find your perfect postgrad program
Search our Database of 30,000 Courses
University of Huddersfield: Artificial Intelligence
| Institution | University of Huddersfield |
|---|---|
| Department | Department of Computer Science (CEI) |
| Web | http://www.hud.ac.uk |
| contacthud@hud.ac.uk | |
| Telephone | +44 (0)1484 422288 |
| Study type | Taught |
MSc
Summary
In the UK, we have seen a huge expansion in artificial intelligence (AI) during the last decade, showcasing that the country’s economy is aiming to use intelligent technologies to position itself at the forefront of the digital revolution.
Data shows that the AI sector is worth over £16.8bn*. This means that AI has rapidly become a medium-sized sector in the UK, and has the potential to participate in other sectors' growth.
You could contribute to this growth by enrolling on our Artificial Intelligence MSc at The University of Huddersfield.
Why study Artificial Intelligence MSc at Huddersfield?
Demand for talent in AI techniques, such as machine learning, is increasing rapidly. There is a need to ensure the skills pipeline can meet the needs of industry now and in the future. This course, perfect for those with prior or specialist experience in Computing, aims to develop your knowledge and understanding to an advanced level across a range of areas, including:
-
Machine Learning
-
Data Mining
-
Robotics
-
Knowledge Graphs
-
Autonomous Systems
We will equip you with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. This should then enable you to match applications with appropriate AI techniques for their solution. You will also be able to construct and configure solutions using a range of AI technologies.
You’ll be taught by international experts in the field of AI. Our academic staff are active in exciting and pioneering research, applying AI methods to address societal changes in healthcare, transportation, smart cities and supply chains. Our research expertise spans the whole spectrum of modern AI, from automated planning and knowledge representation and reasoning, to statistical and data-driven AI, machine learning, deep learning and generative AI.
This course is fully accredited by the British Computer Society (BCS), the Chartered Institute for IT, and by completing it, you will have partially fulfilled the academic requirements for registration as a Chartered IT Professional and Chartered Engineer.
The University is nestled within the heart of Huddersfield, a warm and welcoming town, known for its friendly atmosphere and diverse community. When you’re not studying, you can enjoy an array of exciting activities and experiences. From cultural events and charming cafes to stunning scenery and fantastic transport links, there’s plenty to do in and around the town centre.
We also offer this course as a part-time Distance Learning route (https://courses.hud.ac.uk/part-time/postgraduate/artificial-intelligence-msc-distance-learning)
*Forbes
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course are normally: * A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or related subject or an equivalent professional qualification |
| Location | Main Site Queensgate Huddersfield HD1 3DH |
Fees
| England | 9900 GBP for Year 1 |
|---|---|
| Northern Ireland | 9900 GBP for Year 1 |
| Scotland | 9900 GBP for Year 1 |
| Wales | 9900 GBP for Year 1 |
| Channel Islands | 9900 GBP for Year 1 |
| Republic of Ireland | 9900 GBP for Year 1 |
| EU | 18700 GBP for Year 1 |
| International | 18700 GBP for Year 1 |
Summary
In the UK, we have seen a huge expansion in artificial intelligence (AI) during the last decade, showcasing that the country’s economy is aiming to use intelligent technologies to position itself at the forefront of the digital revolution.
Data shows that the AI sector is worth over £16.8bn*. This means that AI has rapidly become a medium-sized sector in the UK, and has the potential to participate in other sectors' growth.
You could contribute to this growth by enrolling on our Artificial Intelligence MSc at The University of Huddersfield.
Why study Artificial Intelligence MSc at Huddersfield?
Demand for talent in AI techniques, such as machine learning, is increasing rapidly. There is a need to ensure the skills pipeline can meet the needs of industry now and in the future. This course, perfect for those with prior or specialist experience in Computing, aims to develop your knowledge and understanding to an advanced level across a range of areas, including:
-
Machine Learning
-
Data Mining
-
Robotics
-
Knowledge Graphs
-
Autonomous Systems
We will equip you with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. This should then enable you to match applications with appropriate AI techniques for their solution. You will also be able to construct and configure solutions using a range of AI technologies.
