Data Analytics MSc 12 months Postgraduate Programme By London Metropolitan University |TopUniversities
Programme Duration

12 monthsProgramme duration

Tuitionfee

20,000 GBPTuition Fee/year

Application Deadline

23 Nov, 2026Application Deadline

Starting Month

Jan, SepStarting Month

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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.


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

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Master's

Study Mode

On Campus

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.


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

Admission Requirements

59+
2.7+
6+
4+
105+

You will be required to have:


  • a 2:2 UK degree (or equivalent) in a computing or mathematics based discipline 


            or


  • a 2:1 UK degree (or equivalent) in a non-mathematics or computing discipline where an element of data analysis can be demonstrated

23 Nov 2026
1 Year
Jan
Sep

Tuition fees

Domestic
11,000 GBP
International
20,000 GBP

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

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