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Free University of Bozen-Bolzano

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Master in

Smart Technologies for Sports and Health

Our two-year master equips students with interdisciplinary skills to design smart technologies for sports and health. They gain expertise at the intersection of innovation, technology, and well-being. 

Course description

This full-time master programme trains engineers able to design intelligent embedded systems and cognitive robotic systems for sports and health applications.  
Students will benefit from an interdisciplinary education, including courses in computer engineering, biotechnology and biomedical sciences, electrical engineering, and automation and robotics, to address key societal challenges in sports and health. This programme is grounded in South Tyrol while maintaining a strong international outlook. This is guaranteed by being taught entirely in English with teaching staff as well as students coming from Italy, Europe and the entire world. 

Courses combine theory and engineering practice. Lecture halls are equipped with modern technology to enable hybrid and distance learning, and e-learning tools are used to complement and support lectures. Laboratory and project activities are seamlessly integrated into the programme and students have access to state-of-the-art software tools and equipment in the various laboratories associated with the programme at our Campus NOI Techpark.

Courses are taught by leading research professors from unibz, supported by experts from relevant industries. In-class learning is further enriched by experiential learning activities that build bridges between courses and between academia and industry.Upon graduation, students can take the Italian state examination for the profession of Ingegnere dell’informazione (Information Engineer) and after passing this examination to join the Ordine degli Ingegneri (Italian Chamber of Engineers) - Section A. 

Online Info Session

We offer online information sessions in the coming months during which the master programme will be presented and where interested students can address their questions to professors and students. The Info Sessions take place on the following days:

  • to be defined

At a glance

Master class: LM-32
ECTS credits: 120
Duration of the course: 2 years
Courses will be taught in English
Places available: 18 EU + 7 non-EU
Campus: NOI Techpark Bozen-Bolzano
Tuition fees: ca. € 1200 per year 

Structure of the course

In the first part of the programme (45 ECTS credits), teaching activities are offered that provide targeted knowledge in the fields of computer engineering, bioengineering and biomedical sciences. The aim of these activities is to homogenise knowledge and to familiarise students with the modern and advanced methods required for the specialisation activities. 

The second part (52 ECTS credits) is dedicated to deepening students’ knowledge in embedded systems and cognitive robotic systems, and to attending elective courses of up to 12 ECTS credits. Teaching activities in this second phase focus on experimental laboratory activities and experiential learning embedded in the respective courses to develop the students‘analytical and design skills. Through these activities, students will also encounter companies active in the field. Special attention is also paid to the development of soft skills such as teamwork and communication skills. 

The third and final part (20 ECTS credits) is dedicated to researching for and writing the master thesis. Students have the option of writing their master thesis in house at unibz or in cooperation with local or international companies.  

Our Facilities

At the NOI Techpark Bozen-Bolzano Campus students will have access to a variety of state-of-the-art laboratories, where practical activities and lectures take place. Students have the opportunity to learn in a modern environment, living a hands-on learning experience that prepares them for their future careers in different fields.

Electronics engineering: 

Automation and Robotics engineering: 

Computer Engineering: 

  • Collective Design and Ideation Lab

  • Physical Computing Lab

  • User Experience Lab

  • Data Driven Artificial Intelligence Lab

  • Cybersecurity Laboratory

Study course structure

People

Degree Course Director: Prof. Angelika Peer 
Student Representative in the Course Council: Marco Panizzo

Exchange programmes and internships

Currently we offer exchange programmes with partner universities all over the world and we are part of a large network of collaboration with employers in Italy and abroad where you can undertake an optional internship with a maximum of 300 hours.

Career Opportunities

Our graduates will be able to design, implement and validate embedded systems and cognitive robotic systems for sport and health, mastering technologies across hardware and software layers. They will integrate sensors and actuators with embedded artificial intelligence, address security and privacy, and interact with users based on human factors principles to enhance physical and mental health as well as performance.  The programme provides students with the tools for a career as an engineer or consultant in companies that provide products and services for health, rehabilitation, fitness and sport, or as a researcher in public and private research institutions working in the field of information technology for sport and health.

Well prepared and ready for the job market. On the website of AlmaLaurea you can check statistical data about graduates’ satisfaction and their employability. 

Highlights

Studying at unibz

Living in South Tyrol, Housing, Scholarships, Single Subject Courses and more

Coming to unibz from Abroad

Everything you need to know as a degree-seeking applicant or as an incoming exchange student

Application and Admission

You can find all you need to know in order to apply and gain admission to this study programme by browsing through the information below.

Subject to accreditation of the Ministry.

Early Bird Application

Application: 03/03 - 06/05/2025 (by noon local time)
Language exams (online): 17/03/2025 (registration: 03 – 09/03/2025) and 16 -17 - 22 - 23/04/2025 (registration: 24/03 – 08/04/2025)
Publication of ranking lists: by 27/05/2025
Payment of the 1st instalment of the tuition fees: by 05/06/2025 (by noon local time)
Enrolment: from 11/07 - 14/10/2025 (by noon local time) 

Late Application (only for EU citizens)

Application: 28/05 - 09/07/2025 (by noon local time)
Language exams (online): 23 - 27/06/2025 (registration: 28/05 – 15/06/2025)
Publication of ranking lists: by 29/07/2025
Payment of the 1st instalment of the tuition fees: by 05/08/2025 (by noon local time)
Enrolment: from publication of the ranking list until 14/10/2025 (by noon local time) 

Additional Application Session (only for EU citizens)

The faculty can open additional application sessions for single study programmes in August and in September if there are available places. More information on additional sessions will be published in due course.  

Preparatory courses and Freshers Days

Freshers Days: 29 - 30/09/2025

1st semester

Classes: 29/09 - 23/12/2025
Holidays: 24/12/2025 - 06/01/2026
Classes: 07/01 - 24/01/2026
Exams: 26/01 - 21/02/2026

2nd semester

Classes: 02/03 - 02/04/2026
Holidays: 03 - 06/04/2026
Classes: 07/04 - 13/06/2026
Exams: 15/06 - 11/07/2026

Autumn session

Exams: 24/08 - 26/09/2026

The Advisory Service provides support regarding your choice of study. In many cases a simple call or a short request is enough to get the relevant information (Tel. +39 0471 012100).