Master Applied Data Analytics (Full-time) - Máster en Análisis de Datos
Big data is all around us. Every day, 2.5 quintillion (2,500 followed by 15 zeros) bytes of data are created, and 90% of the data in the world today has been generated in the last two years. As a consequence, the ability to identify and obtain intelligence from big data requires a set of skills which is increasingly in demand.
Our MSc in Big Data Analytics provides a foundation for you to pursue a career applying leading edge software and analytics technology or conducting research in this vitally important field. It will give you an in-depth knowledge and critical understanding of the key issues and concepts. You’ll develop powerful skills in the extraction, analysis and management of information from big data using a variety of scientific techniques and software tools.
One of the course’s key strengths is that it is designed in conjunction with SAS, the global leaders in data analytics, whose data mining and business intelligence platform is widely used in academia and industry.
You’ll normally need an undergraduate degree (2:1 or above) or equivalent in a science, technology, engineering or mathematics subject, or a closely related discipline with significant mathematical content.
Applicants without these qualifications may still be considered if they can demonstrate relevant work experience in a management or supervisory position.
You will study these modules:
Business Analytics with SAS
You’ll have the opportunity to work with representative, real-world data-sets to enhance your understanding of the issues involved in managing and analysing data. You’ll also explore the practical aspects of data mining and management data analysis and presentation, using the SAS product set.
You’ll develop a rigorous understanding of statistical concepts relating to probability, data analysis and statistical modelling. The emphasis is on applying these concepts to real-life problems through the analysis of data and interpretation or results, supported by relevant software tools.
Studying at Masters Level and Research Methods
This module helps improve your ability to study at masters level and to develop, plan and execute a project using research processes. A pre-requisite for your Independent Scholarship module at the MSc stage, it enables you to review and evaluate academic literature, to gain an understanding of research design and methodological enquiry, and to systematically analyse researched data and theories.
You will study these modules:
Analytics: Ethics, Trust and Governance
You’ll look at how companies can develop, deploy and manage their information analytics assets in a way that meets best practice in terms of corporate governance, information security, IT, law, corporate and information strategy, effective project delivery, ethics and ensuring a low carbon footprint.
Processing Big Data
A variety of analytic methods and techniques will be discussed, including machine learning techniques, general data mining algorithms and analysis of techniques for unstructured data assessment.
Companies today are overwhelmed with data which is doubling in volume every 12 to 18 months. On this module you’ll work with high performance visualisation tools to explore new ways of dealing with this growing ‘data lake’ and ensure effective managerial action.
You’ll also take two option modules:
Comparative Analytics Tools
The use of analytics tools is essential in extracting intelligence from Big Data. This module enables you to undertake a critical evaluation of the main software analytics tools.
Natural Language Processing
Using relevant software tools, you’ll develop a reflective and critical understanding of the main approaches to Natural Language Processing (NLP) and text mining. This module provides an insight into the extraction and analysis of data-sets of various origin.
Many problems that cannot be solved by classical methods can be investigated using modern optimization techniques. On this module you’ll implement a diverse range of optimization techniques using relevant mathematical software.
You’ll study this module:
This is your opportunity to demonstrate your ability to apply what you have learned on the course in an independent and rigorous fashion. Through a substantial research project, you’ll demonstrate that you are able to formulate and tackle real
With the MSc, you’ll be equipped for careers in business intelligence and data analytics in any type of industry, in consultancy or in entrepreneurship. The course also provides a foundation for progression to a PhD or MPhil, allowing you to pursue your research interests.
After successfully achieving the MSc award, you will be able to apply for membership of the British Computer Society (BCS). Upon completion of satisfactory industrial experience post award, you will also become eligible for Chartered Information Technology Professional status.