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City St George's, University of London (formally City)
Data Science Apprenticeship MSc
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Data Science Apprenticeship MSc
Northampton Square, London, United Kingdom
27 monthsProgram duration
31 Aug, 2024Application Deadline
YesScholarships
Data Science and Artificial IntelligenceMain Subject Area
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This unique apprenticeship programme aims to prepare you with the knowledge and values you need for a technical career as a data scientist. During your course you’ll gain leadership skills to enable you to manage complex data science projects to help progress...
Read more
This unique apprenticeship programme aims to prepare you with the knowledge and values you need for a technical career as a data scientist. During your course you’ll gain leadership skills to enable you to manage complex data science projects to help progress your career.
The benefits of this course are many and varied. You will build knowledge of the data science field, explore data visualisation and focus on machine learning, as this is of high value to employers within the sector.
You will also have access to our world-leading centre for data visualisation where you’ll be exposed to the latest developments on presenting and communicating your data analysis – a highly sought-after skill.
Read lessProgram overview
Main Subject
Data Science and Artificial Intelligence
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This unique apprenticeship programme aims to prepare you with the knowledge and values you need for a technical career as a data scientist. During your course you’ll gain leadership skills to enable you to manage complex data science projects to help progress...
Read more
This unique apprenticeship programme aims to prepare you with the knowledge and values you need for a technical career as a data scientist. During your course you’ll gain leadership skills to enable you to manage complex data science projects to help progress your career.
The benefits of this course are many and varied. You will build knowledge of the data science field, explore data visualisation and focus on machine learning, as this is of high value to employers within the sector.
You will also have access to our world-leading centre for data visualisation where you’ll be exposed to the latest developments on presenting and communicating your data analysis – a highly sought-after skill.
Read lessAdmission Requirements
You should have a UK first or an upper second-class honours degree (or equivalent) in a subject area such as computing, mathematics, physics, engineering, information science, economics, or a related discipline with mathematical and computational content.
We will also accept applicants with degrees in business, economics, psychology and health, if they demonstrate some statistical, mathematical and computer scripting aptitude, e.g. by referring to qualifications, courses and experience.
We may accept a lower class degree with relevant work experience, but this is at our discretion. We recommend your personal statement explains why you are interested in Data Science, points to relevant experience and indicates which particular aspects of our course interest you.
You will require:
- Level 2 qualification in English and Mathematics (usually GCSE)
- Employment within an organisation that support your enrolment in the degree as part of your Digital and Technology Solutions Specialist (Data Analytics Specialist) training.
You must be a UK or EU national with the right to work in the UK. The Apprenticeship Levy covers roles in organisations in England.Tuition Fee and Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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