Data Analytics - MSc

Postgraduate

In London

Price on request

Description

  • Type

    Postgraduate

  • Location

    London

  • Duration

    1 Year

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.

Facilities

Location

Start date

London
See map
31 Jewry Street, EC3N 2EY

Start date

On request

About 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.

a 2:2 UK degree (or equivalent) in any discipline that involves an element of data analysis (applicants with relevant professional experience will also be considered)

Our Data Analytics MSc degree has been accredited with partial CITP status by BCS, The Chartered Institute for IT. This accreditation is a mark of assurance that the degree meets the standards set by BCS. As a graduate of this course, accreditation will also entitle you to professional membership of BCS, which is an important part of the criteria for achieving Chartered IT Professional (CITP) status through the Institute.

The course has also achieved partial CENG status by BCS on behalf of the Engineering Council. Accreditation is a mark of assurance that the degree meets the standards set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC). An accredited degree will provide you with some or all of the underpinning knowledge, understanding and skills for eventual registration as an Incorporated (IEng) or Chartered Engineer (CEng).

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Subjects

  • Data Mining
  • IT
  • Industry
  • Business Intelligence
  • Visualisation
  • Access
  • Forecasting
  • Mathematics
  • Financial Mathematics
  • GCSE Mathematics
  • Programming
  • Financial Training
  • Project
  • Financial

Course programme

Modular structure

The modules listed below are for the academic year 2020/21 and represent the course modules at this time. Modules and module details (including, but not limited to, location and time) are subject to change over time.

Year 1 modules include:
  • Data Analysis and Visualization (core, 20 credits)
  • Data Mining for Business Intelligence (core, 20 credits)
  • Data Modelling and OLAP Techniques for Data Analytics (core, 20 credits)
  • MSc Project (core, 60 credits)
  • Programming for Data Analytics (core, 20 credits)
  • Statistical Modelling and Forecasting (core, 20 credits)
  • Financial Mathematics (option, 20 credits)
  • Work Related Learning (option, 20 credits)
Assessment

The course is assessed in a number of ways including written reports, practical and research assignments, demonstrations, presentations, group work and examinations.

Data Analytics - MSc

Price on request