Bachelor in Data Science

3 Years On Campus Bachelors Program

University of Lisbon

Program Overview

The University of Lisbon offers a Bachelor's in Data Science through its Faculty of Sciences, designed for students passionate about technology and data who want to master cutting-edge tools like artificial intelligence and advanced computing to solve real-world problems. This program suits motivated individuals with a strong interest in math, stats, and programming—whether you're fresh out of high school or switching careers—preparing you for high-demand roles in industries handling big data.

 

### Curriculum Structure
Year 1 builds a solid foundation in core sciences and computing basics, introducing you to essential math and programming skills right away. You'll dive into courses like Applied Mathematics and Applied Statistics, alongside introductory programming, helping you grasp how data structures underpin everything from algorithms to real datasets. By the end, you'll feel confident tackling basic data challenges with a mix of theory and hands-on practice.

Year 2 ramps up with more specialized tools, focusing on data handling and analysis techniques that bridge math and tech. Key courses include Data Mining and elements of Biostatistics, where you'll learn to extract insights from complex datasets and apply statistical models. It's exciting how this year shifts you from basics to practical problem-solving, like visualizing trends in large-scale info.

Year 3 emphasizes advanced applications, integrating AI and engineering principles for professional-level projects. You'll explore Artificial Intelligence, Data Science core modules, and computation-heavy topics, culminating in a capstone that mirrors industry work. Graduates emerge ready to lead data-driven decisions, with skills honed through collaborative, multidisciplinary challenges.

Focus areas: Artificial intelligence, advanced computing technologies, data mining, statistical analysis, and big data processing—perfect for tackling modern challenges in tech and beyond.

Learning outcomes: You'll gain expertise in data acquisition, management, analysis, and visualization; integrate into diverse teams; stay ahead with research updates; and apply techniques in business, industry, or science.

Professional alignment (accreditation): The program aligns with ULisboa's accredited 1st-cycle Licenciatura degrees, recognized under Portuguese standards for science and tech fields, ensuring your qualification meets EU-level portability for careers or further studies.

Reputation (employability rankings): ULisboa drives strong job creation in data-related fields through its CoLABs, with 48% of roles filled by its participants (53% BSc grads like you), spanning health, energy, and digital sectors—backed by official stats showing high employability in data science across telecom, banking, and more.

Learn more and apply here: [Data Science at ULisboa](https://www.ulisboa.pt/en/node/22787). I'd love to chat about your background and next steps—let's get you started!

Experiential Learning (Research, Projects, Internships etc.)

In the Bachelor in Data Science at the University of Lisbon, you'll dive straight into hands-on learning that builds real-world skills in advanced computing technologies like artificial intelligence, right from the start of the program. Students get access to top-notch facilities across our Faculty of Sciences, including specialized research labs and a vast network of libraries, ensuring you have the tools to turn theory into practice. This practical focus prepares you to tackle data challenges with confidence, using the university's cutting-edge resources designed for innovation in fields like data science.

 

Here's how our experiential learning shines for Data Science students, drawing from ULisboa's dedicated setups at the Faculty of Sciences:

- Extensive library and computing resources: 59 libraries and documentation centers with 3,350 reading stations and 500 computer workstations, including those for special needs and full wireless access—perfect for data analysis and coding sessions.
- Research laboratories and units: Access to 14 R&D units at Faculdade de Ciências (20% of ULisboa's total), focused on Natural Sciences domains that align with data science, supporting hands-on research in computing and AI.
- High-performance computing tools: Workstations equipped for advanced data processing, integrated into the program's curriculum to master AI and other cutting-edge technologies.

For the full list of facilities, check out ULisboa's official page: https://www.ulisboa.pt/en/info/facilities (via university overview). Applying now means stepping into this dynamic world—let's get you started!

Progression & Future Opportunities

In the Bachelor in Data Science at the University of Lisbon, you'll dive into hands-on learning right from the start, mastering advanced computing technologies like artificial intelligence through practical projects and real-world applications designed to build your skills for today's data-driven jobs. Our Faculty of Sciences provides top-notch facilities, including specialized libraries and research units focused on natural sciences and data-related fields, giving you access to cutting-edge tools and collaborative spaces that make learning feel dynamic and relevant.

 

Here's what sets our experiential learning apart: you'll work with high-performance computer workstations, engage in group research projects, and tap into resources tailored for Data Science students:

- 500 computer workstations across ULisboa libraries, including those optimized for students with special needs and full wireless access, perfect for running data analytics software and AI simulations.
- 14 R&D units at the Faculty of Sciences, emphasizing natural sciences (like data processing and modeling) where Data Science students can join interdisciplinary group projects and research—home to thousands of researchers driving innovation.
- 59 specialized libraries and documentation centers covering 35,000m² with 3,350 reading stations, stocked with databases, electronic documents, and themed resources in computing and sciences for hands-on study and group work.
- Access to advanced computing environments in programs like Data Science, supporting practical training in AI and data technologies through the Faculty of Sciences' facilities.

This setup ensures you're not just studying theory—you're building a portfolio of real skills employers love. Ready to apply and make it happen? Check the full facilities details here: https://www.ulisboa.pt/en/info/libraries-and-bibliographical-search

Program Key Stats



No

Eligibility Criteria

2
24
55

6.5
71

Career Options

  • Data Scientist
  • Machine Learning Engineer
  • Data Analyst
  • Data Engineer

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