B.Tech Electrical and Computer Engineering

Programme Overview

The B.Tech in Electrical and Computer Engineering (ECE) at MIT-WPU is designed for those passionate about technology and eager to revolutionise industries with creativity and innovation. Aligned with the needs of Industry 4.0, this multidisciplinary programme combines academic learning with industry exposure and research, equipping you with skills to excel in a rapidly evolving economic landscape.

The curriculum prepares you for a sustainable career by focusing on cutting-edge technologies like Electric Vehicles, Smart Grids, Automation, AI & Machine Learning, IoT, Cloud Computing, Cybersecurity, and Data Science. It also enables you to address complex technological and business challenges, paving the way for impactful contributions to the future.

With eight semesters spanning 160 credits, this internationally benchmarked programme ensures comprehensive learning. These attributes make MIT-WPU one of the top-ranked B.Tech institutes in Maharashtra, offering a robust curriculum that meets global standards.

Major Tracks
Duration
4 Years

Last Date to Apply : 26 May 2025
Programme Name

B.Tech Electrical and Computer Engineering

Fee Per Year

₹ 3,30,000




Highest CTC
INR 51.36 LPA

Scholarship
Scholarship for AY 2025-26 JEE Percentile MH-CET Percentile
Dr. Vishwanath Karad Scholarship (100%) 94 & Above 95 & Above
MIT-WPU Scholarship I (50%) 92 & Above 93 & Above
MIT-WPU Scholarship II (25%) 91 & Above 92 & Above

Note: Best of JEE or MHT-CET Score will be considered for availing the scholarship.

Scholarship Detailsbharatasmita

*Terms & Conditions apply:
  • All Scholarships are awarded on a First Come First Serve basis. All Scholarships are awarded as fee adjustments.
  • To continue the scholarship for the entire duration of the programme, a minimum level of the academic score has to be maintained at an 8 CGPA across all semesters, attendance is to be maintained at a minimum of 80 percent, with no live backlogs in any subject/programme and no semester break, and there should be no disciplinary action against the student.

For more detailed information visit our website: https://mitwpu.edu.in/scholarships

Eligibility

The candidates should have appeared in JEE 2025 / MHT-CET 2025 / PERA 2025 / MHT-CET-B* 2025 / NEET* 2025. [*Applicable only for B.Tech Bioengineering programme] conducted by the Competent Authority
AND
Minimum 50% aggregate in PCM or PCB* or Physics & Mathematics with any Technical Vocational Subject. Physics, Mathematics/Biology* & English are Compulsory subjects with Chemistry/Biotechnology* or Technical Vocational Courses in 10+2/Class 12th or equivalent examination [*Applicable only for B.Tech Bioengineering programme] (at least 45% marks, in case of Reserved category candidate belonging to Maharashtra State only).
OR
Minimum 60% marks in Diploma in Engineering & Technology in an appropriate branch from Government approved technical board.

Selection Process

The selection process for B.Tech programmes is based on JEE 2025/ MHT-CET 2025/ PERA 2025/ MHT-CET-B* 2025/ NEET* 2025 score and a Statement of Purpose (500 words) written by the candidate. [*Applicable only for B.Tech Bioengineering programme].

Programme Highlights
  • State-of-the-Art Labs : Gain hands-on experience with advanced tools like DELL PowerEdge Servers and the AIoT SerBot Prime X Robot, powered by NVIDIA RTX A6000 GPUs, for AI/ML applications.
  • Cutting-Edge Technologies : Explore emerging fields such as AI, IoMT, and robotics, focusing on microprocessors and robotics design for leadership in modern industrial advancements.
  • Industry Collaboration : Work on internships and projects with global leaders like Bosch, Accenture, and Volkswagen to gain real-world experience.
  • Ethical and Social Learning : Develop ethical decision-making skills and understand social impacts, shaping you into a responsible AI professional.
  • International Exposure : Participate in study tours and research projects with international organisations, broadening your global perspective.
Course Structure
Semester Course Type  Course Name/Course Title Total Credits

I

University Core

Effective Communication

1

I

University Core

Critical Thinking

1

I

University Core

Environment and Sustainability

1

I

University Core

Foundations of Peace

2

I

University Core

Yoga - I

1

I

University Core

SLDP

1

I

Programme Foundation

IKS(2)

2

I

Programme Foundation

Linear Algebra and Differential Calculus

3

I

Programme Foundation

Physics

3

I

Programme Foundation

Engineering Graphics

3

I

Programme Foundation

Ideas and Innovation in Manufacturing

1

I

Programme Foundation

Chemistry

3

 

