MSc Applied Machine Learning for Creatives 12 months Postgraduate Programme By University of the Arts London |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

29,990 GBPTuition Fee/year

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This MSc course gives you the opportunity to learn computer and data science skills, as well as introducing you to functional approaches to applied  machine learning.

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.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

This MSc course gives you the opportunity to learn computer and data science skills, as well as introducing you to functional approaches to applied  machine learning.

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.

Admission Requirements

100+
185+
66+
7+
An applicant will normally be considered for admission if they have achieved an educational level equivalent to an honours degree in either the broad fields of:
  • Arts and Design
  • Humanities
  • a joint computer sciences and arts/humanities degree, or related subject.
Educational level may be demonstrated by: Honours degree (named above); Possession of equivalent qualifications in a design-related or creative discipline; Prior experiential learning, the outcome of which can be demonstrated to be equivalent to formal qualifications otherwise required. Your experience is assessed as a learning process and tutors will evaluate that experience for currency, validity, quality and sufficiency; Or a combination of formal qualifications and experiential learning which, taken together, can be demonstrated to be equivalent to formal qualifications otherwise required.
Applicants without the required qualifications, but with professional experience may be eligible to gain credit for previous learning and experience through the AP(E)L system.

1 Year
Sep

Domestic
14,000 GBP
International
29,990 GBP

Scholarships

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