23Jan
PostgraduateCourse summary
Why study this course? On our Data Analytics MSc you'll be introduced to subjects including data mining, statistical modelling, business intelligence and data visualisation. The course has been developed with direct input from industry experts who’ll present you with real-life business cases as part of your work-related learning. By the end of the MSc degree, you’ll be ready to apply for rewarding roles in the data science and big data industries, as well as the many sectors and organisations that increasingly require data analysts. More about this course This postgraduate course will equip you with the theoretical, technical and practical skills required to become a data analyst. With an expert teaching team, access to specialist software and work on real-life business cases, you’ll be well prepared for a career in data analytics upon graduation. The modules on this course have been developed with the help of industry professionals, some of whom will be present to teach you in specific classes. These experts will help you explore advanced techniques in data science. You'll study specialist subjects including financial mathematics, statistical modelling and forecasting, as well as having the chance to develop your own unique piece of work in the MSc Project module. You’ll also be trained to use specialist software tools and environments currently used by professionals in industry. For example, you’ll have access to R and Python programming, IBM SPSS, SAS®, Tableau, Oracle and Hadoop. Familiarity with these tools will greatly enhance your employability upon graduation. Our skilled professionals will expose you to real-life business case scenarios. For example, past students have worked on data warehouse projects with Lloyds Bank. This ensures you’ll develop practical skills and become familiar with the kind of challenges you could face in data analyst roles.
Modules
Example Core modules include: Data Warehousing and Big Data Data Analysis and Visualisation Data Mining and Machine Learning Statistical Modelling and Forecasting Programming for Data Analytics MSc Project Optional module (choose one from): Financial Mathematics Work-related Learning
Assessment method
You'll be assessed through written reports, practical and research assignments, demonstrations, presentations, group work and examinations.
Entry requirements
You'll be required to have a lower second class UK degree or equivalent in any discipline that involves an element of data analysis. In addition, you will be considered with an upper second class UK degree in a non-mathematics or computing discipline where an element of data analysis can be demonstrated. Applicants with relevant professional experience will also be considered. All applicants must be able to demonstrate proficiency in the English language.
Fees and funding
Tuition fees
| England | £1170 | Module |
| Northern Ireland | £1170 | Module |
| Scotland | £1170 | Module |
| Wales | £1170 | Module |
| EU | £2020 | Module |
| International | £2020 | Module |
| Channel Islands | £2020 | Module |
| Republic of Ireland | £2020 | Module |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Please note, in addition to the tuition fee there may be additional costs for things like equipment, materials, printing, textbooks, trips or professional body fees. Additionally, there may be other activities that are not formally part of your course and not required to complete your course, but which you may find helpful (for example, optional field trips). The costs of these are additional to your tuition fee and the fees set out above and will be notified when the activity is being arranged.
Provider information
London Metropolitan University
Admissions Office
166-220 Holloway Road
City of London
N7 8DB