11318 modules
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MANG3108 2028-29
Analytics in Action I
Companies today collect large volumes of data from a variety of sources. This module introduces the key concepts of using ‘Big Data’ to support organisational decision-making. The module begins by defining the concept of data analytics. We then focus on predictive analytics techniques (e.g., regression and classification) and descriptive analytics techniques (e.g., clustering, association analysis, and sequence analysis). The module also illustrates how data analytics can be applied successfully in a range of areas, including marketing, retail credit risk, healthcare, and fraud detection. Theoretical concepts are supported by real-world case studies and demonstrations using commercial software. -
MANG3108 2029-30
Analytics in Action I
Companies today collect large volumes of data from a variety of sources. This module introduces the key concepts of using ‘Big Data’ to support organisational decision-making. The module begins by defining the concept of data analytics. We then focus on predictive analytics techniques (e.g., regression and classification) and descriptive analytics techniques (e.g., clustering, association analysis, and sequence analysis). The module also illustrates how data analytics can be applied successfully in a range of areas, including marketing, retail credit risk, healthcare, and fraud detection. Theoretical concepts are supported by real-world case studies and demonstrations using commercial software. -
MANG3108 2030-31
Analytics in Action I
Companies today collect large volumes of data from a variety of sources. This module introduces the key concepts of using ‘Big Data’ to support organisational decision-making. The module begins by defining the concept of data analytics. We then focus on predictive analytics techniques (e.g., regression and classification) and descriptive analytics techniques (e.g., clustering, association analysis, and sequence analysis). The module also illustrates how data analytics can be applied successfully in a range of areas, including marketing, retail credit risk, healthcare, and fraud detection. Theoretical concepts are supported by real-world case studies and demonstrations using commercial software. -
MANG3098 2029-30
Analytics in Action II
Having learnt the basic techniques and principles of business analytics in previous semester 1 modules, this module will introduce you to a number of advanced machine learning methods and their applications in practice. These include machine learning methods, big data solutions and technologies, and advanced models to extract complex non-linear patterns from large amounts of diverse data. The focus will be on the underlying principles, modelling methodologies, and implementation using appropriate software packages. -
MANG3098 2027-28
Analytics in Action II
Having learnt the basic techniques and principles of business analytics in previous semester 1 modules, this module will introduce you to a number of advanced machine learning methods and their applications in practice. These include machine learning methods, big data solutions and technologies, and advanced models to extract complex non-linear patterns from large amounts of diverse data. The focus will be on the underlying principles, modelling methodologies, and implementation using appropriate software packages. -
MANG3098 2028-29
Analytics in Action II
Having learnt the basic techniques and principles of business analytics in previous semester 1 modules, this module will introduce you to a number of advanced machine learning methods and their applications in practice. These include machine learning methods, big data solutions and technologies, and advanced models to extract complex non-linear patterns from large amounts of diverse data. The focus will be on the underlying principles, modelling methodologies, and implementation using appropriate software packages. -
MANG3098 2030-31
Analytics in Action II
Having learnt the basic techniques and principles of business analytics in previous semester 1 modules, this module will introduce you to a number of advanced machine learning methods and their applications in practice. These include machine learning methods, big data solutions and technologies, and advanced models to extract complex non-linear patterns from large amounts of diverse data. The focus will be on the underlying principles, modelling methodologies, and implementation using appropriate software packages. -
ARTD6906 2026-27
Analytics in Action: Creative Campaign Strategy
This module will provide you with understanding of the role that data analytics has in supporting decision making and strategy development in marketing strategy and campaigns. You will gain insight into how to apply analytical tools to solve problems, and learn the principles, methods, and uses of data analytics in designing innovative and creative marketing strategies and campaigns to achieve marketing and business goals. You will develop an understanding of how analytics can build knowledge of online customer behaviour, manage customer relationships and be used to measure the effectiveness of marketing strategy and communication campaigns. You will be given an overview of contemporary and innovative marketing technology (MarTech) that is used to create, deliver, manage and measure creative online marketing campaigns and strategies. -
ARTD6906 2027-28
Analytics in Action: Creative Campaign Strategy
This module will provide you with understanding of the role that data analytics has in supporting decision making and strategy development in marketing strategy and campaigns. You will gain insight into how to apply analytical tools to solve problems, and learn the principles, methods, and uses of data analytics in designing innovative and creative marketing strategies and campaigns to achieve marketing and business goals. You will develop an understanding of how analytics can build knowledge of online customer behaviour, manage customer relationships and be used to measure the effectiveness of marketing strategy and communication campaigns. You will be given an overview of contemporary and innovative marketing technology (MarTech) that is used to create, deliver, manage and measure creative online marketing campaigns and strategies. -
PAIR3081 2027-28
Anarchism in Theory and Practice
Debates in political theory tend to focus on what the best form of government would look like, and on values of the term 'best' in this context. This module aims to move beyond these more traditional debates and critically assess the political perspectives which have arisen from the basic term 'an arkos' (without rulers).