Compare KITSW M.Tech. in Data Science Vs UCEOU

Compare KITSW M.Tech. in Data Science and UCEOU M.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) course on the basis of their Fees, Placements, Cut Off, Reviews, Seats, Courses and other details. Explore Shiksha for detailed comparison on all course parameters and Download free information on M.Tech Admission details, Placement report, Eligibility criteria etc.
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University College of Engineering, Osmania UniversityM.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
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Kakatiya Institute of Technology and ScienceWarangalM.Tech. in Data Science
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University College of Engineering, Osmania UniversityHyderabadM.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
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Institute Information
1980
Private, Autonomous
Total Courses (22)
8 Courses
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1929
Public/Government, Autonomous
Total Courses (45)
36 Courses
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Course Details
Degree
PG
2 years
Full Time, Classroom
Degree
PG
2 years
Full Time, Classroom
Placement
INR 4.00 Lakh
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INR 6.00 Lakh
INR 24.00 Lakh
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Course Fees
INR 1.40 Lakh
(for 2 years)
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INR 2.00 Lakh
(for 2 years)
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Admission Info
TS PGECET, GATE
Eligibility (General)
50%
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Cut Off
The Cut off is for Final Round, All India and General category
Round 1 | Rank 2943
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Total Seats
12
18
Accreditation and Approval
Grade 'A'
AICTE
Grade 'A+'
AICTE
Infrastructure & Facilities
  • Library
  • Cafeteria
  • Hostel
  • Sports Complex
  • Gym
  • Hospital / Medical Facilities
  • Shuttle Service
  • Auditorium
  • Labs
  • Library
  • Cafeteria
  • Hostel
  • Sports Complex
  • Gym
  • Hospital / Medical Facilities
  • Wi-Fi Campus
  • Auditorium
  • Labs
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Popular comparisons with UCEOU

University College of Engineering, Osmania UniversityM.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
VSChaitanya Bharathi Institute of Technology, HyderabadM.Tech. in Artificial Intelligence and Data Science
University College of Engineering, Osmania UniversityM.E. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
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