这是应用数学科学领域的新的两年制理科硕士。第一年（第一阶段）是硕士预科课程，将为您提供扎实的应用数学基础，理论和实践基础（6门课程），其中包括2门研究准备课程（英语学习技能）。第二年（第二阶段）与我们当前为期一年的应用数学科学理学硕士课程相同，该课程旨在为学生提供现代的，可转移的数学和统计技能，为他们从事工业和研究职业做好准备。
Heriot-Watt is a leader in applied mathematics research and education. Our faculty is at the forefront of many areas, including mathematical biology and ecology, machine learning, data science, financial modelling, and more.This 2 year master's programme aims to provide students with the cutting-edge mathematical and statistical skills needed for success in today's data-driven world. Through a diverse curriculum and real-world projects, students will gain a solid theoretical foundation as well as hands-on experience applying mathematical concepts to tackle complex challenges across industries.Whether your interests lie in mathematical biology and ecology, artificial intelligence, big data analytics or other emerging fields, this programme will prepare you with the sophisticated analytical abilities and computational tools to launch an impactful career.The 2-year MSc breakdownThe first year (Stage 1) of this two year MSc Programme is a pre-masters year that will equip you with a solid, theoretical and practical foundation in applied mathematics. The second year (Stage 2) is the same as our current one-year MSc Programme in Applied Mathematical Sciences which is designed to equip students with the modern, transferrable mathematical skills to prepare them for careers in industry and research.EmployabilityThe MSc in Applied Mathematical Sciences (2 years) programme prepares you to work across many industries. You will gain highly transferrable skills in mathematical modelling, data analytics, computational methods, and more.Potential career pathsData Scientist - Analyse data to uncover insights and trends to inform business strategy and decision-making.Business Analyst - Use data modelling and statistical analysis to solve problems and improve business processes.Operations Researcher - Apply mathematical optimization techniques to complex logistics and resource allocation problems.Quantitative Analyst - Build mathematical models to analyse financial markets, price assets, and quantify risk.Statistical Modeller - Develop predictive models and perform statistical inference on data.Machine Learning Engineer - Design, implement and deploy machine learning algorithms and artificial intelligence applications.Delivery type: Full Time, Part Time available