Accelerated Pre-Masters Programme (1 Term), Leading to Master of Science in Machine Learning and Deep Learning

Study Group - University of Strathclyde International Study Centre

UK,Scotland

 0 Shortlist

15 Months

Duration

CAD 11,500/year

Tuition Fee

CAD 0 FREE

Application Fee

Sep 2025

Apply Date

UK, Scotland

Type: University

Location Type: Urban

Founded: 1964

Total Students: 22,000 +

Int. Students: 3,700 +

Campus Detail

Main Campus Address

40 George St, Glasgow G1 1XP, United Kingdom

Accelerated Pre-Masters Programme (1 Term), Leading to Master of Science in Machine Learning and Deep Learning

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 Machine Learning and Deep Learning

Machine learning and deep neural network systems are currently used by leading organisations worldwide and research centres in a wide range of applications and products. This course is for engineers and scientists looking to gain the necessary skills to be able to design these systems for use in industry.

Our MSc Machine Learning & Deep Learning degree focuses on state-of-the-art technologies for machine learning and deep neural network systems. The emphasis is on architectures, algorithms and implementation with applications in a diverse range of areas.

You'll also have the opportunity to complete the MSc project through our competitive industrially engaged projects. These are offered in collaboration with selected industry partners.

You'll address real-world engineering challenges the partners are facing, with site visits, access, and provision of relevant technical data and/or facilities provided. You'll also have an industry mentor and an academic supervisor.

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English Requirement: IELTS TOEFL PTE 

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