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University of Surrey: Artificial Intelligence
| Institution | University of Surrey View institution profile |
|---|---|
| Department | Electrical and Electronic Engineering |
| Web | www.surrey.ac.uk |
| admissions@surrey.ac.uk | |
| Telephone | +44(0)1483 682222 |
| Study type | Taught |
MSc
Summary
**Why choose this course**
Our Artificial Intelligence MSc stands apart as the sole programme of its kind in the UK. It is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. On this programme, you will study:
- Technical subjects, such as computer vision, natural language processing and audio analysis, to develop strong technical expertise
- Application-specific areas, such as health and the metaverse, to ensure you develop specialised knowledge in emerging AI fields
- Regulatory and legal aspects of AI, to equip you with a critical understanding of the ethical and legal considerations that will shape the future of AI.
The growth of AI is rapidly changing the way we live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
This course will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
**What you will study**
This one-year full-time MSc will teach you about fundamental AI concepts and the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications. You’ll gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by our School of Computer Science and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You’ll also undertake a year-long project on an AI topic that interests you. You’ll be supervised throughout the project by an academic specialising in your chosen subject area.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element. |
Summary
**Why choose this course**
Our Artificial Intelligence MSc stands apart as the sole programme of its kind in the UK. It is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. On this programme, you will study:
- Technical subjects, such as computer vision, natural language processing and audio analysis, to develop strong technical expertise
- Application-specific areas, such as health and the metaverse, to ensure you develop specialised knowledge in emerging AI fields
- Regulatory and legal aspects of AI, to equip you with a critical understanding of the ethical and legal considerations that will shape the future of AI.
The growth of AI is rapidly changing the way we live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
This course will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
**What you will study**
This one-year full-time MSc will teach you about fundamental AI concepts and the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications. You’ll gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by our School of Computer Science and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You’ll also undertake a year-long project on an AI topic that interests you. You’ll be supervised throughout the project by an academic specialising in your chosen subject area.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element. |
Summary
**Why choose this course**
Our Artificial Intelligence MSc stands apart as the sole programme of its kind in the UK. It is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. On this programme, you will study:
- Technical subjects, such as computer vision, natural language processing and audio analysis, to develop strong technical expertise
- Application-specific areas, such as health and the metaverse, to ensure you develop specialised knowledge in emerging AI fields
- Regulatory and legal aspects of AI, to equip you with a critical understanding of the ethical and legal considerations that will shape the future of AI.
The growth of AI is rapidly changing the way we live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
This course will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
**What you will study**
This one-year full-time MSc will teach you about fundamental AI concepts and the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications. You’ll gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by our School of Computer Science and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You’ll also undertake a year-long project on an AI topic that interests you. You’ll be supervised throughout the project by an academic specialising in your chosen subject area.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element. |
Summary
**Why choose this course**
Our Artificial Intelligence MSc stands apart as the sole programme of its kind in the UK. It is designed to provide students with a comprehensive understanding of artificial intelligence (AI) by incorporating a wide range of core topics. On this programme, you will study:
- Technical subjects, such as computer vision, natural language processing and audio analysis, to develop strong technical expertise
- Application-specific areas, such as health and the metaverse, to ensure you develop specialised knowledge in emerging AI fields
- Regulatory and legal aspects of AI, to equip you with a critical understanding of the ethical and legal considerations that will shape the future of AI.
The growth of AI is rapidly changing the way we live, work and learn. However, there’s a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
This course will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
**What you will study**
This one-year full-time MSc will teach you about fundamental AI concepts and the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in key AI topics and applications. You’ll gain experience with cutting-edge tools such as deep neural networks (DNN), recurrent neural networks (RNN) and deep reinforcement learning (deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by our School of Computer Science and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You’ll also undertake a year-long project on an AI topic that interests you. You’ll be supervised throughout the project by an academic specialising in your chosen subject area.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element. |
Summary
**Why choose this course**
The University of Surrey’s new MSc in Artifical Intelligence (AI) is the only course of its kind in the UK. It covers the three most important aspects of AI – vision, speech and 5G – each backed up by a world-leading research group at Surrey. The course also encompasses the business, regulation and ethics aspects of modern AI.
