Artificial Intelligence and Deep Learning

 

MSc

The Departments of Electrical & Electronics Engineering and Industrial Design & Production Engineering of the University of West Attica (UNIWA), Athens, Greece, offer this Master of Science Program (MSc) to give the students both the theoretic backbone and the practical, hands-on experience in the fields of Artificial Intelligence and Deep Learning.

The MSc (in greek “ΠΜΣ – Τεχνητή Νοημοσύνη και Βαθιά Μάθηση”) aims to address the market demand for professionals capable of designing, developing and applying artificial intelligence and deep learning algorithms in various sectors of the economy including health, industry, education (e.g., emotional intelligence and affect cognition), engineering (e.g., unmanned vehicles) and culture.

Graduates will be able to combine artificial intelligence and deep learning techniques with other technologies like big data and analytics, for decision making.

Emphasis of the curriculum is placed on providing the students with hands-on experience: educational material, projects and tools from the Deep Learning Institute of NVIDIA are integrated in the curriculum, while students are given direct access to GPU infrastructure and hardware throughout their studies.

 

Who is it for?

University graduates who hold a degree in Sciences or Engineering and who want to specialize in Artificial Intelligence and Deep Learning.

Working professionals who want to benefit from the new opportunities created by Artificial Intelligence and Deep Learning.

Image for Artificial Inteligence by Gerd Altmann from Pixabay

 

Aims

  • Scientific and technological excellence in the field of Artificial Intelligence and Deep Learning

  • Implementation of solutions that involve deep learning in a wide spectrum of sectors (hands-on experience)

  • Project-based learning, powered by Artificial Intelligence and Deep Learning methods

  • Liaison with the business world: collaboration with innovative companies for the transformation of knowledge into practical implementations

  • International cooperation with research teams to boost innovation and excellence

 

About the University of West Attica

The University of West Attica (UNIWA) was founded in 2018 after the merger of two metropolitan Technological Education Institutes in the Athens-Egaleo area in Greece, namely, the Technological Education Institute of Athens and the Piraeus University of Applied Sciences.

Today, UNIWA includes twenty-seven departments, organized into six Schools, covering a wide range of disciplines. The School of Public Health, the School of Management, Economics and Social Sciences, the School of Food Sciences, the School of Health and Welfare Sciences, the School of Applied Arts and Culture and the School of Engineering. The Schools’ fields of study cover a wide range of modern science, including social, administrative and economic sciences, engineering sciences, health and welfare sciences, food sciences and art studies.

UNIWA offers quality undergraduate, graduate and doctoral study programs in all these fields. It is the third largest university in Greece in terms of enrolled student numbers.

 

Overview of the MSc Program

Big Data & Analytics

Graduates will be able to combine artificial intelligence and deep learning techniques with other technologies like big data and analytics, for decision making.

Hands-On Experience

The importance of hands-on experience and of the expertise thus gained by the students is guaranteed by the project-based assessment method adopted in all courses.

NVIDIA DL Institute

Educational material, projects and tools from the Deep Learning Institute of NVIDIA are integrated in the curriculum, while students are given direct access to GPU infrastructure and hardware.

Instructors

All courses are taught by UNIWA professors with expertise in the corresponding fields, by professors from other Greek Universities and by tutors certified in Deep Learning education.

Languages

The MSc has been designed as an internationally oriented program: course material is in English while lectures are in Greek with an English option, in case of international students.

Organizers

The MSc program is co-organized by the Department of Electrical and Electronics Engineering and the Department of Industrial Design and Production Engineering of UNIWA.

 

Tools used

Tensor Flow
Image of nVidia Jetson logo
Image of colab logo
Image of PyTorch logo

 

AI companies providing tools

Image of Google AI logo
Image of nVidia logo
Image of Facebook AI logo
Edge Impulse
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