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    Machine Learning & Deep Learning
    Go to University of Strathclyde
    University of Strathclyde

    Machine Learning & Deep Learning

    University of Strathclyde

    University of Strathclyde

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    United Kingdom, Glasgow

    University RankQS Ranking
    282

    Key Facts

    Program Level

    Master by Research

    Study Type

    Full Time

    Delivery

    On Campus

    Campuses

    MainSite

    Program Language

    English

    Start & Deadlines

    Next Intake DeadlinesJanuary-2026
    Apply to this program

    Go to the official application for the university

    Duration 12 month(s)
    Tuition Fee
    GBP 31,100  / year
    Next Intake January-2026

    Machine Learning & Deep Learning

    About

    Study with us

    Studying an MSc in Machine Learning & Deep Learning at the University of Strathclyde, you'll be learning at an award-winning academic institution - the only University to have won the Times Higher Education University of the Year award twice (2012/2019).

    • develop expert knowledge of, and the ability to design, complex machine learning and deep neural networks systems for use in industry
    • focus on architectures, algorithms and novel engineering and software technologies

    You may also be interested in:

    Why this course?

    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.

    Requirements

    Entry Requirements

    Academic requirements

    Normally a first-class or second-class honours degree (or international equivalent) in electronic or electrical engineering, or computer science.

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

    English language requirements

    If English is not your first language, please visit our English language requirements page for full details of the requirements in place before making your application.

    Undergraduate

    Students who have studied the Tawjihiyya/Thanawiya General School Certificate are eligible for entry via a foundation programme from the ISC. Students that have studied an International Qualification such as A Levels, IB Diploma, French Bac or the American High School system should check the relevant country.

    Postgraduate

    A good degree from a recognised Higher Education Institution is acceptable for postgraduate study at Strathclyde. Our applications are judged on a case-by-case basis and can vary depending on the course. As a guide, we normally consider a GPA of 2.8 out of 4 and 3.8 out of 5.

    English Program Requirements

    We accept a number of English language tests as proof of proficiency in English. IELTS is the most widely available. Information on this can be found on the British Council Website.

    Our current standard requirements are:

    • IELTS (Academic): 6.5 overall (no individual band less than 5.5)
    • Faculty of Science: IELTS (Academic): 6.0 overall (no individual band less than 5.5)
    • Faculty of Engineering (Undergraduate only): IELTS (Academic): 6.0 overall (no individual band less than 5.5)

    Some degree programmes have different English language requirements to the above so please check each individual course page for details.

    Other English language tests may be acceptable and you can find these here:

    If you have a qualification not listed, you should contact our Recruitment & International Office for advice.

    Career

    Careers

    Job titles for future graduates of the MSc Machine Learning & Deep Learning include (but not limited to):

    • Graduate Software Engineer
    • Electronic Engineering Systems Analysts
    • Lecturer / Researcher
    • Data Scientist
    • Data Engineer
    • Data Analyst
    • Machine Learning Engineer
    • Data Insight Analyst

    Fee Information

    Fees & funding

    All fees quoted are for full-time courses and per academic year unless stated otherwise.

    Please note, for courses that have a January 2024 start date, 2023/24 academic year fees will apply. For courses that have a September 2024 start date, 2024/25 academic year fees will apply.

    Fees may be subject to updates to maintain accuracy. Tuition fees will be notified in your offer letter.

    All fees are in £ sterling, unless otherwise stated, and may be subject to revision.

    Annual revision of fees

    Students on programmes of study of more than one year (or studying standalone modules) should be aware that tuition fees are revised annually and may increase in subsequent years of study. Annual increases will generally reflect UK inflation rates and increases to programme delivery costs.

    Tuition Fee

    GBP 31,100 

    Application Fee

    GBP  
    University of Strathclyde

    Machine Learning & Deep Learning

    University of Strathclyde

    [object Object]

    United Kingdom,

    Glasgow

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