ECTS Credits: 80
- Total Number of Mandatory credits to be taken (excluding the capstone project): 40
- Total Number of Optional credits to be taken: 30
- Total Number of Credits for the Capstone Project:10
What is the latest (semester) a student can select the Major:
Spring Recess 2nd Year
- Statistics
- Calculus
- Linear Algebra
- Differential Equations & Multivariable Calculus
- Probability Models & Statistical Inference
- Linear Algebra II
- Regression & Likelihood Based Statistical Models
- Methods for Ordinary Differential Equations
- Capstone Project
- Geometry
- Real Analysis
- Numerical Methods & Computational Mathematics
- Introduction to Financial Mathematics
- Bayesian Learning & Statistical Inference
- Complex Analysis
- Group Theory
- Advanced Numerical Methods and Approximation
- Analysis & Applications
- Financial Derivative Pricing
- Predictive Analytics with Multiple & Generalised Linear Regression
- Partial Differential Equations & Applications
- Machine Learning for Data Analytics
- Advanced Predictive Analytics: Modelling Time-to-Event Data
- Fluid Dynamics
- Visualizing Data
Internationally, mathematics and statistics are found across most Arts programmes. It is a richly creative subject and is fundamental to understanding processes, systems and data and underpins the development of new and emerging technologies, e.g. machine learning and AI, extended reality, cryptocurrency, quantum computing.
A major in Mathematics & Statistics provides you with a solid foundation and the skills required to make a significant positive impact by solving problems using mathematical and statistical modelling in real-world contexts. You will also learn how to analyse and interpret data and make decisions based on this.
You will gain transferable skills, such as, problem solving, critical and analytical thinking, detail-orientation, decision-making and computational skills.
The delivery is principally in person offering you the learner a strong support system while fostering a sense of belonging. You will closely interact with other students studying mathematics and statistics and other majors which forms a cohesive, supportive group and a community of learners.
A graduate of a major in Mathematics & Statistics can take up roles in financial and quantitative analysis, data science, manufacturing and operations and education. Graduates of the discipline also go on to pursue careers across a wide range of disciplines e.g. actuarial science, econometrics, meteorology, climatology, biostatistics, epidemiology and the social sciences.
A graduate of this major will have a unique set of skills that can contribute to multidisciplinary teams working on the development of products in a technology driven world and to teams solving problems on a national or global scale.
Students who complement their Mathematics & Statistics major with other majors/minors will be well-positioned to take up careers across a range of industry and government organisations, such as, the technology sector (e.g. Computer Science, Data Science & AI, Computing, Digital Transformation), the business and financial sector (e.g. Economics, Global Business, Law, Enterprise), the environmental sector (e.g. The Environment, Energy Management, Environmental and Global Health, Environmental Management and Protection, Sustainability), the education sector (Language Studies, Economics, Music, Computing).