BSc (Hons) Data Science

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.

The BSc (Hons) Data Science program at Keele University prepares graduates for diverse and in-demand career opportunities in the rapidly expanding field of data science. With a blend of technical skills, analytical capabilities, and domain knowledge, graduates are well-positioned to contribute to data-driven decision-making processes across various sectors.  

1. Data Analyst: Graduates can pursue roles as data analysts, responsible for collecting, processing, and analyzing data to derive actionable insights. They use statistical techniques and data visualization tools to present findings that inform business strategies and operational decisions.

2. Data Scientist: Data scientists apply advanced analytics and machine learning algorithms to uncover patterns and trends within large datasets. They develop predictive models, conduct data experiments, and collaborate with cross-functional teams to solve complex problems and drive innovation.

3. Business Intelligence Specialist: Business intelligence specialists leverage data to support organizational decision-making. They design and maintain data systems, create dashboards and reports, and provide strategic recommendations based on data analysis to optimize business performance.

4. Machine Learning Engineer: Graduates interested in artificial intelligence and machine learning can pursue roles as machine learning engineers. They develop algorithms, build predictive models, and deploy machine learning solutions to automate processes and enhance product capabilities.

5. Database Administrator: With expertise in database management, graduates can work as database administrators, responsible for designing, implementing, and maintaining databases to ensure data integrity and accessibility.

6. Data Consultant: Data consultants work with clients to identify business challenges and develop data-driven solutions. They provide expertise in data strategy, data architecture, and data governance to optimize data management practices.

7. Research Analyst: Graduates can explore opportunities in research organizations or academic institutions, conducting data-driven research projects and contributing to scientific advancements in fields like healthcare, social sciences, and environmental studies.

8. Data Engineer: Data engineers focus on the development and management of data infrastructure. They design scalable data pipelines, integrate data from multiple sources, and ensure data quality and reliability for analytics and applications.