Bachelor’s Degree in Mathematical Engineering in Data Science

4 Years On Campus Bachelors Program

Universidad Europea

Program Overview

The Bachelor’s Degree in Mathematical Engineering in Data Science at Universidad Europea is a great fit for students who enjoy mathematics, technology and using data to solve real-world problems. The four-year, 240-ECTS programme combines mathematics and statistics with big data, computing and business analysis, giving students practical skills they can use in areas such as healthcare, energy, education, industry and research.

Curriculum Structure

Year 1: Students start by building a strong foundation in mathematics, statistics and computing. Subjects covering Linear Algebra, Differential and Integral Calculus and Statistics help students develop their mathematical thinking, while computer-related subjects introduce them to the technology and tools used to work with data.

Year 2: Students move towards more practical applications of mathematics and data analysis. They develop their understanding of Numerical Methods, Optimisation and Probability and Statistical Models, while also gaining experience with programming, databases and data processing to handle increasingly complex datasets.

Year 3: Students begin developing more specialised skills in data science and explore areas such as Machine Learning, Big Data Systems and Statistical Analysis. They learn how to collect, process and evaluate different types of data and use mathematical and statistical methods to identify patterns, make predictions and support better decisions.

Year 4: In the final year, students bring together their knowledge of mathematics, computing and data science through more advanced topics such as Data Engineering, Big Data, Optimisation and Intelligent Systems. They also complete a Final Degree Project, giving them the opportunity to apply what they have learned to a substantial data-science project.

Focus Areas

Mathematics, statistics, data science, big data, computing, programming, machine learning, artificial intelligence, mathematical modelling, optimisation, databases, data engineering, business analysis, data visualisation, data management and data ethics.

Learning Outcomes

Students learn how to analyse and interpret data, create mathematical and statistical models, apply machine-learning techniques and work with large datasets. They also develop practical skills in programming, databases, data processing, optimisation and data visualisation, along with communication, teamwork, critical thinking and responsible use of data.

Professional Alignment (Accreditation)

The programme is an official degree from Universidad Europea de Madrid and consists of 4 years and 240 ECTS. Its practical approach includes internships and work placements with organisations across areas such as technology, healthcare, energy, finance, transport and research, while students can also prepare for Cisco CCNA and Amazon Web Services Cloud Architecture certifications.

Reputation (Employability Rankings)

Universidad Europea highlights its connections with major organisations such as Airbus, IBM, Telefónica, Vodafone, Deloitte, Siemens and the European Space Agency, giving students opportunities to gain exposure to the professional world. The university also reports a 5-star rating in the QS Stars Rating System and places itself among the Top 5 universities in Spain in its published rankings information.

Experiential Learning (Research, Projects, Internships etc.)

At Universidad Europea, the Bachelor in Mathematical Engineering in Data Science is designed to provide students with a robust blend of theoretical knowledge and practical skills. The program emphasizes experiential learning, ensuring that you not only understand the concepts but also apply them in real-world scenarios. With state-of-the-art facilities and cutting-edge tools at your disposal, you will be well-equipped to tackle the challenges of the data science field.

Here’s what you can expect in terms of experiential learning opportunities:

- Advanced Computer Labs: Access to modern computer labs equipped with high-performance workstations and the latest software for data analysis, statistical modeling, and machine learning.

- Software Proficiency: Hands-on experience with industry-standard software such as Python, R, MATLAB, and SQL, which are essential for data manipulation and analysis.

- Group Projects: Collaborate with peers on real-life projects that simulate industry challenges, fostering teamwork and enhancing your problem-solving skills.

- Internships: Opportunities to intern with leading companies in the tech and data sectors, allowing you to gain valuable work experience and professional connections.

- Field Trips: Engage in field trips to tech companies and research institutions, providing insights into the practical applications of data science in various industries.

- Research Laboratories: Access to dedicated research labs where you can work on innovative projects under the guidance of experienced faculty members.

- Libraries and Resources: Utilize extensive library resources, including access to academic journals, databases, and research materials specific to data science and mathematical engineering.

- Collaboration with Institutes: Benefit from partnerships with industry-leading institutes that offer workshops, seminars, and guest lectures from experts in the field.

These experiential learning components are designed to enhance your educational journey and prepare you for a successful career in data science.

Embarking on this program will not only equip you with the necessary skills but also immerse you in a vibrant learning environment that fosters innovation and creativity. Consider applying today to take the first step towards a rewarding career in data science!

Progression & Future Opportunities

Graduates of the Bachelor in Mathematical Engineering in Data Science at Universidad Europea are well-equipped to enter a dynamic job market, with a strong foundation in data analysis, mathematical modeling, and engineering principles. Typical job roles include Data Scientist, Data Analyst, Business Intelligence Analyst, and Machine Learning Engineer. The skills you acquire will not only prepare you for immediate employment but also set the stage for a successful career in a rapidly evolving field:

- University Services: Our dedicated Career Services team offers personalized career counseling, resume workshops, and interview preparation to help you stand out to potential employers. Additionally, we host job fairs and networking events that connect students directly with industry leaders.

- Employment Stats and Salary Figures: Graduates from this program enjoy a high employment rate, with over 90% securing jobs within six months of graduation. The average starting salary for our graduates in data science roles is around €35,000 to €45,000 annually, with potential for rapid salary growth as you gain experience.

- University–Industry Partnerships: Universidad Europea has established strong partnerships with leading companies in technology and finance, such as Accenture and IBM. These collaborations provide students with internship opportunities and real-world projects that enhance learning and employability.

- Long-term Accreditation Value: The program is accredited by relevant educational bodies, ensuring that your degree holds value in the job market and meets industry standards.

- Graduation Outcomes: Our alumni have gone on to work for top-tier companies and have reported high job satisfaction, often advancing to senior roles within just a few years of graduation.

Further Academic Progression: After completing your Bachelor in Mathematical Engineering in Data Science, you have several exciting options for further studies. You could pursue a Master’s degree in Data Science, Artificial Intelligence, or Business Analytics, which would deepen your expertise and open doors to advanced positions in the field. Additionally, you might consider specialized certifications in areas like machine learning or big data, which can further enhance your skill set and marketability.

Choosing this program at Universidad Europea not only prepares you for a rewarding career but also sets you on a path for lifelong learning and professional growth.