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Gain skills in vital areas of AI, including machine learning algorithms, neural computing, deep learning and Natural Language Processing (NLP).
Study in the Silicon Fen, known for its tech market and range of jobs in data science industry – the perfect opportunity to connect with top employers.
This course has been designed in response to the high demand for experts in machine learning, artificial intelligence learning, data analysis and modelling.
Experience hands-on learning with real-life data sets to practice skills required for the diverse AI industry.
In a world reliant on data to improve processes and monitor success, our Masters degree in Artificial Intelligence will help you gain the knowledge and skills to improve systems in your industry – or create better ones. It's been designed in response to the high demand for experts in data analysis and modelling.
Study at ARU in Cambridge and build on your existing skills. Our course is suitable for computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis. Before starting the course, we strongly recommended that you have basic programming knowledge of Python.
As well as our 12 and 20 month full-time courses, there is also the option to study with us for two years and gain valuable experience in Year 2, with a choice of professional experience modules.
The combined effect of the big volume of data availability on a global scale and a significant increase in processing power offered by technologies like cloud computing has made it possible to unlock the true potential of machine learning algorithms, extract features from data, and to expand the application domain of artificial intelligence.
The need to adapt and incorporate the ever-growing field of AI and its technologies into current business practices is putting pressure on industries to invest in their legacy systems. Supported by Intel’s AI Academy through their online and data processing resources, the skills you'll learn can be applied to AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design, and IT project management.
While you're studying with us in Cambridge, we'll encourage you to attend local meetings and lectures organised by the IET and BCS, some of which are hosted by ARU. This exposes you to engineers from local industries and introduces you to 'what's hot' in technology.
If you do not have a degree in computing but are interested in studying this subject at postgraduate level, we also offer an MSc Applied Data Science. This conversion course will take you through the major building blocks of data science and help you graduate ready for a career in computing.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Why Artificial Intelligence at ARU?
Gain skills in vital areas of AI, including machine learning algorithms, neural computing, deep learning and Natural Language Processing (NLP).
Study in the Silicon Fen, known for its tech market and range of jobs in data science industry – the perfect opportunity to connect with top employers.
This course has been designed in response to the high demand for experts in machine learning, artificial intelligence learning, data analysis and modelling.
Experience hands-on learning with real-life data sets to practice skills required for the diverse AI industry.
In a world reliant on data to improve processes and monitor success, our Masters degree in Artificial Intelligence will help you gain the knowledge and skills to improve systems in your industry – or create better ones. It's been designed in response to the high demand for experts in data analysis and modelling.
Study at ARU in Cambridge and build on your existing skills. Our course is suitable for computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis. Before starting the course, we strongly recommended that you have basic programming knowledge of Python.
As well as our 12 and 20 month full-time courses, there is also the option to study with us for two years and gain valuable experience in Year 2, with a choice of professional experience modules.
The combined effect of the big volume of data availability on a global scale and a significant increase in processing power offered by technologies like cloud computing has made it possible to unlock the true potential of machine learning algorithms, extract features from data, and to expand the application domain of artificial intelligence.
The need to adapt and incorporate the ever-growing field of AI and its technologies into current business practices is putting pressure on industries to invest in their legacy systems. Supported by Intel’s AI Academy through their online and data processing resources, the skills you'll learn can be applied to AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design, and IT project management.
While you're studying with us in Cambridge, we'll encourage you to attend local meetings and lectures organised by the IET and BCS, some of which are hosted by ARU. This exposes you to engineers from local industries and introduces you to 'what's hot' in technology.
If you do not have a degree in computing but are interested in studying this subject at postgraduate level, we also offer an MSc Applied Data Science. This conversion course will take you through the major building blocks of data science and help you graduate ready for a career in computing.
Admission Requirements
2.7+
61+
88+
6.5+
120+
176+
Main A first degree, with honours, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject. If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 ( Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
Notes In order for you to gain the full benefits from this advanced Masters course in AI, it is strongly recommended that you ensure that you have some basic programming knowledge of Python prior to the start of your course.
Alternatives If you have an unrelated honours degree (2.2 or above) or a foundation degree in Computing, plus work experience at a suitable level, you may be considered on an individual basis. Applicants may be invited for interview to determine their suitability for the course.
1 Year
Sep
Tuition fees
Domestic
11,700 GBP
International
19,500 GBP
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
MSc Artificial Intelligence
Cambridge Campus, Cambridge, United Kingdom
12 monthsProgramme duration
19,500 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In a world reliant on data to improve processes and monitor success, our Masters degree in Artificial Intelligence will help you gain the knowledge and skills to improve systems in your industry – or create better ones. It's been designed in response to the high demand for experts in data analysis and modelling.
Study at ARU in Cambridge and build on your existing skills. Our course is suitable for computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis. Before starting the course, we strongly recommended that you have basic programming knowledge of Python.
As well as our 12 and 20 month full-time courses, there is also the option to study with us for two years and gain valuable experience in Year 2, with a choice of professional experience modules.
The combined effect of the big volume of data availability on a global scale and a significant increase in processing power offered by technologies like cloud computing has made it possible to unlock the true potential of machine learning algorithms, extract features from data, and to expand the application domain of artificial intelligence.
The need to adapt and incorporate the ever-growing field of AI and its technologies into current business practices is putting pressure on industries to invest in their legacy systems. Supported by Intel’s AI Academy through their online and data processing resources, the skills you'll learn can be applied to AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design, and IT project management.
