12 months
Duration
16225 GBP/year
9300 GBP/year
Unknown
Tuition fee
Anytime
Anytime
Unknown
Apply date
Unknown
Start date

About

The Data Analytics at London Metropolitan University 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. 

Visit the official programme website for more information

Overview

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.

The Data Analytics at London Metropolitan University 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).

After the course

Upon completion of the course, you’ll be well equipped to work in some of the fastest growing sectors of the data science and big data industries. A wide range of career opportunities will be open to you in the commercial, public and financial sectors, especially in areas requiring big data analysis such as consumer, healthcare, scientific, financial, security intelligence, business and social sciences.

Programme Structure

Courses include:
  • Data Analysis and Visualization 
  • Data Mining and Machine Learning 
  • Data Warehousing and Big Data
  • MSc Project
  • Programming for Data Analytics
  • Statistical Modelling and Forecasting
  • Financial Mathematics 
  • Work Related Learning 

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

More details

We recommend that you submit your application to us as soon as possible to avoid disappointment.

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Lower Second Class

Other requirements

General 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)

Tuition Fee

To alway see correct tuition fees
  • International

    16225 GBP/year
    Tuition Fee
    Based on the tuition of 16225 GBP for the full programme during 12 months.
  • National

    9300 GBP/year
    Tuition Fee
    Based on the tuition of 9300 GBP for the full programme during 12 months.

PT:

  • UK: £1,035 per 20 credits
  • Int: £1,805 per 20 credits

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Analytics
-
London Metropolitan University

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