MSc Artificial Intelligence

The MSc Data Science at Buckinghamshire New University trains students in programming, database design, big-data processing, machine learning and data visualisation — enabling them to extract insights from large datasets and drive data-driven decision making. It suits graduates from any quantitative or computing-related background who want to build strong practical and analytical skills for careers in data science, analytics or AI.

Curriculum Structure:

In the first phase of the programme, students study Programming for Data Science and Information Systems and Database Design, where they learn coding, database architecture, data storage and management — essential skills to handle and organise complex data. They also learn Big Data Processing and Data Visualisation, gaining experience in processing large-scale data, cleaning it, analysing it, and presenting results graphically or through dashboards to reveal patterns or trends. Later, students take Machine Learning and Intelligent Agents and Natural Language Processing (optional), where they build predictive models, clustering algorithms, and work with textual data for classification or information extraction — applying machine learning on structured and unstructured data. 

Focus areas: “Data Processing & Management, Big Data Analytics, Machine Learning, NLP & Text Analytics, Data Visualisation, Data-Driven Project Work”

Learning outcomes: “Write code and manage databases; process and visualise large datasets; build and apply ML and NLP models; interpret results; design and deliver a complete data-science project.”

Professional alignment (accreditation): The MSc meets demand for data science professionals across industries such as tech, finance, healthcare, marketing, research and public services — equipping graduates with practical skills that employers require.

Reputation (employability rankings): Buckinghamshire New University’s MSc Data Science is designed around industry-relevant curriculum and project-based training, which supports strong graduate employability and readiness for data-driven roles.