Master of Science [M.Sc] [Data Analytics] From London Metropolitan University

The MSc in Data Analytics at London Metropolitan University has been developed with direct input from industry experts whoÕll present you with real-life business cases as part of your work-related learning. By the end of the MSc degree, youÕll 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.

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, youÕll be well prepared for a career in data analytics upon graduation.

The modules on this course have been developed with the help of industry professionals, some of whom will be present to teach you in specific classes. These experts will help you explore advanced techniques in data science. You'll study specialist subjects including financial mathematics, statistical modelling and forecasting, as well as having the chance to develop your own unique piece of work in the MSc Project module.

YouÕll also be trained to use specialist software tools and environments currently used by professionals in industry. For example, youÕll 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.

Our skilled professionals will expose you to real-life business case scenarios. For example, past students have worked on data warehouse projects with Lloyds Bank. This ensures youÕll develop practical skills and become familiar with the kind of challenges you could face in data analyst roles.

After the course

Upon completion of the course, youÕll 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.