Aprenda do zero uma profissão de Tecnologia&IA muito procurada em 15 months + 2-4 months of internship

Ajudamo-lo a adquirir todas as competências de que precisa, a preparar projetos para o seu CV e a conseguir o seu primeiro emprego em Tecnologia&IA

Salário médio de Data Science - Data Science for Marketing

Após o curso poderá assumir uma posição de programador júnior e continuar a evoluir

JúniorApós o curso
€30.000por ano
Salário de Nível IntermédioApós o curso
€55 000por ano
Salário SéniorApós o curso
€70 000por ano

Data Science - Data Science for Marketing Programa do Curso

Unlock the power of Data Science with our comprehensive program designed for aspiring data analysts, marketers, and AI specialists. This course covers everything from Python programming, statistics, and machine learning to advanced AI techniques, NLP, and cloud computing.
450horas
180horas de estágio prático
atualizado em2026

Obtenha um certificado emitido pelo Estado para a sua profissão

Respostas às suas questões

The Data Science - Data Science for Marketing programme lasts 15 months + 2-4 months of internship, with a study load of ~3 h / day, 3 times a week. It covers 450 academic hours, including 180 hours of practicum.

Yes. Facultét (Disciplinas Imersivas LDA) is DGERT-certified and operates under Portuguese state educational licence No. 5116/2025, so graduates receive a state-recognised certificate of qualification.

The course runs in 40% offline + 60% online format. Classes are held at our Lisbon campus (Av. da República 51, 1495-110 Algés) and in Porto (Rua Augusto Rosa 79), with online participation available. Current groups: Lisbon, Porto.

The next intake starts on 21 September 2026 in Lisbon and Porto. Places in each group are limited, so applications close once the group is full.

Tuition is 3025€ (regular price 3450€). Interest-free monthly instalments are available, and residents of Portugal can qualify for a discount of up to 35%.

No prior experience is required. The programme starts from the fundamentals and about 40% of the time is hands-on practice with an instructor, so beginners and career changers can follow it from zero.

At Facultét, we use the widest range of cutting-edge tools and software, ensuring students gain hands-on experience with the most advanced technologies available. Our courses cover digital marketing, business analytics, programming, and software development, so the tools vary by specialization.

For digital marketing, we work with:

  • Google Analytics, Google Ads, Facebook Ads Manager, SEMrush, Ahrefs, HubSpot, WordPress – for data analysis, advertising, and content management.
  • Canva, Figma, Adobe Creative Suite – for design and branding.
  • Mailchimp, Klaviyo, ActiveCampaign – for email marketing automation. For development and data analysis, students work with:
  • Python, SQL, JavaScript, Git – for programming and data science.
  • Google Sheets, Excel, Power BI – for business analytics and reporting.
  • Cloud platforms (AWS, Google Cloud, Azure) – for cloud computing.

The time you need to devote to studying depends on your chosen program and your personal goals. On average, students spend around 6-10 hours per week on lessons, assignments, and projects. However, the flexibility of our programs allows you to adjust your schedule based on your availability and learning pace.

Here's what you need: а computer with a 1.8 GHz or higher dual-core processor and 4 GB or more of RAM. Windows 7 (or higher) or macOS 10.13 (or higher) operating system.

The training is conducted on an intuitive and easy-to-use online platform, where students can access lessons, assignments, and resources. The platform also offers opportunities for live interactions with instructors and classmates through webinars, discussions, and group projects. It is accessible from any device, allowing you to study at your own convenience.

Our program follows a blended learning approach, with 40% of the training conducted offline at our school and 60% on our online platform. This structure ensures hands-on experience and networking opportunities while maintaining the flexibility of online learning.