Ver o conteúdo principal

Postgraduate Program in Health Data Science and Analytics

Healthdatascienceanalitics (1)

Postgraduate Program in Health Data Science
and Analytics

The Postgraduate Program in Health Data Science and Analytics is specifically designed for healthcare professionals who aim to acquire advanced skills in managing, interpreting, and making strategic, data-driven decisions within the health sciences field.

The program develops essential analytical skills for data analysis and management in health sciences, addressing key questions in public health, biomedical sciences (biology, medicine, physiology, and pharmacology), and various decision-making levels within healthcare organizations.

With a flexible and adaptable curriculum tailored to each student's personal and professional goals, the program enables a customized learning path. Students can choose courses in high-demand areas, structured around three key pillars to promote:

  • Proficiency in applying analytical methods in healthcare;
  • The ability to manage and analyze large volumes of data, information, and knowledge within healthcare organizations;
  • Understanding of technological innovation and the transformation of business models in the healthcare sector.

Applications for this program are open until April 10th, 2025. To apply, click here.

Brochure

To download, please enter the following informations
Download
Contact us
Apply here
  • Vagas

    Format

    After working hours

  • Media

    Length and ECTS

    2 semesters (60 ECTS)

  • Semestres

    Attendance

    2 to 3 times a
    week

  • Lingua

    Start Date

    September 2025

Goals

  • Meet the challenges of the new healthcare market using the instruments of planning and management control in healthcare organizations;

  • Know and manage the processes of innovation and change, as well as customer relationships in the new healthcare market;

  • Introduce the principles of Information and Knowledge Management to promote the competitiveness of organizations working in the health sector;

  • Understand the process of Business Intelligence and manage the infrastructure components of BI - people, processes, and technologies;

  • Use analytical applications monitoring the performance of organizations, and identify key indicators of the analytical applications in healthcare.

Who is it for? image

Who is it for?

This program is designed for professionals in the healthcare sector, including Medicine, Pharmacy, Biomedical Sciences, Public Health, Nursing, and others working in health institutions, pharmaceutical companies, health insurance providers, technology companies (HealthTech), the medical devices and clinical diagnostics industry, laboratories and clinical research centers, specialized healthcare consulting firms, and public administration in the healthcare sector.

It is also intended for professionals from related fields such as Information Management, Statistics, Applied Mathematics, Economics, and Management, who wish to acquire advanced skills in data science and analytical methods applied to the healthcare sector.

Study plan

To complete the program, students must earn a minimum of 60 ECTS, distributed across the main subject areas (Data Science, Data Management, and Health Market) and elective courses units.

Students must obtain at least 45 ECTS in the main subject areas (meeting the minimum requirements per area) and may take up to 15 additional ECTS in elective courses. These electives include course units not previously selected from the main areas, as well as others specifically offered as optional.

Students may enroll in a maximum of 75 ECTS, although only 60 ECTS are required for program completion.

Data Science Area

Successful completion of at least 22.5 ECTS:

Course Units Duration ECTS
AI and Machine Learning in Healthcare Semester-based 7,5
Biostatistics, Epidemiology and Public Health Semester-based 7,5
Data Analytics for Health Semester-based 7,5
Data Collection and Sampling for Health Data Semester-based 7,5
Data Visualization Semester-based 7,5
Regression Analysis Semester-based 7,5
Survival Analysis Semester-based 7,5
Course Unit
Loading...

  • modal item

    • card item

Data Management Area

Successful completion of at least 15 ECTS.

Course Units Duration ECTS
Blockchain and Health Data Management Semester-based 7,5
Computational Statistics I Semester-based 7,5
Databases and Digital Health Systems Semester-based 7,5
Course Unit
Loading...

  • modal item

    • card item

Health Market Area

Successful completion of at least 7.5 ECTS.

Course Units Duration ECTS
Clinical Trial Design Quarter-based 4
Innovation and Digital Transformation for Health Semester-based 7,5
New Healthcare Market Semester-based 7,5
Course Unit
Loading...

  • modal item

    • card item

Optional Curricular Units

Up to 15 ECTS (required only if 60 ECTS are not reached in the main areas. Includes units not previously selected and other specifically offered optional units).

