Máster en Big Data y Business Intelligence
The McKinsey Global Institute calls big data “the next frontier for innovation, competition and productivity.” According to IBM, mankind creates 2.5 quintillion bytes of data every day. Businesses and industry have already realised that investment in big data is absolutely necessary to survive in the modern world.
The MSc in Data Analysis for Business Intelligence will prepare you to work with data in the business environment, using mathematical, statistical and computational skills – including data mining and practical database coding skills.
You will learn how to identify and correlate potential patterns in data as well as honing the data analysis skills required to perform predictive and prescriptive modelling in real-world business situations. Your summer project will let you apply what you have learned to real business problems.
This degree is jointly managed by our Department of Mathematics and our Department of Computer Science and includes the option of two industry standard professional IT certifications.
The information included on this webpage is indicative of the courses provided by the University of Leicester. Due to regular enhancement of the University’s courses, please refer to Leicester’s own website and Terms and Conditions for the most accurate and up-to-date course information. We recommend that you familiarise yourself with this information before submitting an application.
2:2 degree in Maths or related subject (eg. Physics) or equivalent international qualification. If your background is in computer science we will assess your student transcript.
English Language Requirements: IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.
Internet and Cloud Computing
Choose one option module from:
Advanced C++ Programming
Data Mining and Neural Networks
Financial Information Systems
Option modules, choose one option module from:
Computational Methods for Partial Differential Equations
Analysis and Design of Algorithms
You will carry out an extended Research Project, based around analysis of a real dataset, organisation of a database or preparation of data analysis software for a specific problem.
You will also have the opportunity to sit two optional IT certification exams:
SAS for data analysis (with external certification: ´SAS Base Programmer for SAS 9´)
SQL (with external certification: ´The Microsoft Certified Solutions Associate (MCSA): SQL Server 2012´)
While these exams are not mandatory to complete the MSc, we recommend sitting them because they are highly valued by employers.
The Department of Mathematics has a long history of collaborating with industry for student projects. Companies we have worked with include Asset Intelligence, City Group, Santander, Deloitte, Risk Care, Alstom. Your summer project will be based on real data and developed in partnership with industrial contacts like these.