理学士（荣誉）数学

在当今瞬息万变的信息时代，动态且收入丰厚的行业的雇主对具有强大数学技能（以及一些IT知识）以及能够以数学方式分析和建模复杂问题的能力的毕业生有巨大的需求。数学提供了先进的工具以及面对这些新任务所需的技术，并随着IT系统和“大数据”在现代生活中变得越来越重要，在未来的发展中将扮演越来越重要的角色。单一荣誉理学学士（荣誉）数学课程还结合了计算元素以及更传统的应用数学模块，该课程侧重于以数学为基础的原则方法以及信息时代挑战所需的特定分析技能。该课程将主修科目和专业科目相结合，使学生为工业和公共部门的高级职业做好
Mathematics offers a principled, logical, and quantitative perspective of the world around us. From mathematical modelling of air flow and epidemic spreading, through medical diagnosis and power-grid control to investment banking and self-driving cars – mathematics is fundamental to many cutting-edge technologies. Graduates with these skills are in high demand across many sectors of industry and our course equips you the advanced tools and techniques needed to develop your career.<br><br>Our Mathematics department offer a suite of programmes delivered by dedicated and passionate staff. Our Mathematics programmes look at the excitingly complex patterns and systems that can arise from simple mathematical ideas, and how they may provide the key to understanding biological, economic or physical problems.<br><br>Our programme is designed to create graduates with a strong mathematical background oriented towards knowledge and technical skills in demand by the job market.<br><br>In your first and second years, you will build a solid foundation of mathematical knowledge by learning core mathematical topics, such as Algebra, Analysis, Calculus, Differential Equations, Geometry and Probability, amongst others. You will also be developing abilities for problem solving and real-world applications of that knowledge. For instance:<br><br>In Probability and Statistics you will be introduced to the elementary theory of probability and statistics and learn to apply that knowledge using Microsoft Excel to statistically analyse real-world data sets and draw relevant and practical conclusions.<br><br>Numerical Algorithms and Programming will provide you with essential understanding of core concepts in programming, focussing on mathematics applications. You will learn how to formulate algorithms to execute methods and how to implement generic algorithms from a description.