Scientific and Data Intensive Computing MSc

Students on the MSc in Scientific and Data Intensive Computing at University College London develop practical skills through a program that blends rigorous theoretical study with extensive hands-on programming and project work. They gain experience using advanced scientific computing and data analysis tools, supported by access to high-performance computing resources, programming workshops, and active participation in scientific seminars. This practical approach ensures students master professional software development alongside computational science techniques.

Experiential learning includes:

• Use of UCL’s high-performance computing facilities for complex simulations and data-intensive tasks.

• Training in professional software development with languages such as Python and C++, utilizing scientific libraries and tools.

• Participation in programming projects and assignments integrated with taught modules, reinforcing real-world applications.

• Opportunities to engage in research-led seminars, for example, at the UCL Centre for Inverse Problems, fostering interdisciplinary collaboration.

• Access to UCL’s extensive libraries and digital resources for computational science.

• Support from academic staff and technical specialists during practical sessions and dissertation projects, enabling personalized learning experiences.

This dynamic, resource-rich environment equips graduates with both the theoretical and practical expertise to excel in scientific computing and related fields.

Graduates of the MSc in Scientific and Data Intensive Computing at University College London have an outstanding track record of securing roles that leverage their advanced computational, data analysis, and scientific software development skills. Typical career roles include data scientist, scientific software engineer, quantitative analyst, and research technologist, reflecting the program’s blend of rigorous scientific computing and real-world data-intensive applications. This program equips students to thrive in both industry and academia, opening doors to impactful and innovative careers.

Specifically:

• UCL’s dedicated Careers Service supports students with personalized career coaching, sector-specific workshops, employer networking events, and internship placement assistance tailored to scientific computing and data science fields.

• Graduate employment surveys show over 90% of program alumni secure relevant full-time positions within 15 months, with competitive starting salaries reflecting the program’s high demand among global employers.

• The program benefits from active collaborations with leading tech and science organizations, facilitating research projects, internships, and industry engagement opportunities.

• Although not professionally accredited, the program is widely recognized for its academic rigor and relevance, giving graduates a strong foundation for career or doctoral studies advancement.

• Graduates often progress to influential roles in scientific computing, big data analytics, financial modeling, and research institutes worldwide.

Further Academic Progression:
Graduates may continue their studies through PhD research at UCL or other leading universities, with the MSc providing a solid platform for specializing in data science, computational modeling, or related doctoral-level disciplines.