The BTech in Software Engineering syllabus is designed to build strong fundamentals of programming, computer systems, and software development processes. It includes subjects like mathematics, data structures, databases, computer networks, operating systems, software testing, and application development. The program focuses on practical coding, lab work, real projects, and industry-level software engineering practices.
The first year focuses on building core engineering and computing fundamentals. Students learn mathematics, basic programming, and essential concepts required for advanced software engineering subjects.
The second year focuses on building strong programming and computer science fundamentals. Students learn data structures, algorithms, database systems, and computer architecture concepts.
The third year focuses on software engineering methodologies and real-world development practices. Students learn software designing, testing, development tools, and enterprise system concepts.
The final year focuses on advanced electives, industry training, and major project work. Students gain specialization in modern software technologies and build industry-ready skills through real projects.
| Subject | Book Title | Author |
|---|---|---|
| Programming | The C Programming Language | Kernighan & Ritchie |
| Data Structures | Data Structures and Algorithms | Narasimha Karumanchi |
| Software Engineering | Software Engineering | Ian Sommerville |
| DBMS | Database System Concepts | Silberschatz |
BTech Software Engineering is a 4-year program divided into 8 semesters. The first year covers mathematics and programming fundamentals. The second year focuses on data structures, DBMS, OS, and networks. The final years cover software engineering, cloud, DevOps, internship, and major projects.
The syllabus includes programming fundamentals, object-oriented programming, and data structures. These subjects help students build logic, problem solving, and coding practice. Regular lab sessions strengthen hands-on learning. Strong fundamentals help students perform better in placements and projects.
Yes, DSA is one of the most important subjects in the program. It teaches optimized problem solving and efficient coding techniques. Most placement interviews focus heavily on DSA concepts. Strong DSA knowledge helps students get high-paying job offers.
Software Testing and Software Engineering subjects focus on quality and development processes. Students learn SDLC models, requirement gathering, testing techniques, and documentation. Basic automation testing concepts may also be taught in many universities. These skills are important for QA and product development roles.
Yes, many universities include web technologies and mobile app development. Students learn front-end basics like HTML, CSS, JavaScript and development concepts. The program may also introduce cloud computing and DevOps tools. These topics help students become industry-ready for modern tech roles.
Yes, cloud computing and DevOps are included in many updated curriculums. Students learn basic cloud models, deployment, and CI/CD practices. DevOps skills help in software deployment and automation roles. These are high-demand skills and improve placement opportunities.
Final-year electives may include AI/ML, data science, blockchain, IoT, and cybersecurity. Choice depends on interest, career goals, and job market demand. Students should select electives that match their project and internship plan. Strong specialization improves job and higher study opportunities.
Students are evaluated through written exams, lab work, assignments, and internal assessments. Most universities include mini projects and final-year major projects. Major project is compulsory and includes project documentation and viva. Final-year project improves practical skills and placement readiness.
Students should refer to standard books for programming, DSA, DBMS, and software engineering. Books like Sommerville for software engineering and Silberschatz for DBMS are popular. Along with books, coding platforms and project practice are very helpful. Consistent learning improves both academic and placement performance.