Data Analytics - MSc (Full-time)
London Metropolitan University
Program description
Data Analytics - MSc (Full-time)
Why study this course?
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.
Accredited by the British Computer Society (BCS) - The Chartered Institute for IT, it can also prepare you for the industry-recognised Oracle Professional Certification.
This postgraduate course will equip you with the theoretical, technical and practical skills required to become a data analyst. With an expert teaching team, access to specialist software and work on real-life business cases, you’ll be well prepared for a career in data analytics upon graduation.
You’ll also be trained to use specialist software tools and environments currently used by professionals in industry. For example, you’ll have access to R and Python programming, IBM SPSS, SAS®, Tableau, Oracle and Hadoop. Familiarity with these tools will greatly enhance your employability upon graduation.
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Admission 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)
To study a degree at London Met, you must be able to demonstrate proficiency in the English language. If you require a Tier 4 student visa you may need to provide the results of a Secure English Language Test (SELT) such as Academic IELTS.
For more information about admission requirements, please visit the university website.
Does this course require proof of English proficiency?
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Learn moreProgram content
- Data Analysis and Visualization
- Data Mining for Business Intelligence
- Data Modelling and OLAP Techniques for Data Analytics
- MSc Project
- Programming for Data Analytics
- Statistical Modelling and Forecasting
- Financial Mathematics
- Work Related Learning
Modules and module details are subject to change over time
Scholarships & funding
Several scholarship options are available. Please check the university website for more information.
Tuition fees
How much you pay in tuition fees depends on which country you come from and whether you are a full-time or part-time student. Please visit the course page on university website for fee information particular to that course.
Career opportunities
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.
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About this institute
London Metropolitan University
Based in England’s historic capital city, London Metropolitan University has a rich history of education with its roots dating back to 1848. Taking its current form following a merger of two well-renowned universities in 2002, it offers a wide range...
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London Metropolitan University
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