MPhil in Scientific Computing

The MPhil in Scientific Computing at the University of Cambridge allows students to gain practical skills through hands-on experience with advanced computational methods, software development, and numerical simulations essential for solving real-world scientific problems. Students benefit from access to state-of-the-art high-performance computing facilities and collaborate closely with experts in computational science and engineering, connecting theoretical learning with impactful applications. The program emphasizes developing expertise in programming, algorithm design, and scientific software, supported by a rich research environment.

Experiential learning includes:

• Access to the University’s High-Performance Computing Service for large-scale simulations and computational experiments.

• Practical training in advanced programming languages, scientific software tools, and numerical libraries tailored for scientific computation.

• Engagement in an extensive research project under expert supervision, fostering skills in independent scientific inquiry and software development.

• Participation in seminars, reading groups, and workshops organized by the Centre for Scientific Computing, enriching interdisciplinary collaboration and innovation.

• Use of Cambridge’s comprehensive research libraries and digital databases supporting exploration of computational science literature.

• Opportunities to collaborate on research projects aligned with cutting-edge scientific challenges such as nuclear fusion, quantum chemistry, and machine learning for simulations.

This well-resourced and research-driven environment ensures students graduate with the skills and confidence to excel in academic research or high-tech industries.

Graduates of the MPhil in Scientific Computing at the University of Cambridge are highly sought after for their advanced computational expertise and research skills, leading to successful careers in academia, industry, and research institutions. Typical roles include software engineer, data scientist, research scientist, and quantitative analyst, reflecting the program’s strong foundation in computational science applied to real-world problems. This position prepares graduates for impactful careers where innovation and technical excellence are paramount.

Specifically:

• The University’s Careers Service provides tailored advice, employer networking events, and internship placement support focused on STEM and computational science sectors.

• Employment statistics show a majority of graduates find relevant employment or progress to further academic research within 6 to 12 months, with average starting salaries around £65,000.

• The program benefits from industry partnerships and research collaborations with leading tech companies and scientific institutions, such as Microsoft Research and the Alan Turing Institute.

• While not professionally accredited, the MPhil is globally recognized for its academic rigor, facilitating entry to PhD programs and research careers worldwide.

• Graduates demonstrate strong progression to PhD studies at Cambridge and other top universities, or into roles developing advanced scientific software, AI, and computational techniques.

Further Academic Progression:
Graduates often continue with doctoral research at Cambridge or other leading institutions, leveraging the MPhil project and training as a springboard to pioneering research careers in scientific computing and related fields