Description

Learn how to research, design and develop machine learning and autonomous systems technologies. You’ll be prepared for a range of careers in industry.

Intelligent and autonomous systems are increasingly important in all areas of human life and activity from medicine and space exploration to agriculture and entertainment.

Understanding and developing autonomous systems involves a range of skills and knowledge including designing interactive systems with both human and machine elements, and modelling and building systems that can sense and learn.

Study Details:

MSc 1 year full-time

Module Details:

Compulsory course units

These compulsory units are currently being studied by our students, or are proposed new units.

Semester 1

  • Statistics for data science
  • Machine learning 1
  • Humans and intelligent machines
  • Autonomous systems engineering

Choose one unit from:

  • Intelligent agents
  • Robotics software

Semester 2

  • Research project preparation
  • Intelligent control and cognitive systems
  • Machine learning 2
  • Plus optional units

Summer

  • Dissertation

Optional course units

These are examples of optional units currently being studied by our students.

  • Bayesian machine learning
  • Reinforcement learning
  • Artificial intelligence

Student Destinations

With machine learning and autonomous systems forming an essential part of a number of key industries, you’ll have good prospects for employment after the course.

You’ll gain the knowledge and transferable skills for a career in a wide range of industries, or for further study at PhD level. Graduates from the department have gone on to work in a variety of sectors, including IT consultancy, software development, banking and education.

Fees

2020/21 fees Home/EU £9,500 Overseas £23,100

Entry Requirements

You should have a first or strong second-class bachelor’s honours degree or international equivalent.

Please see our website for how to apply

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Key Information

Please see our website for how to apply


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University Hub

University of Bath

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