Bachelor Data Science

3 Years On Campus Bachelors Program

Lusofona University

Program Overview

The Bachelor in Data Science at Lusofona University is a hands-on program that equips you with the skills to turn massive datasets into real-world insights, perfect for students passionate about tech, math, and problem-solving in fields like business, healthcare, or AI. You'll build a strong foundation in data handling, analysis, and machine learning, graduating ready to launch a career as a data analyst or scientist in a booming job market.

### Curriculum Structure

Year 1
In your first year, you'll dive into the basics of data and programming to build a solid groundwork. Courses like Data Science Foundations teach you to identify data types, sources, and ethical issues while exploring exploratory data analysis and simple modeling. You'll also cover Programming Languages, mastering procedural, object-oriented, and functional paradigms, alongside Introduction to the Theory of Graphs and Networks for understanding data connections and their Data Science applications.

Year 2
Year 2 ramps up with practical tools for data manipulation and research skills. Through classes like Scientific Research Methodologies, you'll learn core research techniques to tackle data problems effectively. Expect focus on data processing, databases, and visualization, blending theory with hands-on projects to prepare you for advanced analysis.

Year 3
By year 3, you're applying everything to real scenarios with machine learning and ethics at the forefront. Key courses include Introduction to Privacy, Security and Ethics, where you'll evaluate data impacts and mitigation strategies. You'll wrap up with supervised/unsupervised models, case studies, and project methodologies from Data Science Foundations, plus emerging topics like complex networks, ensuring you're project-ready for industry.

Focus areas
Data manipulation and types, exploratory analysis, machine learning (supervised/unsupervised), databases and extraction, ethics/privacy/security, graphs/networks, and research methodologies.

Learning outcomes
Understand data sources and types; defend data science applications for prediction and decision-making; distinguish data science from related fields; build analytical models; apply ethics in data use; program across paradigms; conduct scientific research in data contexts.

Professional alignment (accreditation)
This 6-semester Bachelor (180 ECTS) is fully accredited by Lusofona University, with mandatory courses in Portuguese, aligning directly with industry needs in data analysis, AI, and big data—no prerequisites required, and no professional internship mandated, focusing instead on practical skills.

Reputation (employability rankings)
Lusofona's tech programs, including Data Science tracks, emphasize big data and digital transformation, preparing grads for high-demand roles amid Europe's data boom—official stats highlight strong employability through hands-on training in tools like Python and CRISP-DM.

[Official program page](https://www.ulusofona.pt/en/lisboa/bachelor/data-science)

Experiential Learning (Research, Projects, Internships etc.)

At Lusofona University, our Bachelor in Data Science program stands out because it dives right into hands-on learning from day one, building real-world skills you'll use in top tech jobs. You'll master programming essentials like algorithmic thinking and data handling through practical projects, using tools like Python for everything from flowcharts to full applications—it's designed to make you think like a programmer while tackling data science challenges. Courses like Programming Languages and Data Science build on this with group work in algorithms, data structures, and visualization, all in a collaborative environment at our ECATI School of Communication, Arts and Information.

This practical focus extends to specialized facilities and resources tailored for data science students, giving you the edge:
- Programming labs with Python and Kotlin for hands-on coding in procedural, object-oriented, and functional paradigms, including arrays, encapsulation, decorators, and data visualization.
- Group projects in courses like Algorithms and Data Structures, where teams design solutions for real data problems, fostering teamwork just like in industry.
- Access to ECATI facilities at the Lisbon campus, including dedicated spaces for data science under expert course directors like Paulo Renato da Silva Gil Viveiros.
- Cutting-edge curriculum integrating Data Science modules with tools for databases, image processing, and big data analysis, preparing you for internships in consulting and systems development.

Imagine applying right now and jumping into this—spots fill fast, and our grads land roles in high-demand fields. Check the full facilities details here: https://www.ulusofona.pt/en/faculties-and-schools/cul/ecati. Ready to take the next step? Let's chat about your application!

Progression & Future Opportunities

At Lusofona University, our Bachelor in Data Science program stands out by immersing you in hands-on learning right from the start, building real-world skills through programming, algorithms, and data analysis that employers crave. You'll dive into practical projects using tools like Python and Kotlin, mastering everything from flowcharts and data structures to information visualization and simple Java apps—all tailored to solve actual data problems. This isn't just theory; it's about thinking like a programmer and applying it immediately, setting you up for success in data-driven careers.

Here's how we make experiential learning come alive in the program, with specific facilities, tools, and opportunities designed for Data Science students:

- Programming with specific software: Hands-on classes in Programming Languages teach Python syntax for algorithmic reasoning, flowcharts, arrays, encapsulation, decorators, and data structures, plus intro to Kotlin and Java command-line apps.
- Data-focused projects: Courses like Data Science (in 3º Ano) involve manipulating mathematical information, processing data, and applying it in computing, often through group analysis and algorithm design.
- Modern digital tools: Access to tools for information visualization, obfuscated variables, and intro to algorithms/data structures, building on fundamentals like Programming Fundamentals and Algorithms and Data Structures.
- Faculty and school support: Housed under ECATI (School of Communication, Arts and Information), with dedicated course directors like Paulo Renato da Silva Gil Viveiros ensuring practical, industry-relevant training.
- Research and advanced integration: Ties into broader university strengths like the Doctorate in Informatics and postgrads in Applied Data Science, Big Data & AI, giving you pathways to labs and real-world data projects.

These elements, backed by our expert faculty blending academics and industry pros, will give you the edge to land top roles—apply today and let's get you started! For the full facilities list: https://www.ulusofona.pt/en/facilities