Industrial Program's

Program Highlights

  • 12 Integrated, DeepTech Programs — Curated by Industry Experts
  • Designed with R&D experts, technologists, and academic advisors
  • Hybrid Learning with Simulation + Hardware + Projects
  • Mapped to National and Global Workforce Shortages
  • Capstone Projects Aligned to Societal or Strategic Priorities
  • Placement and Internship Support from Industry Partners
  • Modular 6-month programs with real capstones, not theory
  • Hands-on experience through partnerships (quantum computers, robots)
  • Learner-centric + Career-oriented = Industry-ready talent

Key Benefits

  • Students: Career clarity, hands-on learning, international readiness
  • Universities: Industry-linked curriculum, new centers of excellence
  • Parents: Future-proof careers and global mobility for students
  • Industry: Hire-ready, skilled, and certified deep-tech talent
  • Government: Nation-building in strategic tech sectors, skilling
    aligned to national missions

1. FULL STACK SYSTEMS FOR INDUSTRIAL APPLICATIONS

Train in building end-to-end web and mobile systems tailored for Industry 4.0, including APIs, DevOps, databases,
microservices, and real-time dashboards.

Module List

  • Web Technologies: HTML, CSS, JavaScript, TypeScript
  • Backend Development: Node.js, Spring Boot, Django
  • Industrial APIs & Data Standards (OPC UA, MQTT)
  • SCADA & MES Integration
  • Databases: SQL, NoSQL, InfluxDB for time-series
  • DevOps, CI/CD & Industrial Deployment
  • Human-Machine Interface (HMI) Design
  • Industrial Cybersecurity & Authentication Protocols

Ideal For

Software enthusiasts with a knack for
building scalable applications, especially in
manufacturing, energy, and smart city
domains.

Key Skills

JavaScript, Node.js, React, Docker,
Kubernetes, REST APIs, WebSockets, MQTT

Capstone Project

Develop a full-stack industrial
digital twin or equipment
monitoring solution.

Career Path

  • Full Stack Developer
  • System Architect
  • CTO of Industrial SaaS

2. INDUSTRIAL IOT & EMBEDDED SYSTEMS

Build deep capabilities in low-level hardware programming, protocol
interfacing, and sensor-network orchestration.

Module List

  • Embedded C / C++ & Micro controller Programming
  • RTOS, FreeRTOS, and Scheduling
  • IoT Protocols: MQTT, CoAP,
  • HTTP, OPC-UA
  • Sensors & Actuators in
  • Industrial Settings
  • PCB Design & Prototyping
  • Industrial Communication
  • Buses (CAN, Modbus,
    RS485)
  • Edge Gateway Configuration
  • Industrial UI/UX & Frontend Foundations
  • Backend APIs & Microservices (Spring Boot +Python + Node.js)

Ideal For

ECE, EEE, Mechatronics students with
interest in sensors, controllers, edge
devices.

Key Skills

C/C++, FreeRTOS, STM32, LoRa, BLE, CAN,
Modbus, RS485, Edge AI

Capstone Project

Create an edge-controlled
predictive maintenance system for
a factory setup.

Career Path

  • Embedded Developer
  • IoT Solutions Architect
  • CTO of IoT Platforms

3. AI & MACHINE LEARNING FOR INDUSTRIAL INTELLIGENCE

Gain expertise in supervised/unsupervised learning, optimisation,
anomaly detection, and time-series forecasting for industrial
applications.

Module List

  • Orange Data mining, Python & Data Science Basics
  • Industrial Data Collection & Cleaning
  • Predictive Maintenance Models
  • Computer Vision in Manufacturing (Defect
    Detection)
  • Time-Series Forecasting for SCADA Data
  • Reinforcement Learning for Control Optimisation
  • Anomaly Detection in Plant Operations
  • ML Model Deployment in Edge & Cloud

Ideal For

CS, Data Science, or Mech/EEE students
interested in applied AI

Key Skills

Python, Orange Data Mining, Scikit-learn,
XGBoost, PyTorch, Pandas, MLOps

Capstone Project

Build an AI model to optimize
energy use or predict faults in an
industrial process.

Career Path

  • ML Engineer
  • Industrial AI Specialist
  • Chief Data Scientist

4. AUTONOMOUS & INTELLIGENT MOBILE ROBOTICS SYSTEMS

Train in robotics programming, navigation stacks, ROS2, and AMR-based
logistics systems.

