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Different course options

Full time | Holloway | 12 months | 23-SEP-24

Study mode

Full time

Duration

12 months

Start date

23-SEP-24

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Analysis

Course type

Taught

Course Summary

Why study this course?

On our Data Analytics MSc you'll dive into vital subjects including data mining, statistical modelling, business intelligence and data visualisation. The course has been developed with direct input from industry experts who know the value of learning through real-life business cases. By the end of the master's 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.

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).

Some employers recruit preferentially from accredited degrees, and an accredited degree is likely to be recognised by other countries that are signatories to international accords.

The course can also prepare you for the industry-recognised Oracle Professional Certification.

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. What's more, you'll get 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. As a partner of SAS® and Qlik Academic Programs, you'll have access to these revered tools, along with R and Python programming, IBM SPSS, Tableau, Oracle and Hadoop. Familiarity with these will greatly enhance your employability upon graduation.

Studying this Data Analytics MSc will see you gain exposure to key industry resources and real-life business case scenarios:

as one of the corporate members of London First we actively engage with key players in London’s business, political and civic communities to raise their profile directly with other business leaders
utlising real-world data from London Datastore will become second nature to you, building your skills to tackle real-world problems faced by communities
our students have previously worked on projects with Lloyds Bank and Islington Council
our academic team is eager for you to get involved with their research projects and publishing research papers, even providing students paid positions to participate.

Modules

This module provides an appreciation of data mining and machine learning fundamental concepts, algorithms, and process. It covers machine learning algorithms and data mining techniques for data analysis, pattern mining, clustering, classification and regression. It equips the students with practical skills in applying data mining and machine learning techniques in real-world analytics problems.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£10,500

International fees
Course fees for EU and international students

For this course (per year)

£18,150

Entry requirements

You will be required to have: 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).

University information

London Metropolitan University, also known as London Met, has a fantastic range of postgraduate degrees available. Whether students want to improve their job prospects, follow their passion, or change their career direction completely, a postgraduate degree at London Met is the first step in the right direction. The university supports students all the way through their studies and provides guidance to support them in attaining new jobs or...more