BS 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. 

This major is for students who are interested in:

• 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. 

Liberal Education Curriculum

As a required component of all undergraduate degree programs, the Liberal Education Curriculum provides students with a broad interdisciplinary foundation that complements their major while developing essential academic, professional, and lifelong learning skills.

Applied Mathematics Curriculum

Students develop a broad understanding of mathematical concepts and methods while learning to apply them to real-world problems across a range of scientific, technological, and professional fields. The program combines theoretical knowledge with practical application, helping students strengthen their analytical, quantitative, computational, problem-solving, and communication skills for careers in mathematics and related fields.

The Liberal Education courses included in each program of study are taught by members of the Liberal Education faculty, who support the full range of relevant courses across all programs.

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.