AI is rapidly changing the way we live, work and learn. However, there’s currently a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
Studying on Surrey’s MSc will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
**What you will study**
The one-year full-time MSc will teach you the fundamental AI concepts, the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in all three key AI topics: vision, speech and 5G. You’ll gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN) and Deep Reinforcement Learning (Deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by the Department of Electrical and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You will also undertake a year-long project on an AI topic that interests you. You will be supervised throughout the project by an academic specialising in your chosen subject area.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element. |
Summary
**Why choose this course**
The University of Surrey’s new MSc in Artifical Intelligence (AI) is the only course of its kind in the UK. It covers the three most important aspects of AI – vision, speech and 5G – each backed up by a world-leading research group at Surrey. The course also encompasses the business, regulation and ethics aspects of modern AI.
AI is rapidly changing the way we live, work and learn. However, there’s currently a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
Studying on Surrey’s MSc will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
**What you will study**
The one-year full-time MSc will teach you the fundamental AI concepts, the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in all three key AI topics: vision, speech and 5G. You’ll gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN) and Deep Reinforcement Learning (Deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by the Department of Electrical and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You will also undertake a year-long project on an AI topic that interests you. You will be supervised throughout the project by an academic specialising in your chosen subject area.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element. |
Summary
**Why choose this course**
The University of Surrey’s new MSc in Artifical Intelligence (AI) is the only course of its kind in the UK. It covers the three most important aspects of AI – vision, speech and 5G – each backed up by a world-leading research group at Surrey. The course also encompasses the business, regulation and ethics aspects of modern AI.
AI is rapidly changing the way we live, work and learn. However, there’s currently a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
Studying on Surrey’s MSc will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
**What you will study**
The one-year full-time MSc will teach you the fundamental AI concepts, the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in all three key AI topics: vision, speech and 5G. You’ll gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN) and Deep Reinforcement Learning (Deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by the Department of Electrical and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You will also undertake a year-long project on an AI topic that interests you. You will be supervised throughout the project by an academic specialising in your chosen subject area.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element. |
Summary
**Why choose this course**
The University of Surrey’s new MSc in Artifical Intelligence (AI) is the only course of its kind in the UK. It covers the three most important aspects of AI – vision, speech and 5G – each backed up by a world-leading research group at Surrey. The course also encompasses the business, regulation and ethics aspects of modern AI.
AI is rapidly changing the way we live, work and learn. However, there’s currently a real shortage of AI talent worldwide, both to serve the industry and to drive future research.
Studying on Surrey’s MSc will enable you to capitalise on the wide spectrum of career opportunities provided by AI, preparing you to work in industry, take an entrepreneurial route or pursue further research.
**What you will study**
The one-year full-time MSc will teach you the fundamental AI concepts, the universal machine learning tools essential for any AI job role, as well as specific practical and research skills in all three key AI topics: vision, speech and 5G. You’ll gain experience with cutting-edge tools such as Deep Neural Networks (DNN), Recurrent Neural Networks (RNN) and Deep Reinforcement Learning (Deep RL) through regular hands-on exercises and practical labs.
The course consists of technical modules delivered by the Department of Electrical and Electronic Engineering, along with the opportunity to take related modules in business or law and ethics. You will also undertake a year-long project on an AI topic that interests you. You will be supervised throughout the project by an academic specialising in your chosen subject area.
| Level | RQF Level 7 |
|---|---|
| Entry requirements | A minimum of a 2:2 UK honours degree in communication engineering, computer engineering, computer science, electronic and computer engineering, electronic engineering, information and communication technologies, information systems engineering, maths, physics, telecommunication engineering, or a recognised equivalent international qualification. We'll also consider relevant work experience if you don't meet these requirements. IELTS Academic: 6.5 overall with 6.0 in Writing and 5.5 in each other element. |
Overview
Welcome to the University of Surrey, a global community of more than 16,000 students from 140 countries.
We’re based in the popular town of Guildford, just 35 minutes from central London by train. Our beautiful, green campus is home to outstanding learning facilities in every faculty, plus a comprehensive range of student services, a wide choice of accommodation and dedicated support for international students, to help you make the most of university life.
Master’s programmes
At Surrey, we want to shape the world for the better. If you’re considering postgraduate study, it’s likely you do too.
We have three …
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