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Master advanced data science tools and techniques and learn to apply them across a range of industries, with our Applied Data Science conversion UK degree in Cambridge.
Why Applied Data Science at ARU?
Study in the Silicon Fen, known for its tech innovation, and take advantage of ample career opportunities in data science within a vibrant and diverse industry hub.
Gain skills in vital areas like data mining, machine learning, and statistical modelling, ensuring a well-rounded grasp of data science.
Engage with real-world cases and industry projects when you study for a Masters degree in Data Science that equips you with practical skills aligned with current industry needs.
Transition into data science whatever your experience – no computing or data-related degree required.
Experience hands-on learning, including projects and in-depth exploration, fostering practical application of data science principles.
Data science promises to enhance technology, business models, and decision-making across a range of sectors – from manufacturing to social care; and cyber security to banking.
There’s a strong demand for data scientists. Our Applied Data Science Masters degree will give you the knowledge and analytical skills you need to join this rapidly growing sector.
As the MSc Data Science conversion course enables you to convert your undergrad degree, you don’t need a degree in computing or data science to apply.
Study at ARU in the centre of Cambridge, and benefit from a week-long placement as part of your course.
Our MSc Applied Data Science degree takes you, step by step, through the major building blocks of data science.
By studying at ARU, you’ll gain highly marketable skills such as programming, data acquisition and cleaning, data analysis and feature extraction, data visualization, data mining, and machine learning. You’ll become proficient in advanced data science tools and techniques too – such as deep learning and predictive models – and learn about artificial intelligence.
And finally, you’ll complete a data science research project, based on your real-life experiences of working in a part of our University.
We’re always focused on the needs of industry and the real-world application of data science. And so, we incorporate real datasets and industry-simulated projects into our course modules. You’ll find this helps you to understand the challenges and constraints that organisations face – and hone your skills and expertise accordingly.
As a graduate, you’ll be ready to apply your data science skills to a range of careers.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Master advanced data science tools and techniques and learn to apply them across a range of industries, with our Applied Data Science conversion UK degree in Cambridge.
Why Applied Data Science at ARU?
Study in the Silicon Fen, known for its tech innovation, and take advantage of ample career opportunities in data science within a vibrant and diverse industry hub.
Gain skills in vital areas like data mining, machine learning, and statistical modelling, ensuring a well-rounded grasp of data science.
Engage with real-world cases and industry projects when you study for a Masters degree in Data Science that equips you with practical skills aligned with current industry needs.
Transition into data science whatever your experience – no computing or data-related degree required.
Experience hands-on learning, including projects and in-depth exploration, fostering practical application of data science principles.
Data science promises to enhance technology, business models, and decision-making across a range of sectors – from manufacturing to social care; and cyber security to banking.
There’s a strong demand for data scientists. Our Applied Data Science Masters degree will give you the knowledge and analytical skills you need to join this rapidly growing sector.
As the MSc Data Science conversion course enables you to convert your undergrad degree, you don’t need a degree in computing or data science to apply.
Study at ARU in the centre of Cambridge, and benefit from a week-long placement as part of your course.
Our MSc Applied Data Science degree takes you, step by step, through the major building blocks of data science.
By studying at ARU, you’ll gain highly marketable skills such as programming, data acquisition and cleaning, data analysis and feature extraction, data visualization, data mining, and machine learning. You’ll become proficient in advanced data science tools and techniques too – such as deep learning and predictive models – and learn about artificial intelligence.
And finally, you’ll complete a data science research project, based on your real-life experiences of working in a part of our University.
We’re always focused on the needs of industry and the real-world application of data science. And so, we incorporate real datasets and industry-simulated projects into our course modules. You’ll find this helps you to understand the challenges and constraints that organisations face – and hone your skills and expertise accordingly.
As a graduate, you’ll be ready to apply your data science skills to a range of careers.
Admission Requirements
6.5+
61+
88+
2.7+
120+
176+
A first degree, with honours, at a minimum final classification of Lower Second (2:2) or equivalent. 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- with no individual score being lower than 5.5) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
1 Year
Sep
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
10,300 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 Applied Data Science (Conversion)
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
Master advanced data science tools and techniques and learn to apply them across a range of industries, with our Applied Data Science conversion UK degree in Cambridge.
Why Applied Data Science at ARU?
Data science promises to enhance technology, business models, and decision-making across a range of sectors – from manufacturing to social care; and cyber security to banking.
There’s a strong demand for data scientists. Our Applied Data Science Masters degree will give you the knowledge and analytical skills you need to join this rapidly growing sector.
As the MSc Data Science conversion course enables you to convert your undergrad degree, you don’t need a degree in computing or data science to apply.
Study at ARU in the centre of Cambridge, and benefit from a week-long placement as part of your course.
Our MSc Applied Data Science degree takes you, step by step, through the major building blocks of data science.
By studying at ARU, you’ll gain highly marketable skills such as programming, data acquisition and cleaning, data analysis and feature extraction, data visualization, data mining, and machine learning. You’ll become proficient in advanced data science tools and techniques too – such as deep learning and predictive models – and learn about artificial intelligence.
And finally, you’ll complete a data science research project, based on your real-life experiences of working in a part of our University.
We’re always focused on the needs of industry and the real-world application of data science. And so, we incorporate real datasets and industry-simulated projects into our course modules. You’ll find this helps you to understand the challenges and constraints that organisations face – and hone your skills and expertise accordingly.
As a graduate, you’ll be ready to apply your data science skills to a range of careers.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Master advanced data science tools and techniques and learn to apply them across a range of industries, with our Applied Data Science conversion UK degree in Cambridge.
Why Applied Data Science at ARU?
Data science promises to enhance technology, business models, and decision-making across a range of sectors – from manufacturing to social care; and cyber security to banking.
There’s a strong demand for data scientists. Our Applied Data Science Masters degree will give you the knowledge and analytical skills you need to join this rapidly growing sector.
As the MSc Data Science conversion course enables you to convert your undergrad degree, you don’t need a degree in computing or data science to apply.
Study at ARU in the centre of Cambridge, and benefit from a week-long placement as part of your course.
Our MSc Applied Data Science degree takes you, step by step, through the major building blocks of data science.
By studying at ARU, you’ll gain highly marketable skills such as programming, data acquisition and cleaning, data analysis and feature extraction, data visualization, data mining, and machine learning. You’ll become proficient in advanced data science tools and techniques too – such as deep learning and predictive models – and learn about artificial intelligence.
And finally, you’ll complete a data science research project, based on your real-life experiences of working in a part of our University.
We’re always focused on the needs of industry and the real-world application of data science. And so, we incorporate real datasets and industry-simulated projects into our course modules. You’ll find this helps you to understand the challenges and constraints that organisations face – and hone your skills and expertise accordingly.
As a graduate, you’ll be ready to apply your data science skills to a range of careers.
Admission Requirements
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- with no individual score being lower than 5.5) or equivalent English Language qualification, as recognised by Anglia Ruskin University.
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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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