Bangalore Kengeri Campus

Bachelor of Technology (BTech) in Electronics and Computer Engineering (with Spl. in
Artificial Intelligence & Machine Learning)

Open from: 08-Dec-2025 | Open until: 07-Jun-2026

Embedded Systems and Intelligent Computing Artificial Intelligence and Machine Learning Computer Networks, Cloud and Cyber Security IoT and Smart Automation Technologies
8
Semester
4
Specialisations
4 Yrs
Duration
Top 50
B-School India
Applications OpenUntil 07-Jun-2026
21
Placements
2
Industry MOU’s
4
4
8
8
Programme Overview

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 at Bangalore Kengeri Campus

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.

Areas of Specialisation

Choose Your Track

Areas of Specialization

Embedded Systems & Smart Devices

This track focuses on intelligent embedded hardware, real-time systems, smart electronics, and automation technologies.

Artificial Intelligence & Data Systems

This track provides expertise in intelligent computing, AI-driven applications, data analytics, and smart software systems.

Computer Networks, Cloud & Cyber Security

This track focuses on networking, cloud infrastructure, cybersecurity, and modern communication technologies.

Learning Outcomes

What You Will Learn

Domain specific and elective courses that covers VLSI, Embedded systems, Signal processing, Cyber and Network Security, IoT, Artificial Intelligence and Machine Learning.
Open and Global elective courses to introduce other engineering specialization and Liberal Arts
Projects and internship to accomplish solutions for real world complex problem and understand the operations of Industries.
Basic science and engineering science courses to provide foundation for applied and interdisciplinary learning.
Ability enhancement courses and Holistic education to provide overall development of the students.
Academic Curriculum

