Communications Engineering and Data Science University of Lisbon

Overview

The M.Sc. in Communications Engineering and Data Science (CoDaS) is a prestigious programme that stands out due to its collaborative nature, involving multiple renowned European universities. The University of Lisbon partners with Aalto University in Finland, Grenoble INP Institute of Engineering in France, TU Braunschweig in Germany, and UPC in Spain. This cooperation enhances the educational experience, allowing students to benefit from diverse teaching methodologies and resources. The programme is designed to foster innovation in technology and engineering, aligning with the goals of the Unite! University Network, which aims to create a more integrated European higher education landscape.

For international and European students, the tuition fee for the M.Sc. in Communications Engineering and Data Science is EUR 8,000 per year. Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum of the CoDaS programme is structured to provide a robust foundation in both communications engineering and data science. Key components of the syllabus include:

• Fundamentals of Communications Engineering
• Data Science Techniques
• Machine Learning Applications
• Signal Processing
• Network Design and Management
• Data Analytics and Visualisation
• Research Methodologies
• Project Management in Engineering

Students will engage in both theoretical and practical learning, ensuring they are well-equipped for the demands of the industry.

The programme includes opportunities for students to gain practical experience through partnerships with various industries. This ensures that graduates not only acquire theoretical knowledge but also develop essential skills through real-world applications.

Graduates of the M.Sc. in Communications Engineering and Data Science are well-prepared for diverse career paths. Alumni have found positions in leading technology firms, telecommunications companies, and data-driven organisations. Potential job roles include Data Scientist, Network Engineer, Systems Analyst, and Research Scientist, among others. The interdisciplinary nature of the programme opens doors to various sectors, including finance, healthcare, and information technology, making graduates highly sought after in the job market.