Key information
- Level
- Postgraduate Taught
- Delivery type
- Full Time, Part Time
- Degree qualification
- MSc
- Mode of delivery
- On-Campus
- Duration
- 1 year
- Location
- Edinburgh
- Start date
- September
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.
Thinking about a future in Mathematics?
Join our webinar on Tuesday 20 May at 11am (GMT) with Professor Des Johnston to explore our MSc Mathematics programmes. Hear from Prof. Michela Ottobre on cutting-edge research and get student insights. Includes a live Q&A and entry into a £2,000 bursary draw.
Sign up nowYour student experience
Your learning in the MSc Applied Mathematical Sciences programme will be informed by the expertise of our research-active academics, whose work encompasses the following areas:
- Machine Learning: Designing and applying cutting-edge machine learning algorithms for real-world problems.
- Data Science: Leveraging big data analytics and statistical modelling for business insights.
- Mathematical Modelling: Constructing and analysing mathematical models for the natural and social sciences.
- Mathematical Biology and Ecology: Using mathematical techniques to model biological processes, disease and ecosystems.
- Operations Research: Optimizing systems and processes in logistics, manufacturing, and services.
- Applied Statistics: Applying statistical learning theory and data analysis for inference.
Go Global
With Go Global, Heriot-Watt's global student programme, you can carry your studies to new places and experience new cultures, expanding your horizons on the way. You'll discover what it means to be a true global citizen and emerge prepared for wherever your career journey will take you.
Inter-Campus Transfer
Course content
September Intake - Edinburgh
Students will take a total of 8 courses, 4 in each of the 1st and 2nd Semesters followed by a 3-month Project in the summer.
Mandatory September
- Modelling and Tools
Optional September
- Mathematical Ecology
- Fluid Mechanics
- Optimisation
- Modelling and Simulation in the Life Sciences
- Numerical ODEs
- Thermodynamics and Statistical Mechanics
Optional January
- Mathematical Biology and Medicine
- Data Assimilation
- Partial Differential Equations
- Numerical Analysis (PDEs)
- Artificial Intelligence
Mandatory May
- Masters Project and Dissertation
Programme Video
Applied Mathematical Sciences
Fees and funding
| Status | Full Time | Part Time |
|---|---|---|
| UK | £10,528 | £5,264 |
| International | £19,816 | £9,908 |
- Status: Your residency status is usually defined as the country where you have been ordinarily resident for the three years before the start of your course.
- International: 'International' includes applicants from European Union countries who do not hold Pre-Settled or Settled status in UK. (This does not include students from the Republic of Ireland - see above).
Scholarships and bursaries
Postgraduate scholarships and bursaries
We aim to encourage well-qualified, ambitious students to study with us and we offer a wide variety of scholarships and bursaries to achieve this. Over £6 million worth of opportunities are available in fee and stipend scholarships, and more than 400 students benefit from this support.
Entry requirements
We have standard entry requirements for all of our courses that you will have to meet.
UK & EU: A minimum of a 2:2 honours degree or non-UK equivalent containing some maths and/or statistics content.
OS: A minimum of a 2:1 honours degree or non-UK equivalent containing some maths and/or statistics content. Applicants must have covered subjects such as: Real Analysis, Multivariable Calculus, Ordinary Differential Equations, Probability and Statistics.
Applicants that have not completed the modules above will be considered for the 2 year programme.
Why Heriot-Watt
We're the top university in Scotland for graduate outcomes which means that more of our graduates are employed or in postgraduate education than any other institution in the country and we ranked 5th in the UK.
We're also rated number one in the UK for CEO or MD roles, meaning more of our graduates go on to become CEOs or MDs than any other university in the whole of the UK. On top of that, we have beautiful campuses, across the globe, so you'll get a truly international education. Our Edinburgh Campus is home to Oriam, Scotland's National Sports Performance Centre combined with plenty of wellbeing resources, prioritising fitness and mental health for all students. Our Global Research Institutes look at solving real world issues such as climate change and saving our oceans as well as working on the next medical technological breakthrough and the future of AI and robots.
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.
Student life
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