Program Overview

Accelerated Pre-Masters Programme
With the Accelerated Pre-Masters Programme you will receive excellent academic and English language teaching you need for postgraduate success within just 12 weeks (plus induction and exam week). Start in September, and alongside completing your pathway programme faster, you will also progress to the University of Strathclyde in January.

You can choose from two subject routes, depending on the degree you want to study: Business and Social Sciences or Engineering and Sciences. Once you successfully complete this programme and achieve the required grades, you can start your chosen Masters degree at Strathclyde.

Degree progression
After completing the Accelerated Pre-Masters Programme, and achieving the required progression criteria, you can progress to one of the below postgraduate degrees at the University. (Please see the accordion below for additional information on entry and progression conditions.)

Leading to: Master of Science in Advanced Computer Science with Data Science

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

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.