48 monthsProgramme duration
459,000 INRTuition Fee/year
30 Sep, 2025Application Deadline
SepStarting Month
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BTech
Study Level
Undergraduate
Study Mode
On Campus
B.Tech. Computer Science and Engineering programme provides you with a sound knowledge of computing principles and applications in scientific and engineering domains. It develops in student ability to analyze complex engineering problems and generate solutions through computing. It also gives you exposure to principles and practices of design and development of computing systems. The graduates will apply their knowledge of science, mathematics, and computer science and engineering to identify and solve complex engineering problems across a broad range of application areas. The graduates will work and communicate effectively in an interdisciplinary environment, either independently or in a team, and demonstrate significant leadership qualities. USP of the course: The course is of four years and it will help students in designing software systems/developments, or processes to meet identified needs within economic, environmental and social constraints. It will help students for new inventions, a patent or an innovation, in the areas of Artificial Intelligence, the Internet of Things, Big Data Analytics, Security and Cryptography, Database Management, Quantum Computing, Mobile Computing State-of-the-art labs with the latest software.
Comprehensive Curriculum: • The curriculum covers a wide range of computing principles and their applications in scientific and engineering domains. This includes foundational topics such as algorithms, data structures, computer architecture, operating systems, and programming languages. • Advanced courses delve into specialized areas such as machine learning, computer vision, natural language processing, robotics, and bioinformatics, providing students with a holistic understanding of the field.
Problem-Solving Skills:
Through coursework, projects, and practical exercises, students develop strong analytical and problem-solving skills. They learn to dissect complex engineering problems, identify key issues, and formulate effective solutions using computational techniques.
Case studies and real-world projects offer hands-on experience, enabling students to apply theoretical knowledge to practical scenarios and develop innovative solutions.
Design and Development Expertise:
The programme emphasizes principles and practices related to the design and development of computing systems. This includes software engineering methodologies, user interface design, software testing, and quality assurance.
Comprehensive Curriculum: • The curriculum covers a wide range of computing principles and their applications in scientific and engineering domains. This includes foundational topics such as algorithms, data structures, computer architecture, operating systems, and programming languages. • Advanced courses delve into specialized areas such as machine learning, computer vision, natural language processing, robotics, and bioinformatics, providing students with a holistic understanding of the field.
Problem-Solving Skills:
Through coursework, projects, and practical exercises, students develop strong analytical and problem-solving skills. They learn to dissect complex engineering problems, identify key issues, and formulate effective solutions using computational techniques.
Case studies and real-world projects offer hands-on experience, enabling students to apply theoretical knowledge to practical scenarios and develop innovative solutions.
Design and Development Expertise:
The programme emphasizes principles and practices related to the design and development of computing systems. This includes software engineering methodologies, user interface design, software testing, and quality assurance.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BTech
Study Level
Undergraduate
Study Mode
On Campus
B.Tech. Computer Science and Engineering programme provides you with a sound knowledge of computing principles and applications in scientific and engineering domains. It develops in student ability to analyze complex engineering problems and generate solutions through computing. It also gives you exposure to principles and practices of design and development of computing systems. The graduates will apply their knowledge of science, mathematics, and computer science and engineering to identify and solve complex engineering problems across a broad range of application areas. The graduates will work and communicate effectively in an interdisciplinary environment, either independently or in a team, and demonstrate significant leadership qualities. USP of the course: The course is of four years and it will help students in designing software systems/developments, or processes to meet identified needs within economic, environmental and social constraints. It will help students for new inventions, a patent or an innovation, in the areas of Artificial Intelligence, the Internet of Things, Big Data Analytics, Security and Cryptography, Database Management, Quantum Computing, Mobile Computing State-of-the-art labs with the latest software.
Comprehensive Curriculum: • The curriculum covers a wide range of computing principles and their applications in scientific and engineering domains. This includes foundational topics such as algorithms, data structures, computer architecture, operating systems, and programming languages. • Advanced courses delve into specialized areas such as machine learning, computer vision, natural language processing, robotics, and bioinformatics, providing students with a holistic understanding of the field.
Problem-Solving Skills:
Through coursework, projects, and practical exercises, students develop strong analytical and problem-solving skills. They learn to dissect complex engineering problems, identify key issues, and formulate effective solutions using computational techniques.
Case studies and real-world projects offer hands-on experience, enabling students to apply theoretical knowledge to practical scenarios and develop innovative solutions.
Design and Development Expertise:
The programme emphasizes principles and practices related to the design and development of computing systems. This includes software engineering methodologies, user interface design, software testing, and quality assurance.
Comprehensive Curriculum: • The curriculum covers a wide range of computing principles and their applications in scientific and engineering domains. This includes foundational topics such as algorithms, data structures, computer architecture, operating systems, and programming languages. • Advanced courses delve into specialized areas such as machine learning, computer vision, natural language processing, robotics, and bioinformatics, providing students with a holistic understanding of the field.
Problem-Solving Skills:
Through coursework, projects, and practical exercises, students develop strong analytical and problem-solving skills. They learn to dissect complex engineering problems, identify key issues, and formulate effective solutions using computational techniques.
Case studies and real-world projects offer hands-on experience, enabling students to apply theoretical knowledge to practical scenarios and develop innovative solutions.
Design and Development Expertise:
The programme emphasizes principles and practices related to the design and development of computing systems. This includes software engineering methodologies, user interface design, software testing, and quality assurance.
Admission Requirements
50+
Passed 10+2 examination with Physics and Mathematics as compulsory course and any one course from Chemistry/ Computer Science/Electronics/Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship.
Obtained at least 50% marks in the above 2 compulsory and any one selected (from list of 12) subjects taken together.
OR
Passed min. 3 years Diploma examination with at least 50% marks
30 Sep 2025
4 Years
Sep
Tuition fees
Domestic
250,000 INR
Domestic (Out of State)
250,000 INR
International
459,000 INR
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More programmes from the university
Frequently Asked Questions
4 years
Computer Science is a field that takes a broad approach to computing. It covers all aspects of modern computer systems, and their ever-increasing role in contemporary society. Students majoring in CS will acquire deep theoretical and technical understanding, as well as practical knowledge of computer software and hardware development.
Career opportunities include software developer, data scientist, network administrator, systems analyst, cybersecurity analyst, web developer, database administrator, and many more.
Important skills include programming languages (e.g., Python, Java, C++), problem-solving, critical thinking, algorithm design, teamwork, communication, and adaptability.
It depends on your interests and career goals, but commonly recommended languages include Python (for its versatility), Java (for its popularity in enterprise software), JavaScript (for web development), and C++ (for system programming and game development).
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