Computational Mathematics and Data Analysis

Entry requirements

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.

We welcome applications from international students and accept qualifications from around the world. Please refer to the entry requirements for your country for more details.

English language requirements

If your first language is not English, we'll need to see evidence of your English language ability.

The minimum English language requirement for entry to this programme is IELTS 6.0 (or equivalent) with no score lower than 5.5.

If you do not have IELTS 6.0, we offer a range of English language courses to help you meet the English language requirement for this programme prior to commencing your studies.

Please see our detailed English language requirements.

Months of entry

September

Course content

Precise and efficient scientific computations are vital for interdisciplinary collaborations. It IS crucial that these computations are stable, efficient, and lead to accurate solutions for complex challenges across diverse fields.

Our master's programme is designed to equip students with the skills needed to conduct effective computer simulations for a wide range of practical mathematical, physical, chemical, and industry-related problems.

As part of this programme, students will actively participate in research projects that place a strong emphasis on computational aspects. These projects encompass a diverse range of captivating topics, all of which are relevant to real world applications, including but not limited to:

• Simulation of Granular Flow and Growing Sand-piles
• Finite Element Discretisation of Ordinary and partial differential equations
• Domain Decomposition
• Computational Spectral Theory
• Mathematical Modelling of Micro-electron Mechanical Systems

By honing your computational skills through this programme, you will be well-positioned to take advantage of the many exciting career opportunities available. The programme provides cutting-edge knowledge and practical experience to help students transition successfully into professional roles involving large-scale simulations, modelling, and machine learning models.

Your student experience

Our expertise

Within our MSc in Computational Mathematics and Data Analysis, our academics bring a wealth of expertise to enhance your educational journey. Their research and teaching intersect the realms of computational and applied mathematics, including:

• Data Science for Healthcare: Leveraging data analytics, machine learning, and statistical methods to advance medical diagnostics, treatment planning, and healthcare efficiency.
• Financial Modelling: Applying mathematical and computational techniques to analyse financial markets, risk assessment, and investment strategies.
• Artificial Intelligence in Robotics: Exploring the convergence of AI and robotics to develop innovative automation and autonomous systems, from self-driving vehicles to industrial automation.

Your learning environment

With MSc in Computational Mathematics and Data Analysis you'll excel in an exceptional learning environment:

• The National Robotarium: The National Robotarium is a world-leading centre for Robotics and Artificial Intelligence, creating innovative solutions to global challenges. Pioneering research moves rapidly from laboratory to market, developing skilled visionaries and delivering substantial benefits for society
• 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, academics and cutting-edge technologies.
• Departmental Expertise: Heriot-Watt's Department of Mathematics has been excellent in applied abd conputational mathematics for over four decades. Our programmes sharpen your mathematical skills and apply them 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.

Information for international students

If your first language is not English, we'll need to see evidence of your English language ability.

The minimum English language requirement for entry to this programme is IELTS 6.0 (or equivalent) with no score lower than 5.5.

If you do not have IELTS 6.0, we offer a range of English language courses to help you meet the English language requirement for this programme prior to commencing your studies.

Please see our detailed English language requirements.

Fees and funding

See University website