BSc Acoustics and Music Technology
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MSc Mathematical Physics
The Kings Buildings Campus
INTAKE: September
Program Overview
The MSc Mathematical Physics program at The University of Edinburgh offers students an in-depth exploration of the fundamental principles and advanced mathematical techniques underpinning modern theoretical physics. This interdisciplinary program integrates concepts from mathematics and physics, providing students with a comprehensive understanding of mathematical methods used to model and analyze physical phenomena. Through a combination of core courses, elective modules, and research projects, students develop proficiency in areas such as quantum mechanics, classical mechanics, electromagnetism, statistical mechanics, and general relativity. They also gain expertise in mathematical tools such as differential equations, complex analysis, group theory, and tensor calculus, enabling them to tackle complex problems in theoretical physics and contribute to cutting-edge research in areas such as particle physics, condensed matter physics, and cosmology. Situated within a leading research institution, the MSc Mathematical Physics program provides students with access to world-class faculty, state-of-the-art facilities, and a vibrant scientific community, fostering a stimulating and supportive learning environment for aspiring theoretical physicists.
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Advanced Mathematical Techniques: The program equips students with advanced mathematical techniques used in theoretical physics, including differential equations, complex analysis, functional analysis, and group theory. Students learn how to apply mathematical methods to formulate physical theories, solve mathematical models, and analyze physical systems, providing them with a powerful toolkit for theoretical research in physics.
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Quantum Mechanics and Quantum Field Theory: Students explore the principles of quantum mechanics, including wave mechanics, quantum states, and quantum dynamics. They also delve into quantum field theory, studying concepts such as field quantization, Feynman diagrams, and renormalization techniques. Through coursework and research projects, students gain a deep understanding of quantum phenomena and their mathematical descriptions.
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Classical Mechanics and Electromagnetism: The program covers classical mechanics and electromagnetism, including Newtonian mechanics, Lagrangian mechanics, Maxwell's equations, and electromagnetic waves. Students learn how to apply classical physics principles to analyze mechanical and electromagnetic systems, developing their ability to model and predict physical phenomena.
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Statistical Mechanics and Thermodynamics: Students study statistical mechanics and thermodynamics, exploring concepts such as statistical ensembles, phase transitions, and entropy. They learn how statistical methods can be used to describe the behavior of large systems of particles and understand macroscopic phenomena such as heat transfer, phase transitions, and thermodynamic equilibrium.
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General Relativity and Cosmology: The program introduces students to general relativity and cosmology, including Einstein's field equations, black holes, cosmological models, and the expanding universe. Students explore the mathematical foundations of general relativity and its implications for our understanding of space, time, and the universe's evolution, preparing them to tackle questions at the forefront of theoretical physics.
Location
The Kings Buildings Campus
Score
IELTS: 6.5
Tuition Fee
£ 27300
Postgraduate entry requirements:
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Academic Qualifications: Prospective postgraduate applicants to the University of Edinburgh are typically required to have achieved a minimum academic qualification of approximately 60%, based on their previous academic achievements and qualifications.
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English Language Proficiency:
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IELTS (International English Language Testing System): Minimum overall score of 6.5, with at least 6.0 in each component (Listening, Reading, Speaking, Writing).
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TOEFL (Test of English as a Foreign Language): Minimum score of 100 on the internet-based test (iBT), with at least 20 in each component (Reading, Listening, Speaking, Writing).
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PTE (Pearson Test of English): Minimum overall score of 70, with at least 59 in each component (Listening, Reading, Speaking, Writing).
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Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Edinburgh offers a range of scholarships and funding opportunities specifically designed to support international students pursuing undergraduate, postgraduate, and research programs. These scholarships aim to promote diversity, academic excellence, and global engagement.
Global Scholarships: The University of Edinburgh offers Global Scholarships to outstanding international undergraduate students. These scholarships provide financial assistance towards tuition fees and living expenses, enabling talented students from around the world to access quality education at Edinburgh.
