Full time September MSc 12 months 16 January 2023

About the course

1.  Why this course

This MSc focuses on state-of-the-art technologies for machine learning and deep neural network systems with emphasis on architectures, algorithms and implementation with applications in a broad range of areas. As the MSc will be delivered jointly with EEE and CIS, students will be exposed to state of art engineering and software technologies that underpin MLDL. 

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Entry Requirements

Normally a first or second-class 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.



 Course Content

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Scholarships

The Data Lab is a collaborative programme between The Data Lab and eleven Scottish universities, including Strathclyde. It facilitates industry involvement and collaboration, and provides full funding and resources for students.

Value of Scholarship(s)

Home/EU Tuition Fees

Eligibility

Four scholarship awards are available for Scottish/EU students studying this course.

Students who wish to be considered for these scholarships need to ensure that they fulfil the eligibility criteria set out by the Scottish Funding Council (SFC).
http://www.sfc.ac.uk/web/FILES/guidance_sfcgd192018/SFCGD192018_ESF_Developing_Scotlands_Workforce.pdf

Application Procedure

Applicants do not need to submit a separate application form to be considered for one of the Data Lab Scholarships. The Department Admissions Panel will review all applications submitted by the deadline date of 31 July, with all eligible applicants automatically considered for these scholarships.

The scholarships will be awarded on a competitive basis, taking into consideration academic performance, references and any other relevant information. Applicants should ensure that all information they wish to be considered by the Panel, has been included in their MSc application. Successful candidates will be advised of their scholarship award by 12 August.


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