Course Units Duration ECTS
Analysis of Discrete Data Quarter-based 4
Analysis of Variance Quarter-based 4
Forecasting Methods Quarter-based 3,5
Time Series Analysis Quarter-based 4
Course Unit
Loading...

  • modal item

    • card item

Admissions and fees

The Admissions' Jury Panel of NOVA IMS is looking for excellent students who have the potential to become good technical staff and excellent managers. Qualities such as maturity, determination and motivation, both in the academic path as well in a professional career, are some of the attributes that the Jury Panel is looking for.

1st  applications phase

Until April 10th, 2025.

Entry Requirements

To enter this program, applicants must meet the following requirements:

  • Hold a bachelor's degree in a compatible field (completed by September 2025);
  • Be proficient in English (spoken and written).

How to Apply and Selection Process

To apply, you need to access the NOVA IMS' Applications Portal and follow these steps:

  • Fill in the form available in the user area, namely:
    • Personal, academic and professional background;
  • Upload your Curriculum Vitae (this is the only mandatory document for the application). Although it is not necessary to attach any other documents, the applicant has the option of including other documents that they consider relevant to enrich their application, such as a certificate of completion of their Bachelor's and/or Master's degree. Please note that if you are admitted, you will need to submit your Bachelor's and/or Master's degree completion certificate, or a certificate of attendance if you have not yet completed your degree, within one month;
  • Choose the program;
  • Present the goals and motivation for applying to the program (limit 1,000 characters, including spaces);
  • Pay the application fee. After this last step, the applicant will receive an email confirming their submitted application.

The selection process is based on the analysis of academic and professional curriculum. The members of the Admissions’ Jury Panel may decide to hold an interview with all or some applicants - face-to-face or videoconference.

Application Fee

The fee of the application is €51. The application can only be considered after the payment of the application fee, within the stipulated period, non-refundable in case of withdrawal or non-admission in the program.

Registration Fee

After being admitted to the program and upon confirmation of enrollment, the applicant must make a payment of a pre-registration fee (around one week after the admission result announcement), deductible in this postgraduate program's tuition fee, non-refundable in case of withdrawal, with the following value:

  • €1.250 for applicants with a nationality from a European Union member country;
  • €2.500 for applicants of other nationalities, unless their registration fee is provided by an official entity.

Upon registration, students should make the following payments:

  • €35 - for enrollment fee (the value is updated annually);
  • €1.40 - for annual school insurance (the value is updated annually).

Tuition Fee

The tuition fee of this postgraduate program is:

  • € 4.100, for applicants with a nationality from a European Union member country;
  • € 4.900, for applicants of other nationalities.

Tuition Fee Payment Dates

The tuition fee of this postgraduate program can be paid in full or in four installments:

  • Full payment: September 25th to 30th, 2025.
  • Payment in four installments:
    • 1st: September 25th to 30th, 2025 (25% of tuition fee);
    • 2nd: November 25th to 30th, 2025 (25% of tuition fee);
    • 3rd: February 22nd to 28th, 2026 (25% of tuition fee);
    • 4th: April 25th to 30th, 2026 (25% of tuition fee).

Discounts

  • Financial discount: students who choose to pay the tuition fee in a single payment have a 2,5% discount on the payable amount;
  • NOVA IMS’ alumni who have completed a bachelor's, postgraduate, master's, or doctoral degree at NOVA IMS have a 20% discount on tuition fee, cumulative with the financial discount;
  • Companies that finance the program to at least 2 employees, in the same academic year, have a 10% discount on the tuition fee. This discount is not cumulative with other discounts;
  • Companies that finance the program to 3 or more employees, in the same academic year, have a 20% discount on the tuition fee. This discount is not cumulative with other discounts;
  • Participants from public health institutions have a 10% discount, not cumulative with other discounts.
  • Members of the Ordem dos Engenheiros – Região Sul, have 15% discount on tuition fees. This discount can be extended to members' spouses and descendants upon presentation of valid documentation. For more information, please contact admissions@novaims.unl.pt. This discount is not cumulative with other financial discounts.