Course Details

MSc Data Analytics

The Data Analytics MSc is designed for students looking to master the theoretical, technical, and practical skills essential for a career as a data analyst. This postgraduate programme explores vital subjects including

Start Date

January 2027

Duration

1 year

Campus

London

Tuition Fee

£11,000 per year (UK home)

Study Mode

Full-time, Part-time

Fee information

The tuition fee for UK home students is £11,000 per year for full-time study. For part-time study, the fee is £1,225 per 20 credit module. The university reserves the right to increase the tuition fees in line with changes to legislation, regulation and any government guidance or decisions. More information on the latest fee can be found on the institution website.

Structure

Course Structure

Year 1

Data Mining and Machine Learning

20 credits

Data Visualisation

20 credits

Data Warehousing and Big Data

20 credits

Financial Mathematics

20 credits

MSc Project

60 credits

Programming for Data Analytics

20 credits

Statistical Modelling and Forecasting

20 credits

Requirements

Entry Requirements

Learn about our mission to make higher education accessible and empowering for every

Academic Requirements

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

English Language Requirements

Please contact our admissions team for specific English language requirements for this program.

FAQs

Frequently Asked Questions

What career options are available for me after completing Data Analytics from London Metropolitan University?

Graduates are well-prepared for roles in data science and big data industries, including positions such as data analyst, data engineer, and analytics manager across sectors like fintech, healthcare, and research.

How is this course assessed?

The course is assessed through a variety of methods including written reports, practical and research assignments, demonstrations, presentations, group work, and examinations.

Does London Metropolitan University provide employability services?

The institution provides comprehensive support to help students build their professional profiles and prepare for the job market.

Does London Metropolitan University offer placements and/or internships?

Students have access to work-related learning opportunities, including the chance to work on projects with external companies and local government departments.

What makes Data Analytics at London Metropolitan University different from similar courses?

This course is distinguished by its industry-led curriculum, accreditation by the BCS and Engineering Council, and access to professional software tools like SAS and Qlik.

Will Data Analytics help build practical skills?

Yes, the course includes a strong practical component, with hands-on sessions using industry-standard software and real-world data sets to develop your technical skills.

What will the learning experience look like on Data Analytics at London Metropolitan University?

The learning experience combines theoretical knowledge with practical application, featuring expert teaching, research-led projects, and collaboration with industry professionals.

What should a prospective student know before applying to Data Analytics at London Metropolitan University?

Prospective students should ensure they meet the academic entry requirements and consider their interest in data science, as the course involves intensive technical and mathematical study.