Overview
How can AI and machine learning help us make better decisions in healthcare, finance and beyond? You’ll learn key techniques in data analysis and explore the ethical and social impact of data use. Study with pioneers in AI. Royal Holloway University of London has been instrumental in developing the Conformal Prediction methods that provide reliable confidence measures for machine learning models. You’ll work with real-world datasets, building hands-on skills in Python programming, data visualisation, statistics, and software tools used across the industry.
Shape your skills toolkit
Master data analysis, machine learning, and visualisation and complete a dissertation or final project to showcase your expertiseGain practical experience with real-world datasets and the tools you’ll use in your future careerLearn from AI and machine learning experts, including pioneers in this fieldIndustry connections and career prospects
Based near an area known as ‘England’s Silicon Valley’, Royal Holloway offers links to major tech firms and potential placement opportunities.The department has a rich history in the development of machine learning and an extensive network of industry contacts.Graduates of Applied Data Science have gone on to work at Amazon, Google and JP Morgan. Typical roles include data scientist, quantitative analyst and big data engineer.Programme Structure
Courses include:
- Computing for Data Analysis
- Multi-dimensional Data Processing
- Research Methods
- Applications of Data Science
- Methods of Visualisation and Exploratory Analysis
- Ethics in Advanced Computing and Artificial Intelligence
- Individual Project in Applied Data Science
- Academic Integrity
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- UK 2:2 Bachelor honours degree or equivalent within a STEM subject.
- STEM subjects include: Accounting, Aeronautical and Aerospace Engineering, Architecture, Artificial Intelligence, Astronomy, Biological Sciences, Biomedical Sciences, Chemical Engineering, Chemistry, Civil Engineering, Computer Science, Economics, Electrical and Electronic Engineering, Finance, Information Technology, Mathematics, Mechanical Engineering, Medicine, Natural Sciences, Paramedic Science, Pharmacology and Pharmacy, Physics, Psychology, Statistics, Web Development.
Tuition Fees
-
International Applies to you
Applies to youNon-residents29300 GBP / year≈ 29300 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents14900 GBP / year≈ 14900 GBP / year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Applied Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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