Direct Admission in BMS University through Management Quota
About University
Table of Contents
B.M.S. University (BMSU), Bengaluru, is a private self-financing unitary university established in 2023 under the BMS University Act, 2023, enacted by the Government of Karnataka. Promoted by the BMS Educational Trust, the university represents a significant step in expanding the Trust’s long-standing contribution to higher education in Karnataka. It has been conceived as a forward-looking university that combines academic rigor, innovation, and social relevance within a contemporary learning ecosystem.
Located in Bengaluru, one of India’s most dynamic centres for education, technology, and entrepreneurship, BMSU is positioned to offer students an intellectually vibrant and industry-connected environment. As a unitary university, it is empowered to develop its own academic structures, establish constituent units and research centres, and confer degrees in accordance with the provisions of the Act and the applicable regulatory framework. This legal and institutional foundation gives the university the flexibility to design future-ready programs while maintaining academic quality and governance standards.

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Department of Computer Science and Engineering
The Department of Computer Science and Engineering with specialisation in Data Science was established to address the growing need for graduates with a strong grounding in data-centric technologies. The programme runs under the Undergraduate (UG) scheme and admits 60 students per academic year.
The curriculum is designed around a core of mathematics and programming, progressively building towards data engineering, statistical modelling, and applied machine learning. Students are trained to work with large, complex datasets and develop the analytical competence required to support data-driven decisions in modern organisations.
The department maintains well-equipped computing laboratories where students gain practical exposure to industry-standard tools and platforms. Academic learning is supplemented by seminars, project-based assessments, and opportunities for internships with companies actively working in analytics and software engineering.
|
Programme | |
|
Level |
Undergraduate (UG) |
|
Duration |
4 Years |
|
Intake |
60 Students per year |
|
Annual Tuition Fee |
₹ 4,00,000/- |
Areas of Study
- Statistical Methods and Probability Theory
- Machine Learning and Predictive Modelling
- Big Data Processing and Cloud Infrastructure
- Data Visualisation and Business Intelligence Tools
- Database Management and Data Engineering
- Natural Language Processing and Deep Learning
Research and Collaboration
Faculty and students actively contribute to research in machine learning, data infrastructure, and intelligent systems. The department encourages participation in conferences, peer-reviewed publications, and collaborative projects with industry partners to ensure alignment with current technological developments.
Department of Artificial Intelligence and Robotics
The Department of Artificial Intelligence and Robotics offers a four-year B.Tech programme at the undergraduate level, admitting 60 students per academic year. The programme addresses the convergence of computing intelligence and physical automation, preparing graduates for careers at the intersection of software and mechanical systems.
Students are introduced to the mathematical and programming foundations of artificial intelligence in the initial years, followed by specialisation in robotic systems design, perception, and autonomous behaviour. The curriculum strikes a balance between algorithmic thinking and hands-on hardware experience, which is essential for working in real-world robotic deployments.
The department has well-maintained robotics laboratories where students work with sensors, actuators, microcontrollers, and robotic platforms. Coursework is complemented by project work, inter-college competitions, and engagement with industry partners active in the automation and AI space.
Programme Details
|
Programme | |
|
Level |
Undergraduate (UG) |
|
Duration |
4 Years |
|
Intake |
60 Students per year |
|
Annual Tuition Fee |
₹ 4,00,000/- |
Areas of Study
- Machine Learning Algorithms and Neural Network Architectures
- Robot Kinematics, Dynamics, and Mechanism Design
- Computer Vision and Sensor Fusion
- Autonomous Navigation and Path Planning
- Embedded Systems and Real-Time Control
- Human–Robot Interaction and Collaborative Systems
Research and Practical Work
Research activities within the department span computer vision applications, autonomous mobile robots, and AI-assisted industrial systems. Students are encouraged to pursue internships and live projects, and the department supports participation in national-level robotics and AI competitions. Collaborative ties with automation-focused enterprises provide additional avenues for applied learning.
Need Help with Your BMS University Direct Admission?
Connect with ACE GURU today for expert guidance and personalized assistance to choose the course that best aligns with your career goals.
Call us at: +9742479101
email- Email: web.aceguru@gmail.com
Department of Electronics & Communication Engineering
The Dual Degree programme in B.Tech in Electronics and Communication Engineering and M.Tech in VLSI Designs & Technology offers an integrated five-year course of study leading to both a B.Tech and an M.Tech qualification. With an intake of 60 students per year, the programme is designed for those who wish to pursue a focused, uninterrupted path into semiconductor engineering and chip design.
The undergraduate phase grounds students in core electronics concepts—circuit theory, signals and systems, digital electronics, and communication principles. The postgraduate phase builds upon this foundation with a dedicated focus on Very Large Scale Integration design, covering the full spectrum from front-end logic design to physical layout and verification.
The department is equipped with Electronic Design Automation (EDA) tools and FPGA platforms to support both simulation and hardware implementation. Students work on projects spanning digital IC design, analog circuit synthesis, and system-on-chip integration, preparing them for roles that require both theoretical depth and practical engineering skill.
Programme Details
|
Programme |
Dual Degree – B.Tech (Electronics and Communication Engineering) + M.Tech (VLSI Designs & Technology) |
|
Level |
Undergraduate (UG) + Postgraduate (PG) |
|
Duration |
5 Years (Integrated) |
|
Intake |
60 Students per year |
|
Annual Tuition Fee |
₹ 4,00,000/- |
Areas of Study
- Analog and Digital Circuit Design
- Communication Systems and Signal Processing
- CMOS and Mixed-Signal IC Design
- Physical Design and Layout Verification
- System-on-Chip Architecture and Embedded Integration
- Functional Verification and Testing Methodologies
Research and Industry Engagement
The department collaborates with semiconductor companies and research institutions to provide students with exposure to industry workflows. Faculty are involved in research covering low-power design, hardware security, and advanced fabrication nodes. Students are encouraged to undertake thesis work with direct applicability to current challenges in the global semiconductor industry.
Need Help with Your BMS University Direct Admission?
Connect with ACE GURU today for expert guidance and personalized assistance to choose the course that best aligns with your career goals.
Call us at: +9742479101
email- Email: web.aceguru@gmail.com
Admissions Instructions

BMS University Application Form

List of Documents for Final Admissions

Management Admission Documents

Need Help with Your BMS University Direct Admission?
Connect with ACE GURU today for expert guidance and personalized assistance to choose the course that best aligns with your career goals.
Call us at: +9742479101
email- Email: web.aceguru@gmail.com
Placement

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