While you're studying with us in Cambridge, we'll encourage you to attend local meetings and lectures organised by the IET and BCS, some of which are hosted by ARU. This exposes you to engineers from local industries and introduces you to 'what's hot' in technology.
If you do not have a degree in computing but are interested in studying this subject at postgraduate level, we also offer an MSc Applied Data Science. This conversion course will take you through the major building blocks of data science and help you graduate ready for a career in computing.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
In a world reliant on data to improve processes and monitor success, our Masters degree in Artificial Intelligence will help you gain the knowledge and skills to improve systems in your industry – or create better ones. It's been designed in response to the high demand for experts in data analysis and modelling.
Study at ARU in Cambridge and build on your existing skills. Our course is suitable for computer scientists, software engineers, IT professionals or established professionals in the areas of computing, mathematics and/or data analysis. Before starting the course, we strongly recommended that you have basic programming knowledge of Python.
As well as our 12 and 20 month full-time courses, there is also the option to study with us for two years and gain valuable experience in Year 2, with a choice of professional experience modules.
The combined effect of the big volume of data availability on a global scale and a significant increase in processing power offered by technologies like cloud computing has made it possible to unlock the true potential of machine learning algorithms, extract features from data, and to expand the application domain of artificial intelligence.
The need to adapt and incorporate the ever-growing field of AI and its technologies into current business practices is putting pressure on industries to invest in their legacy systems. Supported by Intel’s AI Academy through their online and data processing resources, the skills you'll learn can be applied to AI-enabled business strategies and marketing, management of database records, e-business technologies, IT system development and design, and IT project management.
While you're studying with us in Cambridge, we'll encourage you to attend local meetings and lectures organised by the IET and BCS, some of which are hosted by ARU. This exposes you to engineers from local industries and introduces you to 'what's hot' in technology.
If you do not have a degree in computing but are interested in studying this subject at postgraduate level, we also offer an MSc Applied Data Science. This conversion course will take you through the major building blocks of data science and help you graduate ready for a career in computing.
Admission Requirements
A first degree, with honours, at a minimum final classification of Lower Second (2.2), or equivalent, in a Computing, Electronics, Mathematics or Statistics subject. If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 ( Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
Notes In order for you to gain the full benefits from this advanced Masters course in AI, it is strongly recommended that you ensure that you have some basic programming knowledge of Python prior to the start of your course.
Alternatives
If you have an unrelated honours degree (2.2 or above) or a foundation degree in Computing, plus work experience at a suitable level, you may be considered on an individual basis. Applicants may be invited for interview to determine their suitability for the course.
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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MBA Digital Marketing
MBA Digital Marketing
MBA Entrepreneurship
MBA Entrepreneurship
MBA FinTech and Data Analytics
MBA FinTech and Data Analytics
MBA Healthcare Management
MBA Healthcare Management
MBA Master of Business Administration
MBA Master of Business Administration
MBA Master of Business Administration - Health and Social Care
MBA Master of Business Administration - Health and Social Care
MBA Master of Business Administration - International
MBA Master of Business Administration - International
Part-Time MBA (2)
MBA Educational Leadership and Management
MBA Educational Leadership and Management
Arts and Humanities (6)
Art and Design PhD
Art and Design PhD
Children's Book Illustration PhD
Children's Book Illustration PhD
Creative Writing PhD
Creative Writing PhD
Dramatherapy PhD
Dramatherapy PhD
English Language and Intercultural Communication PhD
English Language and Intercultural Communication PhD
English Language and Linguistics PhD
English Language and Linguistics PhD
English Literature PhD
Fine Art MPhil, PhD
Graphic Design and Typography MPhil, PhD
History PhD
Musicology PhD
Philosophy PhD
Professional Doctorate in Practical Theology DProf
Publishing PhD
Theatre, Drama and Performance PhD
Theology PhD
Business and Management (6)
Business PhD - School of Economics, Finance and Law PhD
Business PhD - School of Economics, Finance and Law PhD
Business PhD - School of Management PhD
Business PhD - School of Management PhD
Professional Doctorate in Business and Management DBA
Professional Doctorate in Business and Management DBA
Engineering and Technology (6)
Computing and Information Science PhD
Computing and Information Science PhD
Engineering and the Built Environment PhD
Engineering and the Built Environment PhD
Professional Doctorate in Science and Engineering DProf
Professional Doctorate in Science and Engineering DProf
Life Sciences and Medicine (6)
Allied Health and Social Care PhD
Allied Health and Social Care PhD
Audiology and Hearing Disability Research PhD
Audiology and Hearing Disability Research PhD
Biology PhD
Biology PhD
Biomedical Science PhD
Biomedical Science PhD
Doctor of Medicine by Research MD (Res)
Doctor of Medicine by Research MD (Res)
Midwifery and Community Health PhD
Midwifery and Community Health PhD
Music Therapy PhD
Nursing PhD
Optometry and Vision Sciences PhD
Professional Doctorate in Health and Social Care DProf
Psychology PhD
Writtle School of Agriculture, Animal and Environmental Sciences PhD
Natural Sciences (6)
Sustainability PhD
Sustainability PhD
Social Sciences and Management (6)
Criminology PhD
Criminology PhD
Film Studies and Media Studies MPhil, PhD
Film Studies and Media Studies MPhil, PhD
Film and Television Production PhD
Film and Television Production PhD
Forensic & Investigative Sciences MPhil, PhD
Forensic & Investigative Sciences MPhil, PhD
International Relations PhD
International Relations PhD
Law PhD
Law PhD
Professional Doctorate in Education EdD
School of Education PhD
Sociology PhD
Sport and Exercise Sciences PhD