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
COREBSC MATHEMATICS - I3 Credits
COREBSC PHYSICS4 Credits
COREESC BASIC ELECTRICAL ENGINEERING4 Credits
COREESC COMPUTER PROGRAMMING3 Credits
COREESC ENGINEERING GRAPHICS3 Credits
COREESC BASICS OF CIVIL ENGINEERING AND ENGINEERING MECHANICS4 Credits
COREHSMC HOLISTIC EDUCATION-I1 Credits
COREOEC ABILITY ENHANCEMENT COURSE - I1 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 2 — BASIC ELECTRONICS
COREBSC MATHEMATICS – II3 Credits
COREBSC CHEMISTRY4 Credits
COREESC BASIC ELECTRONICS4 Credits
COREESC PYTHON PROGRAMMING3 Credits
COREESC BASIC MECHANICAL ENGINEERING3 Credits
COREHSMC ENGLISH LANGUAGE AND COMMUNICATION SKILLS FOR ENGINEERS2 Credits
COREESC WORKSHOP PRACTICE LAB1 Credits
COREHSMC HOLISTIC EDUCATION - II1 Credits
COREOEC ABILITY ENHANCEMENT COURSE - II1 Credits
Semester 3 — DATA STRUCTURES
COREBSC MATHEMATICS FOR INTELLIGENT SYSTEMS3 Credits
COREPCC DATA STRUCTURES AND ALGORITHMS4 Credits
COREPCC SIGNALS AND SYSTEMS4 Credits
COREPCC DIGITAL SYSTEM DESIGN4 Credits
COREPCC OPERATING SYSTEMS3 Credits
COREHSMC PROFESSIONAL ETHICS2 Credits
COREHSMC HOLISTIC EDUCATION DEVELOPMENT - III1 Credits
COREOEC ABILITY ENHANCEMENT COURSE - IV1 Credits
COREMC ENVIRONMENTAL SCIENCE0 Credits
COREADDON COMPREHENSIVE LEARNING THROUGH NCC-12 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 4 — MICROCONTROLLER
COREPCC MICROCONTROLLER BASED SYSTEM DESIGN4 Credits
COREPCC DATABASE MANAGEMENT SYSTEMS4 Credits
COREPCC ELECTRONIC DEVICES AND CIRCUIT ANALYSIS3 Credits
COREPCC OBJECT ORIENTED PROGRAMMING WITH JAVA4 Credits
COREBSC BIOLOGY FOR ENGINEERS3 Credits
COREHSMC HOLISTIC EDUCATION DEVELOPMENT - IV1 Credits
COREOEC ABILITY ENHANCEMENT COURSE - IV1 Credits
COREMC CYBER SECURITY0 Credits
COREADDON COMPREHENSIVE LEARNING THROUGH NCC-22 Credits
Semester 5 — FUNDAMENTALS
COREPCC FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE3 Credits
COREPCC DISCRETE TIME SIGNAL PROCESSING4 Credits
COREPCC DATA COMMUNICATIONS AND COMPUTER NETWORKS4 Credits
COREPCC COMPILER DESIGN4 Credits
COREPCC EMBEDDED COMPUTING AND IOT4 Credits
COREOEC ABILITY ENHANCEMENT COURSE-V1 Credits
COREMC INDIAN CONSTITUTION0 Credits
COREC-OE Embedded Boards for IoT Applications3 Credits
COREC-OE Fundamentals of Image processing3 Credits
COREC-OE Observing earth from space3 Credits
COREADDON COMPREHENSIVE LEARNING THROUGH NCC-32 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 6 — COMPUTER VISION
COREPCC FUNDAMENTALS OF MACHINE LEARNING3 Credits
COREPCC ARTIFICIAL INTELLIGENCE WITH PYTHON4 Credits
COREPCC ARTIFICIAL INTELLIGENCE IN CYBER SECURITY4 Credits
COREPCC COMPUTER VISION4 Credits
COREOEC Global Elective2 Credits
COREHSMC SERVICE LEARNING2 Credits
COREOEC ABILITY ENHANCEMENT COURSE-VI1 Credits
CORENC-OE Automotive Electronics3 Credits
Semester 7 — AUTOMOTIVE ELECTRONICS
COREPEC AUTOMOTIVE ELECTRONICS3 Credits
COREPEC INDUSTRIAL ELECTRONICS3 Credits
COREPEC CONSUMER ELECTRONICS3 Credits
COREPEC ELECTRONIC MEASUREMENTS AND INSTRUMENTATION3 Credits
CORE PEC WEARABLE DEVICES3 Credits
CORE PEC OPTOELECTRONIC DEVICES3 Credits
CORE PEC INDUSTRIAL INTERNET OF THINGS3 Credits
COREPEC INDUSTRIAL ROBOTS AND COBOTS3 Credits
COREPEC WIRELESS SENSOR NETWORKS3 Credits
COREPEC SOFTWARE DEFINED NETWORKS3 Credits
COREPEC VLSI DESIGN3 Credits
COREPEC SPACE TRANSPORTATION3 Credits
COREPEC PERVASIVE COMPUTING3 Credits
COREPEC CLOUD COMPUTING AND GRID COMPUTING3 Credits
COREPEC PARALLEL AND DISTRIBUTED COMPUTING3 Credits
COREPEC HIGH PERFORMANCE COMPUTING3 Credits
COREPEC COMPUTATIONAL INTELLIGENCE3 Credits
COREPEC FORMAL LANGUAGES AND AUTOMATA THEORY3 Credits
COREPEC BIG DATA ANALYTICS3 Credits
COREPEC EMBEDDED LINUX SYSTEM3 Credits
COREPEC CRYPTOGRAPHY AND NETWORK SECURITY3 Credits
COREPEC BLOCKCHAIN TECHNOLOGIES3 Credits
COREPEC SYSTEMS ENGINEERING3 Credits
COREPEC ARTIFICIAL NEURAL NETWORKS3 Credits
COREPEC ARTIFICIAL INTELLIGENCE AND KNOWLEDGE REPRESENTATION3 Credits
COREPEC ETHICS OF ARTIFICIAL INTELLIGENCE3 Credits
COREPEC CONVERSATIONAL AI3 Credits
COREPEC ARTIFICIAL INTELLIGENCE IN IOT3 Credits
COREPEC BUILDING AI SYSTEMS3 Credits
COREPEC DESIGN THINKING3 Credits
COREPEC REINFORCEMENT LEARNING3 Credits
COREPEC DEEP REINFORCEMENT LEARNING3 Credits
COREPEC MACHINE LEARNING ALGORITHMS3 Credits
COREPEC COGNITIVE SYSTEMS3 Credits
COREPEC NATURAL LANGUAGE PROCESSING3 Credits
COREPEC OBSERVING EARTH FROM SPACE FOR UNSDG3 Credits
COREPEC FUNDAMENTALS OF DEEP LEARNING3 Credits
COREPEC DIGITAL TWINS3 Credits
COREHSMC INNOVATION AND ENTREPRENEURSHIP3 Credits
COREProject INTERNSHIP2 Credits
COREProject PROJECT WORK PHASE - I4 Credits
COREIKS Indian Knowledge System1 Credits
CORECore  |  ELECElective  |  SPEC Specialisation  |  AEC Ability Enhancement Course  |  SEC Skill Enhancement Course  |  DSE Discipline Specific Elective  |  VAC Value Added Course  |  MDCMultidisciplinary Course
Semester 8 — PROJECT WORK PHASE - II
COREProject PROJECT WORK PHASE - II8 Credits
Admissions

