BSc (Hons) Data Science and Physics

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education or equivalent with a minimum overall average of 60% or above.  

English Language Proficiency: 

• IELTS: Overall score of 6.0, with no sub-score below 5.5.
• TOEFL: Overall score of 79, with a minimum score of 19 in each section.
• PTE Academic: Overall score of 57, with no sub-score below 50.

Students must provide:

• academic marksheets & transcripts
• letters of recommendation
• a personal statement - SOP
• passport
• other supporting documents as required by the university.

It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.

Keele University offers a range of scholarships and financial support options to attract and assist international students in pursuing their studies. These scholarships are designed to recognize academic excellence, promote diversity, and provide financial assistance to deserving students.

International Excellence Scholarship: The International Excellence Scholarship is awarded to high-achieving international undergraduate students. The scholarship provides a tuition fee discount of up to £2,500 per year for the duration of the undergraduate program. Eligibility is based on academic merit and applicants are automatically considered when they submit their application for admission.

Keele International Student Scholarship: The Keele International Student Scholarship is available to international students enrolling in a postgraduate taught master's degree program. The scholarship provides a tuition fee discount of up to £3,000. Eligibility is based on academic achievement, and applicants are automatically considered when they apply for their chosen postgraduate program.

Commonwealth Shared Scholarship Scheme: Keele University participates in the Commonwealth Shared Scholarship Scheme, which is funded by the UK government. The scheme provides full tuition fees, airfare, and living expenses for students from developing Commonwealth countries. The scholarship is available for selected master's degree programs in specific fields of study.

Global Excellence Scholarship: The Global Excellence Scholarship is awarded to international students who have demonstrated outstanding academic achievement and contribute to the global community. The scholarship provides a tuition fee discount of up to £5,000 for the first year of study. Eligibility is based on academic merit, and applicants are automatically considered when they apply for an eligible undergraduate or postgraduate program.

Country-Specific Scholarships: Keele University also offers scholarships specifically tailored to students from certain countries or regions. These scholarships may vary in terms of eligibility criteria and funding amounts. Examples include the Keele Nigeria Scholarship and the Keele ASEAN Scholarships, which provide financial support to students from Nigeria and Southeast Asia, respectively.

It's important to note that scholarship availability and eligibility criteria may vary each year.

Keele University's BSc (Hons) Data Science and Physics program equips students with a diverse skill set and prepares them for a wide range of career opportunities in data-driven industries, scientific research, technology, finance, and beyond. With the increasing demand for professionals who can analyze complex data and derive meaningful insights, graduates are well-positioned to excel in dynamic and evolving job markets.

1. Data Scientist: Graduates of the BSc (Hons) Data Science and Physics program are well-equipped to pursue roles as data scientists in various industries. They can analyze large datasets, develop predictive models, and derive actionable insights to drive data-driven decision-making processes in sectors such as finance, healthcare, technology, and consulting.

2. Research Physicist: With a strong foundation in physics principles and data analysis techniques, graduates can pursue careers as research physicists. They may work in academic institutions, research laboratories, or private sector companies, conducting experiments, analyzing data, and contributing to advancements in fields such as astrophysics, particle physics, and materials science.

3. Financial Analyst: The analytical skills and quantitative reasoning abilities acquired during the program make graduates well-suited for roles in finance. They can work as financial analysts, leveraging data analytics tools and techniques to assess market trends, evaluate investment opportunities, and optimize financial portfolios for individuals and organizations.

4. Software Developer: Graduates with proficiency in programming languages and computational techniques can pursue careers as software developers. They can design, develop, and maintain software applications, databases, and systems for organizations across various industries, including software development firms, IT companies, and technology startups.

5. Data Engineer: Graduates can pursue roles as data engineers, specializing in the design and implementation of data pipelines, databases, and infrastructure to support data analytics and machine learning workflows. They play a crucial role in managing and processing large volumes of data efficiently and ensuring data quality and integrity within organizations.

6. Consultant: Many consulting firms seek professionals with expertise in data analysis and problem-solving skills. Graduates can work as consultants, providing strategic advice and solutions to businesses across industries, helping them harness the power of data to optimize operations, enhance decision-making processes, and drive business growth.

7. Further Studies: Graduates may choose to pursue further studies at the postgraduate level, specializing in areas such as data science, physics, machine learning, artificial intelligence, or other related fields. Advanced degrees can open up opportunities for research positions, academic roles, or specialized careers in emerging fields of study.