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Master Year 2 in Digital Skills for Health Transformation (DS4Health)

Master Year 2 in Digital Skills for Health Transformation (DS4Health)
Master Year 2 in Digital Skills for Health Transformation (DS4Health)
Year

Master Year 2

Program

Master in Digital Skills for Health Transformation

ECTS Credits

60

Language

English

Orientation

Industry and Research

Locations

Palaiseau Campus and Online

Course duration

12 months, full time

Course start

September

Degree awarded

Master’s degree

DS4Health will design and deliver an international Master’s programme in digital health. It will address the key applications Artificial Intelligence, Cybersecurity, Data, Robotics, and Internet of Things. DS4Health will improve higher education for healthcare professionals in digital skills and deepen insight in design, use, and development of digital technologies to form a modern, ethically responsible, efficient and citizen-centred healthcare. The programme considers specifically soft skills, entrepreneurship and a citizen centred, application-driven co-design approach supporting to aim the digital agenda, and societal challenges. The DS4Health Master Programme seeks to leverage competences to advance science and technology by researching the implications of the advancement of digital health technology for patient engagement and care delivery, and will so serve as an incubator for evaluating and promoting digital health ideas and solutions for providers and patients in Europe.

Objectives

The DS4Health program has the following aims:

  • To give a broad overview and a deeper understanding of digital health, including the different types of solutions available, how they can be used, the obstacles to their successful implementation, and how patients in the EU will be impacted as digital health advances. 
  • To offer an international master's program in digital health with the goal of enhancing higher education and broadening the scope of advanced technology training available to future healthcare professionals, particularly in the realm of digital skills.
  • To bring the training of digital healthcare professionals to a higher level.
  • To increase the possibility for students to be trained in advanced technologies.
  • To provide students with essential support and resources to gain theoretical knowledge with digital skills to develop and incubate digital technologies for health. 
  • To equip students with an understanding of the application of artificial intelligence, wider informatics applications, and their application in healthcare. 
  • To provide students with the skills to critically evaluate the evidence of the effectiveness of new technologies in healthcare
  • To understand the role of digital health in reducing health inequalities and improving access to populations with access issues.
  • To comprehend the regulations, governance, and public acceptability of new technologies in healthcare.
  • To create a world leading, multiple locations training programme to specialize in digital for healthcare.

Upon finishing the master program, you will have the flexibility to make choices such as launching a successful career or seeking career advancement opportunities in the ICT or Healthcare industry. Additionally, you can explore career options in academia or other research and development organizations as a researcher. Potential career paths include roles like clinical information manager, informatics manager, UX designer, application and systems developer, data analyst, healthcare systems consultant, and health systems and services manager.

If you work in the health or medical field, this course will empower you to strategically position yourself to potentially influence policies while leveraging established and emerging technologies to enhance the quality and effectiveness of your work.

Probabilistic Models and Machine Learning 3 ECTS
English
Explainable and Trustworthy AI 3 ECTS
English
Statistical Learning Theory 3 ECTS
English
Big Data Infrastructures 3 ECTS
English
High-Dimensional Statistics 3 ECTS
English
Hidden Markov Models and Sequential Monte Carlo Methods 3 ECTS
English
Practical C and Java Programming, Algorithms, and Data Structure 4 ECTS
English
Business Models for Impact in a Digital World 4 ECTS
English
Research Workshop 4 ECTS
English
Autonomous systems: smart home application 3 ECTS
English
Machine Learning for Robotics 3 ECTS
English
Human-Computer Interaction for Mixed Reality 3 ECTS
English
Immersion and interaction with virtual worlds 3 ECTS
English
Introduction to Systems Security 5 ECTS
English
Introduction to Information Theory 5 ECTS
English
Business Models for Impact in a Digital World 4 ECTS
English
Research Workshop 4 ECTS
English

Master’s thesis (mandatory), at least 4 months, recommended 5-6 months - 30 ECTS

Admission prerequisites

Degree level

M2: Completion of the first year of a Master in DS4Health at Institut Polytechnique de Paris or equivalent in France or abroad.

All students must :

  • Have excellent academic records in fundamental computer science and healthcare
  • Have validated courses similar to those in the Master Year 1 in DS4Health

Language prerequisites

In order for a student to be eligible to be recruited, a minimum of a B2 level in English is required, while a C1 level is recommended.

How to apply

Applications can be submitted exclusively online. You will need to provide the following documents:

  • Transcript
  • Two academic references (added online directly by your referees)
  • CV/resume
  • Statement of purpose

You will receive an answer in your candidate space within 2 months of the closing date for the application session.

