Electronics and Communication Engineering -
AI & ML(BTECH)
Overview
The Department of Electronics and Communication Engineering (ECE) is committed to nurturing future-ready engineers by fostering innovation, research, and entrepreneurship. With a vision to evolve as a hub of technological excellence, the department aligns its goals with sustainable development and societal advancement. It offers a robust academic environment supported by highly qualified faculty from premier institutions like IITs and NITs. The department features state-of-the-art laboratories for core ECE subjects and advanced domains such as AI & ML, Robotics, IoT, 5G communication, and chip design.
Through its outcome-based curriculum, well-defined Program Educational Objectives (PEOs), and Program Specific Outcomes (PSOs), the department transforms students into competent professionals, ethical innovators, and lifelong learners—capable of contributing meaningfully to industry, research, and society at large.
Through its outcome-based curriculum, well-defined Program Educational Objectives (PEOs), and Program Specific Outcomes (PSOs), the department transforms students into competent professionals, ethical innovators, and lifelong learners—capable of contributing meaningfully to industry, research, and society at large.
Our Vision
To evolve as a hub of innovation, research, and entrepreneurship that empowers individuals and contributes to the advancement of society.
Our Mission
‎
To provide inclusive and future-ready education in Electronics and Communication Engineering that empowers students with technological, analytical, and ethical competencies.
‎‎‎ ‎ To cultivate a culture of innovation and entrepreneurship that encourages sustainable solutions through design thinking, industry collaboration, and technology incubation.
‎‎‎ ‎ To advance research and development in intelligent systems, communication technologies, and electronics that address societal and environmental challenges.
‎‎‎ ‎ To nurture socially responsible professionals who uphold ethical values, embrace global citizenship, and contribute to sustainable development. ‎‎
To provide inclusive and future-ready education in Electronics and Communication Engineering that empowers students with technological, analytical, and ethical competencies.‎‎‎ ‎
To cultivate a culture of innovation and entrepreneurship that encourages sustainable solutions through design thinking, industry collaboration, and technology incubation.‎‎‎ ‎
To advance research and development in intelligent systems, communication technologies, and electronics that address societal and environmental challenges.‎‎‎ ‎
To nurture socially responsible professionals who uphold ethical values, embrace global citizenship, and contribute to sustainable development. ‎‎ 
Educational
Objectives
Technical Excellence
To equip graduates with strong foundational and advanced knowledge in electronics, communication systems, embedded design, AI, ML, IoT, and chip design for solving complex engineering problems.
Innovation and Research
To cultivate a spirit of innovation, inquiry, and research by engaging students in hands-on learning, interdisciplinary projects, and emerging technology domains.
Professional and Ethical Development
To develop well-rounded professionals with strong communication, teamwork, leadership, and ethical values who can contribute effectively in diverse and global work environments.
Entrepreneurship and Societal Impact
To empower graduates with an entrepreneurial mindset and a sense of social responsibility to design sustainable solutions and contribute to industry, startups, and societal development.
To equip graduates with strong foundational and advanced knowledge in electronics, communication systems, embedded design, AI, ML, IoT, and chip design for solving complex engineering problems.
Innovation and Research
To cultivate a spirit of innovation, inquiry, and research by engaging students in hands-on learning, interdisciplinary projects, and emerging technology domains.
Professional and Ethical Development
To develop well-rounded professionals with strong communication, teamwork, leadership, and ethical values who can contribute effectively in diverse and global work environments.
Entrepreneurship and Societal Impact
To empower graduates with an entrepreneurial mindset and a sense of social responsibility to design sustainable solutions and contribute to industry, startups, and societal development.
Eligibility Criteria
| For Indian and International Students | ||
|---|---|---|
| 12th (HSc) in Science with a minimum of 45%. They should have appeared in GUJCET and should be registered under ACPC. Equivalent Qualification is required for international students |
Admission Process
Through Admission Committee for Professional Courses (ACPC)
Once you generate the PIN from bank through online or offline process
Once you generate the PIN from bank through online or offline process
Register yourself on
Fill the Application Details
Choice Filling
Mock Rounds
(1, 2, 3..)
(1, 2, 3..)
You’re on the path to DISCOVER yourself
Reporting at College
Actual Admission and Token Fee Payment
Admission Process
Through Admission Committee for Professional Courses (ACPC)
Once you generate the PIN from bank through online or offline process
Once you generate the PIN from bank through online or offline process
Register
yourself on
yourself on
Fill the
Application
Details
Application
Details
Choice
Filling
Filling
Mock
Rounds
(1, 2, 3..)
