Kent State University

What you'll study

This programme blends core business knowledge with a strong foundation in mathematics, statistics and computational methods. You will study quantitative techniques for decision making and apply them to real business problems through projects and case studies.

• Mathematics and quantitative foundations: calculus, linear algebra and mathematical modelling that underpin optimisation and simulation methods.
• Statistics and data analysis: probability, inferential statistics, regression and time series analysis, and applied data analysis using statistical software.
• Operations research and optimisation: linear and nonlinear programming, integer programming, network models, queuing theory and simulation techniques for operations and logistics.
• Management and business fundamentals: introductory courses in accounting, finance, marketing and organisational behaviour to place quantitative work in a business context.
• Information systems and programming: database design, data management and programming for analytics (commonly using languages or tools such as Python, R, SQL or spreadsheet modelling).
• Applied analytics and electives: courses in supply chain management, decision analysis, forecasting, business analytics, econometrics or risk management, chosen to suit career aims.
• Capstone/project and experiential learning: a senior project or practicum where you apply quantitative methods to an organisation's problem, and opportunities for internships or cooperative placements.

Entry requirements

Applicants should hold a recognised secondary school diploma with solid achievement in mathematics. Typical preparation includes calculus and other university-preparatory maths. Admissions consider academic performance across subjects, strength of quantitative coursework, and any evidence of analytical experience such as competitions, extracurricular projects or relevant work.

For transfer students, successful completion of college-level calculus and introductory statistics or programming courses will strengthen an application. International applicants must meet the university's general admissions and English language proficiency requirements.

Career prospects

Graduates are equipped for a range of analytical roles in the public and private sectors. Typical job titles include:

• Operations research analyst or operations analyst
• Business analyst or data analyst
• Supply chain or logistics analyst
• Financial analyst with quantitative responsibilities
• Consultant in analytics, risk or process improvement

Alumni also use the degree as preparation for postgraduate study in operations research, analytics, statistics, finance or an MBA. The programme’s emphasis on applied projects and internships helps graduates demonstrate practical skills to employers in manufacturing, healthcare, finance, consulting, retail and government agencies.

Why study at Kent State University

Kent State offers a large public research university environment with access to business faculty who teach applied quantitative techniques and who frequently collaborate with industry. The university emphasises experiential learning—students can take part in industry projects, internships and senior capstones that build practical experience. Career services and business-school connections in the Cleveland–Akron region support job placement and networking with regional employers. Smaller class sizes in upper-level courses and access to computing and analytics resources help students develop the technical skills sought by employers.