Module List

  • ROS/ROS2 Architecture & Middleware
  • SLAM & Localisation (LIDAR, Vision-based)
  • Path Planning Algorithms (A*, Dijkstra, RRT)
  • Robot Kinematics & Control
  • Sensor Fusion & Navigation Stack
  • Advanced Robotics Software & Middleware Integration
  • Computer Vision & Perception
  • V-REP, Gazebo & RViz Simulation
  • Integration with AMRs, AGVs & Robotic Arms
  • Edge AI for Robots in Warehouses

Ideal For

ECE/ Mech/ CS students interested in
warehouse, agriculture, or defence robotics.

Key Skills

Python, Orange Data Mining, Scikit-learn,
XGBoost, PyTorch, Pandas, MLOps

Capstone Project

ROS2, SLAM, LIDAR, Sensor Fusion, Path Planning, Control Theory

Career Path

  • Robotics Engineer
  • AMR Fleet Architect
  • Mobility Systems Leader

5. CLOUD & EDGE SYSTEMS FOR SMART INDUSTRIES

Master industrial-grade backend platforms, edge-cloud orchestration, and real-time data pipelines.

Module List

  • Fundamentals of Cloud Computing (AWS, Azure,
    GCP)
  • Edge vs Cloud Architecture 
  • Systems, Node Red & Dashboards
  • Containers (Docker, K3S) & Orchestration
    (Kubernetes)
  • Time-Series DBs & Edge Analytics
  • Data Pipelines for Real-Time Industrial Data
  • Serverless Computing for Industrial Events
  • OTA Updates for Edge Devices
  • Secure Industrial Cloud Communication

Ideal For

Cloud-savvy students passionate about real-time, distributed applications.

Key Skills

Azure/AWS/GCP, CouchDB, InfluxDB,
SCADA, Mosquitto, Kafka, Grafana, IoT
Core, K3s

Capstone Project

Deploy an edge-cloud system for a remote renewable energy monitoring platform.

Career Path

  • Cloud Engineer
  • Edge System Integrator
  • Head of Industrial IT

6. AI-POWERED COMPUTER VISION & SENSING

Develop AI models for vision-based automation using cameras, LiDAR,
and edge inference.

Module List

  • Image Processing Fundamentals
  • Classical & Deep Learning-Based Computer Vision
  • Camera Calibration, Stereo Vision, Depth Estimation
  • Object Detection & Tracking (YOLO, OpenCV, BoofCV)
  • Industrial Applications: OCR,
  • Barcode/QR, Defect Analysis
  • Integration with Robots, Drones & Inspection Systems
  • Thermal & Multi-Spectral Vision
  • Vision-on-Edge: Jetson Nano/Xavier

Ideal For

CS, AI/ML, Mechatronics, ECE backgrounds.

Key Skills

OpenCV, YOLOv8, TensorRT, BoofCV,
EdgeTPU, Depth Sensing

Capstone Project

Deploy a vision system for the crop
analysis, warehouse scanning, or
quality inspection

Career Path

  • Vision Engineer
  • Perception Architect
  • CTO of Vision Systems

7. QUANTUM ENGINEERING & TECHNOLOGIES

Step into the quantum frontier with QKD, superconducting qubits, quantum sensors, and photonics.

Module List

  • Fundamentals of Quantum Mechanics
  • Qubits, Superposition & Entanglement
  • Quantum Gates & Circuits
  • Quantum Programming with
  • Qiskit, PennyLane
  • Quantum Error Correction
  • Quantum Communication & Cryptography
  • Quantum Software Engineering & Toolchains
  • Quantum Machine Learning & AI
  • Quantum Applications in Industry

Ideal For

Physics, ECE, CS, and Math students curious about deep foundational tech.

Key Skills

Qiskit, Quantum Gates, Error Correction, Quantum Optics

Capstone Project

Simulate or prototype a QKD
system or quantum sensor
integration use-case.

Career Path

  • Vision Engineer
  • Perception Architect
  • Quantum Researcher

8. SPACE SYSTEMS ENGINEERING & APPLICATIONS

Comprehensive training in satellite subsystems, mission design, launch
platforms, and space software.

