MSc Accounting and Financial Management
The University of Bristol's MSc in Accounting and Finance is designed to equip stud...
BSc Data Science
Clifton
INTAKE: September
Program Overview
The BSc Data Science program at the University of Bristol stands at the forefront of contemporary education, catering to the burgeoning field of data-driven decision-making and analysis. This innovative program equips students with the skills to navigate the rapidly evolving landscape of data science and emerging technologies.
Curriculum: The curriculum of the BSc Data Science program at Bristol University is meticulously crafted, encompassing a blend of computer science, mathematics, and statistics. Students engage in a diverse range of modules covering programming languages, machine learning, data visualization, and ethical considerations in data usage. This comprehensive approach ensures graduates have a strong foundation in both theoretical concepts and practical applications essential for data science roles.
Research Focus: The University of Bristol has a robust emphasis on research, and the BSc Data Science program reflects this commitment. Students have opportunities to engage in cutting-edge research initiatives exploring artificial intelligence, data mining, predictive modeling, and more. Through projects and collaborations with faculty, students develop critical research skills and contribute to advancements in the field.
Industry Engagement: The program fosters strong ties with industry partners, providing students with exposure to real-world applications of data science. Through internships, industry-led projects, and guest lectures from professionals, students gain practical insights and hands-on experience. These engagements prepare graduates to seamlessly transition into the industry, understanding industry demands and utilizing their skills effectively.
Global Perspective: With data transcending borders, the BSc Data Science program emphasizes a global perspective. Students explore global case studies, ethical considerations in data collection, and cultural implications of data usage. This broadens their understanding of data's impact on diverse societies and fosters a responsible approach to data-driven decision-making on a global scale.
Location
Clifton
Score
IELTS 6.5
Tuition Fee
£ 27200
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 85% 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 22 in Listening, 24 in Reading, 21 in Speaking, and 20 in Writing.
- PTE Academic: A minimum overall score of 66 with no individual score below 60.
- 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 Bristol offers a range of scholarship opportunities to both domestic and international students.
Vice-Chancellor’s Scholarship: This scholarship is offered to high-achieving students who are starting their undergraduate or postgraduate studies at the University of Bristol. The scholarship covers full tuition fees and a maintenance allowance.
Think Big Scholarship: This scholarship is awarded to international students who have demonstrated exceptional academic merit and potential.
Sanctuary Scholarship: This scholarship is awarded to asylum seekers, refugees, and their immediate family members who are seeking an undergraduate or postgraduate degree at the University of Bristol. The scholarship covers full tuition fees and a maintenance allowance.
Graduating from the esteemed BSc Data Science program at the University of Bristol opens an array of promising career paths, leveraging a solid foundation in data analytics, machine learning, and statistical modeling.
Data Analyst/Scientist: Data science graduates are equipped to thrive as data analysts or scientists in various industries. They extract insights from complex datasets, develop algorithms, and apply statistical methods to aid decision-making processes in sectors such as finance, healthcare, marketing, and technology.
Machine Learning Engineer: With expertise in machine learning algorithms and programming, graduates excel as machine learning engineers. They design and implement machine learning models, work on pattern recognition, and develop predictive systems for companies focusing on AI-driven solutions.
Business Intelligence Analyst: Proficiency in data visualization, data mining, and analytics enables graduates to pursue roles as business intelligence analysts. They interpret data trends, create dashboards, and provide valuable insights to drive strategic business decisions for organizations across diverse sectors.
Data Engineer: Graduates proficient in database management, ETL (Extract, Transform, Load) processes, and big data technologies often pursue careers as data engineers. They design and manage data infrastructure, ensuring efficient data pipelines and storage systems for organizations dealing with large datasets.
Data Consultant/Strategist: Skilled in interpreting data to derive actionable insights, graduates thrive as data consultants or strategists. They collaborate with businesses, offering strategic advice on leveraging data, optimizing operations, and implementing data-driven strategies for growth and efficiency.
AI Ethicist/Policy Advisor: With a comprehensive understanding of ethical considerations in data usage, graduates can contribute as AI ethicists or policy advisors. They engage in shaping policies and frameworks around responsible AI and data governance for governmental bodies, think tanks, or tech companies.
Research Scientist/Academia: For those inclined towards research, pursuing roles as research scientists or pursuing further academic studies is viable. Graduates can contribute to advancing the field of data science through academic research or pursue higher education, exploring doctoral programs or postdoctoral research opportunities.