Total

22

Semester Course Type  Course Name/Course Title Total Credits

II

University Core

Advanced Excel

1

II

University Core

Financial Literacy

1

II

University Core

Yoga - II

1

II

University Core

Co-creation

1

II

University Core

Indian Constitution

1

II

University Core

IKS(General)

2

II

University Core

Sports

1

II

Programme Foundation

Biology for Engineers

2

II

Programme Foundation

Engineering Mechanics

3

II

Foundation of Electrical Engineering

Programme Foundation

3

II

Integral Calculus

Programme Foundation

3

II

Programming and Problem Solving

Programme Major

3

 

Total

22

Semester Course Type  Course Name/Course Title Total Credits

III

University Core

Research Innovation Design Entrepreneurship (RIDE)

1

III

University Core

Spiritual & Cultural Heritage; Indian Experience

2

III

University Electives

UE - I

3

III

University Electives

UE-II

3

III

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Project Based Learning - I

1

III

Programme Major

Computer Organizations and Operating Systems

2

III

Programme Foundation

Differential Equations and and Transform Technique

4

III

Programme Major

Analog and Digital Electronics

4

III

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Project Based Learning-I

 

 

Total

20

Semester Course Type  Course Name/Course Title Total Credits

IV

University Electives

UE-III

3

IV

University Core

Rural Immersion

1

IV

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Project Based Learning - II

1

IV

University Core

Life Transformation Skills

1

IV

Programme Major

Electrical Machines

4

IV

Programme Foundation

Discrete Mathematics and Basic Statistics

4

IV

Programme Major

Control Systems

3

IV

Programme Major

Power Systems and Protection

4

IV

Programme Major

Microcontrollers and Applications

3

IV

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Project Based Learning-II

 

 

Total

24

Semester Course Type  Course Name/Course Title Total Credits

V

University Core

Managing Conflicts Peacefully: Tools

and Techniques

2

V

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Project Based Learning - III

1

V

Programme Electives

Programme Elective - I

4

V

Programme Major

Communication Networks

3

V

Programme Major

Power Electronics

4

V

Programme Major

Database Management Systems

2

V

Programme Major

Data Structures and Algorithms

4

V

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Minor Project - I

1

V

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Project Based Learning-III

 

 

Total

21

Semester Course Type Course Name/Course Title Total Credits

VI

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Project Based Learning - IV

1

VI

University Core

National Academic Immersion

2

VI

Programme Electives

Programme Elective - II

3

VI

Programme Major

Electrical Vehicle Technology

3

VI

Programme Major

Full Stack Development

1

VI

Programme Major

Artificial Intelligence and Machine

Learning

2

VI

Programme Major

Data Science for Engineers

4

VI

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Minor Project - II

4

VI

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Project Based Learning-IV

 

 

Total

20

Semester Course Type  Course Name/Course Title Total Credits

VII

Programme Electives

Programme Elective - III

4

VII

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Capstone Project

12

 

Total

16

Semester Course Type  Course Name/Course Title Total Credits

VIII

Programme Electives

Programme Elective - IV

4

VIII

Programme Capstone Project/Problem Based Learning/Seminar and Internships

Internship

14

 

Total

18

Programme Outcomes
  • Use Artificial Intelligence, Machine Learning, embedded systems, and signal processing to address practical challenges in areas like telecommunications, healthcare, automotive, and data science.
  • Apply engineering principles and AI/ML algorithms to design innovative solutions for electronic and communication systems.
  • Develop systems and applications with a focus on AI to solve key problems in healthcare, transportation, and communication sectors.
  • Conduct research in AI and deep learning, staying updated with advancements in technology and societal needs.
  • Build AI systems rooted in ethical practices, considering social, environmental, and cultural factors for sustainable innovation.
Placements & Recruiters
100% placement assistance
Top Recruiters
FAQ's

Yes, the programme includes mandatory internships, practical labs, and live industry projects to provide hands-on experience and prepare students for real-world challenges.

Graduates can work in industries such as AI, ML, data science, embedded systems, IoT, cybersecurity, and robotics, among others.

MIT-WPU offers 100% placement assistance, internships, and collaborations with leading companies like Bosch, Accenture, and Volkswagen.

Yes, students can pursue higher studies in fields like artificial intelligence, data science, robotics, and related areas at renowned institutions worldwide.

Yes, MIT-WPU offers over 100 student clubs for extracurricular activities, which play a significant role in personal development and leadership.

MIT-WPU excels in industrial partnerships, practical knowledge, and state-of-the-art lab facilities. The programme equips students with skills in electrical systems, computer engineering, and emerging technologies like AI and IoT, paving the way for exciting career prospects.

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