Rounds
(1, 2, 3..)
Actual
Admission
and Token
Fee Payment
Admission
and Token
Fee Payment
Reporting at
College
College
You’re on the
path to
DISCOVER
yourself
path to
DISCOVER
yourself
Duration and Fees Structure
The Bachelors of Technology in Electronics and Communication Engineering with AI & ML is a 4 year course comprising eight semesters.
| For Indian Student (INR) | ||
|---|---|---|
| Electronics and Communication Engineering - AI & ML | 4 Years | 57500/- (Per Sem) |
| For International Student (USD) | ||
|---|---|---|
| Electronics and Communication Engineering | 4 Years | 1600/- (Annual) |
Curriculum
Electrical Engineering Course Details
Sem 1
Sem 2
Sem 3
Sem 4
Sem 5
Sem 6
Sem 7
Sem 8
Sem 1
| B. Tech. Year I, Sem I | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Subject Category | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | ||||||
| AICTE | MU | Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||
| 01EC0110 | ELECTRONIC DEVICES AND CIRCUITS** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EC0111 | ENGINEERING PHYSICS** | BS | MC | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 |
| 01EC0114 | COMPUTER PROGRAMMING FOR PROBLEM SOLVING** | ES | MC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EC0117 | CALCULUS AND LINEAR ALGEBRA** | BS | MC | 3 | 1 | 0 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EC0119 | DESIGN ENGINEERING** | EL | SEC | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 25 | 25 | 50 |
| 01EC1103 | ELECTRONIC WORKSHOP** | ES | SEC | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 50 | 50 | 100 |
| 01SL0102 | READING AND WRITING FOR TECHNOLOGY** | HSM | AEC | 2 | 0 | 0 | 2 | 0 | 30 | 20 | 25 | 25 | 100 |
| 01IK0001 | SCIENTIFIC AND TECHNOLOGICAL HERITAGE OF INDIA (IKS)** | CC | VAC | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 25 | 25 | 50 |
| 01EN1101 | BASICS OF ENVIRONMENTAL STUDIES** | CC | VAC | 2 | 0 | 0 | 0 | 50 | 30 | 20 | 0 | 0 | 100 |
| AU0001 | NATIONAL CADET CORPS-1 | AC | VAC | 1 | 0 | 2 | 2 | ||||||
| Total | 18 | 1 | 10 | 20 | 250 | 180 | 120 | 200 | 200 | 950 | |||
Sem 2
| B. Tech. Year I, Sem II | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Subject Category | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | ||||||
| AICTE | MU | Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||
| 01EC0112 | ANALOG CIRCUITS** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EC0113 | DIGITAL CIRCUITS** | PC | PC | 4 | 0 | 2 | 5 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EC0115 | PYTHON PROGRAMMING & APPLICATIONS** | PC | MC | 0 | 0 | 4 | 2 | 0 | 30 | 20 | 25 | 25 | 100 |
| 01EC0116 | DATA STRUCTURE AND ALGORITHM** | PC | PC | 2 | 0 | 2 | 3 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01EC0118 | DIFFERENTIAL EQUATIONS AND TRANSFORMS** | BS | MC | 3 | 1 | 0 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ME1105 | ENGINEERING DRAWING AND COMPUTER AIDED DESIGN** | ES | MC | 2 | 0 | 4 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01GS0103 | INDIAN CONSTITUTION** | CC | VAC | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| AU0002 | NATIONAL CADET CORPS-2 | AC | VAC | 1 | 0 | 2 | 2 | ||||||
| Total | 15 | 1 | 14 | 22 | 250 | 180 | 120 | 150 | 150 | 850 | |||
Sem 3
| B. Tech. Year II, Sem III | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Subject Category | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | ||||||
| AICTE | MU | Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||
| 01ECXXXX | CIRCUIT AND NETWORKS** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | CONTROL SYSTEM** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | MICROCONTROLLER PROGRAMMING AND INTERFACING** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | NUMERICAL METHODS AND OPTIMIZATION** | BS | MC | 3 | 1 | 0 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | INTRODUCTION TO LINUX AND SCRIPTING LANGUAGES** | EL | SEC | 0 | 0 | 2 | 1 | 0 | 30 | 20 | 25 | 25 | 100 |
