Mathematics - Statistics Rowan University

Overview

The Mathematics - Statistics programme at Rowan University provides students with a rigorous foundation in advanced mathematical theory and practical statistical applications. This Master of Arts degree is specifically designed to equip graduates with the analytical skills necessary to excel in industry, research, or higher education.

Students within this concentration engage with a curriculum that balances theoretical depth with modern computational techniques. The programme structure allows for a personalised academic journey, offering both thesis and non-thesis tracks to align with individual career goals or further doctoral aspirations.

The learning environment fosters a deep understanding of how to apply complex mathematical principles to solve real-world problems.

Why Mathematics - Statistics at Rowan University?

Rowan University offers a distinctive educational experience by providing three specialised concentrations within the mathematics department, allowing for significant cross-disciplinary elective choices. This flexibility ensures students can tailor their degree to specific interests in business, industry, or academia.

The institution is committed to providing a high-quality, accessible education that reduces barriers for postgraduate students. With a focus on practical success, the faculty supports students in developing the expertise required for the rapidly expanding field of big data and statistical modelling.

Tuition Fee Breakdown

• International fee: USD 877 per credit
• National fee: USD 877 per credit
• Local fee: USD 877 per credit

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

Syllabus

The curriculum consists of 30 semester hours, including core requirements and specialised electives. Modules may include:

Required Core Courses

• Linear Algebra and Matrix Theory
• Probability & Mathematical Statistics I
• Mathematics Seminar
• Masters Thesis

Required Statistics Courses

• Statistical Data Analysis
• Statistical Computing
• Applied Multivariate Data Analysis

Restricted Electives

• Applied Stochastic Processes
• Design and Analysis of Experiments
• Applied Survival Analysis
• Bayesian Statistical Methods
• Probability and Mathematical Statistics II

Elective Courses

• Mathematics
• Number Theory
• Mathematical Logic
• Differential Geometry
• Engineering Applications of Analysis
• History of Mathematics
• Selected Topics in Mathematics
• Modern Geometry
• Point Set Topology
• Analytic Number Theory
• Operations Research II
• Topics in Discrete Mathematics
• Applied Statistical Epidemiology
• Special Topics in Biomathematics
• Decision Analysis

Careers with Mathematics - Statistics

Graduates are well-positioned for roles in a field projected to grow significantly in the coming decade. The programme prepares individuals for diverse professional paths, including positions as statisticians, data analysts, and researchers within various commercial and industrial sectors.

Beyond industry roles, the degree provides a strong foundation for those seeking to teach in higher education or pursue further graduate study in related mathematical disciplines. The focus on big data analysis ensures relevance in today's data-centric economy, opening doors to careers in government, finance, and technology.