You’ll be taught by international experts in the field of AI. Our academic staff are active in exciting and pioneering research, applying AI methods to address societal changes in healthcare, transportation, smart cities and supply chains. Our research expertise spans the whole spectrum of modern AI, from automated planning and knowledge representation and reasoning, to statistical and data-driven AI, machine learning, deep learning and generative AI.
This course is fully accredited by the British Computer Society (BCS), the Chartered Institute for IT, and by completing it, you will have partially fulfilled the academic requirements for registration as a Chartered IT Professional and Chartered Engineer.
The University is nestled within the heart of Huddersfield, a warm and welcoming town, known for its friendly atmosphere and diverse community. When you’re not studying, you can enjoy an array of exciting activities and experiences. From cultural events and charming cafes to stunning scenery and fantastic transport links, there’s plenty to do in and around the town centre.
We also offer this course as a part-time Distance Learning route (https://courses.hud.ac.uk/part-time/postgraduate/artificial-intelligence-msc-distance-learning)
*Forbes
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course are normally: * A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or related subject or an equivalent professional qualification |
| Location | Main Site Queensgate Huddersfield HD1 3DH |
Fees
| England | 9900 GBP for Year 1 |
|---|---|
| Northern Ireland | 9900 GBP for Year 1 |
| Scotland | 9900 GBP for Year 1 |
| Wales | 9900 GBP for Year 1 |
| Channel Islands | 9900 GBP for Year 1 |
| Republic of Ireland | 9900 GBP for Year 1 |
| EU | 18700 GBP for Year 1 |
| International | 18700 GBP for Year 1 |
Summary
In the UK, we have seen a huge expansion in artificial intelligence (AI) during the last decade, showcasing that the country’s economy is aiming to use intelligent technologies to position itself at the forefront of the digital revolution.
Data shows that the AI sector is worth over £16.8bn*. This means that AI has rapidly become a medium-sized sector in the UK, and has the potential to participate in other sectors' growth.
You could contribute to this growth by enrolling on our Artificial Intelligence MSc at The University of Huddersfield.
Why study Artificial Intelligence MSc at Huddersfield?
Demand for talent in AI techniques, such as machine learning, is increasing rapidly. There is a need to ensure the skills pipeline can meet the needs of industry now and in the future. This course, perfect for those with prior or specialist experience in Computing, aims to develop your knowledge and understanding to an advanced level across a range of areas, including:
-
Machine Learning
-
Data Mining
-
Robotics
-
Knowledge Graphs
-
Autonomous Systems
We will equip you with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. This should then enable you to match applications with appropriate AI techniques for their solution. You will also be able to construct and configure solutions using a range of AI technologies.
You’ll be taught by international experts in the field of AI. Our academic staff are active in exciting and pioneering research, applying AI methods to address societal changes in healthcare, transportation, smart cities and supply chains. Our research expertise spans the whole spectrum of modern AI, from automated planning and knowledge representation and reasoning, to statistical and data-driven AI, machine learning, deep learning and generative AI.
This course is fully accredited by the British Computer Society (BCS), the Chartered Institute for IT, and by completing it, you will have partially fulfilled the academic requirements for registration as a Chartered IT Professional and Chartered Engineer.
The University is nestled within the heart of Huddersfield, a warm and welcoming town, known for its friendly atmosphere and diverse community. When you’re not studying, you can enjoy an array of exciting activities and experiences. From cultural events and charming cafes to stunning scenery and fantastic transport links, there’s plenty to do in and around the town centre.
