Program Overview
The Mathematical Modelling and Scientific Computing at University of Oxford is a MSc programme in Humanities over 12 months, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of humanities. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Mathematical Modelling and Scientific Computing programme are well-prepared for careers in academia, industry, government, and the private sector across United Kingdom and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Duration: 12 months
- Language of instruction: English
- Study mode: On-campus
- Tuition: EUR 13,455 (Tuition (Year)) — International students; EUR 3,739 (Tuition (Year)) — EU/EEA students
- Location: Oxford, United Kingdom
Career Opportunities
Graduates of the Mathematical Modelling and Scientific Computing programme are prepared for diverse careers in humanities:
- Researcher / Academic
- Cultural Programme Manager
- Editor / Writer
- Translator / Interpreter
- Museum Curator
- Communications Specialist
Program Curriculum
Course Structure
- A1 Mathematical Methods
- A2 Applied Partial Differential Equations
- B1 Numerical Solution of Differential Equations and Numerical Linear Algebra
- B2 Finite Element Methods and Further Numerical Linear Algebra
- The 6 lectures comprising Introduction to Applied Mathematics (Dr Irene Moroz), synopsis, course material
- The 14 lectures comprising Techniques of Applied Mathematics (Dr Andreas Münch), synopsis, course material
- The 8 lectures comprising Mathematical Methods (Professor Jon Chapman), synopsis, course material
- The 16 lectures comprising Applied Partial Differential Equations (Professor Helen Byrne), synopsis, course material
- The 8 lectures comprising Further Partial Differential Equations (Dr Paul Dellar), synopsis, course material
- The 16 lectures comprising Numerical Solution of Differential Equations I (Dr Ian Sobey), synopsis, course material
- The first 8 lectures from the course Numerical Linear Algebra (Professor Holger Wendland), synopsis, course material
- The second 8 lectures from the course Numerical Linear Algebra (Professor Holger Wendland, MT), synopsis, course material
- The 16 lectures comprising Finite Element Methods (Professor Endre Süli), synopsis, course material
Admission Requirements
Academic Requirements
The usual background is a good undergraduate degree (for UK applicants this means a 2.1 or higher) in a subject with significant mathematical content.
A reasonable level of competency in mathematical analysis and linear algebra is required for this course. The speed at which the course proceeds does not allow any time to catch up on basic material.
English language competence
- IELTS: an overall score of 7.5
- TOEFL: an overall score of 630
- Cambridge Certificate of Proficiency in English (CPE) Grade B.
Tuition & Financial Information
Tuition Fee
EUR 13,455 (Tuition (Year)) — International students; EUR 3,739 (Tuition (Year)) — EU/EEA students
Tuition fees: EUR 13,455 (Tuition (Year)) — International students; EUR 3,739 (Tuition (Year)) — EU/EEA students
Financial Aid & Scholarships
Contact University of Oxford directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About University of Oxford
University of Oxford
Oxford, United Kingdom
University of Oxford is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen fields. The...
University Profile- Start Date 2017-10-01
- Language English
- Duration 12 months