Master in Data Science Computing Sciences And Electrical Engineering

The tuition fee is 14,018 USD per year. The deadline to apply for the Mar 2027 intake is Dec 15, 2026.

Students who thrive in this programme are those driven to decode the complex, data-heavy systems that underpin modern society—from the logic behind autonomous vehicle navigation to the predictive power of global streaming platforms. By bridging the gap between computer science, mathematics, and statistics, you will gain the technical fluency to transform vast, unstructured datasets into actionable knowledge and impactful real-world solutions.

This specialisation places a rigorous emphasis on the algorithmic and computational foundations of artificial intelligence and machine learning. You will move beyond surface-level application to master deep learning with neural networks, probabilistic modelling, and advanced network analysis. Central to the programme is the ability to not only build these models but to critically interpret results and communicate them effectively to decision-makers through sophisticated visualisations.

Three Pillars of Big Data Specialisation

The curriculum is designed as part of a wider trio of expertise, allowing you to tailor your focus:

• Data Science (MSc): A deep dive into algorithmic and computational AI foundations.
• Statistical Data Analytics (MSc): A focus on the statistical rigour of data mining.
• Signal Processing and Machine Learning (MSc Tech): A dedicated path toward building highly accurate predictive models.

Graduates emerge as interdisciplinary experts capable of navigating the entire data science lifecycle, ready to tackle challenges in fields ranging from high-stakes medical research and autonomous robotics to finance, journalism, and public policy.