MA in Cultural Analytics and AI

The MA in Cultural Analytics and AI is strategically designed to achieve two interconnected aims: to cultivate a new cohort of computationally literate, ethically grounded leaders for the creative and cultural sectors, and to advance the frontiers of cultural analytics through practice-led research and critical inquiry. The programme’s overarching goals are threefold:
Interdisciplinary Synthesis: Foster versatile leaders who bridge data science, cultural theory, and artistic practice, transforming computational tools into instruments for creative innovation and cultural inquiry.
Ethical Governance and Sustainable Stewardship: Cultivate a critical, responsible mindset toward emerging technologies, empowering practitioners to address algorithmic bias, intellectual property, data ethics, and the preservation of tangible and intangible heritage.
Applied Praxis and Strategic Impact: Deliver a globally attuned, industry-integrated learning journey that enables each student to produce actionable research, computational prototypes, and evidence-based interventions for cultural institutions, policy bodies, and creative enterprises.
To translate these ambitions into measurable outcomes, the programme is built upon clear objectives. Upon graduation, students will be able to:
Critically analyse computational infrastructures, algorithmic systems, and data power dynamics through the lenses of data ethics, cultural policy, and social justice.
Demonstrate technical and analytical fluency by aggregating, cleaning, mapping, and analysing complex cultural datasets using spatial GIS, network analysis, text mining, and generative AI models.
Tackle live industry briefs and complex societal challenges within transdisciplinary teams through collaborative hackathons, design sprints, and public provocations.
Formulate and execute a substantial, independent final research output—culminating in either a 15,000-word empirical academic thesis or an applied capstone project featuring policy frameworks, prototypes, or mixed-media data storytelling.
Lead with integrity and cultural astuteness, advocating for inclusive, transparent, and sustainable digital strategies across regional and international creative ecosystems.

The curriculum of the MA in Cultural Analytics and AI offers an agile 180-credit structure delivered across three semesters full-time or five semesters part-time, intentionally designed to accommodate working professionals and creative practitioners alike. Rather than relying on traditional classroom models, the course delivery balances concentrated, intensive skills bootcamps with independent development sprints, research seminars, and flexible hybrid supervision. The opening semesters establish a robust foundation in computational and critical methodologies, guiding students through the cultural ethics of data infrastructures, data visualization, spatial mapping, and algorithmic thinking without requiring prior coding experience. As learning advances, students participate in transdisciplinary collaborations tackling pressing global challenges, while mastering creative artificial intelligence, database curation, generative model experimentation, and intellectual property governance within dynamic arts and cultural ecosystems.
In the final semester, students channel their learning into an ambitious independent research milestone that bridges critical theory with practical innovation. Tailoring this capstone to their professional aspirations, learners choose between an extensive, empirical academic thesis investigating an original cultural inquiry or a practice-led applied capstone that delivers strategic policy frameworks, functional computational prototypes, or innovative mixed-media storytelling initiatives. Through this integrated progression, graduates develop the strategic adaptability, ethical leadership, and analytical confidence required to steer cultural institutions, creative enterprises, and digital media organizations in Singapore and internationally.

Secure your place in the MA in Cultural Analytics and AI to begin your studies in the August intake. The programme welcomes university graduates, creative professionals, and career changers; no prior coding or technical background is required. Successful applicants join an elite learning community in Singapore, the premier gateway connecting regional Southeast Asian arts with a forward-looking National AI ecosystem. Upon completion, students graduate with a prestigious postgraduate degree conferred by the University of the Arts Singapore (UAS).
We encourage you to prepare and apply early, as places are limited. For full details on entry requirements, fees, and financial assistance, please visit our website (https://www.lasalle.edu.sg/study/admissions/)