In the second semester, students usually choose three modules from the list of elective subjects offered.
Development of web-interfaces for visualizing data in energy industry
This module focuses on creating modern frontend solutions for displaying data obtained from Internet of Things (IoT) devices in the energy sector. Students learn to build interactive dashboards that allow real-time monitoring of the energy grid status and visualization of complex data arrays for system operators.
Intellectual systems for decision support in the energy industry
The course is dedicated to methods of artificial intelligence and decision support algorithms. Students learn how intelligent systems can help in managing energy consumption, forecasting network loads, and automating responses to critical situations in the energy system.
Backend development for IoT interfaces
Module focused on developing the backend for IoT ecosystems. Training covers database architecture design, working with data transmission protocols from sensors, and creating reliable APIs that ensure stable communication between the hardware components of energy objects and user interfaces.
Mathematical simulation for the sustainable energy industry
The discipline provides a mathematical toolkit for modeling processes in sustainable energy. Students learn to create mathematical models to optimize the operation of energy systems, which allows for increased efficiency and reduced resource costs.
Research methodology in energy industry
This module (also known as “Scientific research methodology”) was developed at the recommendation of international experts to enhance the scientific component of the program. It prepares students for writing a master’s thesis and future academic career (PhD), teaching data collection methods, critical analysis of literature, and structuring scientific research.
GIS and remote sensors for sustainability
The module introduces students to the use of geographic information systems (GIS) and remote sensing data in the energy sector. Students learn to use spatial data for planning the placement of renewable energy facilities, monitoring power transmission line routes, and assessing the environmental impact of energy projects.
Materials science in energy industry
The course focuses on studying the properties of materials used in creating equipment for renewable energy (such as solar panels, wind turbines, etc.). Knowledge of materials science allows future graduates to understand the physical limitations of technologies and develop more durable and efficient engineering solutions.
Why are these modules important? Thanks to such a wide range of options, graduates of IT4SEE acquire “hybrid” skills: they not only develop software, but also understand the specifics of physical processes in energy and the requirements for sustainable development. All modules have undergone validation procedures and comply with standards of London South Bank University (LSBU)