Royal Holloway, University of London

Course Introduction

In this course 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. 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 academic 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 upon 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.

By choosing to spend a year in industry, you will take on real responsibilities and gain valuable experience, developing transferable skills which will increase your employability. Our students have been placed in companies such as Autilla, Axonix, BGL Group, Cartesian, Centrica, Choosic, Data Reply, D4t4 Solutions, Disney, Foward3D, Gamesys, HACT, I. S. Solutions, Jacobs, Jaguar Land Rover, Lindgreen Labs, Microlise, Neural Technologies, ONS, QuintilesIMS, Rolls Royce, Shell, Société Générale, Standard Chartered, Statiq, Thomas Cook, Triometric, UBS, VMware, World Remit, and the Z/Yen Group, among others. The large majority were offered jobs at the end of their placement.

Duration & Attendance Qualification Tuition fees Fee type
2 years
Full Time
MSc £11,300 Home Fees
2 years
Full Time
MSc £11,300 European Fees
2 years
Full Time
MSc £20,500 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Students need to have a 2:1 in 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 entry requirements: Students will 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.