JAIN | UCAM
Global Campus
School of Global Studies

/Programme Overview

The Bachelors (BS) and Masters (MSc) programme in Artificial Intelligence and Robotics is an industry-aligned, globally benchmarked, practically oriented programme offered by School of Global Studies, JAIN (Deemed-to-be University) in partnership with UCAM University, Spain. The programme in AI and Robotics prepares learners to Design, Build, and Deploy Autonomous and Semi‑Autonomous Systems that operate safely in the real world.

/Key Programme Features

Practical-first Pedagogy

Assessment focuses on production-grade artifacts, solution case presentations, and evaluation by industry juries

Design x Dev x Tech

Equal emphasis on mechatronics, embedded systems, and AI, balancing hardware and software development

Industry Aligned

Features live projects, apprenticeships, and venture studio immersions in direct collaboration with industry partners

Research-to-Product

Advanced tracks in Autonomous Vehicles, Drones, Humanoids, and Bio-Robotics provide a clear future-ready pathway

Digital Entrepreneurship

A structured track moving from product studios to MVPs, pilots, and GTM strategies with incubation support

Responsible Innovation

Safety, privacy, and environmental impact are not just taught but are graded outcomes of the programme

/Global Academic Exposure

International Immersion :

Spain | Dubai | Australia | Vietnam

Build an AI Robot

Global Semester / Short-term Exchange
@ UCAM, Murcia, Spain

/9x9 Teaching and Learning Model

Methodology and Innovation.

01

Advanced Pedagogy Framework

Embedded with Advanced Pedagogical Practices to enhance knowledge retention, skill orientation, digital dexterity, entrepreneurial mindset, ability enhancement and development of integrative competencies

02

Design-to-Product Studios

Design-to-Product Studios to develop systems thinking and solutions mindset starting each project with a creative problem, defining KPIs, building the feature / solution plan and culminating in deployable solutions

03

Production-Grade Learning

Production-Grade Learning Practices to help learners align their outcomes to industry needs and approaches through reviews, tests, experiment tracking, end-point inferencing, and continuous monitoring

04

Real-World Case Learning

Real-World Case with Indian and Global problem statements (open and partner -provided) to align all learning to create impactful industry and societal outcomes

05

Dual-Mentor Model

Dual-Mentor Model by engagement of academic and industry mentors for studios, projects, internships and apprenticeships

06

Innovative Assessment Mix

Innovative Assessment Mix to evaluate development of skills and competencies that include 50% continuous assessments, 20% multi-term practical and 30% final demo / jury / viva / product or solution pitch with reproducible artefacts

07

Safety Clinics and Research Hotspots

Safety Clinics and Research Hotspots to enhance research-based learning and learning while doing through red-teaming sessions, hackathons and ideathons, incident post-mortems, and publishable and patentable works approach

08

Global Masterclasses

Global Masterclasses conducted by faculty and industry experts from across the globe, entrepreneur shadowing week, etc

09

Learning Analytics and Competency Transcripts

Learning Analytics and Competency Transcripts to get a better understanding of real outcomes through the learning journey, enabling students to course-correct and do remedials for better learning experience

/Programme Educational Objectives

Industry-Ready AI and Robotics Practice

Graduates will establish successful careers as AI engineers, robotics or automation engineers, embedded AI developers, or related roles by integrated knowledge of AI, robotics, and computing

Full-Stack Intelligent Systems Development

Graduates will design, build, and deploy intelligent robotic and cyber-physical systems by combining algorithmic intelligence, sensing, control, and system integration for real-world applications

Responsible and Human-Centric Engineering

Graduates will develop safe, ethical, inclusive, and sustainable AI-driven robotic solutions, considering societal needs, human factors, privacy, and operational safety

Innovation and Entrepreneurship

Graduates will drive innovation by turning ideas into prototypes, MVPs, and venture outcomes across automation, healthcare, logistics, mobility, agriculture, and smart infrastructure

Lifelong Learning and Professional Growth

Graduates will pursue advanced learning, certifications, research exposure, or postgraduate studies and continuously adapt to fast-evolving AI, robotics platforms, and industry standards

