Shri Khushal Das University MCA Admissions 2025
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Department of Computer Science at Veer Narmad South Gujarat University, Surat, offers several postgraduate programs in computer science and applications. The admission process is aimed at selecting the able and motivated candidates for its different programs.
The department mainly offers two full-time Masters Programs: Masters in Computer Applications (MCA) and Post-Graduate Diploma in Computer Applications (PGDCA). M.Sc. in Artificial Intelligence and Machine Learning and Ph. D. in Computer Science are also offered by the department. Admission normally follows a cycle relative to the academic year : hence applications will mostly be invited some months prior to the actual commencement of the academic session.
In terms of program-wise eligibility requirements; for the admission to MCA programs, a bachelor's degree in relevant field is required with background in mathematics or computer science. In the case of PGDCA, generally a bachelor's degree in any discipline is considered. For the M.Sc. admission in Artificial Intelligence and Machine Learning, it commonly requires a bachelor degree in a relevant area whereas, for Ph. D. admission, it usually requires a master's degree in Computer Science or related area.
Application Process
The application process for the Department of Computer Science, Veer Narmad South Gujarat University, Surat, involves a number of steps:
1. Notification: The department announces the beginning of the admission process through the university website and other media channels.
2. Application Form: Candidates are required to fill out the application form, which is probably available on the official university website.
3. Document Submission: All necessary documents are to be submitted along with the application. These generally include:
4. Application Fee: Payment of the application fee that is prescribed by the university is required from candidates.
5. Selection Process: The selection is primarily on the basis of the academic performance in the relevant undergraduate program. There might be other criteria for some programs, such as entrance tests and interviews.
6. Merit List: A merit list is drawn up and published on the university website based on selection criteria for the selected candidates.
7. Document Verification: Verified candidates are called for document verification.
8. Fee Payment: After successful document verification, candidates are to pay the course fees in order to validate their admission.
9. Orientation: Admitted students are to join an orientation program to receive an overview of the department and its facilities.
Program-wise Admission Process
MCA (Master of Computer Applications): The MCA program at the Department of Computer Science in VNSGU is a two-year full-time course, with an intake capacity of 120 students, signifying its wise commitment to the production of able IT professionals. The program attempts to provide detailed knowledge of modern computing concepts. Admission criteria will probably be based on the candidate's performance in their undergraduate degree and any relevant entrance tests according to university standards.
PGDCA (Post Graduate Diploma in Computer Applications): It is a one-year program that imparts a focused curriculum to students seeking to upgrade their skills in computer applications. The course is open for120 students. Graduates from various disciplines are generally eligible for admission to this program, thereby widening the scope of applicants.
M.Sc in Artificial Intelligence and Machine Learning: This is a specialized postgraduate program offered by the department with an intake of 40 students. The admission process would look into the candidate's bachelor's degree in a relevant field and their aptitude in AI and ML concepts.
Ph.D. in Computer Science: The department offers Ph.D. study in Computer Science. The Ph.D. admission procedure involves a more rigorous selection including assessment of research projects, interviews of selected candidates, in relation to the applicant's academic standard and research background.
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