Eligibility & Fee Structure

Eligibility Criteria
Fee Structure (Indicative)
After Graduation

Career Paths

Embedded Systems Engineer
Software Developer
AI and Machine Learning Engineer
IoT Engineer
Data Analyst / Data Engineer
Cloud Engineer
Network Engineer
Cybersecurity Engineer
FPGA and Hardware Engineer
Robotics and Automation Engineer
Research and Development Engineer
Higher Studies and Entrepreneurship
Personalised Path

Your Career Roadmap

Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.

S1-S2
Embedded Systems & Smart Devices

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

Foundation Building
Embedded Systems & Smart Devices Track — Career Outcomes
Embedded Systems Engineer Firmware Developer IoT Engineer Automation Engineer Smart Device Developer
Average Starting Package: ₹ 4.5 LPA - 8 LPA
S1-S2
Artificial Intelligence & Data Systems

Focus Areas: Programming Fundamentals, Engineering Mathematics,
Computational Thinking, Electronics Basics, Data Handling
Skills Developed: Coding fundamentals, Analytical reasoning, Problem-solving,
Logic building, Data interpretation

Artificial Intelligence & Data Systems
Artificial Intelligence & Data Systems Track — Career Outcomes
AI Engineer Machine Learning Engineer Data Engineer Intelligent Systems Developer AI Application Developer
Average Starting Package: ₹ 5 LPA - 10 LPA
S1-S2
Computer Networks, Cloud & Cyber Security

Focus Areas: Basic Networking, Programming, Digital Electronics, Mathematics,
Communication Fundamentals

Skills Developed: Network basics, Coding skills, Communication understanding,
Technical problem-solving, Logical reasoning

Computer Networks, Cloud & Cyber Security
Computer Networks, Cloud & Cyber Security Track — Career Outcomes
Cloud Engineer Cyber Security Analyst Network Engineer Systems Engineer Infrastructure Engineer
Average Starting Package: ₹ 4.5 LPA - 9 LPA
From the Department

Message from the HOD

HOD Name
Inbanila K
Electronics and Communication Engineering)
Bangalore Kengeri Campus

Greetings from the department of Electronics and Communication Engineering. The department was established in the year 2009 and we are presently offering two UG Programmes, one PG Programme and PhD Programme. The department provides unique opportunities for aspiring students by offering an ambience different from that of conventional methods and together facilitating conversations across multi-discipline research areas. We concentrate on the major research domains under ECE, establish state of art facility that creates new opportunities for research collaboration within and across the institutes. It has provided avenues for new research areas for the UG,PG and Ph.D students seeking admission into the depart

Read more...

Electronics and Communication Engineering, Bangalore Kengeri Campus
How to Join

Admission Process

1
Register
  • Register with your Email ID
  • Login to the Admission Portal
2
Apply Online
  • Fill the Application Form
  • Pay Application Fee
3
Entrance Test
  • Entrance Test (If Applicable)
  • Assessment
  • Interview
4
Result
  • Check login page for result
  • If selected, Offer Letter attached
5
Fee Payment
  • Pay Course Fee Online
  • Complete Admission Process
Ready to Apply?

Applications for the 2026 batch are open. Deadline: 07-Jun-2026.

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