We also offer this course as a part-time Distance Learning route (https://courses.hud.ac.uk/part-time/postgraduate/artificial-intelligence-msc-distance-learning)
*Forbes
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course are normally: * A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or related subject or an equivalent professional qualification |
| Location | Main Site Queensgate Huddersfield HD1 3DH |
Fees
| England | 9900 GBP for Year 1 |
|---|---|
| Northern Ireland | 9900 GBP for Year 1 |
| Scotland | 9900 GBP for Year 1 |
| Wales | 9900 GBP for Year 1 |
| Channel Islands | 9900 GBP for Year 1 |
| Republic of Ireland | 9900 GBP for Year 1 |
| EU | 18700 GBP for Year 1 |
| International | 18700 GBP for Year 1 |
Summary
This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering you the opportunity to secure a placement* for an additional 6 months, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree.
In the UK, we have seen a huge expansion in artificial intelligence (AI) during the last decade, showcasing that the country’s economy is aiming to use the tech to position itself at the forefront of the revolution.
Data shows that the AI sector is worth over £15.6bn and employs more than 35,000 people.* This means that AI has rapidly become a medium-sized sector in the UK and has the potential to participate in other sectors' growth.
You could contribute to this growth by enrolling onto our Artificial Intelligence (with Placement) MSc at The University of Huddersfield.
*https://www.thedatacity.com/insights-news/uk-artificial-intelligence-statistics-2020
Why study Artificial Intelligence MSc at Huddersfield?
Demand for AI talent in AI techniques, such as machine learning, is increasing rapidly.
There is a need to ensure the skills pipeline can meet the needs of industry now and in the future. This course aims to develop your knowledge and understanding to an advanced level across a range of areas, including:
Autonomous systems Knowledge representation and reasoning Data mining Machine learning Robotics We will equip you with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. This should then enable you to match applications with appropriate AI techniques for their solution. You will also be able to construct and configure solutions using a range of AI technologies.
A vibrant town, Huddersfield is a friendly and diverse place from which to study, too, offering lots to do between lectures.
Top 3 Reasons to Study Artificial Intelligence MSc at Huddersfield
-
Exciting Career Prospects - 94.1% of our graduates from the School of Computing and Engineering were in work or further study 15 months after graduation*.
-
Boost Your Knowledge – We'll equip you with the knowledge, underpinning recent AI developments, as well as the skills to enable you to contribute to future AI technologies.
-
Practical Experience – We’ll support you in finding a six-month work placement. You could work in industry, a research group or within a teaching environment.
*HESA Graduate Outcomes 18/19
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course are normally: * A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or related subject or an equivalent professional qualification |
| Location | Main Site Queensgate Huddersfield HD1 3DH |
Fees
| England | 9900 GBP for Year 1 |
|---|---|
| Northern Ireland | 9900 GBP for Year 1 |
| Scotland | 9900 GBP for Year 1 |
| Wales | 9900 GBP for Year 1 |
| Channel Islands | 9900 GBP for Year 1 |
| Republic of Ireland | 9900 GBP for Year 1 |
| EU | 18700 GBP for Year 1 |
| International | 18700 GBP for Year 1 |
Summary
This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering you the opportunity to secure a placement* for an additional 6 months, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree.
In the UK, we have seen a huge expansion in artificial intelligence (AI) during the last decade, showcasing that the country’s economy is aiming to use the tech to position itself at the forefront of the revolution.
Data shows that the AI sector is worth over £15.6bn and employs more than 35,000 people.* This means that AI has rapidly become a medium-sized sector in the UK and has the potential to participate in other sectors' growth.
You could contribute to this growth by enrolling onto our Artificial Intelligence (with Placement) MSc at The University of Huddersfield.
*https://www.thedatacity.com/insights-news/uk-artificial-intelligence-statistics-2020
Why study Artificial Intelligence MSc at Huddersfield?
Demand for AI talent in AI techniques, such as machine learning, is increasing rapidly.
There is a need to ensure the skills pipeline can meet the needs of industry now and in the future. This course aims to develop your knowledge and understanding to an advanced level across a range of areas, including:
Autonomous systems Knowledge representation and reasoning Data mining Machine learning Robotics We will equip you with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. This should then enable you to match applications with appropriate AI techniques for their solution. You will also be able to construct and configure solutions using a range of AI technologies.
