Data Science and Analytics

Entry requirements

UK 2:1 Bachelor honours degree or equivalent in Computer Engineering, Computing, Computer Science Engineering, Software Engineering, Maths and Phsyics or other subjects that include a strong element of Maths, Physics, and other Engineering (excluding Civil, Mechanical, Material and Biomedical Engineering).

Candidates with professional qualifications or relevant professional experience in an associated area will also be considered.

Months of entry

September

Course content

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 17th in the UK for the quality of its research (Research Excellence Framework 2021), 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

Fees and funding

www.royalholloway.ac.uk/studying-here/fees-and-funding/