Years | year 1 | year 2 | ||
---|---|---|---|---|
Semester | 1 | 2 | 3 | 4 |
Tution fees | ₹45000 | ₹45000 | ₹45000 | ₹45000 |
Total Year Wise fees | ₹90,000 | ₹90,000 |
Events | Dates |
---|---|
Chandigarh University CUCET 2024 Exam Dates (Phase 1) | Oct 20, 2023 - May 31, 2024 |
Chandigarh University CUCET 2024 Application Deadline (Phase 1) | Jul 19, 2024 |
Candidate must have completed bachelor's degree in B.A./BCA/B.Sc. / B.Com (Statistics / Commerce or Mathematics or Computer Science) /B.E/B.Tech OR equivalent undergraduate degree with any one of the following subject Computer Science/ Mathematics/ Statistics with atleast 50% marks in aggregate/- INR
Chandigarh University | VIT Vellore | Amity University Noida | |
---|---|---|---|
Reviews Rating | |||
Cost To Study | Total Fees ₹180000 (2 Years ) Hostel Fees ₹106800 | Total Fees ₹162000 (2 Years ) Hostel Fees ₹133700 | Total Fees ₹214000 (2 Years ) Hostel Fees ₹85000 |
Ranking | # Ranked 40/100 by Outlook Science Ranks | # Ranked 601-800/801 by Times Higher Education Science Ranks | # Ranked 65/197 by India Today Science Ranks |
Highest Salary | ₹17000000 | ₹8800000 | ₹6175000 |
Average Salary | - | ₹1100000 | - |
General Course Details | Duration - 2 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Degree | Duration - 2 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Degree | Duration - 2 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Degree |
Eligibility | Graduation with 50%+ CUCET | Graduation with 60% | Graduation |
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AI is the future and data science is a big aprt of AI that is growing rapidly throghout the world and that is why i have chosen this course. This curriculam prepares you for the world that is come in the near future. Overall evn though the course curriculam was good there should have been more advance teachings and new real world applications.
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The course covers a large area of major machine learning ,deep learnind,sql,and data visualisation. The course also covers a major portion of sql. And in accordence with there are also labworks. The course curriculum is well organised and accordingly planned ,so that the students can get maximum benifit from it.
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The course curriculum is pretty good. They have all the lab facilities provided with students. They also revise the syllabus each year. There is subjects like machine learning and deep learning with hands on projects that let's students learn
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The course curriculum consists of 4 semester and in which last semester consist of only submission of research paper and dessertation.Various data science tools were added in the curriculum.Deep learning and machine learning were dealt deeply.
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Cu provides good faculty alongside up to date curriculum. They teach most demanded tools and services like python power bi sql etc. they give theoretical as well as practical implementation making placement times easy
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Course curriculum is very difficult the counsellor say that the faculty teach python in first semester but they teach r language which is also fine but i am excited for python that's why i am sharing this. Overall faculty average they are supportive but must faculty is also freshy like me they have very less experience but faculties are very supportive in every field. They solves your all doubts but in some cases they are also confused to answer you they have to research and then they clear your all doubt but ya they accept this thing and never get frustrated with this. Maximum teachers are assistant professor which is okay but as i am pursuing masters at least i can deserve a good professor.
I chose this course due to the current demand of industry and I want to be a data scientist. the student-teacher ratio is about 30:1 .teacher are well qualified in master's and P.hD. the exam sem exam is offline
Since data is the future and nowadays the demand for data science is increasing that's why I opted for this course. the faculty is fine there and every teacher has done a PHD. the student and teacher ratio is 40:1, which is quite large.
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