Ph.D. (Computer Science and Engineering) From Nirma University, Ahmedabad

Ahmedabad, GujaratPrivate UniversityEstd 1994
#134 For B.Tech By Collegedunia 2023  
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Ph.D. (Computer Science and Engineering) 
first year fees:  ₹62,200
3 YearsFull Time
Year123
Total Year Wise fees62,20040,00060,000
Tuition fees₹40000₹40000₹40000
Registration fees₹5000--
Other fees₹17200-₹20000

Nirma University Ph.D. (Computer Science and Engineering) Ranking

Nirma University Engineering ranking by Collegedunia.com is 134 out of 394 in India in 2023. Nirma University Engineering ranking by NIRF is 101 out of 200 in India in 2023 and it was ranked 125 out of 300 in India in 2022. Nirma University Engineering ranking by The Week is 13 out of 190 in India in 2022 and it was ranked 51 out of 130 in India in 2019

Collegedunia Ranking

#134 out of 394 in India 2023 
#2nd in Ahmedabad
#5 in Gujarat

NIRF Ranking

#151 out of 200 in India 2023 
#3rd in Gujarat

Do you think the Rankings are wrong ?  Report Here

Eligibility Criteria

Aspirants seeking admission to the Program should meet the following criteria as specified by the institute.

Academic Requirement:-

  • Candidates for the admission to the PhD programme shall have a Master’s degree or a professional degree declared equivalent to the Master’s degree by the corresponding statutory regulatory body, with at least 55% marks in aggregate or its equivalent grade ‘B’ in the UGC 7-point scale (or an equivalent grade in a point scale wherever grading system is followed) or an equivalent degree from a Foreign Educational Institution accredited by the Assessment and Accreditation Agency which is approved, recognised or authorised by an authority, established or incorporated under a law in its home country or any other statutory authority in that country for the purpose of assessing, accrediting or assuring quality and standards of educational institutions.
  • Candidates possessing a Degree considered equivalent to MPhil Degree of an Indian Institution, from a Foreign Educational Institution accredited by an Assessment and Accreditation Agency which is approved, recognised or authorised by an authority, established or incorporated under a law in its home country or any other statutory authority in that country for the purpose of assessing, accrediting or assuring quality and standards of educational institutions, shall be eligible for admission to PhD programme.

Admission Procedure:-

Candidates, who intend to take admission for PhD have to apply in a prescribed proforma. On the receipt of applications, an Entrance Test will be conducted for the eligible candidates irrespective of number of applications received, which will be followed by an interview by the Departmental Research Committee.

  • The Entrance Test shall be conducted for eligible candidates wherein the qualifying marks will be 50%. The syllabus of the Entrance Test shall consist of 50% of research methodology and 50% shall be subject specific. (The detailed syllabus is available on the website)
  • The list of candidates clearing the entrance test (50%) shall be declared on the notice board/ website of the University.
  • An interview/viva-voce to be organised by the University where the candidates are required to discuss their research interest/area through a presentation before Department Research Committee specified under R.Ph.D. 2.3.
  • The candidates who qualify the UGC-NET (Including JRF) UGC-CSIR NET (Including JRF) SLET / GATE / GPAT with a valid score in terms of cut-off marks and duration, teacher fellowship holder or who have passed MPhil programme shall be exempted from appearing in the entrance test and deemed to be qualified for personal interview.

Course Details

Areas of Research:

  • Cloud Computing, Networking, Machine Learning, Software Engineering: 01 (seat intake)
  • Machine Learning, Deep Learning, Networking, Optimization: 02 (seat intake)
  • Internet of Things, Computer Networks, and Deep Learning: 01 (seat intake)
  • Wireless networks: 02 (seat intake)
  • AI and Deep Learning, Computer Vision, Natural Language Processing: 01 (seat intake)
  • Big Data Analytics, Text Data Analytics and Summarization, Mobility Detection and Prediction: 01 (seat intake)
  • Human Computer Interaction, Internet of Things, Machine Learning, Big Data Analytics, Image processing and compression: 04 (seat intake)

Fee Structure:

1 Tuition Fee (Per Annum) 40000
2 Other Fees
a Registration Fee (One Time) 5000
b Initial Post-Graduation Registration Fee (One Time) 1000
c Course Work Examination Fee to be submitted at the time of submission of course work 1200
d Viva Voce Examination to be filled at the time of submission of thesis 20000
Total Other Fees (a+b+c+d) 27200
3 Deposits
Refundable Security 15000
Total Deposit 3 15000
Total (1+2+3) 82200
4 Eligibility certificate (if required) 1000
5 Internet Fees (P.A.) 1000

...Show Less

Ph.D. (Computer Science and Engineering) Comparison

Nirma UniversitySOT PDPUThapar UniversityLNMIITAmity University Noida
Reviews Rating
Cost To Study
Total Fees
162200 (3 Years )
Hostel Fees
84000
Total Fees
165000 (3 Years )
Total Fees
373840 (4 Years )
Hostel Fees
49000
Total Fees
154600 (3 Years )
Total Fees
300000 (3 Years )
Hostel Fees
85000
Ranking
# Ranked 13/190 by The Week Engineering Ranks
# Ranked 121/170 by IIRF Engineering Ranks
# Ranked 6/238 by India Today Engineering Ranks
# Ranked 23/253 by India Today Engineering Ranks
# Ranked 48/284 by India Today Engineering Ranks
Highest Salary₹5225000₹1660000₹5575000₹5387000₹6175000
Average Salary₹851000₹675000₹1190000₹1420000-
General Course Details
Duration - 3 Years
Course Offered - Full Time
Mode - Full Time
Degree Type - On Campus
Course Level - Doctorate/M.Phil
Course Credential - Degree
Duration - 3 Years
Course Offered - Full Time
Mode - Full Time
Degree Type - On Campus
Course Level - Doctorate/M.Phil
Course Credential - Degree
Duration - 4 Years
Course Offered - Full Time
Mode - Full Time
Degree Type - On Campus
Course Level - Doctorate/M.Phil
Course Credential - Degree
Duration - 3 Years
Course Offered - Full Time
Mode - Full Time
Degree Type - On Campus
Course Level - Doctorate/M.Phil
Course Credential - Degree
Duration - 3 Years
Course Offered - Full Time
Mode - Full Time
Degree Type - On Campus
Course Level - Doctorate/M.Phil
Course Credential - Degree
EligibilityPost GraduationPost GraduationPost Graduation with 60%Post Graduation with 60%Post Graduation

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