/Learning Outcomes

Computing and Mathematics Foundation
Apply mathematics, computing, and engineering fundamentals required for AI algorithms, robotics modelling, and autonomous system design
Problem Analysis for Intelligent Systems
Identify, analyse, and define requirements for real-world AI and robotics problems using structured reasoning, data, and domain context
Algorithmic and Model Development
Design and implement AI and ML solutions for perception, prediction, classification, and decision-making
Robotics Modelling and Controll
Apply principles of kinematics, dynamics, control systems, and motion planning to design and validate robotic behaviours
Sensing and Perception Systems
Integrate sensors and implement perception pipelines using computer vision, multimodal sensing, and signal processing as applicable
Embedded and Edge AI Implementation
Develop and deploy AI models on embedded/edge platforms with awareness of performance, energy, latency, and system constraints
System Integration
Build integrated robotic systems using appropriate frameworks (e.g., ROS or equivalent), simulation environments, and testing tools
Experimentation, Testing, and Validation
Design experiments, evaluate models and robotic systems using metrics, benchmarking, and iterative improvement strategies
Teamwork and Execution
Work effectively in multidisciplinary teams, applying project planning, documentation standards, and iterative engineering practices
Communication and Technical Documentation
Communicate complex AI and robotics concepts, designs, and results through technical reports, demos, presentations, and professional portfolios
Ethics, Safety, and Responsible AI
Recognise ethical, legal, safety, and societal implications of AI and robotics—including bias, privacy, reliability, and human-robot interaction risks
Innovation and Lifelong Learning
Demonstrate readiness for innovation, entrepreneurship, and continuous learning to keep pace with emerging autonomy, embodied AI, and robotics

/Learning Arenas

/Curriculum Structure

Future-Ready Programmes Across Disciplines:

    • Mathematics for Robotics 1 (Calculus and Linear Algebra)
    • Programming Basics and Python
    • Physics for Robotics (Mechanics)
    • Circuits and Sensors Basics
    • Mathematics for Robotics 2 (Probability and Statistics)
    • Programming for AI and Robotics
    • Robotics Engineering Basics (Electronics and Actuators)
    • Kinematics and Embedded Systems

    • Control Systems
    • Embedded Systems Development
    • Sensors and Perceptions I
    • Robotics Operating System Foundation
    • Safety, Standards and Compliance (FMEA)
    • Sensors and Perceptions II
    • Kinematics and Dynamics
    • Planning and Navigation I
    • Simulation and Digital Twin

    • Machine Learning for Robotics
    • Planning and Navigation II
    • Robotics Operating System Advanced
    • Professional Elective 1 (Autonomous Vehicles and Drones / Humanoids / Soft and Bio‑Robotics)
    • Deep Learning for Perception
    • Learning‑Based Control
    • AI for Robotics
    • Professional Elective 2 (Autonomous Vehicles and Drones / Humanoids / Soft and Bio‑Robotics)

    • Advanced Estimation
    • Optimization and Planning Perception Systems
    • Advanced Robotics (Robot Learning, Multi‑Robot and Distributed Systems)
    • Production Systems
    • Robotics and MLOps
    • Research Methods and Scientific Writing
    • Applied Research or Industry Research Practicum
    • Capstone Project / Graduate Project / Internship

/Academic Backbone

SoGS is academically anchored by JAIN (Deemed-to-be University) and UCAM University, Spain, ensuring strong governance, academic rigor, and institutional credibility.

JAIN (Deemed-to-be University) India's fastest-growing university

  • 35+ years of educational excellence
  • 30,000+ students across multiple campuses
  • Strong emphasis on entrepreneurship, research and sports

UCAM Spain Europe's innovation-driven Catholic university

  • Founded 1996 | Murcia, Spain
  • 16,000+ students from 115+ countries
  • International ranking for excellence in education

/Global Education Blogs and Insights

Need Help Before Applying?

If you need personalised guidance or clarity before applying, our admissions advisors are here to help.

Talk to an Advisor
logo