Why this course?

Our MSc Advanced Computer Science with Data Science gives you the skill set needed in a range of industries. You'll gain an understanding of the new challenges posed by the data revolution, particularly in relation to its modelling, storage and access.

Data scientists are in high demand across a number of sectors, as businesses require people with the right combination of technical, analytical and communication skills. (Prospects, 2022).

Opportunities for graduates exist in a range of industries such as:

•     finance
•     films and games
•     pharmaceuticals
•     healthcare
•     consumer products
•     public services

Our Advanced Computer Science with Data Science Masters gives you the skill set needed.

You’ll also have the opportunity to participate in recruitment events and meet industry employers such as JP Morgan, Adimo, JWF and more.

What you’ll study

On our Advanced Computer Science with Data Science Masters you'll choose leading classes that span the breadth of both computer and information sciences, including:

•     machine learning
•     deep learning
•     data wrangling
•     legal and ethical aspects of data science
•     software engineering
•     use of contemporary tools and packages

You'll understand key algorithms and techniques embodied within data analytics solutions and be exposed to a number of different data technologies and techniques. You’ll see how they can achieve efficiency and scalability, while also addressing design trade-offs and their impacts.

You'll also learn key technologies that are at the heart of data analytics such as Keras and Tensorflow. You'll also be equipped with a sound understanding of the principles of machine learning and deep learning and a range of popular approaches, along with the knowledge of how and when to apply these.

On this Masters course, you’ll also have the opportunity to implement and experiment with these machine learning algorithms using the most popular languages such as R and Python, explore their applications to areas as diverse as analysing activity-related data captured using a smartphone to financial time-series prediction.

Throughout the course, we offer opportunities to engage with industry through IT careers fairs, guest lectures from local industry, industrially sponsored projects, specialist sessions from our University Careers Service and student demo days to industry.
Research project

Our project supervision programme ensures a named academic is attached to every MSc student during their project study between May and August each year. Regular meetings are scheduled during the period of the project work, and where an external organisation is involved, meetings between supervisor, student and external body are standard. We have extensive experience of supporting students in placement and thus are well equipped and experienced to manage both university and placement provider expectations.