11318 modules
Page 294
-
AICE1006 2025-26
Data Analytics
Working with data of various forms is a crucial skill for all engineers and scientists. This module introduces students to working with, analysing and processing various different forms of data. The module focusses on ensuring students have a thorough grasp of the appropriate use of statistical and graphical measures to make decisions on data, and the basic practical tools and techniques required to filter, refine and query data. At its heart, this module provides the grounding for students to be able to perform Exploratory Data Analysis (EDA). -
AICE1006 2027-28
Data Analytics
Working with data of various forms is a crucial skill for all engineers and scientists. This module introduces students to working with, analysing and processing various different forms of data. The module focusses on ensuring students have a thorough grasp of the appropriate use of statistical and graphical measures to make decisions on data, and the basic practical tools and techniques required to filter, refine and query data. At its heart, this module provides the grounding for students to be able to perform Exploratory Data Analysis (EDA). -
MANG6526 2026-27
Data Analytics and Organisational Decision Making
This module is intended to provide you with a blend of theory and current practice in organisational decision making and data management. The module critically discusses the complexity of organisational decision making by identifying key concepts and relevant theories. The module examines the role of knowledge in the contemporary organisations and explore the ways it can be used for better data management. Existing models for analysing decision making processes are examined, as well as how information systems and analytical tools can be used to tap into (big) data and support and enhance decision making within different organisational contexts. -
MANG6526 2025-26
Data Analytics and Organisational Decision Making
This module is intended to provide you with a blend of theory and current practice in organisational decision making and data management. The module critically discusses the complexity of organisational decision making by identifying key concepts and relevant theories. The module examines the role of knowledge in the contemporary organisations and explore the ways it can be used for better data management. Existing models for analysing decision making processes are examined, as well as how information systems and analytical tools can be used to tap into (big) data and support and enhance decision making within different organisational contexts. -
MANG6526 2027-28
Data Analytics and Organisational Decision Making
This module is intended to provide you with a blend of theory and current practice in organisational decision making and data management. The module critically discusses the complexity of organisational decision making by identifying key concepts and relevant theories. The module examines the role of knowledge in the contemporary organisations and explore the ways it can be used for better data management. Existing models for analysing decision making processes are examined, as well as how information systems and analytical tools can be used to tap into (big) data and support and enhance decision making within different organisational contexts. -
ARTD6253 2027-28
Data Analytics for the Fashion Industry
This module will provide you with knowledge and understanding of data analytics to support decision making in modern marketing. You will explore the role of data analytics in marketing strategy and develop an insight into how to apply analytical tools to solve marketing problems, achieve ethical and sustainability goals and foster innovation. You will have the opportunity to learn through real-world case studies and experiment with different types of analytics. You will learn the principles, methods, and uses of data analytics in achieving marketing and business goals. -
ARTD6253 2025-26
Data Analytics for the Fashion Industry
This module will provide you with knowledge and understanding of data analytics to support decision making in modern marketing. You will explore the role of data analytics in marketing strategy and develop an insight into how to apply analytical tools to solve marketing problems, achieve ethical and sustainability goals and foster innovation. You will have the opportunity to learn through real-world case studies and experiment with different types of analytics. You will learn the principles, methods, and uses of data analytics in achieving marketing and business goals. -
ARTD6253 2026-27
Data Analytics for the Fashion Industry
This module will provide you with knowledge and understanding of data analytics to support decision making in modern marketing. You will explore the role of data analytics in marketing strategy and develop an insight into how to apply analytical tools to solve marketing problems, achieve ethical and sustainability goals and foster innovation. You will have the opportunity to learn through real-world case studies and experiment with different types of analytics. You will learn the principles, methods, and uses of data analytics in achieving marketing and business goals. -
FEEG6025 2027-28
Data Analytics in Civil, Environmental, and Energy Systems
Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It shows how statistical analysis can be used to solve civil and environmental engineering problems, using real-world case studies whenever possible. Exploratory data analysis, hypothesis testing, and regression analysis are main topics covered in this module. The main focus will be on developing regression models. Students will gain hands-on experience in using statistical software. -
FEEG6025 2025-26
Data Analytics in Civil, Environmental, and Energy Systems
Given the importance of data analytics, this module provides students with a systematic and comprehensive understanding of the fundamentals of applied statistical modelling. It shows how statistical analysis can be used to solve civil and environmental engineering problems, using real-world case studies whenever possible. Exploratory data analysis, hypothesis testing, and regression analysis are main topics covered in this module. The main focus will be on developing regression models. Students will gain hands-on experience in using statistical software.