About the Programme
Electronics and Computer Engineering [with Specialization in Artificial Intelligence & Machine Learning] is a cross-discipline, integrated program that explores the exciting interface between two traditional engineering domains Electronics and Computer science. This engineering discipline synchronizes the latest developments that combine hardware electronics, software and computer systems together for any integrated intelligent embedded system design. This is an inter disciplinary under graduate degree program under School of Engineering and Technology. This programme is designed to bridge the gap between software analysis and hardware design in the lucrative fields such as- machine learning, data science, Internet of Things (IoT) and artificial intelligence etc. This programme aims to offer thorough knowledge of the theory and practice of software systems and its hardware implication in the purview of embedded system design. This programme addresses the interest of a wide audience of learners whose interests are versatile and interdisciplinary for hardware design as well as software analysis. Highlights of the Programme include,
• Globally competent curriculum vetted through involvement of industry experts and academic experts in line with industry requirements.
• The students will have mandatory internships and also industry-based student internships to understand the requirements of industry.
• Students are given a plethora of interdisciplinary and multidisciplinary disciplines through open electives and global electives in line with National Education Policy 2020.
• Industry oriented curriculum towards providing opportunities to solve real time problems faced by industries.
• Application based teaching learning through case studies and frequent field visits.
• Opportunity to hone their skill sets required in a particular domain through Honours and Minor programmes.
Intelligent Computing Ecosystem
Students gain exposure to modern computing environments, embedded platforms, AI-enabled systems, cloud technologies, and advanced engineering tools that support next-generation technology development.
Industry and Technology Integration
The programme promotes strong engagement with industries, research organizations, startups, and professional bodies through internships, live projects, technical workshops, and collaborative learning initiatives.
Innovation and Digital Transformation
The curriculum encourages innovation, design thinking, intelligent system development, and interdisciplinary problem-solving through project-based learning, hackathons, research activities, and emerging technology applications.
Global Career and Research Readiness
The programme equips students with technical expertise, professional competencies, ethical values, leadership abilities, and entrepreneurial mindset required for global careers, higher studies, research, and technology innovation.
Why Choose This Programme?
Integration of Electronics and Computing
The programme uniquely combines electronics engineering with computer
technologies, enabling students to work on intelligent and connected systems.
Future-Ready Curriculum
Students gain expertise in emerging domains such as Artificial Intelligence,
Embedded Systems, IoT, Cloud Computing, and Automation Technologies.
Hands-on Project-Based Learning
The curriculum emphasizes practical implementation through laboratories,
mini-projects, internships, hackathons, and industry projects.
Excellent Career Opportunities
Graduates can pursue careers in software industries, semiconductor
companies, AI-driven organizations, embedded systems industries, and
research sectors.
Innovation and Research Exposure
Students are encouraged to participate in research activities, innovation
projects, startup initiatives, and technical competitions.
Multidisciplinary Learning Flexibility
The programme offers interdisciplinary learning pathways through electives,
Honours, and Minor specializations aligned with NEP 2020.
Choose Your Track
Areas of Specialization
This track focuses on intelligent embedded hardware, real-time systems, smart electronics, and automation technologies.
This track provides expertise in intelligent computing, AI-driven applications, data analytics, and smart software systems.
This track focuses on networking, cloud infrastructure, cybersecurity, and modern communication technologies.
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Semester 1 — BASIC ELECTRICAL ENGINEERING
Semester 2 — BASIC ELECTRONICS
Semester 3 — DATA STRUCTURES
Semester 4 — MICROCONTROLLER
Semester 5 — FUNDAMENTALS
Semester 6 — COMPUTER VISION
Semester 7 — AUTOMOTIVE ELECTRONICS
Semester 8 — PROJECT WORK PHASE - II
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
Focus Areas: Engineering Mathematics, Basic Electronics, Programming
Fundamentals, Digital Logic Design, Engineering Physics
Skills Developed: Programming basics, Circuit understanding, Logical reasoning,
Analytical thinking, Hardware fundamentals
Focus Areas: Programming Fundamentals, Engineering Mathematics,
Computational Thinking, Electronics Basics, Data Handling
Skills Developed: Coding fundamentals, Analytical reasoning, Problem-solving,
Logic building, Data interpretation
Focus Areas: Basic Networking, Programming, Digital Electronics, Mathematics,
Communication Fundamentals
Skills Developed: Network basics, Coding skills, Communication understanding,
Technical problem-solving, Logical reasoning
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications are open. Deadline: 2026-11-25 23:45:00.