Fees and scholarships

Fees for 2023-2024 are :

Find out more about scholarships

Please note that fees and scholarships may change for the following year.

Applications and admission dates

Coordinator

Adriana TAPUS

Program office

Adriana TAPUS

General enquiries

master-admission@ip-paris.fr

Description

DS4Health will design and deliver an international Master’s programme in digital health. It will address the key applications Artificial Intelligence, Cybersecurity, Data, Robotics, and Internet of Things. DS4Health will improve higher education for healthcare professionals in digital skills and deepen insight in design, use, and development of digital technologies to form a modern, ethically responsible, efficient and citizen-centred healthcare. The programme considers specifically soft skills, entrepreneurship and a citizen centred, application-driven co-design approach supporting to aim the digital agenda, and societal challenges. The DS4Health Master Programme seeks to leverage competences to advance science and technology by researching the implications of the advancement of digital health technology for patient engagement and care delivery, and will so serve as an incubator for evaluating and promoting digital health ideas and solutions for providers and patients in Europe.

Objectives

The DS4Health program has the following aims:

  • To give a broad overview and a deeper understanding of digital health, including the different types of solutions available, how they can be used, the obstacles to their successful implementation, and how patients in the EU will be impacted as digital health advances. 
  • To offer an international master's program in digital health with the goal of enhancing higher education and broadening the scope of advanced technology training available to future healthcare professionals, particularly in the realm of digital skills.
  • To bring the training of digital healthcare professionals to a higher level.
  • To increase the possibility for students to be trained in advanced technologies.
  • To provide students with essential support and resources to gain theoretical knowledge with digital skills to develop and incubate digital technologies for health. 
  • To equip students with an understanding of the application of artificial intelligence, wider informatics applications, and their application in healthcare. 
  • To provide students with the skills to critically evaluate the evidence of the effectiveness of new technologies in healthcare
  • To understand the role of digital health in reducing health inequalities and improving access to populations with access issues.
  • To comprehend the regulations, governance, and public acceptability of new technologies in healthcare.
  • To create a world leading, multiple locations training programme to specialize in digital for healthcare.

Upon finishing the master program, you will have the flexibility to make choices such as launching a successful career or seeking career advancement opportunities in the ICT or Healthcare industry. Additionally, you can explore career options in academia or other research and development organizations as a researcher. Potential career paths include roles like clinical information manager, informatics manager, UX designer, application and systems developer, data analyst, healthcare systems consultant, and health systems and services manager.

If you work in the health or medical field, this course will empower you to strategically position yourself to potentially influence policies while leveraging established and emerging technologies to enhance the quality and effectiveness of your work.

Probabilistic Models and Machine Learning 3 ECTS
English
Explainable and Trustworthy AI 3 ECTS
English
Statistical Learning Theory 3 ECTS
English
Big Data Infrastructures 3 ECTS
English
High-Dimensional Statistics 3 ECTS
English
Hidden Markov Models and Sequential Monte Carlo Methods 3 ECTS
English
Practical C and Java Programming, Algorithms, and Data Structure 4 ECTS
English
Business Models for Impact in a Digital World 4 ECTS
English
Research Workshop 4 ECTS
English
Autonomous systems: smart home application 3 ECTS
English
Machine Learning for Robotics 3 ECTS
English
Human-Computer Interaction for Mixed Reality 3 ECTS
English
Immersion and interaction with virtual worlds 3 ECTS
English
Introduction to Systems Security 5 ECTS
English
Introduction to Information Theory 5 ECTS
English
Business Models for Impact in a Digital World 4 ECTS
English
Research Workshop 4 ECTS
English

Master’s thesis (mandatory), at least 4 months, recommended 5-6 months - 30 ECTS

Admission prerequisites

Degree level

M2: Completion of the first year of a Master in DS4Health at Institut Polytechnique de Paris or equivalent in France or abroad.

All students must :

  • Have excellent academic records in fundamental computer science and healthcare
  • Have validated courses similar to those in the Master Year 1 in DS4Health

Language prerequisites

In order for a student to be eligible to be recruited, a minimum of a B2 level in English is required, while a C1 level is recommended.

How to apply

Applications can be submitted exclusively online. You will need to provide the following documents:

  • Transcript
  • Two academic references (added online directly by your referees)
  • CV/resume
  • Statement of purpose

You will receive an answer in your candidate space within 2 months of the closing date for the application session.

Fees and scholarships

Fees for 2023-2024 are :

Find out more about scholarships

Please note that fees and scholarships may change for the following year.

Applications and admission dates

Coordinator

Adriana TAPUS

Program office

Adriana TAPUS

General enquiries

master-admission@ip-paris.fr