The Bachelor of Science in Mathematics at the University of Texas at Austin offers a robust foundation in both pure and applied mathematics. Students dive deep into theoretical analysis, computational methods, and mathematical modeling—preparing for careers in tech, research, finance, and data science.
Modeling the Spread of Infectious Diseases Using Differential Equations
Cryptography and RSA Algorithm Implementation in Python
Mathematical Analysis of Game Theory in Competitive Environments
Fractal Geometry and Its Applications in Nature
Optimization Models for Urban Traffic Flow Management
Mathematical Modeling of Population Dynamics in Ecology
Analysis of the Riemann Hypothesis: Historical and Theoretical Perspectives
Fourier Series and Its Use in Signal Processing
Statistical Analysis of Stock Market Trends Using Time Series
Numerical Methods for Solving Partial Differential Equations
Simulating Random Walks and Brownian Motion
Mathematics Behind Machine Learning Algorithms
Exploring Chaos Theory With Logistic Maps
Linear Programming Applications in Supply Chain Optimization
Combinatorics and Its Applications in Network Theory
Markov Chains and Predictive Text Generation
Mathematical Proofs Using Induction and Contradiction
The Role of Eigenvalues and Eigenvectors in Facial Recognition
Constructing Secure Hash Functions for Blockchain Systems
Topology and the Shape of Space: Visualizing Complex Structures
Real-World Applications of Calculus in Engineering Problems
Using Graph Theory to Analyze Social Networks
Mathematics of Voting Systems and Fairness Criteria
Cryptanalysis: Cracking Classical Ciphers Mathematically
Mathematical Insights Into Quantum Computing Models
From solving real-world problems to exploring theoretical landscapes, UT Austin’s Mathematics program fosters rigorous thinking and discovery.
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