Florida International University

What you'll study

This degree combines core business courses with a strong foundation in mathematics, statistics and computing to prepare students for quantitative decision-making roles. Typical study areas include calculus, linear algebra, probability and statistics, optimisation and numerical methods, simulation, econometrics, and applied regression modelling. Students also learn programming for data analysis (commonly Python or R), database management, data visualisation and introductory machine learning techniques.

Alongside technical modules, the programme includes business fundamentals such as accounting, finance, marketing, operations management and managerial economics so graduates understand the commercial context of quantitative work. Many programmes feature a capstone project or practicum in which students apply models and data to a real organisational problem, and there are opportunities for internships with Miami’s diverse business community.

Example modules

• Calculus for Business and Economics
• Linear Algebra and Matrix Methods
• Probability and Statistical Inference
• Operations Research and Optimisation
• Simulation Modelling
• Applied Econometrics and Regression Analysis
• Data Structures and Database Systems
• Programming for Data Analytics (Python/R)
• Business Analytics and Data Visualisation
• Decision Analysis and Risk Management
• Business Core: Accounting, Finance, Marketing, Management
• Capstone Project or Internship

Entry requirements

Applicants are expected to have completed secondary education with a strong performance in mathematics. Typical offers require evidence of competence in algebra and calculus or equivalent high-school mathematics. Universities generally seek good grades overall and in mathematically demanding subjects; specific GPA or grade thresholds are set by admissions and may vary by applicant background.

International applicants must demonstrate English language proficiency through recognised tests or prior education in English, unless exempt. Some applicants may be required to take placement tests in mathematics to determine appropriate first-year modules. Prior coursework or experience in programming or statistics is advantageous but not always mandatory.

Career prospects

Graduates are well placed for analytical and decision-focused careers across sectors. Common entry roles include data analyst, business analyst, operations analyst, supply chain analyst, risk analyst and financial analyst. With experience, alumni move into roles such as analytics manager, operations manager, management consultant or specialist positions in pricing, forecasting and quantitative risk.

The quantitative training also provides suitable preparation for graduate study in business analytics, operations research, statistics, economics or related fields, including professional certifications and advanced degrees that lead to careers in research, academia or high-level analytical roles.

Why study at Florida International University

Florida International University offers this programme within a large, urban public research university that emphasises applied learning and links to industry. Students benefit from FIU’s location in Miami, which provides access to a wide range of internships and employers in finance, logistics, technology and international trade. The College of Business holds recognised accreditation and provides career services, industry partnerships and hands-on laboratories for data and analytics work.

FIU’s diverse student body and connections across the region support practical project work, networking and multicultural learning—valuable for analysts working in globalised business environments. The programme’s combination of business knowledge and quantitative skills is designed to make graduates immediately useful to employers while offering a foundation for continued specialisation or postgraduate study.