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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.
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.
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Overview
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.
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.
Admission Requirements
2.7+
59+
6+
79+
169+
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.
MSc Computational Mathematics and Data Analysis
Heriot-Watt University Edinburgh, Edinburgh, United Kingdom
12 monthsProgramme duration
20,456 GBPTuition Fee/year
5Scholarships
SepStarting Month
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Overview
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:
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.
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:
Your learning environment
With MSc in Computational Mathematics and Data Analysis you'll excel in an exceptional learning environment:
Programme overview
Main Subject
Mathematics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Overview
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:
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.
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:
Your learning environment
With MSc in Computational Mathematics and Data Analysis you'll excel in an exceptional learning environment:
Admission 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.
Tuition fees
Domestic
International
Scholarships
IMechE Scholarships (for Mechanical Engineers)
Value
$21800
Deadline
31 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
International Merit Scholarship
Value
$2000
Deadline
30 Jun 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Heriot-Watt University Expenses Bursary
Value
$525
Deadline
31 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
Heriot-Watt Sports Scholarships
Value
25% tuition fee waiver
Deadline
31 Jul 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
IMechE Scholarships (for Mechanical Engineers)
Value
$218000
Deadline
31 Aug 2026
Application requirements
QS Event Attendance is NOT required
Entry requirements
You must be admitted to this school to be awarded
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