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MSc Data Analytics
- Postgraduate
- London
Last Updated: 13/07/2026View on Institutions website
Rank50th
★★★★★(2564)
Course Overview
Intake
January 2027
Duration
1 year
Course Description
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 data mining, statistical modelling, business intelligence, and data visualisation. Developed with direct input from industry experts, the course ensures students gain experience through real-life business case scenarios. You will be trained to use specialist software tools currently used by professionals, such as SAS, Qlik, R, Python, IBM SPSS, Tableau, Oracle, and Hadoop. The course is available on a full-time basis over one year or part-time over two years. By the end of the degree, you will be well-prepared for rewarding roles in the data science and big data industries, as well as sectors that increasingly require data analysis expertise. The institution provides a supportive environment with access to research projects and industry-standard resources to enhance your employability.
Tuition Fee Details
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.
Course Structure
Data Mining and Machine Learning
20
Data Visualisation
20
Data Warehousing and Big Data
20
Financial Mathematics
20
MSc Project
60
Programming for Data Analytics
20
Statistical Modelling and Forecasting
20
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
Frequently Asked Questions
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.