Overview
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.
Your Student Experience
Our expertise
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.
Your learning environment
With MSc Applied Mathematical Sciences you'll excel in an exceptional learning environment:
- Innovation Hubs: As a student, you'll have access to data-driven innovation hubs like the GRID, home of the HW Maths Gym .The GRID offers exceptional opportunities to engage with fellow students and academics
- Departmental Expertise: Heriot-Watt's Department of Mathematics has been a pioneer in applied mathematics for over four decades. Our programmes will sharpen your mathematical skills and teach to real-world challenges, including those in sustainable finance.
- Research Excellence: In the recent Research Excellence Framework (REF2021), we ranked first in Scotland and 3rd in UK for Mathematical Sciences research.
The Maxwell Institute of Mathematical Sciences
We are part of the Maxwell Institute for Mathematical Sciences, a joint research institute bringing together within a single body the research activities of:
- The Department of Mathematics at Heriot-Watt University.
- The Department of Actuarial Mathematics and Statistics at Heriot-Watt University.
- The School of Mathematics at the University of Edinburgh.
- We are part of the Edinburgh Research Partnership in Engineering and Mathematics, alongside the University of Edinburgh, which consists of five joint research institutes and a joint graduate school.
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.
Programme Structure
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
Audience
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.
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
International students should apply at least 6 weeks before start date
Language
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Delivered
Campus Location
- Edinburgh, United Kingdom
Disciplines
Applied Mathematics View 45 other Masters in Applied Mathematics in United KingdomWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
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Other requirements
General requirements
- 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.
Tuition Fees
-
International Applies to you
Applies to youNon-residents20456 GBP / year≈ 20456 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10864 GBP / year≈ 10864 GBP / year
Additional Details
For part-time, the tuition fee is: £5,264 for UK Nationals and £9,908 for International Applicants.
Living costs
Edinburgh
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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.
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Applied Mathematical Sciences.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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