BS in Computer Science
- Public University
- Department of Computer Information Systems and Analytics
BS in Computer Science at UCA Overview
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website |
Tuition & Fees | ₹14.49 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
BS in Computer Science at UCA Fees
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 14,48,979 |
Fees components | Amount (for 1 year) |
---|---|
Hostel & Meals | INR 7,14,615 |
Insurance | INR 1,24,993 |
International Administrative Fee | INR 43,310 |
Total approximate fees | INR 8,82,918 |
BS in Computer Science at UCA Entry Requirements
- CGPA - 2.5/4
- Students must have a minimum GPA of 2.50 on a 4.0 scale for admission to UCA in High School
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%
- Marks - 61/120
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- Marks - 43/90
- NA
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- Marks - 6/9
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- Marks - 95/160
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- Yes
- Read lessFor UG :- A first-time undergraduate who does not qualify for admission may be admitted under extenuating circumstances with Conditional-Prep Status if the applicant has graduated from high school, or successfully completed GED requirements, and meets the following criteria: Student requests review of his/her application by submitting a formal appeal form and all required supplemental documentation. The University Admissions Committee grants Conditional-Prep Status admission upon review of the application. For PG:- Conditional admission may be granted when recommended by a department and approved by the Graduate Dean. For each conditionally admitted student, the Graduate School and/or appropriate department will specify on the admission review form the conditions for obtaining regular admission status, including a specified deadline, if applicable, for meeting these conditions
BS in Computer Science at UCA Application Process
- University offers students to pay their fees in installments
- Fall-
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Payment plans for Fall may be set up through CASHNet second week of July
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Set up before August 15 – 20% down payment; 20% due August 15, September 15, October 15, and November 15
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Set up before September 15 – 40% down payment; 20% due September 15, October 15, and November 15
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Set up before October 15 – 60% down payment; 20% due October 15 and November 15
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- Spring-
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Payment plans for Spring may be set up through CASHNet first week of December
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Set up before January 15 – 20% down payment; 20% due January 15, February 15, March 15, and April 15
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Set up before February 15 – 40% down payment; 20% due February 15, March 15, and April 15
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Set up before March 15 – 60% down payment; 20% due March 15 and April 15
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- Summer-
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Payment plans for Summer may be set up through CASHNet first week of May
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Set up before June 1 – 40% down payment; 20% due June 1, July 1, and August 1
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Set up before July 1 – 60% down payment; 20% due July 1 and August 1
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Set up before August 1 – 80% down payment; 20% due August 1
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BS in Computer Science at UCA Rankings
BS in Computer Science at UCA Placements
Particulars | Statistics (2021) |
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Internship Available | Yes, Students have the option to complete an internship |
BS in Computer Science at UCA Highlights
- The Bachelor of Science program in Computer Science emphasizes problem-solving in the context of algorithm development and software implementation and prepares students for effectively using modern computer systems in various applications
- This BS program requires a minimum of 54 credit hours in computer science, 24 credit hours in mathematics and the natural sciences, and the university general education program
- The program curriculum provides required computer science courses such as data structures, networking, algorithms, database systems, programming language theory, computer architecture, object-oriented software development, operating systems, information security, ethical implications, and software engineering
- The elective courses include artificial intelligence, Linux/UNIX systems, parallel computing, multimedia computing, mobile programming, web technologies, data mining, data clustering, and other current topics in computer science, cybersecurity, and data science