A two-year postgraduate research-driven programme developing UX strategists capable of conceptualising, prototyping, testing, and deploying user-centred solutions across digital products, service systems, and immersive platforms.
The Master of Arts in User Experience and User Interface (UI/UX) integrates human-centred design, behavioural research, interactive systems thinking, and emerging technologies.
Ten core competencies bridging empirical research, systems architecture, cognitive ergonomics, and emerging interaction paradigms.
Advanced behavioural analysis, ethnographic inquiry, persona synthesis, customer journey mapping, and evidence-based design strategy.
Information architecture, wireframing, low- to high-fidelity clickable prototyping, micro-interactions, and responsive design systems.
Cognitive psychology principles, mental models, perceptual attention, human error mitigation, and behaviour-driven interface design.
Universal design principles, WCAG compliance standards, assistive technology integration, and inclusive research methodologies.
Service blueprinting, stakeholder mapping, cross-channel touchpoint design, ecosystem analysis, and public service transformation.
Extended reality (XR) design, spatial interfaces, metaverse environments, 3D interaction paradigms, and futuristic platforms.
Component libraries, design tokens, visual governance frameworks, documentation standards, and DesignOps workflows.
Information design principles, complex dashboard design, interactive data storytelling, and temporal motion for UI.
Heuristic evaluations, eye-tracking studies, A/B testing, quantitative analytics interpretation, and iterative validation frameworks.
UX leadership, cross-functional team collaboration, stakeholder management, ethical design governance, and consulting strategy.
Review the academic requirements and qualifying benchmarks required to apply for the M.A. UI/UX Design programme.
A student who has passed a 3-year undergraduate degree (Level 5.5, a total of 120 credits) shall be eligible for admission to the 2-year M.A. programme. Preference will be given to candidates who have secured at least 50% marks (45% marks in case of candidates belonging to reserved categories) in the qualifying examination.
Bridge Course Note: Students who have not studied requisite courses from the discipline related to the respective programme will have to undertake the prescribed bridge course(s).
Progress from visual language and accessibility studios to scalable design systems, immersive technology labs, and capstone graduation projects.
Immersive studio pedagogy, real-world industry problem solving, mixed-method research, and venture launch mentoring.
Every semester includes studio outputs evaluated by external juries to develop professional rigour, critique literacy, and market-ready portfolios.
Build fluency in AI-assisted ideation, rapid prototyping, generative exploration, and responsible tool use without compromising design foundations.
Ground solutions in rigorous user research, universal accessibility standards, and ethical frameworks ensuring experiences are equitable for all populations.
Industry-aligned studio challenges in public service, healthcare, education, retail, and enterprise systems culminating in stakeholder presentations.
Specialised coursework in spatial design, AR/VR interfaces, metaverse applications, and future-facing interaction paradigms beyond traditional screens.
A dedicated internship semester embeds learners directly into product teams, design studios, or research agencies to build professional networks.
Programme Educational Objectives describe the long-term professional competencies cultivated across the degree.
Graduates demonstrate mastery across research, interface design, service systems, and strategic communication.
Graduates are prepared for strategic roles across enterprise technology companies, product consultancies, research agencies, and innovative startups.
Conceptualise, prototype, and implement user-centred digital solutions, balancing visual clarity with functional efficiency and accessibility.
Integrate spatial computing, AR/VR environments, and AI-assisted design tools into adaptive, next-generation experience solutions.
Combine qualitative and quantitative research methodologies to analyse user behaviour and generate evidence-based design recommendations.
Lead scalable component design systems, service blueprints, and enterprise experience roadmaps across multidisciplinary product teams.
Establish independent design consultancies, micro-studios, or innovation ventures delivering user-centred digital transformation.
Explore the M.A. UI/UX Design programme and take the next step toward research-led experience strategy, service design, and emerging interaction leadership.