B.Sc. in Mathematics
Develop a strong foundation in theoretical mathematics, including analysis, algebra, and topology, with options for specialization.
Concentrations:
- Pure Mathematics
- Applied Mathematics
- Computational Mathematics
- Mathematics Education
Features rigorous coursework, undergraduate research opportunities, and problem-solving seminars.
B.Sc. in Statistics
Master the science of data analysis, probability, statistical modeling, and data-driven decision-making for diverse applications.
Core Areas:
- Probability Theory & Mathematical Statistics
- Regression Analysis & Experimental Design
- Statistical Computing (R, Python)
- Data Mining & Machine Learning
Includes projects with real datasets, statistical consulting experience, and capstone projects.
M.Sc. in Applied Mathematics
Focus on mathematical modeling, numerical analysis, and computational methods to solve problems in science, engineering, and finance.
Specializations:
- Mathematical Modeling & Simulation
- Numerical Methods & Scientific Computing
- Operations Research & Optimization
- Financial Mathematics
Offers advanced coursework, research projects with industry applications, and thesis options.
M.Sc. in Statistics & Data Science
Develop advanced expertise in statistical theory, data analysis techniques, machine learning algorithms, and big data tools.
Focus Areas:
- Advanced Statistical Modeling
- Machine Learning & AI
- Big Data Analytics & Cloud Computing
- Biostatistics & Health Data Science
Includes projects using large datasets, advanced statistical software training, and a capstone or thesis.
Ph.D. in Mathematics / Statistics
Conduct original, cutting-edge research in pure mathematics, applied mathematics, or statistics, contributing to the advancement of the field.
Research Areas:
- Algebra, Analysis, Geometry & Topology
- Differential Equations & Dynamical Systems
- Probability Theory & Stochastic Processes
- High-Dimensional Data Analysis & Statistical Learning
Features dissertation research, advanced seminars, teaching opportunities, and collaboration with leading researchers.
Certificate in Data Analysis & Statistical Computing
Provides practical skills in data manipulation, statistical analysis, and programming using software like R and Python for professionals.
Focus Areas:
- Data Wrangling & Visualization
- Applied Statistical Methods
- Programming in R & Python for Data Science
- Introduction to Machine Learning
Highlights hands-on workshops, real-world data projects, and flexible learning options.