London Metropolitan University

Course Introduction

**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.

Course Modules

Core modules include:

Data Analysis and Visualisation

Data Mining for Business Intelligence

Data Modelling and OLAP Techniques for Data Analytics

Statistical Modelling and Forecasting

Programming for Data Analytics

A Project

Optional module (choose one from):

Financial Mathematics

Work'related Learning

Start Date:

09/2018

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £8,345 Home Fees
1 year
Full Time
MSc £12,515 Overseas Fees
1 year
Part Time
MSc £930 Home Fees

Qualifications required:

  • You will be required to have a lower second class UK degree or equivalent in any discipline that involves an element of data analysis. Applicants with relevant professional experience will also be considered. All applicants must be able to demonstrate proficiency in the English language