| 01ECXXXX | HDL FOR DIGITAL DESIGN & VERIFICATION** | PC | SEC | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 50 | 50 | 100 |
| AIML-01 | INTRODUCTION TO ARTIFICIAL INTELLIGENCE & MACHINE LEARNING ** | SP | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| AU0003 | NATIONAL CADET CORPS-3 | AC | VAC | 1 | 0 | 2 | 2 | ||||||
| Total | 15 | 1 | 14 | 23 | 250 | 180 | 120 | 200 | 200 | 950 | |||
| YYOEXXXX | OPEN ELECTIVE – 1 | OE | 3 | 0 | 0 | 0 | |||||||
Sem 4
| B. Tech. Year II, Sem IV | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Subject Category | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | ||||||
| AICTE | MU | Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||
| 01ECXXXX | ANALOG COMMUNICATION** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | CMOS VLSI DESIGN** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | SIGNALS AND SYSTEMS** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | EMBEDDED SYSTEMS (ARM + RTOS)** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | HUMAN CENTERED DESIGN** | EL | SEC | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 25 | 25 | 50 |
| 01ECXXXX | PROBLEM BASED LEARNING** | EL | SEC | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 25 | 25 | 50 |
| AIML-02 | INTRODUCTION TO DATA ANALYTICS** | SP | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| AU0004 | NATIONAL CADET CORPS-4 | AC | VAC | 1 | 0 | 2 | 2 | ||||||
| Total | 15 | 0 | 14 | 22 | 250 | 150 | 100 | 175 | 175 | 850 | |||
| YYOEXXXX | OPEN ELECTIVE – 2 | OE | 3 | 0 | 0 | 0 | |||||||
Sem 5
| B. Tech. Year III, Sem V | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Subject Category | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | ||||||
| AICTE | MU | Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||
| 01ECXXXX | DIGITAL SIGNAL PROCESSING** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | DIGITAL COMMUNICATION** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01CRXXXX | ANALYTICAL & LOGICAL REASONING** | HSM | SEC | 2 | 0 | 0 | 2 | 0 | 30 | 20 | 0 | 0 | 50 |
| 01ECXXXX | IPR & ENTREPRENEURSHIP FOR ENGINEERS** | HSM | VAC | 0 | 0 | 2 | 1 | 0 | 30 | 20 | 25 | 25 | 100 |
| 01ECXXXX | PROGRAM ELECTIVE – 1 | PE | PE | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 |
| 01ECXXXX | PROGRAM ELECTIVE – 2 | PE | PE | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | DRONE AND UNMANNED AERIAL VEHICLE | PC | SEC | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 50 | 50 | 100 |
| AIML-03 | ARTIFICIAL NEURAL NETWORK AND DEEP LEARNING | SP | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| AU0005 | NATIONAL CADET CORPS-5 | AC | VAC | 1 | 0 | 2 | 2 | ||||||
| Total | 17 | 0 | 12 | 23 | 250 | 210 | 140 | 175 | 175 | 950 | |||
| PROGRAM ELECTIVE – 1 1. ADVANCE DIGITAL DESIGN 2. DIGITAL TV ENGINEERING 3. OBJECT ORIENTED PROGRAMMING 4. INTRODUCTION TO IoT | PROGRAM ELECTIVE – 2 1. VLSI PHYSICAL DESIGN 2. SATELLITE & SPACE COMMUNICATION 3. EMBEDDED LINUX AND DEVICE DRIVERS 4. INTRODUCTION TO ROBOTICS | ||||||||||||
Sem 6
| B. Tech. Year III, Sem VI | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Subject Category | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | ||||||
| AICTE | MU | Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||
| 01ECXXXX | ANTENNA DESIGN** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | OPTICAL FIBER COMMUNICATION** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | PROGRAM ELECTIVE – 3 | PE | PE | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | PROGRAM ELECTIVE – 4 | PE | PE | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 |
