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GATE ECE Subject Wise Weightage 2025 - Important Chapters, Topics
Edited By Team Careers360 | Updated on Sep 24, 2024 03:39 PM IST | #GATE
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GATE ECE Subject Wise Weightage 2025:Understanding the subject-wise weightage for GATE ECE 2025 is crucial for effective preparation and strategic study planning. By analyzing the GATE chapter wise weightage, candidates can prioritize their study efforts based on the subjects that carry the most marks. This allows them to allocate more time and resources to areas with higher weightage, ensuring a balanced GATE preparation that maximizes their scoring potential. Additionally, focusing on GATE high-weightage topics can help improve time management during the exam and increase the chances of achieving a higher overall score. This strategic approach not only improves preparation efficiency but also enhances confidence and performance in the GATE exam 2025.
GATE 2025: Syllabus | Sample Papers
GATE ECE Subject Wise Weightage 2025: Complete Overview
The GATE ECE Subject Wise Weightage 2025 provides a detailed breakdown of the ECE concepts featured in the exam. The core subjects for GATE 2025 ECE are: Networks, Electronics Devices, Signals and Systems, Control Systems, Digital Circuits, Analog Circuits, Communication Systems, Electromagnetics, and Electronic Measurements. In addition, Analog Circuits and Electronic Measurements carry less weight but also play a role in overall marking.
The weightage of subjects in GATE ECE 2025 acts as a guide for candidates, helping them to develop a well-rounded preparation strategy. By understanding this distribution, students can manage their study time and resources more effectively for GATE ECE 2025 preparation. To assist further, Careers360 has provided a comprehensive table outlining the estimated weightage of each subject in the exam.
GATE ECE Chapter Wise Weightage 2025
| Chapter | Count | |
| Digital Communications | 2 | 3.08% |
| Geometry | 2 | 3.08% |
| Linear Algebra | 2 | 3.08% |
| MOS Transistors | 2 | 3.08% |
| Random Processes | 2 | 3.08% |
| Semiconductor Physics | 2 | 3.08% |
| Transmission Lines | 2 | 3.08% |
| Algebra | 1 | 1.54% |
| Amplifier Circuits | 1 | 1.54% |
| Analog-to-Digital Converters (ADC) | 1 | 1.54% |
| Analytical Reasoning | 1 | 1.54% |
| Arithmetic | 1 | 1.54% |
| Bipolar Junction Transistors (BJT) | 1 | 1.54% |
| Boolean Functions | 1 | 1.54% |
| Calculus | 1 | 1.54% |
| Circuit Theory | 1 | 1.54% |
| Compensators | 1 | 1.54% |
| Complex Analysis | 1 | 1.54% |
| Current Mirror | 1 | 1.54% |
| Cyclic Redundancy Check (CRC) | 1 | 1.54% |
| Data Interpretation | 1 | 1.54% |
| Differential Equations | 1 | 1.54% |
| Digital Filters | 1 | 1.54% |
| Digital Systems | 1 | 1.54% |
| Discrete Fourier Transform (DFT) | 1 | 1.54% |
| Discrete Time Signals | 1 | 1.54% |
| Encoders | 1 | 1.54% |
| Entropy | 1 | 1.54% |
| Feedback Systems | 1 | 1.54% |
| Fourier Transforms | 1 | 1.54% |
| Image-Based Reasoning | 1 | 1.54% |
| Laplace Transforms | 1 | 1.54% |
| Linear Time-Invariant Systems | 1 | 1.54% |
| Logical Sequencing | 1 | 1.54% |
| Maxwell's Equations | 1 | 1.54% |
| Modulation Techniques | 1 | 1.54% |
| MOS Capacitors | 1 | 1.54% |
| Multiplexers | 1 | 1.54% |
| NMOS Transistors | 1 | 1.54% |
| Number Theory | 1 | 1.54% |
| Operational Amplifiers (Op-Amps) | 1 | 1.54% |
| Oscillators | 1 | 1.54% |
| Plane Waves | 1 | 1.54% |
| Power Electronics | 1 | 1.54% |
| Power Supplies | 1 | 1.54% |
| Power Transfer | 1 | 1.54% |
| Random Variables | 1 | 1.54% |
| Sampling Theory | 1 | 1.54% |
| Semiconductors | 1 | 1.54% |
| Sequential Circuits | 1 | 1.54% |
| Solar Cells | 1 | 1.54% |
| Stability and Transfer Functions | 1 | 1.54% |
| State Space Analysis | 1 | 1.54% |
| Transfer Functions | 1 | 1.54% |
| Two-Port Networks | 1 | 1.54% |
| Vector Calculus | 1 | 1.54% |
| Vector Fields | 1 | 1.54% |
| Verbal Reasoning | 1 | 1.54% |
| Grand Total | 65 | 100.00% |
GATE ECE Chapter Wise Weightage 2025: Syllabus
Here is the detailed syllabus for GATE ECE Engineering 2025:
Section A: Engineering Mathematics (15% of the total marks)
Linear Algebra: Matrix operations, linear transformations, eigenvalues and eigenvectors, determinants.
Calculus: Functions of several variables, partial derivatives, multiple integrals, Fourier series, Laplace transform.
Differential Equations: Ordinary and partial differential equations, numerical methods.
Probability and Statistics: Probability distributions, Bayes theorem, hypothesis testing, confidence intervals.
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 NowSection B: Electronics and Communication Systems (25% of the total marks)
Analog Circuits: Circuit analysis, network synthesis, op-amp circuits, filters.
Digital Circuits: Logic gates, flip-flops, counters, adders, multipliers.
Microprocessors and Microcontrollers: Instruction set architecture, program design, assembly language programming.
Electronics Devices and Circuits: Diodes, transistors, FETs, thyristors, amplifiers.
Section C: Electrical Engineering (20% of the total marks)
Electrical Machines: DC machines, AC machines, transformers.
Power Systems: Power generation, transmission and distribution systems, power flow studies.
Electromagnetic Theory: Electromagnetic induction, Maxwell's equations, electromagnetic waves.
Control Systems: Stability analysis, frequency response methods, root locus method.
Section D: Communication Systems (20% of the total marks)
Communication Systems: Modulation and demodulation techniques, transmission media, noise, and interference.
Signal Processing: Filtering, modulation analysis, spectral analysis.
Antenna and Wave Propagation: Antenna arrays, wave propagation in various media.
Section E: Computer Science and Information Technology (20% of the total marks)
Computer Organization: CPU architecture, memory hierarchy, I/O systems.
Digital Signal Processing: Digital signal processing algorithms, filter design.
VLSI Design: Digital integrated circuit design using Verilog/VHDL.
Frequently Asked Questions (FAQs)
1. Can the weighting percentages change from year to year?
Yes, weightage percentages can vary slightly each year, so it's important to stay updated with official announcements.
2. What if I have limited time to prepare?
Focus on high-weightage subjects but don’t neglect lower-weightage topics; a balanced approach will help cover the syllabus effectively.
3. Where can I find the most accurate weightage distribution?
Refer to the official GATE website or exam notifications for the latest and most accurate weightage information.
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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!!
sadafreen356 30 November,2024
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!!!
sadafreen356 22 November,2024
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.
kumardurgesh1802 21 November,2024
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
Export to Sheets
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:
Samprikta Mondal 21 November,2024
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
sadafreen356 16 November,2024
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