Big Data Technologies MSc

Program Overview

Big Data Technologies MSc

Overview

The Big Data Technologies MSc is a postgraduate course designed to equip students with the skills and knowledge required to harness the power of big data. The course is aimed at people who want to move into this rapidly expanding and exciting area, with a strong vocational flavour and a focus on building knowledge and understanding of big data systems architectures.

Course Structure

The course consists of the following modules:

• Big Data Theory and Practice: This module discusses the advances that big data era has brought to the way data is used by organisations, and considers issues related to data quality and effective data governance.
• Data Repositories Principles and Tools: A hands-on module with highly technical content, covering the underlying technologies and approaches used in capturing, maintaining and modelling persistent data.
• Data Warehousing and Business Intelligence: This module teaches students how to build Data Warehouses by understanding their structures and the concept of multi-dimensional modelling.
• MSc Project: The module consolidates and extends the knowledge students acquired in the taught part course, encouraging and rewarding individual inventiveness and application of effort.
• Data Mining and Machine Learning: This module provides an overview of modern techniques in Machine Learning and Data Mining that are particularly customised for Data Science applications.
• Option modules:
  • Data Visualisation and Dashboarding: This module covers the theoretical and practical aspects of data visualisation including graphical perception, dynamic dashboard visualisations, and static data ‘infographics’.
  • Web and Social Media Analytics: This module explores the use of modelling to analyse and measure both online presence and impact using web and social media data.
  • Cyber Security Threats and Countermeasures: This module focuses on cyber security threats and countermeasures at physical and digital level, focusing on behaviour of employees, home users, software developers.
  • Business Analytics: This module equips students with foundational knowledge in statistics, optimisation modelling, and operational research to enable data-driven business decision making.

Entry Requirements

• A minimum of a lower second class honours degree (2:2) in IT or computing discipline, or in another discipline that either provides important underpinning for or insight into IT and computing, or it is closely related to it.
• If your first language is not English, you should have an IELTS 6.5 with at least 6.5 in writing and no element below 6.0.
• Applicants are required to submit one academic reference.

Tuition Fees

• UK tuition fee: £11,900 (Price per academic year)
• International tuition fee: £20,000 (Price per academic year)

Teaching and Assessment

• Teaching methods focus on active student learning through lectures, seminars, workshops, problem-based and blended learning, and where appropriate practical application.
• Assessment types include practical and coursework, with a focus on developing skills and knowledge in big data technologies.

Location

• The course is based at the Cavendish Campus in central London, with state-of-the-art science and psychology labs and refurbished computer suites.

Related Courses

• Data Science and Analytics MSc
• FinTech with Business Analytics MSc
• Cyber Security and Forensics MSc