Postgraduate Program in AI & Data for Business

Structuring data for strategic decisions

The exponential growth in data creation and storage generates new business opportunities, while leading to major technical and management challenges. New tools, methodologies and organizational changes are needed to take advantage of this growing data, popularly known as Big Data.

This postgraduate course includes the strategic, organizational and technological aspects of Big Data and its main challenges, allowing you to delve into the fundamentals of Data Science, including data preparation and modelling and the evaluation and implementation of models.

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Date

September 12, 2025 to January 16, 2026

Duration

5 months

Investiment

7.950€

Phased payment available

Investment and Payment Methods
Total Investment:: 7.950€
Recognizing the commitment that this investment represents, we offer the possibility of phased payment, divided into four different stages.

The formalization of the application implies:
- Registration fee: €250 (paid at the time of application);
- First payment: before the start of the program;
- Final payment: up to one month before the end of the program

Format

Hybrid

Two to three intensive days per month
Some Thursdays, Fridays and Saturdays from 8:30 a.m. to 5:30 p.m.

Learn about the online format

Language

Portuguese

Local

Carcavelos, Portugal

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Reasons for Choosing this Program

FOR YOU

Identify the business challenges that can benefit from analytics and Artificial Intelligence (AI) solutions
Identify all the necessary resources and risks associated with analytics and AI projects
Understand how to create business value through company and/or market data

FOR YOUR ORGANIZATION

Align the path to a data-driven organization with companies' strategic objectives
Ensure that key business opportunities are identified
Empower leaders with the language, knowledge and tools needed for organizations to be competitive

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Participant Profile
                                Managers who want to build and scale analytics and AI activities in their organizations
Directors who want to develop a data-driven culture in their organizations
Engineers who want to learn about the intersection between AI and business
Any industry such as health, finance, retail
Functional areas such as marketing, human resources, finance


                            

The Program

This postgraduate course has been designed to provide a dynamic experience, combining the best of both worlds: on-campus immersion and the convenience of the online format.

Compulsory Curriculum Plan - On-campus

Block of the syllabus dedicated to specific Postgraduate themes, based on a Learn & Apply methodology, which provides participants with the possibility of acquiring a transversal experience, being able to immediately apply the knowledge acquired by experimenting with the technology associated with each theme.

Optional Curriculum Plan - Online

To complement the experience, participants can choose between six curricular units, which take place online through a combination of e-resources and live classes. This structure makes it possible to develop and consolidate fundamental skills in management and leadership, with total flexibility.

Compulsory Curriculum Plan

Data Fundamentals
Python for Data Analysis
Data Curation and Data Visualization
Supervised Learning: Predictive Models
Assessing the Business Value of Predictive Models
Algorithm Bias and Ethics
Unsupervised Learning
Neural Networks and Deep Learning
Generative AI ( LLMS such as ChatGPT)
Tech Project Management and Delivery
Identifying, Prioritizing and Defining Projects and Data
Data Privacy and Protection
Pilot Studies and Digital Experimentation
Real World Case Studies
Workshop: Gen AI
Combining Data Initiatives and Organizational Strategy xml-ph-0015@deep

From Strategy to Action

People
Corporate Sustainability and Sustainable Finance
Innovation Drivers

Exclusive networking
Immersive on-campus experience
Participation in the BUILD UP initiative
Flexibility to manage your time
Autonomy in your learning path
Access to ongoing digital resources

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Learn More

Ten Data and Analytics predictions we can make in 2023 (according to Gartner), by Lénia Mestrinho

Imagem de meio circulo na cor dos cursos

Direção Académica

Rodrigo Belo

Diretor Académico

Lénia Mestrinho

Diretora Académica

Corpo docente

Conheça todos os docentes do programa

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Application Process

Fill in the form and pay the application fee of €100 (non-refundable if the applicant withdraws).
Communication of acceptance within 72 hours
Finalization of the application with the Program Advisor

Find out more about the enrollment policy

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