Learn how computers work, how software is built, and how technology solves real-world problems. The course covers programming, algorithms, databases, artificial intelligence, networking, and software development through theory, practical labs, and projects.
How the degree evolves year by year
Year 1 builds the fundamentals of mathematics, physics and programming. Year 2 focuses on data structures, computer organization and databases. Year 3 introduces specializations such as AI, web technologies and networking through electives and projects. Year 4 emphasizes internships, a major project and career preparation.
What you'll study each semester
Build a strong mathematical foundation through calculus, linear algebra and analytical techniques used in engineering and computer science.
Study the principles of mechanics, electricity, magnetism, optics and modern physics that form the foundation of information and communication technologies.
Understand the chemical principles behind materials, energy storage, corrosion, polymers and other concepts relevant to Information Science and Electrical Engineering.
Develop technical drawing skills and learn to create accurate engineering drawings using computer-aided design (CAD) tools.
Learn the fundamentals of electrical and electronic systems, circuit components and their applications in modern engineering.
Learn problem-solving techniques, logical thinking and programming fundamentals using Python to develop efficient algorithms and software solutions.
Gain practical experience with electrical and electronic components, tools and basic laboratory practices through hands-on workshop sessions.
Develop awareness of physical health, mental well-being, nutrition, fitness, stress management and healthy lifestyle practices.
Develop communication, teamwork, leadership and professional skills essential for academic success and future careers.
Expand mathematical knowledge through differential equations, vector calculus and advanced analytical methods used in engineering and computer science.
Study the principles of mechanics, electricity, magnetism, optics and modern physics that form the foundation of information and communication technologies.
Understand the chemical principles behind materials, energy storage, corrosion, polymers and other concepts relevant to Information Science and Electrical Engineering.
Learn computer hardware fundamentals, operating systems, networking basics and introductory web design concepts.Learn computer hardware fundamentals, operating systems, networking basics and introductory web design concepts.
Learn programming fundamentals including functions, arrays, pointers, file handling and problem-solving using the C programming language.
Understand entrepreneurship, innovation, intellectual property rights and the process of transforming ideas into successful ventures.
Develop awareness of physical health, mental well-being, nutrition, fitness, stress management and healthy lifestyle practices.
Develop communication, teamwork, leadership and professional skills essential for academic success and future careers.
Gain practical experience with computer systems, productivity tools, networking basics and essential software applications through hands-on activities.
Study logic, sets, relations, graphs, combinatorics and discrete structures that form the mathematical foundation of computer science.
Learn mathematical structures including graphs, trees, relations and Boolean algebra used in computing and information technology.
Study advanced mathematical concepts including probability, statistics and numerical methods used in computer science and engineering.
Learn the mathematical foundations of computation, automata, formal languages and the principles behind programming languages.
Learn efficient methods to organize, store and process data using algorithms and common data structures for solving complex problems.
Understand object-oriented concepts such as classes, objects, inheritance, polymorphism and encapsulation to build modular software.
Study digital circuits, Boolean algebra, logic gates, combinational and sequential circuits used in modern computer systems.
Learn economic principles, cost analysis, financial planning and decision-making concepts relevant to engineering projects.
Understand professional ethics, social responsibility and sustainable engineering practices for responsible technological development.
Implement data structures and algorithms through practical programming exercises to improve problem-solving and coding skills.
Perform practical experiments on digital logic circuits, combinational systems and sequential circuits using modern laboratory tools.
Study advanced mathematical concepts including optimization, probability, statistics and numerical techniques used in computer science and engineering.
Learn how to design, manage and query databases using relational models, SQL, normalization and transaction management.
Understand how operating systems manage processes, memory, files, scheduling and computer resources efficiently.
Study the internal structure of computer systems, including processors, memory, instruction sets and input/output organization.
Perform practical experiments on process scheduling, memory management, file systems and shell programming in an operating system environment.
