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University of Worcester: Artificial Intelligence
| Institution | University of Worcester |
|---|---|
| Department | Worcester Business School |
| Web | http://www.worcester.ac.uk |
| admissions@worc.ac.uk | |
| Telephone | 01905 855111 |
| Study type | Taught |
MSc
Summary
What makes studying an MSc in Artificial Intelligence at Worcester special?
Our Master of Science in Artificial Intelligence (MSc) program is a Postgraduate qualification designed for students with a background in Computing who are looking to specialise in Artificial Intelligence or Data Science.
You will be taught by academic staff who have a wealth of experience in industry, research and teaching. You will gain experience focussed on the latest developments in how AI systems work and discover what research or development opportunities are opening up. The course mixes practical development, opportunity discovery and innovative use, underpinned by core principles such as security, dependability, ethical usage and sustainability. If you are working in a profession where you can already see a potential for AI or Data Science this course can support your career development and AI journey.
Key features
The course equips you for a professional mastery in artificial intelligence and has the following features: - Modules that incorporate the latest research and contemporary ideas in the field taught in a small group setting with low staff-student ratios to create a friendly and supportive environment in which to study.
-
Structured learning that will take you from understanding basic concepts, to applying, testing and managing AI provision in dedicated teaching spaces with high performance hardware and a wide range of contemporary tools based primarily on open-source software and libraries such as Ubuntu OS, Python, TensorFlow and Keras.
-
A productive mix of practical application enhanced by an understanding of AI theory and an exploration of governance, corporate and social ethics, AI implementation strategy, and sustainable development goals.
-
Teaching staff who are expert in the field from a wealth of backgrounds including industrial and business applications as well as advanced research establishments.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Please see the University website for details |
| Location | Main Site Henwick Grove Worcester WR2 6AJ |
Summary
What makes studying an MSc in Artificial Intelligence at Worcester special?
Our Master of Science in Artificial Intelligence (MSc) program is a Postgraduate qualification designed for students with a background in Computing who are looking to specialise in Artificial Intelligence or Data Science.
You will be taught by academic staff who have a wealth of experience in industry, research and teaching. You will gain experience focussed on the latest developments in how AI systems work and discover what research or development opportunities are opening up. The course mixes practical development, opportunity discovery and innovative use, underpinned by core principles such as security, dependability, ethical usage and sustainability. If you are working in a profession where you can already see a potential for AI or Data Science this course can support your career development and AI journey.
Key features
The course equips you for a professional mastery in artificial intelligence and has the following features: - Modules that incorporate the latest research and contemporary ideas in the field taught in a small group setting with low staff-student ratios to create a friendly and supportive environment in which to study.
-
Structured learning that will take you from understanding basic concepts, to applying, testing and managing AI provision in dedicated teaching spaces with high performance hardware and a wide range of contemporary tools based primarily on open-source software and libraries such as Ubuntu OS, Python, TensorFlow and Keras.
-
A productive mix of practical application enhanced by an understanding of AI theory and an exploration of governance, corporate and social ethics, AI implementation strategy, and sustainable development goals.
-
Teaching staff who are expert in the field from a wealth of backgrounds including industrial and business applications as well as advanced research establishments.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Please see the University website for details |
| Location | Main Site Henwick Grove Worcester WR2 6AJ |
Summary
What makes studying an MSc in Artificial Intelligence at Worcester special?
Our Master of Science in Artificial Intelligence (MSc) program is a Postgraduate qualification designed for students with a background in Computing who are looking to specialise in Artificial Intelligence or Data Science.
You will be taught by academic staff who have a wealth of experience in industry, research and teaching. You will gain experience focussed on the latest developments in how AI systems work and discover what research or development opportunities are opening up. The course mixes practical development, opportunity discovery and innovative use, underpinned by core principles such as security, dependability, ethical usage and sustainability. If you are working in a profession where you can already see a potential for AI or Data Science this course can support your career development and AI journey.
Key features
The course equips you for a professional mastery in artificial intelligence and has the following features: - Modules that incorporate the latest research and contemporary ideas in the field
-
Structured learning that will take you from understanding basic concepts, to applying, testing and managing AI provision
-
A productive mix of practical application enhanced by an understanding of AI theory and an exploration of security and governance, corporate and social ethics, AI implementation strategy, and sustainable development goals
-
Teaching staff from a wealth of backgrounds including industrial and business applications as well as advanced research establishments
-
Hands on experience in exploring the latest technological and computing technologies, such as AI programming, autonomous systems and Internet of Things technologies
The placement (optional)
You will have the opportunity to go on a work placement for 6 or 12 months. You are supported in finding placements and can apply for a vacancy as you would a job. There are dedicated sessions to support you in CV writing, interview skills and job applications as well as access to 1:1 tutorials. Most placements start on completion of the taught modules.
The placement will allow you to gain first-hand experience within a real business environment to enhance your future employability and are usually paid. Some students choose to base their research project on a business-related issue arising during the placement. This would give you access to research participants and primary data, and allow you to apply the theories and principles discussed on the programme to a real organisation.
While on placement, you will be supported by a dedicated placements team able to respond to any problems you may be having, an individual tutor who visits you twice while you are on placement and you will retain access to all the University facilities including e-resources. At the end of the placement, you are required to submit a placement portfolio containing your learning contract, a satisfactory employer appraisal, a case study and an end of placement presentation.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Please see the University website for details |
| Location | Main Site Henwick Grove Worcester WR2 6AJ |
Summary
What makes studying an MSc in Artificial Intelligence at Worcester special?
Our Master of Science in Artificial Intelligence (MSc) program is a Postgraduate qualification designed for students with a background in Computing who are looking to specialise in Artificial Intelligence or Data Science.
You will be taught by academic staff who have a wealth of experience in industry, research and teaching. You will gain experience focussed on the latest developments in how AI systems work and discover what research or development opportunities are opening up. The course mixes practical development, opportunity discovery and innovative use, underpinned by core principles such as security, dependability, ethical usage and sustainability. If you are working in a profession where you can already see a potential for AI or Data Science this course can support your career development and AI journey.
Key features
The course equips you for a professional mastery in artificial intelligence and has the following features: - Modules that incorporate the latest research and contemporary ideas in the field
-
Structured learning that will take you from understanding basic concepts, to applying, testing and managing AI provision
-
A productive mix of practical application enhanced by an understanding of AI theory and an exploration of security and governance, corporate and social ethics, AI implementation strategy, and sustainable development goals
-
Teaching staff from a wealth of backgrounds including industrial and business applications as well as advanced research establishments
-
Hands on experience in exploring the latest technological and computing technologies, such as AI programming, autonomous systems and Internet of Things technologies
The placement (optional)
You will have the opportunity to go on a work placement for 6 or 12 months. You are supported in finding placements and can apply for a vacancy as you would a job. There are dedicated sessions to support you in CV writing, interview skills and job applications as well as access to 1:1 tutorials. Most placements start on completion of the taught modules.
The placement will allow you to gain first-hand experience within a real business environment to enhance your future employability and are usually paid. Some students choose to base their research project on a business-related issue arising during the placement. This would give you access to research participants and primary data, and allow you to apply the theories and principles discussed on the programme to a real organisation.
While on placement, you will be supported by a dedicated placements team able to respond to any problems you may be having, an individual tutor who visits you twice while you are on placement and you will retain access to all the University facilities including e-resources. At the end of the placement, you are required to submit a placement portfolio containing your learning contract, a satisfactory employer appraisal, a case study and an end of placement presentation.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Please see the University website for details |
| Location | Main Site Henwick Grove Worcester WR2 6AJ |
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