| 01ECXXXX | MINOR PROJECT** | EL | SEC | 0 | 0 | 4 | 2 | 0 | 30 | 20 | 25 | 25 | 100 |
| AIML-04 | SPECIAL TOPICS IN ARTIFICIAL INTELLEGIENCE** | SP | PC | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 |
| AU0006 | NATIONAL CADET CORPS-6 | AC | VAC | 1 | 0 | 2 | 2 | ||||||
| Total | 15 | 0 | 10 | 20 | 250 | 180 | 120 | 100 | 100 | 750 | |||
| PROGRAM ELECTIVE – 3 1. LOW POWER VLSI DESIGN 2. INFORMATION THEORY AND CODING 3. SPECIAL IOT APPLICATIONS 4. SYSTEM ON CHIP (SoC) 5. IMAGE PROCESSING AND PATTERN RECOGNITION | PROGRAM ELECTIVE – 4 1. VLSI TESTING & VERIFICATION 2. ADVANCED WIRELESS COMMUNICATION SYSTEMS (SDR & CR) 3. HW/SW CODESIGN 4. DATABASE MANAGEMENT SYSTEM | ||||||||||||
Sem 7
| B. Tech. Year IV, Sem VII | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Subject Category | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | ||||||
| AICTE | MU | Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||
| 01ECXXXX | DATA COMM. AND NETWORKING** | PC | PC | 3 | 0 | 2 | 4 | 50 | 30 | 20 | 25 | 25 | 150 |
| 01ECXXXX | MAJOR PROJECT** | EL | SEC | 0 | 0 | 10 | 5 | 0 | 30 | 20 | 25 | 25 | 100 |
| 01CRXXXX | PROFESSIONAL ETHICS** | HSM | VAC | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 |
| 01ECXXXX | PROGRAM ELECTIVE – 5 | PE | PE | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 |
| 01ECXXXX | AI & ML MAKER LAB** | SP | SEC | 0 | 0 | 4 | 2 | 0 | 0 | 0 | 50 | 50 | 100 |
| AIML-05 | APPLICATIONS OF AI** | SP | PC | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 |
| Total | 12 | 0 | 16 | 20 | 200 | 150 | 100 | 100 | 100 | 650 | |||
| PROGRAM ELECTIVE – 5 1. VLSI SIGNAL PROCESSING 2. ELECTROMAGNETIC INTERFERENCE AND COMPATIBILITY 3. EMBEDDED COMMUNICATION PROTOCOLS 4. ROBOTICS AND ITS APPLICATIONS | |||||||||||||
Sem 8
| B. Tech. Year IV, Sem VIII | Evaluation Scheme | ||||||||||||
| Subject Code | Subject Name | Subject Category | Teaching Scheme (Hours) | Credits | Theory Marks | Practical Marks | Total Marks | ||||||
| AICTE | MU | Theory | Tutorial | Practical | ESE(E) | IA | CSE | Viva (V) | Term work (TW) | ||||
| 01ECXXXX | INTERNSHIP/ PROJECT** | EL | SEC | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 100 | 100 | 200 |
| 01ECXXXX | PROGRAM ELECTIVE – 6 | PE | PE | 3 | 0 | 0 | 3 | 50 | 30 | 20 | 0 | 0 | 100 |
| Total | 3 | 0 | 0 | 18 | 50 | 30 | 20 | 100 | 100 | 300 | |||
| PROGRAM ELECTIVE – 6 1. ANALOG IC DESIGN 2. MIMO WIRELESS COMMUNICATION 3. INDUSTRY 4.0 AND IIoT 4. WIRELESS SENSOR NETWORKS AND ITS APPLICATIONS 5. AI IN NATURAL LANGUAGE PROCESSING 6. FUNDAMENTALS OF QUANTUM COMPUTING | |||||||||||||
Core Courses
| Serial No. | Course name |
| 1 | Electrical Machines |
| 2 | Power System |
| 3 | Power Electronics |
| 4 | Renewable Energy |
Elective Courses
| Serial No. | Course name | |||
Program Educational Objectives
PEO 1: Core Engineering Competence
Graduates will establish themselves as successful professionals by applying the fundamentals of Electronics and Communication Engineering along with AI & ML techniques to design intelligent systems and solve complex, real-world problems across domains.
PEO 2: Lifelong Learning and Higher Education
Graduates will pursue higher studies, research, or certifications in cutting-edge areas such as Artificial Intelligence, Machine Learning, Data Science, Embedded Intelligence, or Robotics, and remain adaptive to emerging technologies through lifelong learning.
PEO 3: Professionalism and Ethical Responsibility
Graduates will demonstrate leadership, teamwork, effective communication, and ethical responsibility while contributing to AI-driven, multidisciplinary projects in industry, academia, or entrepreneurial ventures.
