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Data Analytics MSc


Course Description

This innovative masters course has been specifically designed in close consultation with industry partners so that students graduate with a broad and much in demand skill set.

Data analysis skills are developed in tandem with experience of managing data analysis projects end-to-end, proposing sound business cases and strategies for analysis, performing and overseeing analyses as well as critically appraising and presenting results to others.

Teaching is informed by cutting-edge business developments as well as staff research. A range of industry partners provide hands-on experience.

The course covers three main areas:
- Data Management: Structuring and manipulating data for analysis purposes.
- Data Interpretation: Statistical and other analyses using advanced features of industry-standard software such as SAS and R to draw meaningful inferences from varied data sets.
- Strategy and Analytics Project Management: The important business-related and financial aspects of data analytics projects.

Core (compulsory) modules:

Data Management
Programming for Analytics
Data Visualisation and Analysis
Business Analytics Strategy and Practice
Industry Project

Optional modules currently include:

Multivariate Analysis and Statistical Modelling
Data Mining and Knowledge Discovery in Data
Stochastic Methods and Forecasting
Financial Mathematics and Project Valuation

Careers

Graduates can choose to move into a variety of roles as a wide range of organisations draw on data analytics specialists to help produce valuable information for decision-making. Examples include commodity price forecasting, financial analysis and customer intelligence.

Visit the Data Analytics MSc page on the University of Brighton website for more details!

Entry Requirements

Honours degree at 2:1 or above, or equivalent work experience

Course Fees

See Fees and Funding tab on course website


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Recipient: University of Brighton

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