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BSc in Physics with Data Science with Year Abroad, University of Leicester

Leicester,

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48 Months

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About this course

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Physics with Data Science combines the fundamental laws of nature with innovative mathematical and computational methods to analyze data across various fields like science, business, and government. This degree provides a broad understanding of modern physics and the use of data science techniques, including mathematical, computational, and experimental methods to solve real-world problems. Students study core physics topics such as classical mechanics, electromagnetism, thermodynamics, quantum physics, and more, while also developing specialized knowledge in data science. Opportunities include participating in research projects with physics and applied science groups, utilizing sophisticated data analysis tools, and engaging with research centers dedicated to space missions and astrophysics. The course is designed to prepare students for a wide range of careers in industry and scientific research.

Why this course is highly recommended

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This program is highly valued because it integrates physics with data science, a skill set increasingly demanded in the research, industry, and business sectors. The course is designed for students interested in both scientific understanding and technical skills, preparing them for a data-driven society. The School’s research groups and facilities, such as data centers for space missions and high-performance computing clusters, offer students unique opportunities to work on cutting-edge projects. Ranking 7th in physics subjects for overall positivity (NSS 2024), the course also benefits from strong academic support and links to potential employers, making it an excellent choice for aspiring scientists and data analysts.

Specialisation

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This course allows students to combine a solid foundation in physics with a focus on data science. Alongside core physics topics based on the Institute of Physics areas, students choose specialist data science modules and partake in research projects that apply modern data techniques to physics problems. The program includes options for studying abroad or undertaking industry or research placements, providing further tailored experiences that enhance technical and professional skills.

Course fees

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Application fees

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1st year tuition fees

25.86L

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Living cost

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Degree requirements

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Applicants need to meet the typical offer of ABB in A/AS-levels, including Physics and Maths. Other accepted qualifications include the Access to HE Diploma with at least 45 credits at Level 3 (with 30 distinctions in Maths and Physics), the IB with 30 points (including at least 5 in HL Physics and HL Maths), or BTEC Nationals with a DDM in Science or Engineering plus B at A-level Maths. The course also requires an IELTS score of 6.0 or equivalent in English, especially for international students.
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English language test

IELTS

6

TOEFL

80

PTE

54

DUOLINGO

105

Career prospects

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Graduates of this course can pursue careers in industries demanding data analysis, scientific research, and technology development. Examples include roles in data visualization, product analytics, cybersecurity, medical ultrasound, and research positions at institutions like NASA and academic universities. The program’s practical options, such as research projects, industry placements, and mentoring schemes, help students build relevant skills and professional networks to facilitate successful careers in science, industry, or academia.

FAQs

What are the options for studying abroad or in industry?

Students can opt for a Year Abroad, Year in Industry, or Year in Research in their third year. These options provide valuable experience in international environments, professional workplaces, or research teams, supported by university guidance and competitive applications.

What are the entry requirements?

A typical entry requires ABB in A/AS-levels, including Physics and Maths. Other qualifications like BTEC Nationals, IB, and foundation pathways are considered. For international students, English requirements include IELTS 6.0 or equivalent.