BSc (Hons) Physics with Data Science

Commencing in September 2026, the BSc (Hons) Physics with Data Science is a three-year full-time undergraduate course (UCAS code: F3G6). It provides a robust foundation in both physics and data science, equipping students with the analytical and computational skills necessary to tackle real-world problems. The curriculum is structured to offer flexibility, allowing students to specialize in areas such as quantum mechanics, scientific computing, and data structures and algorithms.

Curriculum: The program integrates core physics modules with data science coursework, ensuring a comprehensive understanding of both disciplines. Students will engage with subjects like quantum mechanics, electrodynamics, and scientific computing, alongside modules focusing on data analysis, machine learning, and statistical methods. This interdisciplinary approach enables students to apply computational techniques to solve complex physical problems. ​

Research Focus: The University of Sussex's Department of Physics and Astronomy is renowned for its cutting-edge research in areas such as quantum information processing, particle physics, and astrophysics. Students in the Physics with Data Science program have the opportunity to collaborate with leading researchers on projects involving the development of next-generation quantum computers, exploration of dark energy, and analysis of data from the James Webb Space Telescope. ​

Industry Engagement: The program emphasizes practical experience and industry collaboration. Students can participate in optional placements and internships, gaining valuable insights into professional practices within the fields of physics and data science. The university's strong connections with industry partners and research institutions provide students with opportunities to apply their learning in real-world settings. ​

Global Perspective: The University of Sussex fosters a global outlook through opportunities for study abroad programs and international field trips. Students have previously engaged in fieldwork in diverse locations such as Ecuador, Southern Africa, and the Red Sea, studying a wide range of native wildlife. These experiences enrich students' understanding of global biodiversity and conservation challenges, preparing them for careers in international environmental and zoological sectors.

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 80% or equivalent in their respective country's grading system.

English language proficiency:

• IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
• TOEFL: A minimum overall score of 80.
• PTE Academic: A minimum overall score of 59.
• Some programs may have specific subject prerequisites or additional requirements.

The University of Sussex offers a range of scholarships and financial support for international students to help make studying in the UK more accessible. These scholarships recognize academic excellence, support for underrepresented groups, and the ambition to help students thrive in their studies.

Sussex International Scholarships: The University offers a range of scholarships specifically for international students, including the Sussex Excellence Scholarships.These awards typically cover a portion of the tuition fees and are available for students pursuing undergraduate or postgraduate degrees.

Specific Country Scholarships: The University also offers country-specific scholarships for students from particular regions, such as Africa, India, and China.These awards are often designed to make studying at Sussex more accessible for students from those regions.

The BSc (Hons) Physics with Data Science program at the University of Sussex prepares students for a wide range of exciting career opportunities at the intersection of physics and data science. With the growing demand for professionals skilled in both scientific principles and computational techniques, graduates of this program are highly sought after across multiple industries, including technology, finance, healthcare, and research.

Data Scientist: Equipped with advanced data analysis, machine learning, and statistical techniques, graduates can work as data scientists. These professionals analyze large datasets to extract meaningful insights and support decision-making processes in sectors such as technology, finance, and healthcare.

Computational Physicist: Graduates can work as computational physicists, applying their knowledge of physics and data science to solve complex problems in fields such as quantum mechanics, astrophysics, or material science. They use simulations and models to predict physical phenomena, contributing to scientific research and technological advancements.

Software Engineer: With strong programming skills developed throughout the course, graduates can pursue careers in software engineering, working to design, build, and maintain software systems. Their expertise in both coding and problem-solving allows them to work on applications in areas such as scientific computing, data analytics, or machine learning.

Quantitative Analyst (Quant): The program’s emphasis on mathematical modeling and statistical analysis prepares graduates for roles as quantitative analysts, or "quants." In this career, they work within the finance sector, using data-driven techniques to model financial markets, assess risks, and develop investment strategies.

Machine Learning Engineer: With knowledge of data science and programming, graduates can become machine learning engineers, specializing in the development and implementation of algorithms that enable systems to "learn" from data. This field is in high demand across industries, including tech, robotics, and AI.

Astrophysicist or Particle Physicist: For those with a passion for fundamental science, the program provides the foundation for careers in research institutions or academia as astrophysicists or particle physicists. These specialists study the universe, subatomic particles, and fundamental forces, using data science tools to process large datasets from experiments.

Operations Research Analyst: Graduates can enter the field of operations research, applying mathematical models and data analytics to optimize processes in industries such as logistics, manufacturing, and transportation. They help organizations make more informed decisions based on data-driven insights.

Research Scientist: Many graduates choose to continue in academia or research organizations, working as research scientists. They apply their knowledge of physics and data science to conduct experiments, develop new technologies, or explore theoretical concepts in fields like material science, quantum computing, or biophysics.

Technical Consultant: Graduates with both physics and data science expertise can become technical consultants, offering their knowledge to businesses and organizations that need help solving complex technical problems. These consultants may work in areas like software development, AI, or big data solutions.

Systems Engineer: The skills in problem-solving, system modeling, and programming gained in the program make graduates well-suited for careers as systems engineers. These professionals design and manage complex systems, such as those used in aerospace, defense, or telecommunications.