Gain hands-on experience in database design, SQL programming, queries, normalization and database application development.
Choose any ONE Professional Elective offered by the Computer Science Engineering department to develop expertise in a specialized area of your interest.
Learn how computers communicate through networks, including network protocols, routing, switching and internet technologies.
Study efficient algorithm design techniques, complexity analysis and optimization methods for solving computational problems.
Understand machine learning concepts, predictive models and data-driven techniques used to build intelligent computer systems.
Learn the architecture, programming and applications of microcontrollers used in embedded systems and automation.
Perform practical experiments on computer networking, network configuration, routing, switching and communication protocols.
Gain hands-on experience in implementing machine learning algorithms, data preprocessing and model evaluation using modern tools.
Choose any ONE Professional Elective offered by the Computer Science Engineering department to develop expertise in a specialized area of your interest.
Learn how programming languages are translated into machine code through lexical analysis, parsing, optimization and code generation.
Study advanced computing concepts including distributed systems, parallel computing and high-performance computing architectures.
Understand cybersecurity principles, network security, encryption, cyber threats and techniques to protect digital systems and information.
Gain practical experience in system programming, operating systems, networking and cybersecurity through laboratory exercises and projects.
Choose any ONE Professional Elective offered by the Computer Science Engineering department to develop expertise in a specialized area of your interest.
Choose any ONE Open Elective from the university's approved interdisciplinary courses to broaden your knowledge beyond your core discipline.
Choose any TWO Professional Electives from the department to specialize in advanced areas of Computer Science.
Choose any ONE Open Elective from the university's approved interdisciplinary courses.
Choose any ONE Professional Elective to gain expertise in an advanced Computer Science domain.
Choose any ONE Open Elective from the university's approved interdisciplinary courses.
What you can do after completing this course
Where graduates typically go
Design, develop and maintain software applications, websites and enterprise systems for various industries.
Analyze data to identify trends, generate insights and support business decision-making.
Build intelligent systems using machine learning, deep learning and data-driven algorithms.
Develop both frontend and backend applications using modern web technologies and frameworks.
Protect computer systems and networks by identifying vulnerabilities and implementing security measures.
Design, deploy and manage cloud infrastructure and services using leading cloud platforms.
Automate software deployment, monitor systems and improve collaboration between development and operations teams.
Test software applications, identify bugs and ensure products meet quality standards before release.
Develop Android and iOS applications that provide seamless user experiences on mobile devices.
Manage servers, networks and IT infrastructure to ensure secure and reliable system performance.
Where you can go next
Pursue advanced studies in computer science with specializations in software engineering, AI, cybersecurity and more.
Study abroad or in India with a research-focused master's degree in Computer Science or related fields.
Develop management and leadership skills for careers in technology management, consulting and entrepreneurship.
Specialize in AI, machine learning, deep learning and big data technologies.
Gain expertise in network security, ethical hacking, digital forensics and information security.
Focus on advanced software design, development, testing and project management practices.
Study cloud infrastructure, virtualization, distributed systems and modern cloud technologies.
Qualify for postgraduate admissions in IITs, NITs and secure opportunities in Public Sector Undertakings (PSUs).
Continue academic research and contribute to innovation in computer science and emerging technologies.
Things students often get wrong about this course
No. The course starts with programming fundamentals and gradually builds your coding skills.
The course also covers databases, networking, cybersecurity, artificial intelligence, software engineering and system design.
Basic mathematical skills and consistent practice are more important than being naturally gifted at mathematics.
Career success depends on your skills, projects, internships and continuous learning, not just the degree.
AI is a tool that assists developers. Skilled engineers are still needed to build, improve and manage software systems.
CSE graduates can work in healthcare, banking, manufacturing, education, government, startups and many other industries.
Most programming and coursework can be completed on a standard laptop that meets the university's basic requirements.
Technology evolves continuously, so successful professionals keep learning throughout their careers.
Answers to common questions students ask