Data Analytics at University of Strathclyde - UCAS

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Course summary

The MSc Data Analytics is designed to create rounded data analytics problem-solvers. it focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates. You will gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement. The degree has been jointly developed by the Departments of Management Science, Mathematics & Statistics and Computer & Information Sciences. It brings together essential skills from all three departments in order to address the needs of a fast-growing industry. This collaboration avoids the narrow interpretation of this subject offered by competitor institutions and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge. You will have optional opportunities to complete your MSc summer dissertation projects in client-based projects, where a number of host organisations will be arranged by the department.

Modules

Core classes: Big Data Fundamentals; Big Data Tools & Techniques; Data Analytics in R; Business & Decision Modelling; Optimisation for Analytics; Data Analytics in Practice; Dissertation in Data Analytics Elective classes: Database Fundamentals; Evolutionary Computation for Finance 1; Evolutionary Computation for Finance 2; Fundamentals of Machine; Learning for Data Analytics; Financial Econometrics; Bayesian Spatial Statistics; Mathematical Introduction to Networks; Stochastic Modelling for Analytics; Business Simulation Modelling; Risk Analysis & Management; Business Information Systems; Advanced Machine Learning for Data Analytics

Assessment method

Assessment methods include a mix of written assignments, exams, practical team projects, presentations and individual projects.


Entry requirements

Second-class Honours degree or non-UK equivalent in mathematics, natural sciences, engineering, or economics/finance. Applications from those with other degrees are also encouraged if you have demonstrated a good grasp of numerical/quantitative subjects.


Fees and funding

Tuition fees

England £11550 Year 1
Northern Ireland £11550 Year 1
Scotland £11550 Year 1
Wales £11550 Year 1
International £21850 Year 1

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.

Sponsorship information

strath.ac.uk/studywithus/scholarships/

Data Analytics at University of Strathclyde - UCAS