Data Science and Artificial Intelligence MSc

Overview

The MSc in Data Science and Artificial Intelligence provides you with the skills and understanding necessary to gather, identify, process, analyse and use data using AI techniques. You will learn fundamental theory and practise concepts that will equip you with the professional skills needed in the workplace.

The explosion and wealth of available data in a wide range of application domains gives rise to new challenges and opportunities in all areas. One challenge is how to use this unprecedented scale of data, and how to gain further insights and knowledge to improve the quality of offered products and services. Artificial Intelligence plays a central role in understanding data and developing intelligent systems that can learn from themselves and assist organisations in strategic decision making.

Learning and assessment

The MSc in Data Science and Artificial Intelligence has a modular course-unit design. This provides you with flexibility and choice if you are considering taking the course part time.

Career prospects

Jobs around data science and AI (data scientist, data analytics, data engineer, data manager) have become increasingly important over the last decade. This is because data science holds the key to tackling the fundamental problem created by the revolution in the development of computers and automated systems in the 20th Century: how to make sense of the unprecedented volumes of data that are generated daily?

Currently, global demand for combined statistical and computing expertise outstrips supply, with evidence-based predictions suggesting a major shortage in this area for at least the next 10 years. For graduates in data science and AI this shortage presents opportunities to enhance career progression in one of the most crucial areas of modern science.

Graduates from the programme will be ideally equipped for a career in a wide variety of industries. Graduates are employed across a whole range of jobs including Data Scientists, Data Analyst, Statisticians and Data Engineers.

To join this course you'll need a 2:2 bachelor's degree in the physical or social sciences where you have developed analytical knowledge and understanding in mathematical sciences. Typically this includes applicants with knowledge and familiarity with basic computing, mathematics and statistics concepts and methods at bachelor's degree level. Applicants with other qualifications, plus work experience from other fields, who have quantitative skills and familiarity with data analysis and modelling ideas will also be considered.