BSc (Hons) Data Science (International or Placement Year)

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 equips graduates with sought-after skills and knowledge to excel in diverse career paths within the rapidly growing field of data science. Graduates of this program are well-prepared to pursue rewarding opportunities in industries ranging from finance and healthcare to technology and consulting.  

1. Data Scientist/Data Analyst: Graduates can embark on careers as data scientists or data analysts, leveraging their expertise in data manipulation, statistical analysis, and machine learning to extract insights from large datasets and inform decision-making.

2. Machine Learning Engineer: With a strong foundation in machine learning techniques and algorithms, graduates can pursue roles as machine learning engineers, designing and implementing advanced models to automate processes and improve system performance.

3. Business Intelligence Analyst: Graduates with a focus on data visualization and business intelligence can pursue roles as BI analysts, helping organizations translate complex data into actionable insights for strategic planning and operations.

4. Quantitative Analyst (Quant): The program's emphasis on mathematics and statistical analysis prepares graduates for roles in finance as quantitative analysts, where they use data-driven methods to develop models for risk assessment, trading strategies, and financial forecasting.

5. Data Consultant/Strategy Consultant: Graduates can work as data consultants or strategy consultants, advising businesses on leveraging data to optimize operations, enhance customer experiences, and drive innovation.

6. Research Scientist: Those interested in research can pursue roles as research scientists, contributing to advancements in areas such as healthcare, environmental science, or social sciences through data-driven research.

7. IT/Data Project Manager: Graduates with strong project management skills and technical expertise can pursue roles as IT or data project managers, overseeing the development and implementation of data-related projects within organizations.

8. Entrepreneur/Startup Founder: The program equips graduates with the knowledge and skills needed to launch their own data-focused ventures, leveraging data science techniques to address emerging market needs and drive innovation.