University of Strathclyde United Kingdom

MSc Advanced Mathematical Modelling

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon September 2026

Course Overview

The MSc Advanced Mathematical Modelling at the University of Strathclyde empowers you to tackle complex real-world challenges through sophisticated analytical and computational techniques. This postgraduate programme is ideal if you possess a strong undergraduate background in mathematics and seek to apply advanced modelling principles to diverse fields such as financial derivatives, fluid dynamics, or statistical machine learning. You will delve into the core methodologies of mathematical modelling, developing a robust understanding of how to translate intricate problems into solvable mathematical frameworks, preparing you for impactful careers in science, engineering, and finance.

This full-time, on-campus Masters degree is delivered over one year, immersing you in a curriculum that balances theoretical depth with practical application. You will explore specialised areas through modules like Modelling & Simulation with Applications to Financial Derivatives, Fluids & Waves, and Finite Element Methods, gaining hands-on experience with essential computational tools and techniques. The programme culminates in an individual research project, allowing you to apply your acquired skills to a specific problem under expert guidance. You will graduate with advanced analytical capabilities, ready for roles in research, data science, or further doctoral studies.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This MSc program delves into advanced mathematical modelling techniques and their applications across various fields. Students will explore topics such as financial derivatives, fluid dynamics, optimization, and statistical machine learning. The curriculum emphasizes the practical application of mathematical methods to solve complex problems in areas like biology, risk analysis, and data science.

1 Modelling & Simulation with Applications to Financial Derivatives

Modelling & simulation with applications to financial derivatives Compulsory
Applicable analysis 3 Compulsory
Fluids & waves Compulsory
Finite element methods for boundary value problems & approximation Compulsory
Optimisation: theory Compulsory
Applied mathematical methods 1 Compulsory
Foundations of statistics Compulsory
Mathematical biology & marine population modelling Compulsory
Mathematical introduction to networks Compulsory
Optimisation for analytics Compulsory
Medical statistics Compulsory
Effective statistical consultancy Compulsory
Survey design & analysis Compulsory
Quantitative risk analysis Compulsory
Bayesian spatial statistics Compulsory
Statistical machine learning Compulsory
Data dashboards with RShiny Compulsory
Deep learning Compulsory

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

25% off
First Year Fee Tuition fee
USD 25,851.00 USD 34,468.00
Total Program Cost Estimated total tuition
USD 25,851.00 USD 34,468.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 837.00 - USD 1,436.00
Food & Groceries USD 2,417.00 - USD 4,833.00
Transport USD 806.00 - USD 1,611.00
Utilities & Bills USD 1,128.00 - USD 2,095.00
Estimated Total USD 4,351.00 - USD 8,539.00

Living cost estimates are based on John Anderson Campus.

Outcomes & Employability

What happens after you graduate

92%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingBanking & Financial ServicesConsumer Finance & Credit ServicesCorporate Finance & TreasuryEconomic Research & PolicyFinancial Technology (Fintech)Insurance & Risk ManagementPrivate Equity & Venture CapitalTax & Legal ComplianceWealth Management & Financial Advisory

Top Employers Hiring for this course

Lloyds Banking Group

Morgan Stanley

Why Study MSc Advanced Mathematical Modelling at University of Strathclyde

What makes this program stand out

September 2026 Closing soon

Next intake is in September 2026

Life at University of Strathclyde in United Kingdom

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about MSc Advanced Mathematical Modelling at University of Strathclyde

Can I work while studying?

International students in Degree courses can work up to 20 hours per week during term time and full-time during breaks. No separate work permit is needed for this.

What English language score do I need for this course?

To meet the English language requirements, you can submit scores from tests like Duolingo, TOEFL, IELTS, or PTE. For instance, a Duolingo overall score of 115 is required, among other specific scores in comprehension and conversation.

What jobs can I get after studying this course?

Possible job titles include Data Analyst, Mathematical Modeler, Research Scientist, and Engineer.

What will I actually study in this course?

This MSc program focuses on advanced mathematical skills applicable in climate modelling, fluid dynamics, and medical applications. It equips students with both analytical and computational techniques for solving complex real-world problems.

When can I start — what are the intake months?

The MSc Advanced Mathematical Modelling program has an intake in September. Make sure to prepare your application well in advance to meet all deadlines.
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