Program Overview
The Physics with Data Science BSc (Hons) program at the University of Sussex equips students with the skills to tackle data-driven challenges in modern science. Blending physics fundamentals with data analysis techniques, this program prepares graduates for diverse careers in fields such as data science, software engineering, and investment analysis. With expert faculty, a supportive environment, and access to top-ranked research facilities, students gain the knowledge and experience necessary to excel in the rapidly evolving field of data-driven physics.
Program Outline
Degree Overview:
This program is designed for students interested in both physics and data analysis, particularly machine learning. It aims to equip students with the skills to tackle data-driven challenges in modern science, including modeling disease evolution, mitigating climate change, and optimizing business models. The program covers the fundamentals of both physics and data science, allowing students to specialize in areas like quantum mechanics, scientific computing, electrodynamics, and data structures and algorithms. Students will have the opportunity to work on final year projects with expert physicists and data scientists, gaining valuable skills in computer programming, data analysis, and research.
Outline:
The program is a 3-year full-time BSc (Hons) degree.
Year 1:
- Core Modules:
- Foundations of Data Analysis
- Introduction to Astrophysics
- Mathematical Methods for Physics 1
- Mechanics and Heat
- Physics Study Success
- Data Structures & Algorithms
- Mathematical Methods for Physics 2
- Physics Year 1 Laboratory
- Waves, Fields and Modern Physics
Year 2:
- Core Modules:
- Electrodynamics
- Mathematical Methods for Physics 3
- Physics Year 2 Laboratory
- Scientific Computing
- Applied Machine Learning
- Applying Physics Skills
- Quantum Mechanics 1
- Thermal and Statistical Physics
Year 3:
- Core Modules:
- Atomic Physics
- Condensed State Physics
- Linear Statistical Models (L6)
- BSc Final Year Project
- Statistical Inference (L.6)
- Optional Modules:
- Advanced Condensed State Physics
- Lasers and Photonics
- Neural Networks
- Particle Physics
- Quantum Mechanics 2
- Researching STEM
Teaching:
The program is taught by a team of expert physicists and data scientists who are at the forefront of their fields. The department is described as a friendly and close-knit community, with lecturers who are available to offer support.
Careers:
The program prepares students for a diverse range of graduate jobs, including:
- Data scientist or data analyst
- Software engineer
- Investment analyst
- Financial trader
- Game designer
- CAD technician
- Teacher The department provides dedicated careers and CV advice, including careers fairs, forums, and a dedicated careers officer. Students also have opportunities to meet potential employers and participate in paid work opportunities within the department.
Other:
- The program is ranked 7th in the UK for its research environment in Physics according to REF 2021 (Times Higher Education).
- Students can apply for an optional placement as part of their course, gaining experience and increasing their employability.
- The department is part of the SEPnet (South East Physics Network) consortium, which provides links to universities and industries across the region.
- The program is offered as a 4-year MPhys with an integrated Masters year.
