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Master of Engineering in Computer Science with Artificial Intelligence

Master of Engineering in Computer Science with Artificial Intelligence

at University of Southampton - Highfield Campus United Kingdom

Overview

Artificial intelligence (AI) is set to revolutionise work, leisure and travel in ways we can only imagine. It has the potential to solve global health, social and environmental challenges. On this computer science with artificial intelligence course, you’ll learn to design and build the AI programs and systems behind these exciting developments.

As a highly respected hub for AI research, you'll benefit from a range of specialist modules that few UK universities can match. You’ll also be taught by academics actively involved in the latest advances in AI.

Areas you’ll study include machine learning, computer vision, intelligent agents, game theory and robotics.

You’ll graduate with outstanding career prospects in one of today’s most exciting and rapidly evolving fields of computer science.

As part of your master's you will:

  • Learn how to design, build and deliver software programs and systems
  • Study AI principles and practice at an advanced level
  • Be taught by academic staff at the forefront of research
  • Do an individual special project in year 3
  • Take part in a group design project in year 4, working with an academic or industry customer

This MEng Computer Science with Artificial Intelligence degree is accredited by the Institution of Engineering and Technology on behalf of the Engineering Council for the purposes of:

  • Fully meeting the academic requirement for registration as a Chartered Engineer
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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

48

Duration

University of Southampton - Highfield Campus

Location

Master of Engineering in Computer Science with Artificial Intelligence Assistant Fee

$23720

Tuition Fee

$0

Average Cost of Living

$0

Application Fee

Master of Engineering in Computer Science with Artificial Intelligence Admissions Requirements

  • Minimum Level of Education Required: To be accepted for this program, students must have Standard XII Higher Secondary Certificate.

 

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Where would you like to study*

Work Permit United Kingdom

There are various options through which a student can get a post study work visa in the UK. 
Tier 1 Graduate Entrepreneur Visa for the graduates with a genuine and credible business idea. 
Tier 2 (General) is the leading immigration visa to work in the UK.
Tier 4 Doctorate Extension Scheme is for students who have completed their Ph.D. and is valid for 12 months for them to work, look for work or set up a business. 
Tier 5 Youth Mobility is for individuals of certain countries like Australia, Canada, Japan, Monaco, Hong Kong, South Korea, Taiwan, and New Zealand aged between 18 -30 who wish to move to the UK. 
Tier 5 GAE is for individuals who want to come to the UK for work experience, training, research or a fellowship. 
UK Ancestry is for individuals who are a citizen of a commonwealth and plan to work in the UK and have a grandparent who was born in the UK.
 

Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

48

Duration

Study Visa

English Test Requirement

6.5

Minimum Overall Score

92.0

Minimum Overall Score

62.0

Minimum Overall Score

Other Courses by University of Southampton - Highfield Campus,United Kingdom

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Through this course you’ll learn how to:

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As part of your master's, you will:

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You'll put architectural principles into practice through design projects. These are taught by structural engineers and architects, and include:

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Electrical engineering is about the generation, distribution and use of electricity on a large scale, while electronics is all about the components and systems that make electronic devices work. On this electrical and electronic engineering degree you’ll gain a thorough grounding in both disciplines, and learn how they interrelate.

You’ll learn from researchers who will share their passion for their areas of expertise, which include high-voltage electrical engineering, sustainable energy and machine learning. Examples of practical design work on this course include designing and testing a microprocessor, a robot, or a large integrated circuit.

You can choose to study topics to suit your career path, including:

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48 month

Duration

$ 23720

Tuition

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As part of this course you can:

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You can also join our Formula Student team. You'll help design, build and race a car in competitions.

You can take this course with an additional year-long, paid placement. Apply with UCAS code H3H3 for the Industrial Placement Year option.

We're a designated university for the Defence Technical Undergraduate Scheme (DTUS).

48 month

Duration

$ 23720

Tuition

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