Data Science and Computational Intelligence MSc

The MSc in Data Science and Computational Intelligence provides advanced training in machine learning, deep learning, statistics, big-data analytics and intelligent systems. It suits students with computing, mathematics, engineering or quantitative backgrounds who want careers in data science, AI engineering or computational-intelligence research.

Curriculum Structure (Full-time, 1 Year)

Year of Study

Students begin with Machine Learning and Statistical Modelling, developing strong foundations in predictive modelling, classic ML algorithms and statistical analysis used for data-driven decision-making. They progress to Deep Learning and Computer Vision, where they learn neural-network architectures and methods for analysing images, video and other unstructured data. In Big Data Management and Data Visualisation, students explore large-scale data handling, storage technologies and techniques for communicating insights visually. The module Intelligent Information Retrieval introduces algorithms for search, text classification and document clustering, helping students work with large information repositories and text-based data. The year concludes with an Individual Research Project, allowing students to apply machine learning, deep learning and data-science approaches to a substantial real-world or research problem.

Focus areas: “Machine learning, statistical modelling, deep learning, computer vision, big-data management, information retrieval, computational intelligence”

Learning outcomes: “Apply ML and statistical models; design deep-learning and vision solutions; manage and visualise big data; apply information-retrieval techniques; complete an independent computational-intelligence project.”

Professional alignment (accreditation): Delivered at postgraduate (Master’s) level and aligned with industry demand for data science and AI specialists.

Reputation (employability rankings): The university holds strong ratings for teaching quality and graduate employability, and the programme targets high-growth sectors such as AI, data analytics, finance, healthcare and research, supporting strong career outcomes.