Mathematics and Data Analysis
If you're driven by logic, fascinated by numbers, or curious about how math powers the world, Mathematics and Data Analysis is for you.
This area of interest is all about using quantitative thinking to solve real-world problems. Whether you’re modeling climate systems, improving medical imaging, forecasting market trends, or decoding complex datasets, your skills will help drive innovation in any industry.
What is Mathematics and Data Analysis?
Solve big problems. Make data make sense. It’s more than just equations and spreadsheets. Mathematics and Data Analysis includes pure and applied math, statistics, and data science, all disciplines that help us understand and shape the world around us. At NAU, these fields come to life through research, real-world projects, and collaboration with faculty who are experts in everything from coding and data security to predictive modeling.
What you'll study
Depending on your major or concentration, you’ll dive into:
- Calculus, algebra, and mathematical theory
- Statistics and probability
- Data mining and visualization
- Mathematical modeling and optimization
- Logic and discrete math
- Real-world data applications in science, business, and health
You’ll gain experience through research opportunities, coding labs, and data-driven projects using tools like Python, R, and MATLAB.
Career possibilities
Mathematics and Data Analysis expertise are in high demand across industries. Graduates work in tech, healthcare, government, finance, logistics, and education—often in high-paying, high-impact roles.
Mathematics and Data Analysis degrees at NAU
NAU offers a range of degrees focused on mathematics, statistics, and data science. Whether you’re preparing for a career in analytics, research, or education, you’ll find a program built to match your strengths and interests.
FAQs: Mathematics and Data Analysis degrees
What’s the difference between math, statistics, and data science?
Math is the foundation, covering theory, logic, and problem-solving. Statistics focuses on analyzing and interpreting data. Data science combines both with programming and machine learning to find patterns and make predictions.
Do I need to be a math genius to pursue a degree in Mathematics and Data Analysis?
Not at all. You’ll need persistence, curiosity, and strong problem-solving skills. Our programs are designed to support you as you grow in confidence and ability.
Are NAU’s programs more theoretical or applied?
Both! You’ll build a solid foundation in theory, then apply it through data projects, coding, internships, and research.
What tools or software will I learn?
Students often work with tools like Python, R, Excel, SAS, MATLAB, and Tableau—skills that translate directly to the workplace.
Can I double major or add a minor?
Yes! Many students combine math or data with business, computer science, biology, economics, engineering, or education for even more career options.
Are there research or internship opportunities?
NAU students often participate in faculty-led research, summer programs, and internships with government agencies, tech firms, and nonprofits.
What's next on your trail to NAU?
Find your home at NAU!
Looking for attainable and valuable degree programs? Searching for a community as unique as you are? Wishing for adventure? Explore all your passions at NAU.