Mathematics and Statistics

Also known as: Applied Mathematics and Statistics, Quantitative Methods, Statistical Science, Mathematical Sciences with Statistics

In a Mathematics and Statistics program, you'll delve into the foundational principles of mathematical theory and the powerful methods of statistical analysis. This program focuses on developing your analytical, problem-solving, and critical thinking skills, preparing you to interpret data, build predictive models, and understand complex systems using rigorous quantitative techniques. You will explore abstract mathematical concepts while also learning how to apply statistical tools to real-world challenges across various fields.

Natural Sciences & MathematicsData ScienceScienceQuantitative AnalysisMathematicsMachine LearningAnalyticsResearch

A Week as a Student

Your Monday kicks off with a Calculus I lecture at 9 AM, covering intricate integration techniques. You scribble notes furiously, trying to keep pace. Later, in your Introduction to Proofs discussion section, you present a proof for modular arithmetic to a small group, feeling a slight flush as you explain your logic. A classmate points out a subtle gap, prompting a productive discussion. After lunch, you spend an hour in the campus gym, clearing your head before tackling a challenging Linear Algebra problem set due Wednesday.

High School Preparation

Required Subjects

Algebra I & IIGeometryPre-CalculusCalculus (AP or Honors)Physics or Chemistry

Recommended GPA

3.5+

Advanced Courses (AP/IB/Honors)

AP Calculus AB/BC
AP Statistics
AP Computer Science A
IB Mathematics: Analysis and Approaches HL
Honors Algebra III

Recommended Activities

Math Club or Honor Society (e.g., Pi Mu Epsilon)
Participation in Math or Statistics Competitions
Coding or Data Science Club
Tutoring in Mathematics
Undergraduate Research Opportunities
Actuarial Science Club

Application Essay Topics

Describe a complex problem you've solved using mathematical or statistical thinking.
Discuss how a specific mathematical concept or statistical method has impacted a field you're passionate about.
Reflect on a time you had to interpret ambiguous data and how you approached it.
Explain how you envision mathematics and statistics addressing a major global challenge.

Alternative Path

While a bachelor's degree is standard for many roles in this field, you could begin by taking foundational math courses at a community college and then transferring. For specific skills, various online certifications or bootcamps exist in data science or statistical software, but these usually complement rather than replace a comprehensive degree.

Core Subjects

Click on "i" to learn more about each subject

Career Prospects

Growing Study Prospects

Graduates with a degree in Mathematics and Statistics are highly sought after across numerous industries. You could work as a Data Scientist, applying statistical modeling to large datasets, or as an Actuary, assessing financial risk for insurance companies. Other roles include Statistician, Quantitative Analyst in finance, Operations Research Analyst, or working in areas like bioinformatics, public health, or government.

Impact of AI on this Study

Artificial Intelligence is deeply rooted in the principles of mathematics and statistics. As a student in this program, you'll gain the essential foundations in linear algebra, calculus, probability, and statistical modeling that underpin machine learning algorithms and AI development. You'll learn to analyze and interpret the data that fuels AI, understand model limitations, and contribute to the ethical and effective application of AI tools.