Applied Statistics Oakland University

Overview

The Applied Statistics programme at Oakland University offers a robust mathematical foundation for students seeking to master data interpretation and probabilistic modelling. This degree integrates theoretical frameworks with practical computational techniques to solve complex problems across various industries.

Students enrolled in this course benefit from a curriculum that balances core mathematical sciences with interdisciplinary applications. The academic structure ensures that graduates possess the technical proficiency required to handle large datasets and perform sophisticated statistical inference in professional environments.

The faculty focuses on delivering a high standard of quantitative education, encouraging students to apply their knowledge to a specific field outside of mathematics.

Why Applied Statistics at Oakland University?

Oakland University provides a dedicated learning environment within the College of Arts and Sciences, where students have access to specialised resources and expert guidance. The institution is accredited by the Higher Learning Commission, ensuring that the curriculum meets rigorous academic standards for excellence.

The programme is distinguished by its requirement for students to complete a 16-credit sequence in an external application area. This unique feature ensures that learners can bridge the gap between abstract statistical theory and real-world implementation in a quantitatively oriented subject of their choice.

Teaching at the institution emphasises both computational literacy and ethical reasoning. By combining computer programming requirements with philosophy-based ethics courses, the university produces well-rounded professionals capable of navigating the modern data landscape with integrity and technical skill.

Tuition Fee Breakdown

• International fee: USD 23867 per year
• National fee: USD 23867 per year
• Local fee: USD 16772 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

Modules may include:

• Applied Probability and Statistics
• Applied Linear Models I
• Mathematical Statistics I
• Mathematical Statistics II
• Calculus I
• Calculus II
• Multivariable Calculus
• Linear Algebra
• Computer Programming
• Computer Problem Solving in Engineering and Computer Science
• Advanced Critical Writing
• Professional Writing
• Science Writing
• Business Writing

Elective options in advanced mathematics may include:

• Differential Equations with Matrix Algebra
• Discrete Mathematics
• Applied Matrix Theory
• Numerical Methods
• Applied Numerical Methods: Matrix Methods
• Advanced Calculus I
• Elementary Models in Operations Research
• Linear and Integer Optimization
• Nonlinear Optimizations
• Stochastic Models in Operations Research

Careers with Applied Statistics

Graduates of the Applied Statistics programme are prepared for diverse roles that require high-level data analysis and logical reasoning. The skills acquired during the degree are highly sought after in the actuarial science, finance, and technology sectors.

Potential career paths include working as a data analyst, statistical consultant, or researcher within government agencies and private corporations. The interdisciplinary nature of the course also allows graduates to pursue opportunities in business operations, market research, and scientific data management.

The rigorous training in linear models and mathematical statistics provides a strong foundation for further postgraduate study. Many alumni continue their education in specialised fields such as biostatistics, data science, or economics to enhance their professional expertise.