Master of Science in Data Analytics (London Metropolitan University)
Course Information
Description
Course overview
Entry Requirements
Participants are expected to contribute to the class learning experiences in a cohort and peer learning environment. You will be assessed based on experience, aptitude, potential, and skills.
A 2.2 UK first degree or equivalent in any discipline that involves an element of data analysis (Applicants with relevant professional experience will also be considered)
OR
Mature candidates above 30 years with a minimum of 8 years working experience may be considered on a case to case basis.
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Applicants are required to demonstrate the ability to study in English; IELTS 6.0 overall with 5.5 in each component or equivalent.
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.
Our data analytics graduates have gone on to secure exciting roles in diverse sectors including fintech, transportation, healthcare, research, environmental and education. The job roles range from Data engineer, Analytics manager, Data solution developer, Data analyst, Python developer.
Our MSc Data Analytics programme will equip you to work in some of the fastest-growing sectors of data science and big data industries. A wide range of career opportunities will be open to you.
Possible future career options include that of
- Data Scientist
- Business Analyst
- Financial Professionals
- Data Analyst
- Digital Analyst
- Big Data Consultant
- Statistical Analyst
- Data Modeller
Modules
- Data Mining For Business Intelligence
- Data Modelling And OLAP Techniques For Data Analytics
- Programming For Data Analytics
- Data Analysis And Visualization
- Statistical Modelling And Forecasting
- Work Related Learning
- MSc Project