MSc Applied Mathematical Sciences

The MSc in Applied Mathematical Sciences at Heriot-Watt University is one of the premier programmes of its kind in the UK. For over 40 years, Heriot-Watt has been a leader in applied mathematics research and education. Our faculty is at the forefront of many areas, including Mathematical Biology and Ecology, Material Science, Mathematical Physics and more.

This flexible master's programme aims to provide students with the cutting-edge analytical 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 various industries.

Whether your interests lie in mathematical modelling, 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.

Employability

The MSc in Applied Mathematical Sciences prepares you to work across many industries. You will gain highly transferrable skills in mathematical modelling, data analytics, computational methods, and more.

Potential career paths

• Data 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.
• Financial Engineer - Create mathematical models, algorithms and frameworks for derivative pricing, risk management, and investment.

Delivery type: Full Time, Part Time available

Entry is aimed at graduates with strong mathematical knowledge and skills. A 2:1 honours degree in mathematics, statistics or a related subject with a substantial mathematical content is desired. We will accept 2:2 with relevant academic subjects and relevant professional qualifications. Motivation and a willingness to work hard are also important pre-requisites.