Artificial Intelligence and Data Analytics (Online) MSc

Gain practical, industry-relevant AI and data analytics skills

Harness the power of artificial intelligence and data to solve tomorrow’s challenges with Goldsmith’s, University of London’s online MSc/PGDip/PGCert in Artificial Intelligence and Data Analytics. Through project-based learning, authentic datasets, and hands-on experience with machine learning and data analytics, you’ll develop the technical expertise and critical perspective to transform complex data into meaningful, real-world insights. Graduate with a professional portfolio showcasing your expertise and confidence in applying AI responsibly across industries.

Gain the practical AI skills employers are looking for

Artificial intelligence and data are transforming every industry. The MSc equips you with the practical skills to collect, analyse, interpret, and apply data to solve real business challenges using AI and machine learning. Across a 180-credit curriculum, you’ll master the full AI and data lifecycle—from data preparation and programming to machine learning, visualisation, and responsible AI—while working with authentic datasets and project-based assessments that mirror professional practice.

Designed for ambitious professionals and career changers alike, the programme helps you build a portfolio of practical work that demonstrates your expertise to employers. Graduates are prepared for careers in AI, data analytics, machine learning, and related fields. While the programme is not a professional licensure or certification pathway, it provides a strong academic foundation for further study and a wide range of industry roles.

Build job-ready AI and data analytics expertise\
Across nine eight-week modules, develop practical skills in AI, machine learning, Python, big data analytics, and data visualisation through hands-on, project-based learning.

Turn complex data into confident business decisions\
Learn to collect, analyse, interpret, and communicate data that helps organisations solve problems, identify opportunities, and make evidence-based decisions.

Develop AI solutions responsibly\
Build a strong understanding of data governance, privacy, ethical AI, and responsible innovation, including GDPR considerations, so you can apply AI with confidence and integrity.

Study around your life\
Balance your studies with work and personal commitments by studying part-time for 15–20 hours per week, giving you the flexibility to progress your career without putting it on hold.