Pre-Masters Programme in Engineering and Sciences (2 Term), Leading to Master of Science in Machine learning and Deep Learning

Study Group - University of Strathclyde International Study Centre

UK,Scotland

 0 Shortlist

18 Months

Duration

CAD 13,250/year

Tuition Fee

CAD 0 FREE

Application Fee

Mar 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

Pre-Masters Programme in Engineering and Sciences (2 Term), Leading to Master of Science in Machine learning and Deep Learning

Program Overview

Pre-Masters Programme in Engineering and Sciences
Pre-Masters Programme in Engineering and Sciences, this two-term pathway will prepare you for your chosen postgraduate degree at the Faculty of Engineering or Faculty of Science.

You’ll study useful skills for your Masters degree, such as research skills and communication, as well as an optional route module related to your progression goals. Our Academic English Skills module ensures your language ability is suited to postgraduate study at a UK university.

Once you have completed the Pre-Masters Programme in Engineering and Sciences, and subject to satisfying the progression criteria, you can proceed to your postgraduate degree at the University.

Leading to: Machine learning and Deep Learning MSc
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.

Administered by the Department of Electronic & Electrical Engineering, and jointly delivered with the Department of Computer & Information Sciences, you'll be exposed to state-of-the-art engineering and software technologies that underpin machine learning and deep neural network systems.

You'll learn about and gain experience from hands-on, industry relevant projects and examples. This includes programming languages and engineering tools used in an increasing number of products and services worldwide.