Artificial Intelligence for Engineering MSc
12 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Develop the skills to be at the forefront of the AI revolution in engineering technology. You'll learn the foundations of data science and machine intelligence, and how to apply them to control, automation and systems engineering.
Course description
Artificial Intelligence (AI) is being integrated into many engineering disciplines, enabling self-training complex robotic systems, predictive maintenance of civil infrastructure and accelerated simulation tools. This MSc course will equip you with understanding of AI technologies and the skills to utilise them to solve engineering challenges across multiple disciplines.
You will develop an extensive understanding of machine learning, autonomous agents, real-time intelligent systems and data science and modelling techniques. You'll be working hands-on with state-of-the-art hardware, software and data, and you'll have the opportunity to build a system from scratch using the specialist labs in the University. Optional modules to further develop your skills in areas that interest you include natural language processing, machine vision, professional issues in AI and autonomous systems such as driverless cars and un-crewed aerial systems (UAVs).
In addition to taught modules, you will undertake an individual research project, working alongside world-class academics and using state-of-the-art facilities. The project provides an opportunity to apply your knowledge to a real engineering problem, often in collaboration with industry or research centres.
Graduates from this programme are well-equipped to lead in the development and use of AI tools and systems across disciplines from automotive, industrial and aerospace to robotics, green energy and biotech.
Accreditation
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council (EC) as meeting the requirements for Further Learning for registration as a Chartered Engineer. You must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Master's
Study Mode
On Campus
Develop the skills to be at the forefront of the AI revolution in engineering technology. You'll learn the foundations of data science and machine intelligence, and how to apply them to control, automation and systems engineering.
Course description
Artificial Intelligence (AI) is being integrated into many engineering disciplines, enabling self-training complex robotic systems, predictive maintenance of civil infrastructure and accelerated simulation tools. This MSc course will equip you with understanding of AI technologies and the skills to utilise them to solve engineering challenges across multiple disciplines.
You will develop an extensive understanding of machine learning, autonomous agents, real-time intelligent systems and data science and modelling techniques. You'll be working hands-on with state-of-the-art hardware, software and data, and you'll have the opportunity to build a system from scratch using the specialist labs in the University. Optional modules to further develop your skills in areas that interest you include natural language processing, machine vision, professional issues in AI and autonomous systems such as driverless cars and un-crewed aerial systems (UAVs).
In addition to taught modules, you will undertake an individual research project, working alongside world-class academics and using state-of-the-art facilities. The project provides an opportunity to apply your knowledge to a real engineering problem, often in collaboration with industry or research centres.
Graduates from this programme are well-equipped to lead in the development and use of AI tools and systems across disciplines from automotive, industrial and aerospace to robotics, green energy and biotech.
Accreditation
Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council (EC) as meeting the requirements for Further Learning for registration as a Chartered Engineer. You must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
Admission Requirements
Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules.
Subject requirements We accept degrees in the following subject areas:
- Engineering
- Mathematics
- Physics
Module requirements You should have studied at least one module from the following areas:
- Computing / Computer Science
- Mathematics
- Physics
- Programming
If required degree subjects and modules are listed, these are indicative only. Sometimes we may accept subjects or modules that aren’t listed, and sometimes we may not accept subjects or modules that are listed, depending on the content studied.
English language requirements
IELTS 6.5 (with 6 in each component) or University equivalent.
Other requirements
We will not ask you to provide references or referee details as part of your application.
We do not require a supporting statement for this programme.
Scholarships
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