Bachelor Computation and Applied Mathematics

3 Years On Campus Bachelors Program

Lusofona University

Program Overview

The Bachelor in Computation and Applied Mathematics at Universidade Lusófona's University Center of Oporto is designed for students passionate about using math and computing to solve real-world problems, especially in the era of big data and digital transformation. It equips you with skills to design innovative responses to complex challenges in tech, data analysis, and beyond, making it ideal if you love numbers, programming, and turning ideas into practical solutions.

### Curriculum Structure

First Year
You'll build a strong foundation in core concepts, diving into Introduction to Computing to grasp programming basics and Programming Fundamentals for hands-on coding skills, while Introduction to Mathematics and Physics for Games I and II (adapted for computational applications) lay the groundwork in applied math essentials. This year sets you up with the tools to handle data and algorithms confidently, blending theory with practical exercises that feel exciting from day one.

Second Year
Here, things ramp up with Digital Game Development I, II, and III, where you'll apply computation to create interactive systems, alongside Game Design I, II, and III to explore mathematical modeling in design. Courses like Programming Languages I and options in applied areas deepen your ability to build sophisticated software, preparing you for real industry projects with a fun, creative edge.

Third Year
The focus shifts to advanced applications through Applied Games I and II, integrating computational math into practical scenarios, and Project Workshop I for capstone projects that showcase your skills. You'll also tackle Project Management and Planning and Entertainment Systems, honing leadership in tech-math hybrids while options let you specialize, culminating in portfolio-ready work that employers love.

### Focus Areas
Computational modeling, big data analysis, algorithm design, and applied mathematics for digital infrastructures.

### Learning Outcomes
Graduates design data-driven solutions, apply mathematical theories to computing problems, and innovate in fields like AI and simulation, ready for professional roles.

### Professional Alignment (Accreditation)
Fully accredited by Portugal's higher education authorities, aligning with European standards for engineering and computation degrees, ensuring your qualification is recognized across the EU.

### Reputation (Employability Rankings)
Lusófona's programs, including Computation and Applied Mathematics, emphasize practical skills for high-demand tech jobs; official stats highlight strong employability in data science and engineering sectors, with alumni active in events like Critical Thinking Day alongside Data Science peers.

Learn more and apply here: https://www.ulusofona.pt/en/porto/bachelor/computation-and-applied-mathematics

Experiential Learning (Research, Projects, Internships etc.)

In the Bachelor in Computation and Applied Mathematics at Lusofona University, you'll dive into hands-on learning right from the start, building real-world skills through practical classes, independent projects, and tools focused on graphs, networks, data science, and computational modeling—perfect for tackling big data challenges in today's job market. Classes blend theoretical lectures with in-person practical sessions where you apply concepts like network flows, centrality measures, and random graphs using exercises and your own project development, ensuring you graduate ready to solve complex problems in tech and industry. With dedicated faculty from the Faculty of Natural Sciences, Engineering and Technologies (FCNET) who bring industry experience, you'll get that direct bridge to employability.

Here's how our program makes experiential learning come alive with specific tools and opportunities:
- Practical classes and projects: Theoretical-practical sessions (52+ hours) include explanatory exercises, assignments, and independent projects on topics like graph theory, network analysis, and Data Science applications, with at least 115 hours of dedicated off-class work.
- Software and digital tools for computation: Hands-on use of tools for network representation, visualization, metrics, spectral theory, flows (e.g., maximum flow algorithms), and models like Erdös-Rényi or Barabási-Albert graphs—directly tied to Data Science and big data processing.
- Faculty-led research integration: Access to FCNET's scientific conferences, technical meetings, lectures, and debates where Computing and Applied Mathematics students actively participate, fostering real research exposure.
- Professional preparation focus: No formal internships listed yet, but the program's professional profile emphasizes labor market demands through experienced teacher-practitioners from industry.

This is your chance to turn math into career power—apply now and let's get you started! Check the full facilities and course details here: https://www.ulusofona.pt/en/lisboa/bachelor/computation-and-applied-mathematics/ULHT6638-24499

Progression & Future Opportunities

# Bachelor in Computation and Applied Mathematics at Lusófona University

The Bachelor in Computation and Applied Mathematics at Lusófona University prepares you for real-world problem-solving through a blend of theoretical knowledge and hands-on experience. You'll work with cutting-edge tools and methodologies that directly connect to industry demands, ensuring you graduate with skills employers are actively seeking.

## Experiential Learning and Practical Skills Development

Throughout your degree, you'll engage with practical learning through multiple channels. The program combines theoretical lectures with hands-on practical classes that incorporate both explanatory segments and real exercises. Beyond the classroom, you'll complete theoretical and practical exercise assignments and undertake independent project development, giving you ownership of complex problems from conception to solution. The curriculum emphasizes applied learning across its core areas—from graph theory and networks to data science applications—meaning your projects directly mirror challenges you'll face professionally.

The facilities and resources supporting your learning include:

- Faculty of Natural Sciences, Engineering and Technologies (FCNET), which houses the program and regularly organizes scientific conferences, technical meetings, lectures, and debates where you can participate alongside professionals
- Comprehensive library resources supporting research across mathematics, computation, and applied domains
- Access to data science tools and software environments embedded throughout coursework, particularly in courses on exploratory data analysis and complex networks
- Collaborative learning spaces designed for group projects and peer problem-solving
- Research facilities within FCNET for conducting independent computational and mathematical investigations
- Industry connection opportunities through the faculty's symbiosis between career teachers and professionals from non-university sectors, ensuring curriculum relevance to labor market demands

For a complete overview of available facilities and resources across Lusófona University's campuses in Lisboa and Porto, you can explore the full facilities directory on the university's official website.