BSc (Hons)Data Science

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 60 to 65% or equivalent in their respective country's grading system.

English Language Proficiency:

• IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
• TOEFL: A minimum score of 80, with a minimum of 20 in each component.
• PTE: A minimum overall score of 59, with no individual score below 51.

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.

The University of Wolverhampton offers various scholarships and financial support opportunities to help students with their educational expenses. These scholarships are available for both undergraduate and postgraduate students and are awarded based on different criteria such as academic merit, financial need, and specific eligibility requirements. 

Vice-Chancellor's International Scholarships: These scholarships are available for international students applying to full-time undergraduate or postgraduate programs. The scholarships provide a reduction in tuition fees and are awarded based on academic achievement.

Academic Excellence Scholarship: This scholarship is open to both domestic and international students entering their first year of an undergraduate program. It rewards high-achieving students with a reduction in tuition fees for the first year of study.

Sports Scholarships: The university offers sports scholarships to support talented athletes who have achieved a high level of performance in their sport. These scholarships provide financial support and various benefits to help athletes balance their studies and training.

Alumni Discount: The University of Wolverhampton offers a discount on tuition fees for eligible alumni who choose to pursue further studies at the university.

Graduating with a BSc (Hons) in Data Science from the University of Wolverhampton opens up diverse and lucrative career opportunities in the rapidly growing field of data analytics, machine learning, and artificial intelligence. Data scientists are in high demand across various industries, including finance, healthcare, technology, retail, and government, where data-driven decision-making is essential for business success and innovation.  

1. Data Scientist: Graduates can pursue roles as data scientists, leveraging their skills in data analysis, statistical modeling, and machine learning to extract actionable insights from large datasets and drive business decisions.

2. Data Analyst: Graduates may work as data analysts, responsible for collecting, cleaning, and analyzing data to identify trends, patterns, and correlations that inform strategic business decisions.

3. Machine Learning Engineer: Graduates with expertise in machine learning can work as machine learning engineers, developing and deploying predictive models and algorithms that automate processes and optimize performance.

4. Business Intelligence Developer: Graduates may specialize in business intelligence, designing and implementing data warehouses, dashboards, and reporting tools to support data-driven decision-making within organizations.

5. Data Engineer: Graduates can pursue roles as data engineers, responsible for building and maintaining data pipelines, databases, and infrastructure to support data analysis and machine learning applications.

6. Quantitative Analyst (Quant): Graduates interested in finance can work as quantitative analysts, applying mathematical and statistical techniques to analyze financial data and develop trading strategies.

7. Research Scientist: Graduates may pursue research roles in academia, industry, or government, conducting research in areas such as artificial intelligence, computational biology, or data-driven social sciences.

8. Data Consultant: Graduates can work as data consultants, providing advisory services to organizations on data strategy, analytics implementation, and technology adoption to optimize business performance.

9. Health Data Analyst: Graduates interested in healthcare can work as health data analysts, analyzing medical data to improve patient care, optimize healthcare delivery, and support medical research.

10. Data Science Entrepreneur: Graduates with entrepreneurial ambitions can start their data science consulting firms or technology startups, offering specialized data analytics services or developing innovative data-driven solutions.