MBA Master of Business Administration
The University of Sheffield offers an MBA program that provides a comprehensive underst...
BSc Data Science
Western Bank
INTAKE: September
Program Overview
The BSc Data Science program at the University of Sheffield is a cutting-edge course designed to equip students with the skills and knowledge required to analyze, interpret, and extract meaningful insights from large and complex datasets. It focuses on statistical analysis, machine learning, programming, and data visualization techniques.
Curriculum: The curriculum for BSc Data Science covers a wide range of subjects including statistics, mathematics, computer programming, machine learning, data mining, and data visualization. It integrates theoretical learning with practical application through hands-on projects and case studies.
Research Focus: The program emphasizes research in data science methodologies, algorithms, and applications. Students have opportunities to engage in research projects exploring areas such as predictive modeling, data-driven decision-making, big data analytics, and artificial intelligence.
Industry Engagement: The University of Sheffield emphasizes industry engagement by collaborating with leading organizations and data-driven companies. Students benefit from industry guest lectures, internships, and real-world projects, gaining practical insights and experiences in data science applications.
Global Perspective: The BSc Data Science program integrates a global perspective by addressing data challenges on a global scale. It explores international case studies, ethical considerations, and societal impacts of data science, preparing students for a career in a globalized data-driven world.
Location
Western Bank
Score
IELTS 6.5
Tuition Fee
£ 25540
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 75% or equivalent in their respective country's grading system.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5 with no individual component below 6.
- TOEFL: A minimum overall score of 88, with at least 19 in Listening, 20 in Reading, 22 in Speaking, and 19 in Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 56.
- Some programs may have specific subject prerequisites or additional requirements.
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 Sheffield offers a range of scholarships and financial support to the students.
Sheffield Scholarship: This scholarship is awarded to high-achieving students who have a conditional or unconditional offer to study a full-time undergraduate course at the University of Sheffield. The scholarship is worth £2,000 per year for up to three years of study.
International Merit Undergraduate Scholarship: This scholarship is available to international students who have a conditional or unconditional offer to study a full-time undergraduate course at the University of Sheffield. The scholarship is worth 50% of the tuition fee for each year of study.
International Baccalaureate Scholarship: This scholarship is available to international students who have completed the International Baccalaureate Diploma and have a conditional or unconditional offer to study a full-time undergraduate course at the University of Sheffield. The scholarship is worth £2,000 per year for up to three years of study.
Graduates from the BSc Data Science program at the University of Sheffield possess specialized skills in data analysis, machine learning, and statistical modeling, paving the way for a multitude of promising career paths across various industries.
Data Analyst/Scientist: Graduates can pursue roles as data analysts or scientists, responsible for collecting, analyzing, and interpreting complex data sets to derive valuable insights and support data-driven decision-making processes.
Machine Learning Engineer: Proficient in machine learning algorithms, graduates may work as machine learning engineers, developing and implementing algorithms to train models and create predictive analytics solutions for businesses.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, utilizing data analysis tools and techniques to extract actionable insights, assisting organizations in making strategic business decisions.
Data Engineer: Professionals may specialize as data engineers, responsible for designing, constructing, and maintaining the infrastructure required to manage and process large volumes of data efficiently.
AI Ethicist/Consultant: With a focus on ethical considerations in data science, graduates can work as AI ethicists or consultants, ensuring ethical and responsible use of data-driven technologies within organizations.
