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BSc Computer Science 3rd year Syllabus

Akangsha Das's profile picture

Updated on Jun 25, 2025

Akangsha Das

The 3rd year of BSc Computer Science is dedicated to advanced and industry-relevant topics, readying students for professional careers and postgraduate studies. Major topics are Artificial Intelligence, Machine Learning, Compiler Design, Mobile Computing, and Cybersecurity. The curriculum is usually split into Semester 5 and Semester 6, each containing 4–5 core and elective courses, and practical labs and project work. Students learn problem-solving of real-world issues using contemporary technologies and tools.

 

The curriculum focuses on both academic rigor and real-world application. Electives such as Big Data, Blockchain, and Cloud Computing enable the student to delve into specialized areas. A dissertation or final project is usually expected in Semester 6, which accounts for a large portion of the final grade. On an average, about 40–50% of the final year syllabus consists of project- or laboratory-based work, encouraging independent learning and creativity. This year serves as a gateway to software development, data science, or advanced studies like MCA, MSc CS, or specialized certifications.

 

Table of Contents
  1. BSc Computer Science Semester-Wise 3rd year Syllabus 2025
  2. BSc Computer Science 3rd year Elective Subjects
  3. BSc Computer Science Sem-wise Exam Pattern
  4. Frequently Asked Questions

 

BSc Computer Science Semester-Wise 3rd year Syllabus 2025

The 3rd year, spanning Semesters 5 and 6, delves into advanced topics like Artificial Intelligence, Machine Learning, Compiler Design, Mobile Computing, and Cybersecurity. Each semester combines theory, hands-on labs, and electives to deepen your understanding of modern computing. In 2025, curriculums typically include a major project or dissertation in the final semester, which carries substantial weight in your overall evaluation.

Semester 5

Semester 6

Artificial Intelligence

Mobile Computing

Machine Learning

Cloud Computing

Compiler Design

Cybersecurity

Elective Subject (e.g., Big Data, IoT)

Elective Subject (e.g., Data Mining, Blockchain)

Project / Dissertation

Project / Dissertation

 

BSc Computer Science 3rd year Elective Subjects

In the 3rd year of BSc Computer Science, elective subjects allow students to specialize in advanced and emerging areas of the field. These electives are designed to align with current industry trends and academic interests, offering options such as Big Data, Cloud Computing, Blockchain Technology, Data Mining, Internet of Things (IoT), and Cybersecurity.

Semester

Elective Subjects

Semester 5

Big Data, Internet of Things (IoT), Data Mining

Semester 6

Blockchain Technology, Cybersecurity, Cloud Computing

 

BSc Computer Science Sem-wise Exam Pattern

The BSc Computer Science program generally adopts a semester-based exam system, splitting the course into six semesters spread over three years. Every semester comprises theory and practical exams to analyze a student's grasp of fundamental subjects and manual skills. Theory exams typically comprise multiple-choice questions, short answers, and long descriptive questions. Practical exams determine programming, lab assignments, and project work.

Features

Details

Exam Structure

Semester-wise exams held twice a year

Theory Exams

Combination of MCQs, short answer, and descriptive questions

Practical Exams

Programming assignments, lab tasks, and project evaluations

Internal Assessment

Quizzes, assignments, presentations to assess final marks

Evaluation Criteria

Combination of theory, practical, and internal assessment scores

Passing Criteria

Generally 40% marks required

Exam Duration

Typically 3 hours per theory paper

 

Frequently Asked Questions

How is the 3rd year syllabus industry readying and job placement readying the students?

The 3rd year syllabus of BSc Computer Science is intended to bridge the gap between theoretical studies and industry needs. Subjects like Artificial Intelligence, Machine Learning, and Cloud Computing reflect real-life tech usage and job titles. In addition, students also need to complete a major project or dissertation that replicates development or research conditions in the real world. Lab courses and electives stress learning of practical skills, analytical habits of mind, and application of the newest tools, all of which are hugely valued by the work environment. Resume preparation, mock interviews, and soft skill development are also integrated into the final-year course by many colleges to help prepare students for employment.

Do students need to write full-fledged software or research-based solutions for the final-year project?

Yes, in most universities, the final-year project is a mandatory, assessed module in which either students create a full-fledged software application or conduct a research-based study. It may range from creating web applications, mobile apps, or machine learning algorithms to analysis of large datasets or simulation of network systems. The project must have new work, good documentation, and a semester-end viva or presentation. The project is typically 100–150 marks and can prove to be a significant factor in the final degree classification. It's also typically the most contentious issue in job interviews and postgraduate admissions.

Is it possible to do more than one elective, or only one per semester?

All the universities allow one to take one elective each semester of the 3rd year, although that varies with the university and credit system.

In what way is 3rd year syllabus different from the previous years in learning style?

The 3rd year is one of transition from basics to specialization and application. Where the 1st and 2nd years are course intensive with data structures and system intricacies, the 3rd year introduces high-level concepts, project work, and independent research and creative problem-solving electives. Pedagogy is discussion and project oriented. Evaluation also goes beyond conventional exams and usually includes presentations, code reviews, case studies, and group projects, approximating real work culture.

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