Computational Mathematics and Data Analysis Heriot-Watt University

Overview

The Computational Mathematics and Data Analysis programme at Heriot-Watt University provides students with the technical expertise required to conduct high-level computer simulations for scientific and industrial applications. This degree bridges the gap between theoretical mathematics and practical data science to address real-world problems. Participants develop a deep understanding of how to create stable and efficient computational solutions for diverse fields.

Why Computational Mathematics and Data Analysis at Heriot-Watt University?

Heriot-Watt University is recognised for its excellence in mathematics, ranking 2nd in Scotland and 5th in the UK for the subject. Students benefit from an environment where academic research intersects with practical applications in healthcare, finance, and robotics. The institution’s strong global reputation and advanced facilities ensure that graduates are prepared for the technical demands of the modern workforce. Learning extends beyond traditional lectures, focusing on extraordinary research that tackles global challenges like climate change and AI development.

Tuition Fee Breakdown

• International fee: GBP 20456 per year
• National fee: GBP 10864 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum is designed to provide a balance of mandatory theoretical foundations and specialised optional modules. Students complete a significant research project alongside their taught courses.

Modules may include:

• Modelling and Tools
• Optimisation
• Modelling and Simulation in the Life Sciences
• Numerical ODEs
• Statistical Methods
• Data Assimilation
• Numerical Analysis (PDEs)
• Artificial Intelligence
• Partial Differential Equations

Careers with Computational Mathematics and Data Analysis

Graduates are well-positioned for professional roles involving large-scale simulations, complex modelling, and the development of machine learning models. The programme prepares students for technical careers in industries such as financial modelling, healthcare data science, and autonomous systems. By mastering computational spectral theory and finite element discretisation, alumni can transition into specialised research or industrial positions. The university’s strong industry links contribute to high employability rates, with many graduates entering roles as mathematicians or data analysts.