Collegese

Welcome to Collegese! Sign in →

Collegese
  • Colleges
  • Courses
  • Exams
  • Scholarships
  • Blog

Search colleges and courses

Search and navigate to colleges and courses

Start your journey

Ready to find your dream college?

Join thousands of students making smarter education decisions.

Watch How It WorksGet Started

Discover

Browse & filter colleges

Compare

Side-by-side analysis

Explore

Detailed course info

Collegese

India's education marketplace helping students discover the right colleges, compare courses, and build careers they deserve.

© 2026 Collegese. All rights reserved. A product of Nxthub Consulting Pvt. Ltd.

Apply

Scholarships & exams

support@collegese.com
+91 88943 57155
Pune, Maharashtra, India

Duration

4 Years

Electronics

Balwant Singh Mukhiya Bsm College Of Engineering
Duration
4 Years
Electronics UG OFFLINE

Duration

4 Years

Electronics

Balwant Singh Mukhiya Bsm College Of Engineering
Duration
Apply

Fees

₹2,00,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

OverviewAdmissionsCurriculumFeesPlacements
4 Years
Electronics
UG
OFFLINE

Fees

₹2,00,000

Placement

92.0%

Avg Package

₹4,50,000

Highest Package

₹8,00,000

Seats

120

Students

120

ApplyCollege

Seats

120

Students

120

Curriculum

Electronics Curriculum Overview

The Electronics program at Balwant Singh Mukhiya Bsm College Of Engineering is structured to provide a comprehensive understanding of electronic principles and applications across multiple domains. The curriculum spans eight semesters, with each semester carefully designed to build upon previous knowledge while introducing new concepts and practical skills.

SemesterCourse CodeCourse TitleCredit Structure (L-T-P-C)Prerequisites
1EE101Mathematics I3-1-0-4-
1EE102Physics for Electronics3-1-0-4-
1EE103Chemistry for Electronics3-1-0-4-
1EE104Engineering Drawing & Graphics2-0-0-2-
1EE105Basic Electrical Engineering3-1-0-4-
1EE106Programming & Problem Solving2-0-2-3-
2EE201Mathematics II3-1-0-4EE101
2EE202Electromagnetic Field Theory3-1-0-4EE102
2EE203Digital Logic Design3-1-0-4EE105
2EE204Electronic Devices & Circuits3-1-0-4EE105
2EE205Signals & Systems3-1-0-4EE101
2EE206Computer Programming Lab0-0-2-1-
3EE301Mathematics III3-1-0-4EE201
3EE302Analog Electronic Circuits3-1-0-4EE204
3EE303Digital Electronics3-1-0-4EE203
3EE304Microprocessor & Microcontroller3-1-0-4EE203
3EE305Control Systems3-1-0-4EE205
3EE306Analog & Digital Lab0-0-2-1-
4EE401Probability & Statistics3-1-0-4EE201
4EE402Communication Systems3-1-0-4EE205
4EE403VLSI Design3-1-0-4EE303
4EE404Power Electronics3-1-0-4EE302
4EE405Electromagnetic Wave Propagation3-1-0-4EE202
4EE406VLSI & Embedded Systems Lab0-0-2-1-
5EE501Advanced Signal Processing3-1-0-4EE305
5EE502Wireless Communication3-1-0-4EE402
5EE503Pattern Recognition3-1-0-4EE401
5EE504Image Processing3-1-0-4EE401
5EE505Antenna & Microwave Engineering3-1-0-4EE405
5EE506Signal Processing Lab0-0-2-1-
6EE601Machine Learning3-1-0-4EE503
6EE602Neural Networks3-1-0-4EE601
6EE603Renewable Energy Systems3-1-0-4EE404
6EE604Semiconductor Devices3-1-0-4EE302
6EE605Optoelectronics3-1-0-4EE402
6EE606Advanced Communication Lab0-0-2-1-
7EE701Capstone Project I2-0-0-2EE601, EE603
7EE702Internship0-0-0-4-
8EE801Capstone Project II2-0-0-2EE701
8EE802Research Thesis0-0-0-6-

Advanced Departmental Electives

Several advanced departmental elective courses are offered in the later semesters to provide students with deeper insights into specialized areas of electronics. These include:

  • Pattern Recognition: This course explores algorithms and methodologies for pattern recognition, including machine learning techniques, statistical models, and neural networks.
  • Neural Networks: Students learn about the architecture, training methods, and applications of artificial neural networks in various domains such as image processing, natural language processing, and data mining.
  • Renewable Energy Systems: This course focuses on the integration of renewable energy sources into the power grid, including solar panels, wind turbines, and battery storage systems.
  • Semiconductor Devices: A detailed study of semiconductor physics, device structures, and fabrication processes, preparing students for careers in semiconductor manufacturing and design.
  • Optoelectronics: An exploration of optical devices such as lasers, photodiodes, and LEDs, with applications in telecommunications, sensing, and display technologies.

Project-Based Learning Philosophy

The department strongly believes in project-based learning as a means to foster critical thinking, innovation, and practical application of knowledge. Students are encouraged to work on projects from the early stages of their academic journey. The mandatory mini-projects in the second and third years provide foundational experience, while the final-year thesis/capstone project allows students to engage in comprehensive research or development initiatives.

Mini-Projects Structure

Mini-projects are assigned during the second and third semesters. Each project has a specific duration of 3-4 weeks, involving teams of 3-5 students. Projects are selected based on student interests and aligned with faculty expertise. The evaluation includes both technical performance and presentation skills.

Final-Year Thesis/Capstone Project

The final-year capstone project is a significant component of the program. Students work individually or in small teams under the guidance of faculty mentors to address real-world problems. The project involves literature review, methodology development, experimentation, analysis, and documentation. Students present their findings at an annual symposium, providing an opportunity for peer feedback and recognition.