studies. Candidates can arrange their study schedule according to the GATE subjects that yield the highest marks by examining the weightage. This enables students to devote more time and energy to areas that carry more weight, guaranteeing a well-rounded preparation that enhances their chances of scoring well in the GATE exam. Concentrating on subjects with a lot of weight can also help you manage your time better on the test and raise your chances of getting a higher score overall. Read the complete article for more details.

GATE 2025: Syllabus | Sample Papers

This Story also Contains
  1. GATE EE Subject Wise Weightage 2025
  2. GATE EE Chapter Wise Weightage 2025
  3. GATE EE Topic Wise Weightage 2025
  4. GATE Electrical Engineering 2025: Syllabus
GATE EE Subject Wise Weightage 2025 - Important Chapters and Topics
GATE EE Subject Wise Weightage 2025 - Important Chapters and Topics

GATE EE Subject Wise Weightage 2025

The core subjects for GATE 2025 Electrical Engineering (EE) include Electric Circuits and Networks, Electromagnetic Fields, Signals and Systems, Electrical Machines, Power Systems, Power Electronics, Control Systems, Analog and Digital Electronics, and Electrical and Electronic Measurements. These subjects form the foundation of the GATE EE syllabus, and a thorough understanding of these topics is essential for success in the exam.

The subject-wise weightage for GATE 2025 EE serves as a valuable tool for candidates, allowing them to plan a more balanced and efficient preparation strategy. By understanding how different subjects are weighted, students can allocate their time and resources more effectively for theGATE exam. To support this, Careers360 has shared a detailed table that highlights the estimated weightage for each subject, offering further guidance for GATE EE 2025 preparation.

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GATE EE Chapter Wise Weightage 2025

Chapter

Number of Questions

Weightage (%)

General Aptitude

5

7.69%

Engineering Mathematics

12

18.46%

Electric Circuits

6

9.23%

Signals and Systems

7

10.77%

Electrical Machines

5

7.69%

Power Systems

5

7.69%

Control Systems

6

9.23%

Electrical Measurements

1

1.54%

Analog Electronics

3

4.62%

Digital Electronics

3

4.62%

Power Electronics

6

9.23%

Electromagnetic Fields

2

3.08%

Total

65

100

GATE EE Topic Wise Weightage 2025

Topic

Approx. Weightage (%)

No. of Questions

Networks

8-10

5-7

Electronic Devices

8-10

5-6

Signals and Systems

10-12

6-8

Control Systems

8-9

5-6

Digital Circuits

6-8

4-5

Analog Circuits

7-9

5-6

Communication Systems

10-12

6-8

Electromagnetics

6-8

4-5

Electronic Measurements

4-5

2-3

Engineering Mathematics

13-15

8-10

General Aptitude

15%

10

GATE Electrical Engineering 2025: Syllabus

1. General Aptitude (GA): 15 marks

  • Verbal ability, quantitative aptitude, logical reasoning, and data interpretation.

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.
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2. Engineering Mathematics: 13-15 marks

  • Linear Algebra

  • Calculus

  • Differential Equations

  • Complex Variables

  • Probability and Statistics

  • Numerical Methods

  • Transform Theory

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3. Core Electrical Engineering Subjects: 72 marks (approx.)

  • Electric Circuits: 8-10 marks

  • Electromagnetic Fields: 5-6 marks

  • Signals and Systems: 4-5 marks

  • Electrical Machines: 6-8 marks

  • Power Systems: 8-10 marks

  • Control Systems: 6-8 marks

  • Electrical and Electronic Measurements: 3-5 marks

  • Analog and Digital Electronics: 6-8 marks

  • Power Electronics: 8-10 marks

GATE Electrical Engineering Subject Wise Weightage 2025: Exam Pattern

The GATE Electrical Engineering (EE) 2025 syllabus and subject-wise weightage follow a structured pattern, enabling candidates to focus on critical areas. The syllabus covers a wide range of topics, which are categorized into different sections. Based on the analysis of previous years' exams, here is a general overview of the syllabus and exam pattern:

GATE 2025 Electrical Engineering Exam Pattern

There will be a total of 65 questions in the GATE 2025 Electrical Engineering exam paper. The total marks will be 100. The exam duration will be 3 hours.

Marking Scheme: 1 or 2 marks for each question, with negative marking for incorrect MCQs. No negative marking for numerical answer type questions (NATs) and Multiple select questions ( MSQs).

Question Types:

  • Multiple Choice Questions (MCQs)

  • Multiple Select Questions (MSQs)

  • Numerical Answer Type (NAT) questions

Frequently Asked Questions (FAQs)

1. What topics are covered under Electric Circuits and Networks for GATE EE 2025?

Topics include circuit theorems, AC and DC circuits, transient analysis, network synthesis, and graph theory.

2. What should I focus on for Electromagnetic Fields in GATE EE 2025?

Focus on electrostatics, magnetostatics, Maxwell’s equations, wave propagation, and electromagnetic radiation.

3. What are the key areas in Signals and Systems for GATE EE 2025?

Key areas include signal analysis, Fourier and Laplace transforms, system response, and filter design.

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Questions related to GATE

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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.

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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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