BSc in Applied Mathematics

The BSc in Applied Mathematics is a program that combines rigorous mathematical theory with real-world applications, preparing students to use mathematical thinking, analytical reasoning, computational methods, and data-driven tools to solve complex problems in modern interdisciplinary environments. Offered within the School of Science and Technology, the program provides a strong foundation in core areas of mathematics while emphasizing applications in science, engineering, business, industry, finance, technology, and data analytics. 

Students build skills in translating real-world challenges into mathematical models, working with quantitative information, applying statistical and computational tools, and communicating technical ideas clearly to both specialist and non-specialist audiences. The curriculum combines theoretical depth with applied learning in areas such as linear algebra, calculus, statistics, numerical analysis, differential equations, mathematical modeling, and data analysis. 

The program also reflects the American-style Liberal Education model, encouraging breadth of knowledge, interdisciplinary thinking, critical inquiry, communication skills, ethical judgment, and adaptability. Students gain exposure to humanities, social sciences, natural sciences, sustainability, business, and the arts, helping them connect mathematics with broader social, scientific, and professional contexts. 

Applied Mathematics is at the core of innovation and technological advancement and forms one of the most versatile degrees for students who want to combine abstract reasoning with practical problem-solving. This program is designed for students who want to understand not only how mathematics works, but also how it can be used to address challenges in technology, science, business, finance, health, engineering, and data-intensive fields. 

A key strength of the program is its applied and computational orientation. Courses in calculus, statistics, numerical analysis, and scientific computing make use of specialized computer laboratories and software such as Python, R, MATLAB, and SPSS, enabling students to connect theory with practice and develop tools used widely in scientific and professional environments.  

Students benefit from faculty expertise in areas such as computational mathematics, data analysis, bioinformatics, physics, and applied sciences. They also gain from small class sizes, close interaction with faculty, and a curriculum that combines theoretical foundations with practical applications. In addition, students will be exposed to global perspectives through international collaborations, research opportunities, conferences, and study abroad experiences.  

Internships and networking opportunities with industry partners, research organizations, and technology companies help students build professional experience and establish valuable career connections before graduation. Faculty members bring expertise from diverse academic and professional backgrounds, supporting students through mentorship, research supervision, and career guidance.  

Thus, applied mathematics graduates are well prepared either to enter quantitative careers or to pursue postgraduate study in fields such as engineering and technology, biotechnology, economics, finance, and other business-related disciplines. 

This major is ideal for students who enjoy mathematics and want to apply it to real-world problems.

It is especially suited to students who are analytical, curious, precise, persistent, and interested in understanding patterns, systems, data, and models. 

The program is a strong fit for students who want to: 

• solve complex problems using logic, evidence, and quantitative reasoning;
• work with data, models, algorithms, and computational tools;
• explore applications of mathematics in science, engineering, finance, technology, artificial intelligence, machine learning, biotechnology, and business;
• communicate technical findings clearly through reports, presentations, and visualizations;
• collaborate in interdisciplinary teams and contribute a mathematical perspective to shared projects;
• apply leadership and entrepreneurship in technology-driven environments;
• prepare for graduate study or professional roles in quantitative and data-driven fields. 

It is also appropriate for students who are considering careers in business analytics, risk management, optimization, scientific computing, data science, or operations research. 

Students complete a four-year curriculum totaling 121 U.S. credits / 242 ECTS, combining Liberal Education courses, required courses in Applied Mathematics, electives, and track-based specialization options. 

The major curriculum builds progressively. In the first years, students develop foundational knowledge in linear algebra, calculus, discrete mathematics, applied statistics, academic writing, information technology, and communication. As they advance, they study multivariable calculus, ordinary differential equations, numerical methods, complex analysis, scientific computing and data visualization, mathematical modeling, and mathematical statistics. 

Students also select one of the four tracks – physics, biology, management, and economics – and elective courses that allow them to connect mathematics with related fields such as engineering, biomechanics, environmental science, and data analytics. The Liberal Education component broadens students’ intellectual background through thematic clusters including Aesthetic Expression, Human Experience in Context, Society and Community, Environment and Sustainability, and The Business World. 

A central feature of the final year is the Applied Mathematics Capstone, a faculty-mentored culminating project. Students identify a real-world problem or research area, develop an appropriate mathematical, numerical, or data-driven model, write a formal report, and present their work publicly. This experience helps students demonstrate independent inquiry, technical communication, and readiness for professional or postgraduate pathways. 

Graduates of the BSc in Applied Mathematics acquire a strong quantitative background, analytical thinking, and mathematical modeling skills that can be applied across a wide range of industries. Potential employment sectors include technology firms, software and data analytics companies, manufacturing, service industries, research centers, consulting firms, pharmaceutical and biotechnology companies, banking and finance, investment firms, insurance organizations, and public-sector organizations. 

Graduates’ skills are particularly relevant in areas such as: 

• data analysis; 

• statistical analysis; 

• computational modeling; 

• process optimization; 

• artificial intelligence and machine learning; 

• scientific computing; 

• quantitative research; 

• operations research; 

• healthcare and biotechnology; 

• banking and finance; 

• engineering and biomechanics; 

• mathematical modeling. 

Possible career paths include data analyst, quantitative analyst, statistical analyst, risk analyst, operations research analyst, computational scientist, research assistant, modeling analyst, business analytics specialist, financial analyst, software/data analytics associate, and optimization analyst. For students who specialize in physics, mechanics, or biomechanics applications, additional pathways may include biomechanical analyst, research engineer, medical device analyst, sports performance scientist, and robotics analyst. 

The program also provides a strong foundation for graduate study in applied mathematics, data science, statistics, engineering, technology, biotechnology, finance, economics, business analytics, and related quantitative disciplines.