What is the cost of studying mass communication at Chitkara University, Chandigarh?

31 Views|Posted 3 years ago
Asked by Sandhya
2 Answers
A
3 years ago
The most affordable and inexpensive curriculum that you can get in Punjab is definitely available in Chitkara University. The students of the mass communication programme are very well aware of the facts of the respective subjects and out of fair of their concepts and knowledge, Chitkara offers stud

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M
3 years ago
The cost of studying in Chitkara Universities varies from the different courses, you select if you select journalism and mass communication courses, then it will 62 thousand per semester, and if you take another course that their cost will be according to that course and what facilities they provide

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To submit the application form for admission in B.E. at Chitkara University, candidates are required to pay the application fee of INR 1,100. This can be paid online. It is non-refundable.

Fee for B.E. CSE courses at Chitkara University is mentioned in the following table:

B.E. CSE course

Fee

CSE Artificial Intelligence & Future Technologie

INR 18.5 lakh

CSE AI & ML in collaboration with Microsoft

INR 14.3 lakh

Computer Science & Engineering with Specialisations

 

INR 12.4 lakh

The above mentioned fee is the programme fee for four years.

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Chitkara University reserves seats for SC/ST/OBC/PwD candidates as per the policy of the state government. There are 25% seats reserved for bonafide candidates of Himachal Pradesh at HP campus of the university. At the Punjab campus, there are 15% seats reserved for Punjab domicile candidates.

Yes, there is an age limit to apply for B.E. at Chitkara University. Only candidates born on or after October 1, 2004 are eligible to apply in academic cycle 2026-2027.

The university offers the following Global Pathway Programmes:

  • B.E. in Computer Engineering with York University, Canada.
  • B.E. in Computer Science & Technology with Arizona State University, USA.
  • B.E. in Software Engineering as well as B.E. in AI & ML with Deakin University, Australia.

 

 

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