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Data Science: Machine Learning, Artificial Intelligence & Marketing Analytics Course Outline

Master Machine Learning, Artificial Intelligence and Marketing Analytics from the ground up. Learn to build predictive models, work with modern AI tools, and apply data-driven decisions to real marketing problems.

The program combines Python, statistics, ML frameworks and hands-on marketing analytics projects, so you graduate with a portfolio ready for junior Data Scientist or Marketing Analyst roles.

450hours
180hours of practicum
updated in2026

Get a state-issued certificate for your job

Answering the questions

The Data Science: Machine Learning, Artificial Intelligence & Marketing Analytics programme lasts 16 months, 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.

The next intake starts on 1 March 2027 in Lisbon. Places in each group are limited, so applications close once the group is full.

Tuition is 2900€. 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.

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.

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 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.

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.