Mathematical Engineering in Data Science
The Mathematical Engineering in Data Science Bachelor of Science is a four-year, full-time on-campus program that provides a strong foundation in mathematics, statistics, and computational methods with a focus on data science applications. The program covers key areas such as linear algebra, probability theory, statistical modeling, numerical analysis, optimization, and machine learning. Students develop advanced analytical and problem-solving skills to interpret complex datasets and build mathematical models for real-world applications.
Graduates will be well-prepared for careers in Data Science, Statistical Analysis, Machine Learning Engineering, and Quantitative Research across technology companies, financial institutions, research centers, and engineering firms. The program offers a rigorous mathematical and computational foundation, enabling students to design data-driven solutions and contribute to innovation in science, technology, and industry.
Key Facts
Key Facts
- Program Title: Mathematical Engineering in Data Science
- Degree Type: Bachelor of Science
- Duration: 4 years
- Mode of Study: Full-time, On Campus
- Application Deadline: 18 July 2026
- Location: Pompeu Fabra University (UPF), Spain
- Field of Study: Mathematics
- Language of Instruction: English
Program Structure
Year 1 – Foundations of Mathematical Engineering
- Introduction to Mathematics and Engineering
- Calculus and Linear Algebra
- Probability and Statistics
- Introduction to Data Science and Computing
Year 2 – Core Mathematical Engineering Topics
- Advanced Linear Algebra and Differential Equations
- Mathematical Modeling and Simulation
- Data Analysis and Visualization Techniques
- Elective Modules in Mathematical Engineering
Year 3 – Advanced Mathematical Engineering Applications
- Machine Learning and Predictive Analytics
- Computational Mathematics and Algorithms
- Optimization Methods in Engineering
- Elective Modules in Data Science
Year 4 – Final Project & Research
- Independent Research / Thesis
- Advanced Topics in Data Science
- Data Engineering and Big Data Analytics
- Presentation & Academic Portfolio Development
Career Opportunities
Graduates of the Mathematical Engineering in Data Science Bachelor’s program are highly sought after in data analysis, quantitative modeling, and machine learning. With expertise in mathematical modeling, statistics, and computational methods, graduates can pursue roles as data scientists, machine learning engineers, quantitative analysts, or business intelligence specialists. The increasing reliance on data-driven decision-making ensures strong career prospects in tech companies, finance, and research institutions.
Why Choose This Program
Mathematical Engineering in Data Science program focuses on data science, mathematical modeling, and computational techniques. Students will gain a solid foundation in mathematical methods and their application to real-world data problems. The program prepares graduates to work in data science, financial analysis, and machine learning, equipping them with the skills to solve complex problems using mathematical and statistical techniques.
Contact Information
For further information, please contact the admissions office at:
Phone: +34 935 422 000
Email: info@upf.edu
Address: Pompeu Fabra University (UPF), Plaça de la Mercè, 10-12, 08002 Barcelona, Spain