PEO 4: Societal and Environmental Contribution
Graduates will apply AI-enabled electronic and communication systems to address societal and environmental challenges, contributing to sustainable and inclusive development.
Program Specific Outcomes
PSO 1: Technical Proficiency
Graduates will demonstrate the ability to design, develop, and evaluate solutions in key domains such as VLSI and chip design, Internet of Things (IoT), 5G and next-generation communication systems, embedded systems, and signal processing using modern AI & ML tools and methodologies.
PSO 2: Innovation and Societal Impact
Graduates will demonstrate the ability to innovate using modern tools and interdisciplinary approaches to develop intelligent systems and solutions, while upholding ethical values and addressing societal and environmental challenges in line with sustainable development goals (SDGs).
Career Opportunities
The ECE with AI & ML program opens up diverse and high-impact career paths by blending core electronics and communication engineering with the transformative power of artificial intelligence and machine learning. Students gain hands-on experience through advanced labs, real-world projects, and industry internships, preparing them to thrive in dynamic tech environments or launch their own start-ups.
Graduates are equipped to work across interdisciplinary domains such as:
AI-Powered Embedded Systems
Machine Learning Engineering
Data Science and Predictive Analytics
VLSI and Hardware Acceleration for AI
IoT with Edge Intelligence
Autonomous Systems and Robotics
Natural Language Processing and Computer Vision
AI in Wireless and 5G/6G Communication Systems
ICT Governance and Smart Infrastructure
DevOps and AI for System Optimization
AI-Powered Embedded Systems Machine Learning Engineering Data Science and Predictive Analytics VLSI and Hardware Acceleration for AI IoT with Edge Intelligence Autonomous Systems and Robotics Natural Language Processing and Computer Vision AI in Wireless and 5G/6G Communication Systems ICT Governance and Smart Infrastructure DevOps and AI for System OptimizationCareer Options
Graduates of Electronics and Communication Engineering with specialization in Artificial Intelligence and Machine Learning are prepared for a wide range of dynamic and high-impact roles across industries. Potential career paths include:
Systems Engineer
Solutions Specialist
Product Engineer
Technical Designer
Software QA Analyst
Programmer Analyst
System Architect
Data Analytics Professional
IoT-Based Solutions Developer
Software Engineer
Embedded Hardware/Software Engineer
Cybersecurity Analyst
AI/ML Engineer
Database Technology Specialist
Wireless and Sensor Networks Engineer
Image and Video Processing Engineer
VLSI Systems Designer
Facilities
Lab for Research Innovation & Training
Electronic Circuits Lab‎
‎ ‎‎‎‎‎‎‎‎VLSI Lab
‎ Project Lab
‎ Communication and IoT Lab
‎ Computer Networks and Security Lab
‎ Programming Lab
‎ ‎‎‎‎‎‎‎‎Computer Architecture and Embedded System Lab
‎ ‎‎‎‎Data Science and AI Lab
Library
There are two main libraries which make up the MU Learning Resource Centre. Specialist collections, use of up-to-date technology, and a team of enthusiastic and dedicated staff all combined to form a library which serves the Users of the Marwadi Education as well as contributes towards the research needs of the Institution, and is one of the best ICT-equipped academic libraries in the region.
Fully equipped with RFID (Radio Frequency Identification Device) Technology
Specially devised and designed Self KIOSK for Self Check in & Check out
E-Resource Lab having 60+ computer systems with latest configuration to assist for online research and resources
Specially devised and designed Mobile Application having features of; Intimation, Alerts, History, Account Status and Books search facilities
Connected with other libraries and resource centers to retrieve information resources worldwide Separate Study rooms and discussion rooms
Additional Transportation facility for special Late Evening & Sunday for Library users
More than 50000 books in the library
Scholarship
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Campus Facilities
Impressive Infrastructure IT Enabled Infrastructure Sports Infrastructure State-of-the-art Classrooms Hostels with Gymnasium Library with 50000+ Books Academic & Cultural Events
Association with Foreign Universities
HOD's Message
Prof. (Dr.) Rajendrakumar Patel
Head, Department of Electronics & Communication Engineering
Head, Department of Electronics & Communication Engineering
Welcome to the Department of Electronics and Communication Engineering at Marwadi University. Since the inception of the university in 2009, our department has been committed to delivering quality education and fostering innovation, research, and entrepreneurship in alignment with our vision to evolve as a hub of technological excellence.
