MSc in Computational Mathematics and Data Analysis, Heriot Watt University

Edinburgh,

12 Months

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About this course

This master's program focuses on the crucial role of precise and efficient scientific computations in interdisciplinary collaborations. It aims to equip students with the skills necessary to conduct effective computer simulations for a broad range of practical problems in mathematics, physics, chemistry, and industry. The program involves active participation in research projects that emphasize computational aspects, covering topics like granular flow simulation, finite element discretization, domain decomposition, spectral theory, and mathematical modeling of micro-electromechanical systems. It's designed for students eager to develop computational skills aligned with real-world applications, paving the way for careers in large-scale simulations, modeling, and machine learning.

Why this course is highly recommended

This course is highly recommended for those interested in cutting-edge computational techniques applied across various fields. It provides practical experience through research projects and a curriculum that includes advanced topics like numerical analysis, AI, and data science for healthcare and robotics. Graduates will find themselves well-prepared for diverse career opportunities in simulation, modeling, and machine learning, backed by faculty expertise in applied mathematics and data science.

Specialisation

While the program offers a broad grounding in computational mathematics, students can explore specialized topics such as optimisation, modeling and simulation in life sciences, numerical ODEs, statistical methods, data assimilation, PDEs, Bayesian inference, and artificial intelligence as part of their coursework and projects.

Course fees

Application fees

1st year tuition fees

20.92L

Living cost

Degree requirements

Applicants should have a strong mathematical background with a 2:1 honours degree in mathematics, statistics, or a related subject with substantial mathematical content. A 2:2 may be considered with relevant qualifications and professional experience. Good motivation and a commitment to hard work are also important.

English language test

PTE

DUOLINGO

TOEFL

IELTS

Career prospects

Graduates of this program will be equipped to take on roles involving large-scale simulations, mathematical modelling, and machine learning. The skills gained open pathways to careers in industries requiring advanced computational solutions and research in areas like healthcare analytics, financial modelling, artificial intelligence, and robotics.

FAQs

What is the duration of the MSc Computational Mathematics and Data Analysis?

The program lasts for one year, delivered full-time on campus in Edinburgh.

What are the language requirements for international students?

The specific English proficiency requirements are not listed here; please check the official admission guidelines for details.