MSc Applied Data Analytics

Course details Core units Research Methods & Professional Issues: Research requires a structured and disciplined approach at all stages. We'll help you to develop key research skills in many areas, from project proposals and planning to critical analysis of research findings, academic writing and presentation. We'll also ensure you consider professional standards and ethical issues in your research. Advanced Data Management: Data management is part of any modern real-world application. We'll help you develop an understanding of data modelling, design and execution, and how to use data-driven systems and to evaluate current trends in database technologies. Data Mining & Analytic Technologies: Many businesses rely on data mining and exploration techniques to better understand the market and customer behaviour to plan ahead and make more informed decisions. You'll learn about tools and techniques of data mining and analytics, and have an opportunity to apply them to real world problems in settings like fraud detection, customer profiling and more. SAS Programming: The SAS Institute is a world-leading supplier of data analytics software and a partner in this Master's programme. You'll have the opportunity to discover the most popular SAS tools and development frameworks, and learn how to program using SAS 4GL language. This will familiarise you with the technologies used by major SAS customers. You'll also have a chance to earn a highly regarded, official SAS Institute Programming Certificate. Research Project: An opportunity to complete a significant piece of self-managed research in an area that interests you. You'll engage with a complex, real-world problem where you can combine different methods and tools. Option units Please note that option units require minimum numbers in order to run and may change from year to year. You'll choose two of the following units: Business Intelligence: Vast amounts of data about a company’s customers and operations is routinely collected and stored in large corporate data warehouses. This data can be of immense value if properly analysed. You'll explore a suite of techniques and tools for data preparation and analysis, and presentation of the results to non-technical and managerial staff, in alignment with business strategies. Analytics for Data Streams: In real world data-intensive applications, the data is arriving in a continuous stream and usually cannot be accumulated before processing. This online setting requires special techniques to analyse incoming data on the fly. Sensor networks, manufacturing industry or surveillance are just a few examples of streaming data sources. You'll learn how to efficiently process streaming data using state-of-the-art stream exploration, analysis and mining techniques. Web Mining & Analytics: Web mining has emerged as one of the most attractive areas in applied research. It spans a large spectrum of topics such as information retrieval, topic detection and social community analysis. You'll gain extensive knowledge and systematic understanding of web and social network analysis, together with a critical awareness of current problems informed by practical experience of web modelling and mining. Big Data & Cloud Computing: Big data can be encountered in numerous domains and applications. Analysing large amounts of data requires special methods to cope with its volume, variety and velocity. We'll help you become familiar with methods, tools and technologies associated with big data analytics. You'll be trained in using the latest state-of-the-art technologies like Not Only SQL (NoSQL) databases, Hadoop and MapReduce. Optional Industrial Placement: If you take this opportunity, you'll gain experience of working in an appropriate professional environment in line with our employability strategy. Programme specification Programme specifications provide definitive records of the University's taught degrees in line with Quality Assurance Agency requirements. Every taught course leading to a BU Award has a programme specification which describes its aims, structure, content and learning outcomes, plus the teaching, learning and assessment methods used. Download the programme specification for MSc Applied Data Analytics. Whilst every effort is made to ensure the accuracy of the programme specification, the information is liable to change to take advantage of exciting new approaches to teaching and learning as well as developments in industry. If you have been unable to locate the programme specification for the course you are interested in, it will be available as soon as the latest version is ready. Alternatively please contact us for assistance.