University of the Arts London - Graduate Programs

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Data Science and AI

University of the Arts London - Graduate Programs

Faculty:UAL Creative Computing Institute
Degree:Master
Field of Study:Artificial Intelligence and Robotics
Computer and Information Sciences, General
Length:1 Year(s)
Cost per year:*
National: $43,405

Cost per year has been converted from British Sterling (£25,970) to Canadian Dollars.

Careers:Data Engineer

Description:

Our focused master’s programme offers you a further engagement with core data science competencies, and functional approaches to developing AI products and services. Furthermore, the ethical dimension of data science is actively explored in this course ensuring you have a deep understanding of the power of this technology. You will apply scientific principles to support creation of mathematical models of real-world problems through computer programming. Different competencies will be measured across the programme through project work and core programming. Special attention will be given to the development of your thesis project that targets your preferred technology sector or domain of work. This is to support your progression to industry or academic research.

Prerequisites:

These courses are intended as guidelines. Speak to your guidance counsellor to see what courses are offered at your school.
    The standard minimum entry requirements for this course are:



    • An honours degree in a relevant subject such as Computer Science, Data Science, Computing, Mechanical or Electrical Engineering, Joint Computer Science / Arts, Humanities programme
    • OR a professional qualification recognised as equivalent to an Honours degree in a technology-related or engineering discipline.
    • AND typically, at least Grade B/Grade 6 at GCSE Mathematics.

    * We make every attempt to provide accurate information on prerequisites, programs, and tuition. However, this information is subject to change without notice and we highly recommend that you contact the school to confirm important information before applying.

    Modified on December 17, 2022