A vibrant town, Huddersfield is a friendly and diverse place from which to study, too, offering lots to do between lectures.
Top 3 Reasons to Study Artificial Intelligence MSc at Huddersfield
-
Exciting Career Prospects - 94.1% of our graduates from the School of Computing and Engineering were in work or further study 15 months after graduation*.
-
Boost Your Knowledge – We'll equip you with the knowledge, underpinning recent AI developments, as well as the skills to enable you to contribute to future AI technologies.
-
Practical Experience – We’ll support you in finding a six-month work placement. You could work in industry, a research group or within a teaching environment.
*HESA Graduate Outcomes 18/19
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course are normally: * A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or related subject or an equivalent professional qualification |
| Location | Main Site Queensgate Huddersfield HD1 3DH |
Fees
| England | 9900 GBP for Year 1 |
|---|---|
| Northern Ireland | 9900 GBP for Year 1 |
| Scotland | 9900 GBP for Year 1 |
| Wales | 9900 GBP for Year 1 |
| Channel Islands | 9900 GBP for Year 1 |
| Republic of Ireland | 9900 GBP for Year 1 |
| EU | 18700 GBP for Year 1 |
| International | 18700 GBP for Year 1 |
Summary
This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering you the opportunity to secure a placement* for an additional 6 months, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree.
In the UK, we have seen a huge expansion in artificial intelligence (AI) during the last decade, showcasing that the country’s economy is aiming to use the tech to position itself at the forefront of the revolution.
Data shows that the AI sector is worth over £15.6bn and employs more than 35,000 people.* This means that AI has rapidly become a medium-sized sector in the UK and has the potential to participate in other sectors' growth.
You could contribute to this growth by enrolling onto our Artificial Intelligence (with Placement) MSc at The University of Huddersfield.
*https://www.thedatacity.com/insights-news/uk-artificial-intelligence-statistics-2020
Why study Artificial Intelligence MSc at Huddersfield?
Demand for AI talent in AI techniques, such as machine learning, is increasing rapidly.
There is a need to ensure the skills pipeline can meet the needs of industry now and in the future. This course aims to develop your knowledge and understanding to an advanced level across a range of areas, including:
Autonomous systems Knowledge representation and reasoning Data mining Machine learning Robotics We will equip you with an understanding of the fundamental approaches to implementing intelligent behaviour in machines. This should then enable you to match applications with appropriate AI techniques for their solution. You will also be able to construct and configure solutions using a range of AI technologies.
A vibrant town, Huddersfield is a friendly and diverse place from which to study, too, offering lots to do between lectures.
Top 3 Reasons to Study Artificial Intelligence MSc at Huddersfield
-
Exciting Career Prospects - 94.1% of our graduates from the School of Computing and Engineering were in work or further study 15 months after graduation*.
-
Boost Your Knowledge – We'll equip you with the knowledge, underpinning recent AI developments, as well as the skills to enable you to contribute to future AI technologies.
-
Practical Experience – We’ll support you in finding a six-month work placement. You could work in industry, a research group or within a teaching environment.
*HESA Graduate Outcomes 18/19
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Entry requirements for this course are normally: * A BSc or BEng Honours degree (2:2 or above) in Computing or Engineering or related subject or an equivalent professional qualification |
| Location | Main Site Queensgate Huddersfield HD1 3DH |
Fees
| England | 9900 GBP for Year 1 |
|---|---|
| Northern Ireland | 9900 GBP for Year 1 |
| Scotland | 9900 GBP for Year 1 |
| Wales | 9900 GBP for Year 1 |
| Channel Islands | 9900 GBP for Year 1 |
| Republic of Ireland | 9900 GBP for Year 1 |
| EU | 18700 GBP for Year 1 |
| International | 18700 GBP for Year 1 |
Not what you are looking for?
Browse other courses in Computer science, Artificial intelligence, Computer networking, Computer networks, Information technology, Business information technology, Business computing, Computers or Computing mathematics, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here