Planit


Machine Learning and Deep Learning

University of Strathclyde

Content

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.

Delivered jointly by the Departments of Electronic & Electrical Engineering and 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.

Entry Requirements

A first- or good second-class UK Honours degree, or equivalent overseas qualification, in electronic or electrical engineering, or computer science, from a recognised academic institution.

Highly-qualified candidates from other relevant engineering or science-related disciplines may be considered.

Start Date

September

Qualification

Postgraduate Master's

Award

MSc

Study Method

Full time

Course Length

12 months

Faculty

Faculty of Science

Department

Computer and Information Science

SCQF Level

11

Career Area

Engineering

Career Sectors

Aeronautical Engineering

Chemical and Materials Engineering

Electrical and Electronic Engineering

Engineering General

Mechanical and Manufacturing Engineering (including Fabrication and Welding)

Naval Architecture and Marine Engineering

Offshore and Energy