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Home > Study in UK > Study Group - Royal Holloway University of London International Study Centre > Pre-Masters Program in Computer Science and Electronic Engineering (2 Terms), Leading to Master of Science in Machine Learning (Year in Business)

Pre-Masters Program in Computer Science and Electronic Engineering (2 Terms), Leading to Master of Science in Machine Learning (Year in Business) Study Group - Royal Holloway University of London International Study Centre Study Group - Royal Holloway University of London International Study Centre, UK

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GBP 15750

Annual Tuition Fee

!
*Subject to change and other fees
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 Free

Application Fee

Duration icon

31 months

Duration

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5.5

IELTS

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45%

Min GPA

Program Overview

Pre-Masters Programme in Computer Science and Electronic Engineering
The Pre-Masters Programme in Computer Science and Electronic Engineering is specifically designed to provide you with an awareness of key business and management functions with exposure to modern industry practices, preparing you to study business and management at a postgraduate level and move on to managerial and leadership roles within organisations.

Additionally, this programme will focus on enhancing your linguistic skills with a module dedicated to academic English language tuition. This will ensure your writing and speaking skills are at an appropriate level to study a postgraduate degree in English.

After completing your Pre-Masters Programme and meeting the required grades, you can progress to your postgraduate degree at Royal Holloway.

Leading to: Machine Learning (Year in Business) MSc

Machine learning has already revolutionised the user experience of millions of web users the world over, and yet the discipline is still comparatively young. In time, this form of artificial intelligence will have an even more profound impact on the way we use software and interact with computer technology. Study Machine Learning at Royal Holloway, University of London and you’ll equip yourself with a set of crucial skills to assist in the development of the next generation of search and analysis technologies.

Skills that you will acquire include the ability to:

  • develop, validate, and use effectively machine learning and statistical models
  • work with structured, unstructured, and time-series data
  • extract value and insight from data
  • work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
  • develop and use universal prediction algorithms, including universal strategies for dynamic investment
  • complement predictions with provably valid measures of accuracy and reliability.
  • work with software packages such as MATLAB and R

You’ll study in one of the UK’s leading research departments, and contribute to our renowned research culture with your own Independent Project. You’ll benefit from cutting-edge research-led teaching, with the department’s research strengths including Algorithms and Applications, Machine Learning, Bioinformatics and others.

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Additional Information

Program Level Pathway Program

College/University Processing Time 30 Days

Program Format Full-Time

Post-Study Work Visa (PSWV) work permit

Program Intake

Closed

Mar 2024, Jan 2024

General Admission Requirement

    Academic Requirement

    • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's degree.

    5.5 IELTS Score
    45% CGPA Minimum Overall Score

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    Tuition Fee

    The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.

    Average Tuition Fee Per Year

    15750

    Tuition Fee
    (GBP)

     Free

    Application Fee
    (GBP)

    12006 Per year

    Average Cost of Living
    (GBP)

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    The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

    Check program website for more information about funding options.

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