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Masters
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Computer Science & IT
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Machine Intelligence
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MASTERS

Machine Intelligence

University of Greenwich
KentUK
On campus
Full-time
Duration
1 Year
Language
English
Apply date
May 2024
Start date
Sep 2024

Program Description

This Master's in Machine Intelligence builds on the concepts of artificial intelligence and machine learning by creating new systems to provide intelligence. By developing new processing methods and data representations, we aim to establish the next big step in computing. The course considers what lies behind current technologies (e.g. AlphaZero, Siri, Alexa) and equips you to think beyond them - to analyse the needs for future technologies and to create and shape them.

This course offers the opportunity to participate in a highly motivated intellectual environment with research-active tutors and like-minded peers while engaging with cutting-edge technologies. You'll be immersed in innovative and pioneering approaches to the field and become highly skilled. You'll also learn to apply your understanding to present and future real-world problems.

Notes:

• Tuition fees for students who have citizens' rights after Brexit: £10,500

Entry Requirements

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Curriculum

Modules

Developing, Funding and Commercialising Technology (15 credits)

Design of Advanced Electronic Systems (15 credits)

Machine Sensing (15 credits)

Intelligent Distributed Systems (15 credits)

Individual Research Project (60 credits)

Machine Intelligence (15 credits)

Research, Planning and Communication (15 credits)

Human & Machine Robotics (15 credits)

Securing Technologies (15 credits)

Academic English for Postgraduates (Engineering)

Careers

Graduates will find employment opportunities as:

  • futurologists
  • engineers
  • scientists and technical managers in the private sector (engineering design firms, engineering consultancy, communications companies, social media companies and similar)
  • entrepreneur

City banks, currency and stocks trading companies, consultancies, government agencies and NGOs will also be interested in employing the type of future-orientated intelligent systems engineers that graduate from this course.

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