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B. Tech. in Cyber-Physical Systems

Overview

Modern industrial and societal systems are increasingly defined by the tight integration of computation, physical processes, and human interaction. This program is designed for engineers who will build and govern these interconnected systems where software decisions directly influence physical outcomes in real time.

Cyber-Physical Systems operate at the intersection of embedded computing, real-time control, sensing, communication networks, and intelligent decision-making. In such environments, system failures are no longer purely digital—they manifest physically across manufacturing lines, transportation systems, energy grids, healthcare devices, and autonomous infrastructure.

This program prepares engineers to design systems that are continuously aware, adaptive, and resilient. Students learn how to model physical processes digitally, simulate real-world environments through digital twins, and deploy intelligent control systems that operate under strict timing, safety, and reliability constraints.

The learning pathway progresses from foundational engineering and computation into embedded systems, real-time operating systems, industrial IoT, and finally into large-scale cyber-physical ecosystems that include collaborative robotics, smart infrastructure, and human-integrated systems such as wearable and biomedical networks.

By the end of the program, graduates are capable of designing and managing Industry 5.0 systems that unify computation, hardware, and human-centric intelligence in real operational environments.

Duration

4 years (8 semesters), including elective projects, internships, and research components

Commence of the course


Course Duration

4 Years


Mode of Study

Eligibility


Passed 10+2 or equivalent from a recognized Board / Council with a minimum of 50% marks (45% for SC/ST) in Physics & Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational Subjects.

Valid score in JEE (Main / Advanced), AUQET (Alliance University QUASAR Entrance Test) or Karnataka State-Level entrance examinations.


Key Features

Integrated design of computation, physical systems, and human interaction layers

Hands-on development of real-time embedded and industrial control systems

Digital twin modeling and simulation of complex industrial environments

Exposure to Industrial IoT systems including sensors, PLCs, SCADA, and edge networks

Training in CPS security, resilience, and fault-tolerant system design

Collaborative robotics and adaptive production system engineering

Introduction to Internet of Bodies (IoB) and wearable biomedical systems

Deployment of full-stack intelligent systems in real-world industrial environments

Curriculum Architecture

Semester Stage Key Competencies
Semester 1-2 Foundation Mathematics, physics, programming, data structures, cognitive science, systems thinking
Semester 3-4 Systems Core CPS architecture and design, RTOS, signals and systems, embedded systems, AI for engineering
Semester 5-6 CPS Specialisation Sensors and actuators, control systems, firmware engineering, IIoT, CPS comms protocols, DSP, CPS security, ML
Semester 7-8 Integration and Capstone Systems integration, digital twins, smart infrastructure / Industry 4.0 creation, end-to-end AI pipeline, computer vision, Grand Capstone

Program Structure

Career Pathways and Graduate Outcomes

Industry Roles
  • Cyber-Physical Systems Engineer
  • IIoT Solutions Architect
  • Digital Twin and Simulation Engineer
  • Internet of Bodies Systems Engineer CPS
  • Security and Resilience Engineer
  • Integration and Deployment Specialist
Sectors and Applications
  • Smart manufacturing and Industry 4.0 environments
  • Smart city and urban infrastructure projects
  • Biomedical devices and clinical technology
  • Autonomous logistics and transportation Energy systems and smart grid infrastructure

Contact for Admissions

ALLIANCE UNIVERSITY - QUANTUM AI SCHOOL FOR ADVANCED RESEARCH

SR. No. 2/1C, Near Infosys Drive Gate No.6, Electronic City Phase 1, Bangalore 560 100