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MSc Data Analytics

  • DeadlineStudy Details:

    MSc: 12 months full-time, 18 months part-time

Course Description

On our Data Analytics MSc you’ll be introduced to subjects including data mining, statistical modelling, business intelligence and data visualisation. The course 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. By the end of the MSc 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.

In the most recent Destinations of Leavers from Higher Education (DLHE) survey, 100% of all 2017 graduates from this course were in work or further study within six months.

Entry Requirements

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).

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Fees

For fee details please see here

Student Destinations

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.

Job roles you could apply for include data scientist, data analyst, digital analyst, big data consultant, statistical analyst and data modeller. You’ll be eligible to work in a multitude of areas where skills such as R or Python programming, machine learning and statistical modelling, SAS® and SPSS experience, data visualisation and data-driven decision-making are required.

The course also provides you with an excellent basis for further study if you want to pursue a higher-level research degree or embark on an industry-based research career.

Module Details

Year 1 modules include:

Data Analysis and Visualization (core, 20 credits)
Data Mining for Business Intelligence (core, 20 credits)
Data Modelling and OLAP Techniques for Data Analytics (core, 20 credits)
MSc Project (core, 60 credits)
Programming for Data Analytics (core, 20 credits)
Statistical Modelling and Forecasting (core, 20 credits)
Financial Mathematics (option, 20 credits)
Work Related Learning (option, 20 credits)

London Metropolitan University Campus

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