Artificial Intelligence and Machine Learning MSc

Program Overview

Overview

Artificial Intelligence (AI) and Machine Learning (ML) is an exciting, cutting-edge topic with technologies and applications that span almost every aspect of our lives. AI and ML are everywhere, from smartphone apps that recognise your speech, to self-driving cars that revolutionise the safety and efficiency of our transport networks.

AI and ML are built on a foundation of computer science. It combines problem-solving skills, practical skills like programming, and specialist knowledge on tools and techniques for creating smart algorithms and software.

On this course, you will benefit from our 50 years-plus of experience in computer science. You'll learn how to integrate a diverse set of skills from a variety of topics into real-world applications, through our industry-focused curriculum.

You will study topics such as programming, machine learning, classification, clustering, AI in Healthcare and more, with modules that challenge you to combine and apply these topics on practical projects with career-launching outcomes.

The programme includes project and dissertation modules with opportunities to leverage industry-standard software tools to develop cutting-edge solutions to real-world problems, with the support and guidance of academic experts from the artificial intelligence domain.

All of our computer science students are automatically enrolled as student members of the British Computer Society (BCS).

Program Outline

What you will study

All module information is for 2022 entry, and is subject to change

First year

Core

Option

Learning and assessment

This course will use a mixture of examinations and coursework assignments to assess students.

In some modules students have the freedom to choose topics or datasets to work with, allowing them to explore areas relevant to their personal or professional interests.

Official programme specification

Career support

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the

Careers

Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.

Career prospects

This course aims to equip graduates with the skills and knowledge necessary to succeed in a range of careers such as Data Science, Data Analytics, Machine Learning Engineering, AI Engineering, and many more in a wide range of industries.

The increasing capture of data by companies and organisations is driving demand for graduates able to analyse, transform and explore data to meet the needs of businesses.