Our dedicated faculty, with academic backgrounds from premier institutes like IITs and NITs, bring rich expertise and passion for teaching and research. We are proud to offer state-of-the-art laboratories equipped with advanced facilities for core and emerging areas including AI & ML, IoT, Robotics, and chip design. The department is also dedicated to educating students about current 5G technologies and preparing them for upcoming 6G advancements in mobile and wireless communications.
Our mission is to empower students with strong technical knowledge, ethical values, and an entrepreneurial mindset to excel in their careers and contribute meaningfully to society. We look forward to supporting your journey toward becoming competent and innovative engineers.
Our dedicated faculty, with academic backgrounds from premier institutes like IITs and NITs, bring rich expertise and passion for teaching and research. We are proud to offer state-of-the-art laboratories equipped with advanced facilities for core and emerging areas including AI & ML, IoT, Robotics, and chip design. The department is also dedicated to educating students about current 5G technologies and preparing them for upcoming 6G advancements in mobile and wireless communications.
Our mission is to empower students with strong technical knowledge, ethical values, and an entrepreneurial mindset to excel in their careers and contribute meaningfully to society. We look forward to supporting your journey toward becoming competent and innovative engineers.
Our Recruiters
Faculties
Awards & Recognition
FAQ
Q. Is there any Loan Facility Available ?
There are various kinds of scholarships and financial aid available at MU. Marwadi University has made special arrangements with State Bank of India, Bank of India, Central Bank of India, HDFC Bank and other private Banks for speedy sanctioning and dispersal of Educational and Student Loan to students taking admission.
https://mcuniversity.in/student-loan/
https://mcuniversity.in/student-loan/
Q. Is there any Scholarship Available ?
A student can avail various scholarships and financial aids at MU. There are International Scholarships, GATE Scholarship, Vidhyalaxmi Yojana, GPAT Scholarship, and alike. You can contact the University and get all the guidance related to Student Loan.
https://mcuniversity.in/student-loan/
https://mcuniversity.in/student-loan/
Q. How is the Placement at Marwadi University ?
Marwadi University provides 100% Placement Assistance and Opportunities. So much so that in the previous academic year, we hosted more than 480 companies for placement. If the students are dedicated enough with regular work and follow-ups, they are sure to receive placement in well-known companies with a worthy package. You can contact the Placement and Corporate Relations Department and go through Placement News to know more about it.
Q. How to Reach MU ?
Marwadi University is located on Rajkot-Morbi Road. You can take a city bus to Madhapar Chowk and from there, a Rickshaw Ride will drop you to Marwadi University which is a landmark known by all local drivers. It is 10 km from Bus Station, 12 km from Airport, and 10 km from Railway Station. You can easily find it on Google Maps if you want to self-drive to the University.
Q. Is there a Hostel Facility available at Marwadi University ?
Yes, Marwadi University has 6 hostels with a capacity of more than 3500 students. Many National and International students stay here and feel at home. There are ample facilities available at MU hostel. You can inquire about the hostel when you take admission and get accommodated in your new home.
Q. What is the Fee Structure of Degree Programmes at Marwadi University ?
Fee Structure at Marwadi University is different across various courses at UG and PG level. You can contact the Admission Department for knowing the Fees Structure of various courses offered at MU.
Q. How to Apply for Admission at Marwadi University? What form to fill ?
You can apply online by filling the Application form to start your admission process. If you do not want to fill the application online, you can visit the University for walk-in admissions anytime.
Q. Is Marwadi University recognised by the Government ?
Marwadi University is UGC (University Grants Commission) approved/listed. You can find the name of Marwadi University under the list of UGC approved Universities. MU is also the only institute that is given the NAAC A+ grade in Gujarat.
Q. What all Documents are necessary to bring in while joining the University ?
While you come for admissions, you need to carry your HSC and SSC results, school leaving certificate, JEE score card & registration slip (ACPC). We advise you to keep originals along with photocopies of the same. If you are taking admissions for a Master’s degree, you need to also keep the Bachelor’s Degree Certificate and Marksheet, and any other examination’s scorecard if applicable along with the previously mentioned documents. (GATE score, CMAT, CAT score, GPAT score)
Q. Is there any Medical Facility provided ?
Yes, first-aid medical kits and assistance are available on campus. There is also an ambulance available 24/7 to take students off campus for any kind of emergency.
International Airport 
Railway Station 
GSRTC Bus Port 
