MSc in Artificial Intelligence for Engineering and Design with professional placement (2 years with professional placement) 24 months Postgraduate Program By University of Bath |Top Universities

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Artificial intelligence is one of the fastest growing technologies, with many sectors having to adapt quickly. As the integration of artificial intelligence into industries becomes more widespread, so do new opportunities. Engineers with expertise in applying AI methods to improve business productivity, efficiency, and sustainability are in high demand.
We've designed our new master's to meet this demand and help move engineering practice as we know it into the future. You'll study a range of AI-related topics, combining engineering and design with data science, machine learning, and applied artificial intelligence. We teach the professional and transferrable skills to lead on applying new technologies in this rapidly shifting arena. You’ll also explore how AI can help transform society through technological advancements, while considering its wider impact in areas such as ethics.
Working with real-life case studies, you'll learn how to use data and advanced algorithms to solve the complex challenges found in industry. This, along with the creative, problem-solving, and technical skills valued by employers will help prepare you to innovate solutions at a professional level.
You’ll spend up to 12 months on placement after the end of your first year. This allows you to apply your engineering knowledge to the workplace and build on industry-relevant skills through first-hand professional experience. You’ll increase your understanding of how the industry sector runs, and how you could meet the skills demand now and in the future. It’s also a great opportunity to develop a network of industry professionals that could help you in your future career.

Program overview

Main Subject

Data Science and Artificial Intelligence

Degree

MSc

Study Level

Masters

Study Mode

On Campus

Artificial intelligence is one of the fastest growing technologies, with many sectors having to adapt quickly. As the integration of artificial intelligence into industries becomes more widespread, so do new opportunities. Engineers with expertise in applying AI methods to improve business productivity, efficiency, and sustainability are in high demand.
We've designed our new master's to meet this demand and help move engineering practice as we know it into the future. You'll study a range of AI-related topics, combining engineering and design with data science, machine learning, and applied artificial intelligence. We teach the professional and transferrable skills to lead on applying new technologies in this rapidly shifting arena. You’ll also explore how AI can help transform society through technological advancements, while considering its wider impact in areas such as ethics.
Working with real-life case studies, you'll learn how to use data and advanced algorithms to solve the complex challenges found in industry. This, along with the creative, problem-solving, and technical skills valued by employers will help prepare you to innovate solutions at a professional level.
You’ll spend up to 12 months on placement after the end of your first year. This allows you to apply your engineering knowledge to the workplace and build on industry-relevant skills through first-hand professional experience. You’ll increase your understanding of how the industry sector runs, and how you could meet the skills demand now and in the future. It’s also a great opportunity to develop a network of industry professionals that could help you in your future career.

Admission Requirements

2.7+
90+
6.5+
62+
  • You should have a Bachelor’s honours degree or international equivalent, typically a 2:2 or above.
  • To apply for this course, you should have an undergraduate degree in a numerate subject. This includes engineering and science degrees, as well as other disciplines where there is a numerate element to the course such as architecture, economics, psychology or business.

2 Years
Sep

Tuition fees

Domestic
14,200
International
33,200

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