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GATE Civil Engineering Subject Wise Weightage 2025
Edited By Team Careers360 | Updated on Oct 10, 2024 04:12 PM IST | #GATE
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GATE Civil Engineering Subject Wise Weightage 2025 - It is crucial to know the GATE Civil Engineering Subject Wise Weightage 2025 to prepare effectively as a candidate for the GATE examination. The weightage of subjects in GATE CE 2025 can directly impact your preparation plan, showing you how to best spend your precious time and energy. This guide will give you an overview of the classifications by subject area and also give you some ideas on how to make use of this information to improve your GATE preparations.
GATE 2025: Syllabus | Sample Papers
GATE CE Subject Wise Weightage 2025
The GATE Civil Engineering test features a diverse number of subjects and none of them is valued equally in terms of the test score. The knowledge of the number of questions for each subject assists in preparing well in the best way possible. The following table presents a detailed breakdown of the weightage for various topics across all major subjects:
GATE Civil Engineering Chapter Wise Weightage 2025
Subject | Total Questions | Percentage Weightage |
General Aptitude | 9 | 11.40% |
Engineering Mathematics | 9 | 11.40% |
Probability & Statistics | 1 | 1.30% |
Structural Engineering | 10 | 12.70% |
Construction Management | 3 | 3.80% |
Geotechnical Engineering | 10 | 12.70% |
Water Resources | 6 | 7.60% |
Environmental Engineering | 7 | 8.90% |
Transportation Engineering | 8 | 10.10% |
Geomatics Engineering | 6 | 7.60% |
Total | 65 | 100% |
Changes in GATE Subject Wise Weightage over the years
A comparison of weighting data revealed that focus areas transitioned from 2020 to 2025. For example, subjects like Structural Engineering, Geotechnical Engineering have always possessed good weightage and on the other hand subjects like Construction Management possessed varying weightage all the time. In the GATE Civil Engineering examination, the application of multiple techniques such as focusing more on high weightage subjects but at the same time balancing across topics is recommended. Reading resources suggested by Careers360 including books and sample tests can be really beneficial in your preparation.
For a large number of people, the following are the difficulties they experience and the probable remedies:
Time management is another common problem that students face while preparing for GATE: there are too many subjects and they all require more time than is available. To get over this, get aid from the Careers 360’s tips on how to manage time for a student and make an efficient timetable. Another problem is calculation errors and again, they could be eliminated by more practice and some tips that Careers360 contains in its experts’ articles and materials.
GATE Civil Engineering Exam Structure
GATE Civil Engineering is an examination comprising of 100 marks which are spread over 180 minutes. It contains a combination of General test questions and Business related questions. The General Aptitude section making up 15% of the total marks figures out your analytical and quantitative abilities The remaining 85% of the questions covers basic civil engineering disciplines. Awareness of this distribution is useful in creating a proper study schedule.
Total Marks and Duration
The test format of the GATE Civil Engineering examination is that it is a 3 hours examination which comprises 100 marks. There are two parts in the exam, the General Aptitude and the Subject-Specific Questions.
Aspect | Details |
Total Marks | 100 |
Duration | 3 hours |
Type of Questions | MCQs, MSQs, NATs |
GATE CE Subject Wise Weightage 2025 - General Aptitude vs. Subject-Specific Questions
The exam comprises 15% General Aptitude questions and 85% subject-specific questions.
Section | Percentage Weightage |
General Aptitude | 15% |
Subject-Specific | 85% |
Frequently Asked Questions (FAQs)
1. How should I divide time for high-weightage subjects and low-weightage?
Prepare high-weightage subjects for more time and give less time to low-weightage subjects. But do not neglect low weightage subjects.
2. How should I do my preparation for General Aptitude?
Give less time daily to prepare for General Aptitude, and increase your speed. Revise regularly but don't give much time just focus on high weightage subjects in the last few days.
3. How to improve speed in solving MCQs?
Try solving practice MCQs papers under 3 hours of timing, and give more importance to high-weightage topics.
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Questions related to GATE
Have a question related to GATE ?
GATE is a national level entrance exam for admission to various postgraduate courses. Gate 2025 will be conducted by IIT Roorkee. Previous year question papers help candidates to prepare better. Previous year question papers helps candidates to understand exam pattern and weightage of different topics in exam. Also practicing the papers helps to manage time and stress of the exam. Now you can get all the previous year question papers with solution by simply click at Gate previous year papers with solution
Annu Kumari 02 December,2024
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
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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:
Samprikta Mondal 21 November,2024
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