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Certificate On Campus

Advanced Data Analytics in Physiology University of Pisa

Highlights
Tuition fee
750 EUR / full
750 EUR / full
Unknown
Tuition fee
750 EUR / full
750 EUR / full
Unknown
Duration
6 days
Duration
6 days
Apply date
Unknown
Apply date
Unknown
Start date
Unknown
Start date
Unknown
Campus location
Pisa, Italy
Campus location
Pisa, Italy
Taught in
English
Taught in
English

About

The Summer School is designed for graduate and PhD students, as well as post-doc researchers and professionals seeking to enhance their expertise in biomedical data analytics and physiological modeling, offering a blend of theoretical insights and practical applications.

Overview

The 2nd IEEE-EMBS International Summer School on Advanced Data Analytics in Physiology is organized by the IEEE EMBS Technical Community on Biomedical Signal Processing and the IEEE EMBS Technical Community on Cardiopulmonary Systems and Physiology-based Engineering.

This unique program offers a comprehensive curriculum that covers both fundamental and advanced topics in physiological data analytics, including:

  • Advanced Signal Processing: Techniques and methods for analyzing complex biomedical signals.
  • Cardiopulmonary System Modeling: Understanding and simulating the dynamics of the cardiopulmonary system.
  • Cardiovascular Signal Processing: Analysis and interpretation of cardiovascular mathematics for clinical and research applications.
  • Neural Data Analysis: Exploring data-driven approaches to understand neural signals and brain activity.
  • Brain-Heart Axis Modeling: Investigating the interactions between neural and cardiovascular systems. 
  • Physiology-based Statistical Inference: Applying statistical methods to physiological data for robust conclusions.
  • Multiscale and Complex System Network Modeling: Analyzing physiological systems across different scales and understanding their interconnections.

The Summer School is designed for graduate and PhD students, as well as post-doc researchers and professionals seeking to enhance their expertise in biomedical data analytics and physiological modeling, offering a blend of theoretical insights and practical applications.

Students interested in obtaining the 5 ECTS credits are required to agree with the Summer School coordinator on a Project Work topic, and then submit their written report no later than 19 July 2027 (pdf submission by email to gaetano.valenza@unipi.it).

The Summer School will be activated with at least 25 students. The maximum number of participants is set to 100 students.

The Summer School will be held on campus, in Pisa, at (1) Centro congressi Le Benedettine, Piazza San Paolo a Ripa D’Arno, 16, and (2) Officine Garibaldi, Via Vincenzo Gioberti, 39.

Programme Structure

The aim of the IEEE-EMBS International Summer School on Advanced Data Analytics in Physiology is to provide participants with a deep understanding of advanced data analytics techniques applied to physiological systems.

The program is designed to bridge the gap between theoretical knowledge and practical application, empowering attendees to tackle complex challenges in biomedical signal processing, physiological modeling, and data-driven healthcare solutions.

By bringing together leading experts, the school aims to foster interdisciplinary collaboration, inspire innovative research, and equip participants with cutting-edge skills essential for advancing the field of biomedical data analytics.

Audience

Undergraduate and PhD Students, post-doc researchers, data analytics professionals.

Key information

Duration

  • Full-time
    • 6 days

Start dates & application deadlines

Language

English

Credits

5 ECTS

Delivered

On Campus

Campus Location

  • Pisa, Italy

What students do after studying Computer Science & IT

This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes

Total alumni
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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Admission Requirements

A CV, a motivation letter and a short biosketch are required for general applications.

Required Documents
  • Identity Document (*PASSPORT in case you are a foreign student*)
  • Enrolment Form
  • Curriculum Vitae
  • Motivational letter
  • Short biosketch
  • Letter signed by the PhD Program Supervisor or PhD Tutor (only for those applying for the scholarship)

All the documents must be in pdf format, in order to upload them on the portal when required.

Application has to be submitted via Alice portal following the instructions of the "How to apply" page.

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Pisa and/or in Italy, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    750 EUR / full
    ≈ 750 EUR / full
  • EU/EEA

    EU/EEA Nationals
    750 EUR / full
    ≈ 750 EUR / full

Living costs

Pisa

Italy
750 - 1100 EUR / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

There are a few scholarships sponsored by the IEEE Engineering in Medicine and Biology Society.

The number of scholarships available is currently being finalized and will be announced as soon as possible.

Applications for scholarships to attend the 2nd IEEE-EMBS International Summer School on Advanced Data Analytics in Physiology will be accepted from 9 November 2026 to 15 January 2027. Applicants must submit a brief letter of support from their PhD advisor, a motivation letter, a short biosketch, and a full scientific CV.

Selection outcomes will be communicated by 31 January 2027.

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