The importance of Big Data grows year on year, with sectors including healthcare, manufacture, retail, administration and more reliant on the insights that accurate data capture and analysis can provide. Study Data Science and Analytics at Royal Holloway, University of London and you’ll develop the practical skills needed to handle and analyse data in a wide variety of fields, preparing you for a rewarding career in Big Data.
You’ll study in a department with a strong reputation for research excellence. The Department of Computer Science was ranked 11th in the UK for the quality of its research publications (Research Excellence Framework 2014), and you’ll have the opportunity to contribute to this leading research culture with your own Individual Project.
This flexible programme gives you the chance to tailor your learning to your own strengths and interests, with a broad range of optional modules including Online Machine Learning, Methods of Bioinformatics and Microeconometrics providing scope and variety. You’ll be well-equipped to continue your studies at PhD level, which will place you in a strong position to pursue more advanced, research-based roles after graduation.
Skills that you will acquire include the ability to:
work with methods and techniques such as clustering, regression, support vector machines, boosting, decision trees, and neural networks
work with structured, unstructured, and time-series data
work with software packages such as MATLAB and R
design data processing solutions for data-intensive analytics problems
work with modern tools for massively distributed data processing, such as Hadoop and Pig, and Cloud Computing tools such as Amazon S3, EC2 and Elastic MapReduce
design Extract-Transfer-Load (ETL) pipelines
design Data Warehousing and Decision Support System (DSS) solutions
work with highly-scalable data-storage solutions, such as MongoDB, Cassandra, HBase, and other NoSQL Data Stores
work with data-intensive computing technologies, such as Hadoop MapReduce, Spark, Hive, and Pig
work with Cloud Computing tools, such as Amazon S3, EC2 and Elastic MapReduce
Follow your passion for Data Science and Analytics at Royal Holloway and you’ll graduate with a desirable Masters degree from a highly regarded department, as well as transferable skillset that’s both in short supply and in high demand by employers. Our location near the M4 corridor – also known as ‘England’s Silicon Valley’ – means students can benefit from networking and placement opportunities with some of the country’s top technology institutions.
Benefit from strong industry ties, with close proximity to ‘England’s Silicon Valley’
Graduate with a Master’s degree leading to excellent graduate employability prospects.
Tailor your learning with a wide range of engaging optional modules
Choose from a one-year programme structure or add an optional year in industry
From time to time, we make changes to our courses to improve the student and learning experience, and this is particularly the case as we continue to respond to the Covid-19 pandemic. If we make a significant change to your chosen course, we’ll let you know as soon as we can.
2:1
Computer Science, Economics, Mathematics, Physics, or other subjects that include a strong element of both mathematics and computing.
Normally we require a UK 2:1 (Honours) or equivalent in relevant subjects but we will consider high 2:2 or relevant work experience. Candidates with professional qualifications in an associated area may be considered. Where a ‘good 2:2’ is considered, we would normally define this as reflecting a profile of 57% or above.
International & EU requirements
English language requirements
All teaching at Royal Holloway is in English. You will therefore need to have good enough written and spoken English to cope with your studies right from the start.
The scores we require
IELTS: 6.5 overall. No subscore lower than 5.5.
Pearson Test of English: 61 overall. Writing 54. No subscore lower than 51.
Trinity College London Integrated Skills in English (ISE): ISE III.
Country-specific requirements
For more information about country-specific entry requirements for your country please see here.
For fees and funding options, please visit website to find out more
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