Data Science Northern Arizona University

Overview

The Data Science B.Sc. (Hons) at Northern Arizona University provides students with a robust foundation in the acquisition, storage, and manipulation of large-scale data. This programme is designed to transform students into experts capable of drawing actionable conclusions through sophisticated visualisation and mathematical modelling techniques.

By integrating the fundamentals of computer science with statistical science, the curriculum ensures that graduates can automate tedious tasks and solve algorithmic problems. Students engage with real-world data drawn from diverse fields, gaining hands-on experience in how data-informed decisions are made within modern organisations.

Why Data Science at Northern Arizona University?

Northern Arizona University offers a distinctive learning environment through the Department of Mathematics and Statistics, located within the College of the Environment, Forestry, and Natural Sciences. The programme stands out for its emphasis on competency-based learning, particularly in upper-division statistics and computational theory.

Students benefit from expert faculty and a curriculum that encourages the pursuit of a minor in a secondary field of interest. This unique structure allows learners to gain a deep understanding of specific industry challenges, ensuring they can apply data science tools effectively across different professional sectors.

The institution provides a supportive community in Flagstaff, where students have access to modern software development tools and high-level research resources. The programme is specifically structured to meet university diversity and liberal studies requirements, ensuring a well-rounded and globally relevant education.

Tuition Fee Breakdown

• International fee: USD 29568 per year
• National fee: USD 29568 per year
• Local fee: USD 11352 per year

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

Syllabus

The curriculum requires the completion of at least 120 units, focusing on core competencies in mathematics, statistics, and programming. Modules may include:

• Computer Science
• Data Structures
• Software Engineering
• Technical Writing
• Calculus
• Linear Algebra
• Statistical Analysis
• Statistical Computing
• Probability Theory
• Linear Models
• Machine Learning
• Categorical Data Analysis
• Senior Capstone

Additional elective options allow students to specialise in areas such as:

• Software Architecture
• Operating Systems
• Database Systems
• Artificial Intelligence
• Numerical Analysis
• Mathematical Statistics
• Time Series Analysis
• Multivariate Statistical Methods

Careers with Data Science

Graduates of the programme are well-equipped for technical careers in both public and private sectors. The skill set acquired at the university allows for seamless transition into roles that require data-informed decision-making and complex algorithmic problem-solving.

Common career paths for graduates include roles as business analysts, actuaries, and professional data scientists. These opportunities span a diverse range of industries, including engineering, finance, marketing, public health, and academic research.

The programme also prepares students for further academic pursuits, providing the necessary depth in statistics and computer science to succeed in competitive graduate training programmes. Graduates are known for their ability to collaborate in technical groups and communicate complex results to non-technical audiences.