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Master of Engineering in Robotics and Automation

Master of Engineering in Robotics and Automation

at Leeds Beckett University - Headingley Campus United Kingdom

Overview

Be part of the robotics revolution - make robots come 'alive' and develop their ability to think and make decisions that assist human activity.

This integrated master’s is studied over four years and combines undergraduate and postgraduate study in one course.

As part of your course, you’ll:

  • Work hands-on with robotics
  • Learn how to program hardware and software for real-life case studies, such as a discovery robot that will navigate and interact with its environment through a range of sensors, including infra-red, sonar, cameras and GPS
  • Gain problem-solving skills that are crucial to engineering

As well as a year in industry, you’ll have the opportunity to make site visits and attend industry conferences. This will help build your network of contacts and give you an insight into the latest advancements in robotics engineering.

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

48

Duration

Leeds Beckett University - Headingley Campus

Location

Master of Engineering in Robotics and Automation Assistant Fee

$14000

Tuition Fee

$0

Average Cost of Living

$0

Application Fee

Master of Engineering in Robotics and Automation 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

6.0

Minimum Overall Score

79.0

Minimum Overall Score

54.0

Minimum Overall Score

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Be part of the robotics revolution - make robots come 'alive' and develop their ability to think and make decisions that assist human activity.

This integrated master’s is studied over four years and combines undergraduate and postgraduate study in one course.

As part of your course, you’ll:

  • Work hands-on with robotics
  • Learn how to program hardware and software for real-life case studies, such as a discovery robot that will navigate and interact with its environment through a range of sensors, including infra-red, sonar, cameras and GPS
  • Gain problem-solving skills that are crucial to engineering

As well as a year in industry, you’ll have the opportunity to make site visits and attend industry conferences. This will help build your network of contacts and give you an insight into the latest advancements in robotics engineering.

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Duration

$ 14000

Tuition

Data is recognised as a key asset in any organisation and a means by which to gain information, insight and understanding.

As part of this course, you’ll:

  • Study data analysis techniques
  • Learn how to apply your knowledge to investigate social issues, such as crime connections and business insight
  • Cover key themes from data management and data analytics such as machine learning, to statistics and programming
  • Gain an in-depth understanding of core data analysis techniques informed by a deeper knowledge of data principles and practical considerations
  • Use open source data and tools such as python and SQL, tableau and KNIME
  • Learn how to identify data to inform your investigation, ensure quality results, select appropriate analysis techniques for the task and choose methods to convey the message
  • Understand the importance of ethics and data governance in your approach to data science

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