Module List

  • Introduction to Orbital Mechanics & Satellite
    DynamicsSmallSat Design & Systems
  • Integration
  • Space Mission Planning & Payloads
  • GNSS & Satellite Communications
  • Remote Sensing & EO Data Analysis
  • Space Robotics & On-Orbit Servicing
  • Launch Vehicles & Propulsion
  • Space Law, Policy & Commercialisation
  • Design Thinking & Space Systems Engineering
    Process

Ideal For

Aero, ECE, Mech, CS, or Astrophysics
students

Key Skills

Orbital Mechanics, ADCS, GNSS, Star
Trackers, Payload Integration

Capstone Project

Design and simulate a nanosatellite mission with subsystem
coordination.

Career Path

  • Vision Engineer
  • Perception Architect
  • Quantum Researcher

9. ADVANCED DEFENCE & ISR TECHNOLOGIES

Work on swarming drones, defence AI, secure comms, radars, and ISR payload integration.

Module List

  • Defence Systems Engineering
  • UAV/Drone Design & Autonomy
  • Navigation in GPS-denied Environments
  • EO/IR Sensors & Radar Fundamentals
  • Secure Data Links & Encryption
  • Target Recognition using AI
  • Drone Swarm Coordination
  • Situational Awareness Systems
  • Dual-Use Innovation & Startup Readiness
  • Tactical Communications & Secure Systems
  • Simulation & Wargaming Labs

Ideal For

Students with interest in aerospace,
embedded systems, AI/ML.

Key Skills

PX4, MAVLink, RF Systems, EO/IR Sensors,
Tactical Comms

Capstone Project

Develop a coordinated ISR drone
system with AI-based object
tracking.

Career Path

  • Drone Systems Engineer
  • ISR Architect
  • Chief of Defence Lab

10. SEMICONDUCTOR SYSTEMS & CHIP DESIGN

Hands-on learning in VLSI, EDA tools, RTL design, tape-out process, and
chip packaging.

Module List

  • Semiconductor Physics & Fabrication Basics
  • CMOS Design & Process Technologies
  • VLSI Architecture & RTL Design
    (Verilog/VHDL)
  • ASIC vs FPGA Workflows
  • EDA Tools: Cadence, Synopsys
    DFT, STA, and Physical Verification
  • SoC Design & IP Integration
  • Semiconductor Supply Chain & Cleanroom Protocols

Ideal For

ECE and CS students passionate about
chip and circuit design.

Key Skills

Verilog/VHDL, Cadence, RTL, DFT, SoC
Design, ASIC Flow

Capstone Project

Design and simulate a custom IP
block or SoC component.

Career Path

  • ASIC/FPGA Designer
  • SoC Architect
  • Semiconductor CTO

11. AEROSPACE ENGINEERING & ADVANCED AVIONICS

Focuses on aircraft design, flight dynamics, propulsion, avionics, and flight software.

Module List

  • Aircraft Design & Aerodynamics
  • Propulsion Systems (Jet, Turboprop,
    Electric)
  • Flight Mechanics & Control Systems
  • Avionics Systems & Communication Protocols
  • Navigation Systems (GPS, INS, GNSS)
  • Aerospace Materials & Structures
  • Aircraft Certification & Safety
  • Flight Simulation & Digital Twin of Aircraft

Ideal For

Aerospace, Mechanical, Electrical, and
Computer Engineering aspirants

Key Skills

Aerodynamics, Propulsion Systems,
Avionics & Embedded Systems, AI-based Autonomous Flight Systems

Capstone Project

Design and simulate an advanced
UAV including full avionics stack
and autonomous navigation logic.

Career Path

  • Aerospace Systems Engineer
  • Avionics Specialist
  • Chief Aerospace Technologist

12. ADDITIVE ENGINEERING & MANUFACTURING SYSTEMS

Get trained in metal/polymer AM, digital manufacturing pipelines, and lattice optimisation.

Module List

  • Principles of 3D Printing & Materials
  • SLS, SLA, FDM, Binder Jetting Technologies
  • CAD/CAM for 3D Print Design
  • Structural Simulation of Printed Parts
  • Topology Optimisation & DfAM
  • Post-Processing & QA Standards
  • Application in Aerospace, Defence & Healthcare
  • Hybrid Manufacturing & Industry 4.0

Ideal For

Mech, Aero, Product Design, Material Science students

Key Skills

Topology Optimization, DfAM, SLM, FDM,
3D Scanning, Simulation

Capstone Project

Produce and test a lightweight
mechanical component optimized
for AM.

Career Path

  • AM Engineer
  • Design for AM Consultant
  • AM Lab Director

Partner's

Scinova Logo H removebg preview

Scinova International Frontier Research, London, UK

Mc Stem Logo H removebg preview

Mc Stem Eduversity, USA

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