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ABOUT - Applied Artificial Intelligence and Its Mathematical Foundations

About the course

This postgraduate degree focuses on providing an in-depth understanding of the mathematical foundations of applied Artificial Intelligence (AI), from statistics and linear algebra to advanced techniques and implementation of AI methods in state-of-the-art programming languages.

AI is transforming various industries, and understanding its mathematical foundations provides a competitive advantage in the job market. This degree prepares students to apply their knowledge in a variety of fields, adapting to current demands, ranging from the most basic research to solving real problems in both industry and biosciences.

The teaching staff is made up of renowned experts in applied AI, both from the UPV/EHU and from research centres and technology companies. Their experience guarantees quality teaching with industrial applications in a complex and constantly evolving field.

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Places available

40

Mode

Face-to-face masters course

Language

English

Calendar

2025 March

2025 September

No. of credits

30 ECTS Credits

Approximate fees

2.000 €

Teaching place

Facultad de Ciencia y Tecnologia

Responsible

Faculty of Science and Technology

Contact


946 01 2504

REASONS - Applied Artificial Intelligence and Its Mathematical Foundations

4 REASONS TO STUDY THIS MASTER

  • Understand the basics of applied AI for the development of efficient algorithms.
  • Learn to implement solutions to complex, real-world problems in research and industry using AI techniques.
  • Offer interdisciplinary applications in a constantly evolving field.
  • Prestigious inter- and multi-disciplinary teaching staff from different institutions and experts in applied AI expertise.

IRUDIA - Adimen Artifizial Aplikatua eta bere Oinarri Matematikoak

OPPORTUNITIES - Applied Artificial Intelligence and Its Mathematical Foundations

Career opportunities

Career opportunities cover all types of profiles:

  • Research in mathematical methodology or applied research.
  • Data scientist in various sectors (industry 4.0, energy, health, finance, etc.).
  • Development of AI solutions for optimisation, natural language processing, virtual reality, among others.
  • Advisory functions on AI ethics and policy.
  • Consultancy on AI strategy and implementation.
  • Entrepreneurship in AI-based startups.

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