London Metropolitan University

Course Introduction

This specialist advanced course will equip students with the theoretical, technical and practical data analytics competencies required in an area of economic growth. The course curriculum content has been developed with direct input from industry experts and utilises specialist software tools and techniques. Students' experience of the course will be enriched with exposure to real life business case scenarios brought to them by skilled professionals in industry. The specialist nature of the course will allow students to explore and experience advanced techniques in data science. Students will acquire practical skills, often 1st'hand from an external practitioners, preparing them for employment as data analysts. Students will also be trained in the use of software tools and environments currently used by the industry sector. For example, students on this course will have exposure to R and Python programming, IBM SPSS, SAS, Tableau, Oracle and Hadoop.

Course Modules

Core modules: Data analysis and visualisation; data mining for business intelligence; data modelling and OLAP techniques for data analytics; statistical modelling and forecasting; programming for data analytics; project. Optional module (1 from): Financial mathematics; work'related learning.

Course Additional Entry

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. All applicants must be able to demonstrate proficiency in the English language

Duration & Attendance Qualification Tuition fees
1 year
Full Time
MSc (Postgraduate) £11,700  Academic year. First year overseas fees
1 year
Full Time
MSc (Postgraduate) £7,965  Academic year. First year home fees
2 years
Part Time
MSc (Postgraduate) £885  Credit module. First year home fees