Teaching and assessment for International Energy Studies and Data Analytics MSc

Module code: CP50001 Credits: 10 Semester: Semester 2

Module code: CP51003 Credits: 20 Semester: Semester 1

This module will introduce the economic principles relevant to the energy sector. It will provide an overview of the tools typically used in performing economic analysis in the energy sector.

Module code: CP52002 Credits: 20 Semester: Semester 2

This module will introduce the economic principles relevant to the energy sector. It will highlight some of the most challenging economic issues facing the global energy complex. This will also cover sustainable development.

Module code: AC51011 Credits: 20 Semester: Semester 1

Develop theoretical and practical skills in understanding big data.

Study how to plan business goals of big data analysis and storage. Learn how to to process and analyse big data sets, and visualise and present results.

Module code: AC50001 Credits: 20 Semester: Semester 2

Machine learning (ML) is a rapidly growing field. It has the potential to revolutionise industries such as healthcare, finance, and transportation.

With a solid foundation in machine learning, you can:

• analyse vast amounts of data
• make predictions
• create intelligent systems

Module code: CP51009 Credits: 20 Semester: Semester 1

This module examines the economics of the oil and gas value chain to support decision making, including exploration and production (including licensing and taxation), transportation, refining, and marketing. It also covers the dynamics of oil and gas prices and their impact on the economy, and methods for monetising natural gas.

Module code: CP51047 Credits: 20 Semester: Semester 1

This module explores the theories and methods of economic regulation for tariff setting in network and regulated industries, e.g. electricity and gas transmission, distribution networks, and pipelines. It also analyses the economics of low carbon technologies such as renewable energy, e.g. wind and solar, electric vehicles, and hydrogen.

Module code: CP52071 Credits: 20 Semester: Semester 2

Module code: AC51002 Credits: 20 Semester: Semester 2

Module code: AC51046 Credits: 20 Semester: Semester 2

Explore how to create and structure webpages using HTML and Semantic Web Elements, and how to style them using Cascading Style Sheets (CSS). Create interactive websites using JavaScript.

Learn about the historical and social aspects of the web, as well as the core web technologies that make it possible.

Module code: AC51049 Credits: 20 Semester: Semester 1

Learn about various database architectures, with an emphasis on relational databases.

You will explore how databases can be used to power software applications. You will also develop a database solution firsthand.

Module code: AC52001 Credits: 20 Semester: Semester 2

Learn about various database architectures, with an emphasis on relational databases.

You will explore how databases can be used to power software applications. You will also develop a database solution firsthand.

Module code: GE52024 Credits: 20 Semester: Semester 2

Module code: BU52018 Credits: 20 Semester: Semester 2

This module introduces students to a variety of statistical methods useful for decision-making. It gives students the quantitative skills to use data to make informed business decisions.

Module code: CP50051 Credits: 30 Semester: Semester 2

Module code: CP51012 Credits: 30 Semester: Semester 2