B.Tech. in Electronics and Computer Science Engineering
Build intelligent products at the intersection of electronics and computing—from embedded hardware and connected devices to algorithms, data systems and machine intelligence.
Where hardware meets intelligence
The B.Tech. programme in Electronics and Computer Science Engineering prepares students for careers in the electronics, communication and IT industries. Its internationalised curriculum is aligned with statutory requirements and national and international accreditation expectations.
Laboratories, centres of excellence and live projects support learning in machine learning, artificial intelligence, IoT, robotics, image processing, network security, VLSI and computational intelligence. The programme prepares graduates for professional careers, research, higher studies and entrepreneurship.
Embedded hardware
Electronic circuits, processors, embedded platforms and hardware–software co-design.
Computing systems
Algorithms, data structures, operating systems, databases and software engineering.
Networks & intelligence
Computer networks, signal processing, machine learning and data-driven systems.
Innovation
IoT, robotics, VLSI, computer vision and research-led product development.
Eligibility criteria
Applicants should review the current KIIT admission rules before applying.
Full admission information- 01
Candidates who have completed or are appearing for a 10+2 examination or equivalent may apply for the four-year B.Tech. programme.
- 02
Applicants should have studied in regular, full-time formal education during school or college.
- 03
A minimum of 60% taken together in Physics, Chemistry and Mathematics at 10+2 or equivalent is required.
What the programme prepares you to do
Explore the educational objectives, graduate outcomes and programme-specific capabilities.
Lead successful careers, pursue entrepreneurship, solve problems in system design, algorithms and data, computer networking and allied areas, or undertake advanced study.
Use knowledge, skills and resources to devise creative engineering solutions in multidisciplinary environments while following ethical practices.
Develop an attitude of lifelong learning and apply and adapt new ideas as technology evolves.
Engineering knowledge
Apply mathematics, science, engineering fundamentals and specialised knowledge to complex engineering problems.
Problem analysis
Identify, formulate and analyse complex problems using first principles and relevant research literature.
Design and development
Design solutions, components or processes with appropriate health, safety, cultural, societal and environmental consideration.
Investigation
Use research methods, experiments, data analysis and synthesis to reach valid conclusions.
Modern tool usage
Select and apply suitable engineering and IT tools, understanding their capabilities and limitations.
Engineer and society
Assess societal, health, safety, legal and cultural considerations and professional responsibilities.
Sustainability
Understand the societal and environmental impact of engineering solutions and the need for sustainable development.
Ethics
Apply ethical principles and uphold professional responsibilities and engineering practice.
Individual and team
Work effectively as an individual, team member or leader in diverse multidisciplinary teams.
Communication
Write, present, comprehend and exchange clear technical information with professional and public audiences.
Project management
Apply engineering and management principles to personal work, teams and multidisciplinary projects.
Lifelong learning
Recognise and pursue independent learning in the broad context of technological change.
Design and develop systems using suitable hardware and software tools for industrial data-management and information-communication requirements.
Conduct research in networking, software engineering, embedded systems and related technologies.
Design complex products with suitable tools for societal and engineering needs and communicate effectively in groups.
Curriculum & brochure
Laboratories
Purpose-built environments support learning across electronic circuits, programming, data structures, communication, networking and embedded computing.