ONLINE BCA
Eligibility:
Candidates must have completed 10+2 from a recognized national or state board institution or 10+3 diploma from a recognized national or state institute.
Candidates must have at least 45% marks in aggregate in 10+2 / diploma (40% for reserved categories).
Key Features:
| Academic: | Student Services: |
|---|---|
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Self-paced learning driven by video lectures and self-learning material such as reading material, e-books, quizzes, and assignments. Gain domain expertise through vigorous training in critical Gain industry-relevant skills like coding, analytical, & statistical skills by learning key subjects such as visual programming, digital logic, data structures & algorithms, mobile application development, and computer-oriented numerical methods. Free access to paid Coursera content. |
Totally Online Admission Process. Easy Fee Financing options, including zero interest EMIs. Dedicated course mentors and coordinators who can be contacted to clarify doubts using discussion forums, instant messaging, and email on the Learning Management System (LMS). Global networking opportunities through Alumni networks. |
Curriculum:
| SEMESTER 1 | Fundamentals of Mathematics Technical Communication C Programming Fundamentals of Computers & Digital Systems Introduction to Web Programming Environmental Science C Programming Lab Web Programming Lab |
| SEMESTER 2 | Basic Statistics and Probability Data Structures Database Management System Principle of Programming Languages Object-Oriented Programming using C++ Database Management System Lab Data Structures using C++ Lab |
| SEMESTER 3 | Computer Organization and Architecture Java Programming Data Communication & Protocols Operating Systems Artificial Intelligence for Problem Solving Java Programming Lab Operating System Lab |
| SEMESTER 4 | Python Programming Software Engineering Data Mining & Visualization Introduction to Network Security Python Programming Lab Data Mining and Visualization Lab |
| SEMESTER 5 | Mobile Application Development Machine Learning Cloud Computing & Applications Machine Learning Lab Aptitude and Technical Development Big Data Analytics |
| SEMESTER 6 | Wireless Communication Unix and Shell Programming Big Data Unix and Shell Programming Lab Project |
Fee Details:
Full Fee: Rs. 135000.00
Fee per year: Rs. 45000.00
Fee per semester: Rs. 22500.00
Disclaimer:
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