Why Power Engineers Need Data Analytics and AI Skills

Power system reliability now depends not only on equipment, but also on our ability to analyse data accurately, forecast operating conditions, detect anomalies and make decisions.

The 01.04.04 Artificial Intelligence in Electric Power Engineering master's programme trains specialists at the intersection of energy, data, AI and digital technologies.

What does the curriculum include?

Python;

data analytics;

machine learning;

systems analysis;

cybersecurity;

digital technologies in power engineering.

These are not abstract AI concepts but tools for practical industry challenges, including equipment diagnostics, digital energy facilities, forecasting and intelligent control.

Applications are open until 17 August.

There is still time to strengthen your engineering skills and enter one of the energy sector's most technology-intensive fields.