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B.Sc. (Hons.) Computer Applications – SF

Course Information
Department Computer Science
Duration 4
Seats 30
Eligibility Candidates should have passed the Plus Two/equivalent examination with Physics, Chemistry, Mathematics or Computer Science
Application Mode Online
Curriculum Download PDF
Contact 04842870556
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The Bachelor of Science in Computer Applications (BSc CA) is a four -year undergraduate program that focuses on providing students with a strong foundation in computer science and its applications. The program is designed to equip students with the skills and knowledge, both academic knowledge and practical skills required to succeed in the rapidly evolving field of computer science. The program spans eight semesters, covering a wide range of topics from fundamental programming to advanced technologies like Artificial Intelligence and Big Data Analytics.

Graduates of the BSc CA program have excellent career prospects in both industry and academia. With the growing demand for professionals across multiple sectors, students can explore opportunities in:

  • Software Industry: AI Engineer, Machine Learning Engineer, Data Scientist, AI Research Scientist, and Software Developer.
  • Finance & Banking: AI-driven risk assessment, fraud detection, and predictive analytics.
  • Healthcare: Medical image analysis, AI-powered diagnostics, and healthcare automation.
  • Cybersecurity and Networking: Graduates can pursue careers in cybersecurity and networking.
  • IT Consulting and Management: Roles are available in IT consulting and management.
  • Database Administration: Opportunities exist as database administrators.
  • Network Administration: Graduates can work in network administration
  • Government & Defense: Cybersecurity, surveillance, and AI policy.

Discipline Specific Courses (DSC):

  • Semester I: Programming in C
  • Semester II: OOPS with C++
  • Semester III: Data Structures using C++, DBMS, Digital Electronics
  • Semester IV: Programming in Java, Advanced Web Technologies, Operating System
  • Semester V: Python for Data Science, Computer Networks, Software Engineering
  • Semester VI: Machine Learning, Software Development, Data Mining
  • Semester VII: Research Methodology, Software Testing Methodologies, Design and Analysis of Algorithms, Artificial Intelligence, Internet of Things, Big Data Analytics
  • Semester VIII: Research and Publication Ethics, Deep Learning

Discipline Specific Elective Courses (DSE):

  • Semesters V/VI: Microprocessors and Assembly Language Programming using 8086, System Software, Introduction to Cloud Technology, R Programming, Basic Android, Network Security, Theory of Automata, Computer Graphics, Image Processing
  • Semester VIII: Natural Language Processing, Block chain Technologies, Generative AI

Multidisciplinary Courses (MDC):
  • Semester I: Computer Hardware and Assembling, Cyber Laws and Online Safety
  • Semester II: Basic IT Tools
  • Semester III: Web Designing
Skill Enhancement Courses (SEC):
  • Semester IV: Advanced Excel
  • Semester V: AI Tools
  • Semester VI: Technical Writing using LATEX
Value Addition Courses (VAC):
  • Semester III: IT, Environment, and Holistic Living, White Hat Hacking
  • Semester IV: Green Computing, Information and Cyber Ethics
  • Semester VI: Cyber Forensics and Data Security, Cyber Security and Ethical Hacking, Health and Wellness