Data Science and AI MSc

Overview

Data science and artificial intelligence (AI) have revolutionised how we understand and use data.

Data science extracts insights and knowledge from large and complex datasets. It has a wide range of techniques and methodologies.

AI creates intelligent systems that simulate human decision-making. This allows machines to:

• learn from data
• recognise patterns
• make predictions or decisions

We created the Data Science and AI MSc with several high-profile industry leaders. It brings together students and industry practitioners to develop and translate new technologies into industry practice.

You'll learn to analyse data and uncover patterns, trends and correlations. Topics covered also include:

• statistics
• machine learning
• deep learning
• natural language processing
• computer vision

Your future

Careers

The course prepares you for a wide range of careers such as:

• AI Engineer
• Machine Learning Engineer
• AI Specialist
• AI Product Manager
• AI Solutions Architect
• Software Engineer
• Data Scientist

Graduates from this course have undertaken various roles including:

• Senior Software Engineer at Sage
• Data Analyst at Vodafone
• Data Engineer at Virgin Atlantic
• Data Scientist at Stanley Black & Decker, Inc.

Industry links

The Industrial Advisory Board (IAB) provides strategic advice and industry insights to support the development, implementation, and continuous improvement of the programme. The IAB includes representatives from:

• Google
• Meta
• The Alan Turing Institute
• Airbus
• Defence Science and Technology Laboratory (DSTL)
• JP Morgan
• Lloyds Bank
• PwC
• National Innovation Centre for Data (NICD)

These connections provide you with numerous benefits, including internship opportunities, guest lectures, potential employment upon graduation and industry-sponsored projects.

Recent industry-sponsored projects include:

• Sage: Investigating Interpretability Methods for Visually Rich Document Understanding Models
• Oliver Wyman: Analysing the Performance of a Language Agnostic Version of a Classifier Model Leveraging LLMs
• NICD: Efficient Federated Learning: Analyzing Model Compression for Techniques Bandwidth Optimization

Further study

This course provides a route into PhD level study, offering a robust foundation in both theoretical and applied aspects of Data Science. As a graduate, you'll be prepared to pursue advanced research opportunities and contribute to the academic community through doctoral programs.

AI careers support

Our dedicated careers support team offers specialised guidance tailored to AI students. This includes:

• career planning
• workshops on resume-building and interview techniques
• networking events with industry leaders
• job fairs focused on AI analytics
• access to an extensive alumni network for mentorship and job referrals
• support for start-ups

Our Careers Service

Our Careers Service is one of the largest and best in the country, and we have strong links with employers. 

Visit our Careers Service website