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B.Sc. Computer Science

Programme Details

Duration

3 years (6 semesters)

Eligibility

Completion of 10+2 from any stream with Mathematics/Computer Science as a subject and a minimum of 50% marks.

Programme Overview

The B.Sc. Computer Science programme provides a solid foundation in computer science principles, programming, hardware, networking, and emerging technologies. Students explore algorithms, software development, databases, AI, cybersecurity, and modern tools to solve real-world computational problems.

The curriculum emphasizes hands-on learning through extensive labs, coding projects, internships, and industry visits to build strong technical and problem-solving skills.

Programme Objectives

  • Develop strong programming and algorithmic thinking skills.
  • Provide in-depth knowledge of computer systems, networks, and databases.
  • Introduce emerging fields like AI, IoT, cloud computing, and cybersecurity.
  • Foster analytical thinking, software design, and project management abilities.
  • Prepare students for IT industry roles and advanced studies in computer science.

Course Structure

The curriculum builds progressive expertise in computer science:

  • Programming (C, C++, Java, Python), Data Structures & Algorithms
  • Database Systems, Operating Systems, Computer Networks
  • Web & Mobile Development, Software Engineering
  • AI, Cybersecurity, IoT, Cloud Computing, Big Data
  • Lab Sessions, Internships, Mini & Major Projects

Skills You Gain

  • Programming & Software Development
  • Algorithm Design & Problem Solving
  • Database & Web Technologies
  • Networking & System Administration
  • Mobile & Cloud Application Development
  • Cybersecurity & Ethical Hacking Basics
  • AI & Data Analytics Fundamentals
  • Project Management & Team Collaboration

Career Opportunities

This programme opens doors to dynamic roles in the IT industry:

  • Software Developer / Programmer
  • Web / Mobile App Developer
  • System Analyst / Network Administrator
  • Database Administrator
  • Cyber Security Analyst
  • Data Analyst / AI Engineer (Entry Level)

Higher Studies

  • M.Sc. Computer Science / Information Technology
  • MCA (Master of Computer Applications)
  • M.Tech in Specialized Areas (AI, Cybersecurity)
  • MBA (Information Technology / Systems)
  • Certifications: Cisco, AWS, Microsoft, Ethical Hacking

Detailed Syllabus

Semester I
  • Programming in C
  • Digital Electronics and Computer Organization
  • Mathematics I (Discrete Mathematics)
  • Fundamentals of Information Technology
  • English Language and Communication
  • Environmental Studies
  • Practical: C Programming Lab
  • Practical: Digital Electronics Lab
Semester II
  • Object Oriented Programming with C++
  • Data Structures using C
  • Mathematics II (Graph Theory & Statistics)
  • Computer System Architecture
  • Business Communication
  • Skill Enhancement Course - SEC 1
  • Practical: C++ & Data Structures Lab
  • Practical: Assembly Language Programming
Semester III
  • Java Programming
  • Database Management Systems
  • Operating Systems
  • Computer Networks
  • Software Engineering
  • Skill Enhancement Course - SEC 2
  • Value Education
  • Practical: Java Programming Lab
  • Practical: DBMS Lab (SQL/Oracle)
Semester IV
  • Python Programming
  • Web Technology (HTML, CSS, JavaScript, PHP)
  • Design and Analysis of Algorithms
  • Microprocessors and Interfacing
  • Cloud Computing Basics
  • Skill Enhancement Course - SEC 3
  • Environmental Studies - EVS
  • Practical: Python & Web Technology Lab
  • Practical: Mini Project (Web Application)
Semester V
  • Advanced Java / .NET Framework
  • Mobile Application Development
  • Artificial Intelligence Fundamentals
  • Cyber Security & Ethical Hacking Basics
  • Internship / Industrial Training
  • Project Work Phase I
  • Practical: Advanced Programming Lab
  • Practical: Mobile App Development Lab
Semester VI
  • Data Mining & Big Data Analytics
  • Internet of Things (IoT)
  • Software Testing & Quality Assurance
  • Elective (Machine Learning / Blockchain)
  • Extension Activity
  • Project Work Phase II
  • Practical: Major Project Implementation
  • Practical: Research Presentation

Join the Department of Computer Science

Empower your future with core computer science knowledge and cutting-edge technology skills.

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