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De Montfort University: Intelligent Systems and Robotics
| Institution | De Montfort University |
|---|---|
| Department | Computing, Engineering and Media |
| Web | https://www.dmu.ac.uk |
| enquiry@dmu.ac.uk | |
| Telephone | 0116 250 6070 |
| Study type | Taught |
MSc
Summary
**Artificial intelligence and intelligent robotics are rapidly growing fields that you can become part of. On this course you'll be able to gain knowledge of the various models of computational intelligence, acquire skills in the associated computational techniques, and learn how to apply them to solve a wide variety of problems.**
Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
**Key features**
This course is accredited by BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
The modules you’ll study feature work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision-making and prediction problems.
Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
Take advantage of our AI laboratory featuring cutting-edge workstations and technologies such as the Emotiv Flex Gel Sensor Kit and Emotiv PRO, Lynxmotion Hexapod robot, Turtlebots, HTC Vive development kits, 3D Scanner, 3D Printer and Lego EV3 Kits.
Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject. We are happy to consider equivalent qualifications from anywhere in the world. If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis. |
Summary
**Artificial intelligence and intelligent robotics are rapidly growing fields that you can become part of. On this course you'll be able to gain knowledge of the various models of computational intelligence, acquire skills in the associated computational techniques, and learn how to apply them to solve a wide variety of problems.**
Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
**Key features**
This course is accredited by BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
The modules you’ll study feature work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision-making and prediction problems.
Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
Take advantage of our AI laboratory featuring cutting-edge workstations and technologies such as the Emotiv Flex Gel Sensor Kit and Emotiv PRO, Lynxmotion Hexapod robot, Turtlebots, HTC Vive development kits, 3D Scanner, 3D Printer and Lego EV3 Kits.
Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject. We are happy to consider equivalent qualifications from anywhere in the world. If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis. |
| Location | Leicester Campus The Gateway Leicester LE1 9BH |
Fees
| EU | 15600 GBP for Year 1 |
|---|---|
| England | 8375 GBP for Year 1 |
| Scotland | 8375 GBP for Year 1 |
| Wales | 8375 GBP for Year 1 |
| Northern Ireland | 8375 GBP for Year 1 |
| International | 15600 GBP for Year 1 |
Summary
**Artificial intelligence and intelligent robotics are rapidly growing fields that you can become part of. On this course you'll be able to gain knowledge of the various models of computational intelligence, acquire skills in the associated computational techniques, and learn how to apply them to solve a wide variety of problems.**
Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
**Key features**
This course is accredited by BCS, The Chartered Institute for IT, for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional.
Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
The modules you’ll study feature work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision-making and prediction problems.
Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
Take advantage of our AI laboratory featuring cutting-edge workstations and technologies such as the Emotiv Flex Gel Sensor Kit and Emotiv PRO, Lynxmotion Hexapod robot, Turtlebots, HTC Vive development kits, 3D Scanner, 3D Printer and Lego EV3 Kits.
Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject. We are happy to consider equivalent qualifications from anywhere in the world. If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis. |
| Location | Leicester Campus The Gateway Leicester LE1 9BH |
Fees
| England | 700 GBP for Module |
|---|---|
| Northern Ireland | 700 GBP for Module |
| Scotland | 700 GBP for Module |
| Wales | 700 GBP for Module |
Summary
Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
**Key features**
- Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
- The modules you’ll study feature work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision-making and prediction problems.
- Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
- You will have access to our dedicated Advanced Mobile Robotics and Intelligent Agents Laboratory which contains a variety of mobile robots including the Lynxmotion Hexapod robot, TurtleBots and LEGO MINDSTORMS EV3 kits, providing excellent resources for teaching and research.
- Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject. We are happy to consider equivalent qualifications from anywhere in the world. If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis. |
| Location | Leicester Campus The Gateway Leicester LE1 9BH |
Fees
| England | 8170 GBP for Whole course |
|---|---|
| Scotland | 8170 GBP for Whole course |
| Wales | 8170 GBP for Whole course |
| Northern Ireland | 8170 GBP for Whole course |
| International | 15100 GBP for Whole course |
Summary
Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
**Key features**
- Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
- The modules you’ll study feature work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision-making and prediction problems.
- Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
- You will have access to our dedicated Advanced Mobile Robotics and Intelligent Agents Laboratory which contains a variety of mobile robots including the Lynxmotion Hexapod robot, TurtleBots and LEGO MINDSTORMS EV3 kits, providing excellent resources for teaching and research.
- Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject. We are happy to consider equivalent qualifications from anywhere in the world. If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis. |
| Location | Leicester Campus The Gateway Leicester LE1 9BH |
Fees
| England | 680 GBP for Module |
|---|---|
| Northern Ireland | 680 GBP for Module |
| Scotland | 680 GBP for Module |
| Wales | 680 GBP for Module |
Summary
Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
**Key features**
- Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
- The modules you’ll study feature work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision-making and prediction problems.
- Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
- You will have access to our dedicated Advanced Mobile Robotics and Intelligent Agents Laboratory which contains a variety of mobile robots including the Lynxmotion Hexapod robot, TurtleBots and LEGO MINDSTORMS EV3 kits, providing excellent resources for teaching and research.
- Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject. We are happy to consider equivalent qualifications from anywhere in the world. If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis. |
| Location | Leicester Campus The Gateway Leicester LE1 9BH |
Fees
| England | 8170 GBP for Year 1 |
|---|---|
| Scotland | 8170 GBP for Year 1 |
| Wales | 8170 GBP for Year 1 |
| Northern Ireland | 8170 GBP for Year 1 |
| International | 15100 GBP for Year 1 |
Summary
Computational Intelligence (CI) encompasses the techniques and methods used to tackle problems that traditional approaches to computing struggle to solve. The four areas of fuzzy logic, neural networks, CI optimisation and knowledge-based systems encompass much of what is considered to be computational (or artificial) intelligence. There are also opportunities to apply what you learn in areas such as robot control and games development, depending on your interests.
You can choose from a number of specialist modules including natural language processing, artificial neural networks and data mining techniques, while developing your skills in our dedicated robotics laboratory, equipped with a variety of mobile robots. The applied computational intelligence module considers knowledge-based systems, as well as the historical, philosophical and future implications of AI, and focuses on current research and applications in the area.
Modules include work based on research by the Institute of Artificial Intelligence (IAI). With an established international reputation, its work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Previous students have published papers with their IAI project supervisors and progressed on to PhD study.
**Key features**
- Our internationally recognised Institute of Artificial Intelligence (IAI) helps to inform the content of our course, allowing you to understand the current research issues related to artificial intelligence and potential areas that need more research focus.
- The modules you’ll study feature work based on research by our IAI and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision-making and prediction problems.
- Your studies can work around your work and other commitments with full-time, part-time or distance learning study options available. This makes the course ideal for both recent graduates and professionals already in employment.
- You will have access to our dedicated Advanced Mobile Robotics and Intelligent Agents Laboratory which contains a variety of mobile robots including the Lynxmotion Hexapod robot, TurtleBots and LEGO MINDSTORMS EV3 kits, providing excellent resources for teaching and research.
- Artificial intelligence is a growing industry across the globe. Employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject. We are happy to consider equivalent qualifications from anywhere in the world. If English is not your first language an IELTS score of 6.0 or equivalent when you start the course is essential. If you have no formal academic qualifications but do have extensive industry experience we will consider your application on an individual basis. |
| Location | Leicester Campus The Gateway Leicester LE1 9BH |
Fees
| England | 680 GBP for Module |
|---|---|
| Northern Ireland | 680 GBP for Module |
| Scotland | 680 GBP for Module |
| Wales | 680 GBP for Module |
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