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Organisations all over the world are looking to data to transform how they work - from governments to supermarkets and Formula One teams. But what makes a great data scientist?
Exceptional data scientists don’t just find and present data. They’re problem-solvers, with the ability to think laterally. They’re critical thinkers, with deep attention to detail. They’re curious, and look beyond what the surface to test their assumptions and hunt down unexpected insights.
Our new MSc in Data Science will help you apply machine learning and deep learning methods to get real meaning from your data. It is designed as a conversion course - which means you don’t need a strong background in data science, statistics and computing to apply.
You’ll start with the building blocks of data science, and learn key programming languages such as Python and R. But we’ll also work on developing your critical mindset, encouraging you to adapt your knowledge to different problems and to and to explore, analyse, validate and explain your models.
You’ll learn from experts in the field – including computer scientists and statisticians – and develop specialist skills that will help you thrive in a data science role, working in tandem with colleagues from other backgrounds and disciplines.
This course has been designed in consultation with external organisations, who have guided us in selecting the most in-demand skills for data science graduates. You even have the opportunity to apply for a year in industry, and pick up first-hand experience of the modern workplace.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Organisations all over the world are looking to data to transform how they work - from governments to supermarkets and Formula One teams. But what makes a great data scientist?
Exceptional data scientists don’t just find and present data. They’re problem-solvers, with the ability to think laterally. They’re critical thinkers, with deep attention to detail. They’re curious, and look beyond what the surface to test their assumptions and hunt down unexpected insights.
Our new MSc in Data Science will help you apply machine learning and deep learning methods to get real meaning from your data. It is designed as a conversion course - which means you don’t need a strong background in data science, statistics and computing to apply.
You’ll start with the building blocks of data science, and learn key programming languages such as Python and R. But we’ll also work on developing your critical mindset, encouraging you to adapt your knowledge to different problems and to and to explore, analyse, validate and explain your models.
You’ll learn from experts in the field – including computer scientists and statisticians – and develop specialist skills that will help you thrive in a data science role, working in tandem with colleagues from other backgrounds and disciplines.
This course has been designed in consultation with external organisations, who have guided us in selecting the most in-demand skills for data science graduates. You even have the opportunity to apply for a year in industry, and pick up first-hand experience of the modern workplace.
Admission Requirements
110+
63+
6+
80+
A 2:2, 2:1 or First Class degree.
1 Year
Sep
Tuition fees
Domestic
10,000 GBP
International
23,500 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:
Data Science - MSc
Canterbury campus, Canterbury, United Kingdom
12 monthsProgramme duration
23,500 GBPTuition Fee/year
Data Science and Artificial IntelligenceMain Subject Area
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Organisations all over the world are looking to data to transform how they work - from governments to supermarkets and Formula One teams. But what makes a great data scientist?
Exceptional data scientists don’t just find and present data. They’re problem-solvers, with the ability to think laterally. They’re critical thinkers, with deep attention to detail. They’re curious, and look beyond what the surface to test their assumptions and hunt down unexpected insights.
Our new MSc in Data Science will help you apply machine learning and deep learning methods to get real meaning from your data. It is designed as a conversion course - which means you don’t need a strong background in data science, statistics and computing to apply.
You’ll start with the building blocks of data science, and learn key programming languages such as Python and R. But we’ll also work on developing your critical mindset, encouraging you to adapt your knowledge to different problems and to and to explore, analyse, validate and explain your models.
You’ll learn from experts in the field – including computer scientists and statisticians – and develop specialist skills that will help you thrive in a data science role, working in tandem with colleagues from other backgrounds and disciplines.
This course has been designed in consultation with external organisations, who have guided us in selecting the most in-demand skills for data science graduates. You even have the opportunity to apply for a year in industry, and pick up first-hand experience of the modern workplace.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Organisations all over the world are looking to data to transform how they work - from governments to supermarkets and Formula One teams. But what makes a great data scientist?
Exceptional data scientists don’t just find and present data. They’re problem-solvers, with the ability to think laterally. They’re critical thinkers, with deep attention to detail. They’re curious, and look beyond what the surface to test their assumptions and hunt down unexpected insights.
Our new MSc in Data Science will help you apply machine learning and deep learning methods to get real meaning from your data. It is designed as a conversion course - which means you don’t need a strong background in data science, statistics and computing to apply.
You’ll start with the building blocks of data science, and learn key programming languages such as Python and R. But we’ll also work on developing your critical mindset, encouraging you to adapt your knowledge to different problems and to and to explore, analyse, validate and explain your models.
You’ll learn from experts in the field – including computer scientists and statisticians – and develop specialist skills that will help you thrive in a data science role, working in tandem with colleagues from other backgrounds and disciplines.
This course has been designed in consultation with external organisations, who have guided us in selecting the most in-demand skills for data science graduates. You even have the opportunity to apply for a year in industry, and pick up first-hand experience of the modern workplace.
Admission Requirements
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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