Description

Learn how to research, design and develop machine learning and autonomous systems technologies. You’ll be prepared for a wide 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
Choose one unit from:
  • Autonomous systems engineering
  • Intelligent agents
Semester 2
  • Research project preparation
  • Intelligent control and cognitive systems
  • Machine learning 2
Summer
  • Dissertation
Optional course units
 
These are examples of optional units currently being studied by our students, or are proposed new units.
  • Bayesian machine learning
  • Neural computation
  • Reinforcement learning
  • Artificial intelligence

Student Destinations

With machine learning and autonomous systems forming an essential part of a number of key industries, our MSc graduates will be highly sought after by employers.

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 wide variety of sectors, including IT consultancy, software development, banking and education.

Fees

2019/20 fees Home/EU £9,500 Overseas £22,000

Entry Requirements

You should have a first or 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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