Edinburgh Global Research Scholarships: International postgraduate students pursuing research-based programs (Ph.D., MSc by Research) can apply for Edinburgh Global Research Scholarships. These scholarships provide full or partial funding for tuition fees and living expenses during the research program.
School-specific Scholarships: Some academic schools and departments within the university offer scholarships targeting international students in specific disciplines or programs. These scholarships may be merit-based or need-based and vary in terms of eligibility criteria and funding amounts.
Commonwealth Scholarships: The University of Edinburgh participates in various Commonwealth scholarship schemes, providing opportunities for students from Commonwealth countries to study in the UK. These scholarships are funded by the UK government and other organizations.
External Funding Sources: International students are encouraged to explore external funding sources, such as government scholarships, private organizations, and international foundations, to support their studies at the University of Edinburgh.
It is important to note that scholarship availability, criteria, and application deadlines may change from year to year.
Graduates of the MSc Mathematical Physics program at The University of Edinburgh possess a unique blend of advanced mathematical skills and theoretical physics knowledge, positioning them for diverse and rewarding career opportunities in academia, research institutions, government agencies, and private sector industries. With their expertise in mathematical modeling, theoretical analysis, and problem-solving, graduates are well-equipped to tackle complex challenges in physics, mathematics, engineering, and interdisciplinary fields.
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Research Scientist/Academic Researcher: Graduates may pursue careers as research scientists or academic researchers in universities, research institutes, or national laboratories. They conduct theoretical research in areas such as particle physics, quantum field theory, condensed matter physics, or cosmology, exploring fundamental questions about the nature of matter, energy, space, and time. Their expertise in mathematical physics, analytical reasoning, and theoretical modeling enables them to make original contributions to scientific knowledge and advance the frontiers of physics.
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Quantitative Analyst/Financial Engineer: Graduates with strong mathematical skills can work as quantitative analysts or financial engineers in banking, finance, or investment firms. They develop mathematical models, algorithms, and trading strategies to analyze financial markets, manage risk, and optimize investment portfolios. Their expertise in mathematical physics, statistical analysis, and computational methods qualifies them to work in quantitative finance, algorithmic trading, risk management, and derivative pricing roles.
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Data Scientist/Machine Learning Engineer: Graduates with programming skills and data analysis experience can pursue careers as data scientists or machine learning engineers in technology companies, consulting firms, or research organizations. They apply mathematical and statistical techniques to analyze large datasets, build predictive models, and extract actionable insights from data. Their background in mathematical physics, computational methods, and algorithm development makes them well-suited for roles in data analysis, machine learning, artificial intelligence, and predictive modeling.
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Software Developer/Algorithm Engineer: Graduates may work as software developers or algorithm engineers in software companies, technology startups, or research and development (R&D) departments. They design, implement, and optimize algorithms and software tools for scientific computing, mathematical modeling, and data analysis. Their expertise in mathematical physics, numerical methods, and programming languages such as Python, MATLAB, or C++ enables them to develop innovative solutions to complex computational problems in various domains.
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Consultant/Technical Advisor: Graduates can work as consultants or technical advisors for engineering firms, consulting companies, or government agencies, providing expertise in mathematical modeling, simulation, and analysis. They assist clients in solving challenging technical problems, optimizing processes, and making data-driven decisions in fields such as aerospace, defense, energy, and manufacturing. Their ability to apply mathematical physics principles to real-world problems makes them valuable assets in consulting and advisory roles.
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Educator/Science Communicator: Graduates interested in education and outreach may pursue careers as educators or science communicators, teaching physics, mathematics, or related subjects at schools, colleges, or science centers. They engage students and the public in understanding fundamental principles of physics, mathematical reasoning, and scientific inquiry, inspiring curiosity and interest in the natural world. Their deep understanding of mathematical physics concepts and effective communication skills enable them to convey complex ideas in accessible and engaging ways.
