Mres European Social Policy
The University of Bath offers a diverse range of programs across multiple disciplines, ...
Claverton Down
INTAKE: September
The BSc (Hons) Mathematics, Statistics and Data Science with Professional Placement program at the University of Bath is designed to equip students with a solid foundation in mathematical and statistical theory, coupled with practical skills in data science and analytics. This interdisciplinary program integrates mathematical rigor with computational techniques, preparing students for careers in fields such as finance, healthcare, marketing, and technology. With a focus on real-world applications and professional experience, students gain the knowledge and expertise to tackle complex data challenges and drive informed decision-making in various industries.
Curriculum: The curriculum of the BSc (Hons) Mathematics, Statistics and Data Science with Professional Placement program covers a wide range of topics, including calculus, linear algebra, probability theory, statistical inference, machine learning, and data visualization. Core modules provide students with a strong mathematical and statistical foundation, while specialized modules delve into advanced topics in data science, such as predictive modeling, big data analytics, and computational methods. Students engage in hands-on projects, case studies, and practical exercises, applying mathematical and statistical concepts to analyze real-world datasets and solve complex problems.
Research Focus: The BSc (Hons) Mathematics, Statistics and Data Science with Professional Placement program emphasizes research-led teaching and experiential learning, encouraging students to explore theoretical concepts and engage in independent research projects. Students have the opportunity to collaborate with faculty members on research initiatives, participate in research seminars, or undertake research internships with industry partners. Research projects may focus on areas such as predictive modeling, statistical inference, or data-driven decision-making, allowing students to develop critical thinking skills and contribute to advancements in mathematics, statistics, and data science.
Industry Engagement: The University of Bath has strong connections with industry partners in sectors such as finance, healthcare, technology, and government, providing students with opportunities for industry engagement and professional development. Through placements, internships, or industry-sponsored projects, students gain practical experience in applying mathematical, statistical, and data science techniques to real-world problems. Industry engagements enable students to develop transferable skills, build professional networks, and gain insights into career pathways in data analysis, business intelligence, risk management, and more.
Global Perspective: The BSc (Hons) Mathematics, Statistics and Data Science with Professional Placement program offers students a global perspective on data science and analytics, preparing them to work in an interconnected and diverse world. Students have the opportunity to study alongside peers from different cultural backgrounds, collaborate on international research projects, or participate in study abroad programs at partner institutions. Exposure to global perspectives in data science research, applications, and ethical considerations enhances students' understanding of cross-cultural challenges and opportunities in harnessing data for innovation and impact.
Claverton Down
IELTS 6.5
£ 26200
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 80 to 85% or equivalent in their respective country's grading system.
English Language Proficiency:
Students must provide:
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 Bath, UK, offers a range of scholarships and financial support options to international students. These scholarships are designed to help make education more accessible and affordable for students pursuing their studies at the university.
Chancellor's Scholarships: The Chancellor's Scholarships are among the most prestigious awards offered by the University of Bath. They are open to international undergraduate and postgraduate students who demonstrate outstanding academic achievements. These scholarships cover full or partial tuition fees and are highly competitive.
International Baccalaureate 50th Anniversary Scholarship: This scholarship is available to international students who have completed the International Baccalaureate (IB) Diploma program with exceptional results. It offers a financial award to support the student's undergraduate studies at Bath.
Chevening Scholarships: While not specific to the University of Bath, international students from eligible countries can apply for Chevening Scholarships, which cover the cost of studying in the UK, including tuition fees, living expenses, and more.
Commonwealth Scholarships: The university participates in the Commonwealth Scholarship program, which offers scholarships to students from Commonwealth countries to study in the UK.
Graduates of the BSc (Hons) Mathematics, Statistics and Data Science with Professional Placement program at the University of Bath are well-equipped to pursue diverse and lucrative career opportunities in various sectors that require advanced analytical skills and data-driven decision-making.
Data Analyst/Statistician: Graduates can work as data analysts or statisticians, utilizing their strong mathematical and statistical background to analyze large datasets, extract meaningful insights, and present actionable recommendations to businesses or organizations. They may work in industries such as finance, healthcare, marketing, or government, assisting in data-driven decision-making processes and helping organizations optimize their operations.
Data Scientist/Machine Learning Engineer: Graduates can pursue careers as data scientists or machine learning engineers, leveraging their expertise in data analysis, statistical modeling, and machine learning algorithms to develop predictive models, recommendation systems, and other AI-powered solutions. They may work in tech companies, startups, or research institutions, contributing to projects ranging from predictive analytics to natural language processing and computer vision.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, focusing on transforming data into actionable insights that drive business strategy and decision-making. They analyze business performance metrics, identify trends, and provide strategic recommendations to improve operational efficiency, customer satisfaction, and revenue generation. Business intelligence analysts play a crucial role in helping organizations gain a competitive edge in the market.
Quantitative Analyst/Financial Analyst: Graduates can pursue careers as quantitative analysts or financial analysts in the finance industry, applying their mathematical and statistical skills to develop quantitative models, assess risk, and optimize investment strategies. They may work for investment banks, hedge funds, or asset management firms, conducting financial modeling, portfolio analysis, and risk management to support investment decisions.
Risk Analyst/Data Risk Manager: Graduates can work as risk analysts or data risk managers, specializing in identifying and mitigating risks associated with data privacy, security, and compliance. They assess data-related risks, develop risk management strategies, and ensure regulatory compliance with data protection laws such as GDPR. Risk analysts and data risk managers play a critical role in safeguarding sensitive information and protecting organizations from data breaches or regulatory penalties.
Consultant/Advisor: Graduates can work as consultants or advisors, providing expertise in mathematics, statistics, and data science to help organizations solve complex problems and achieve their business objectives. They may work for consulting firms, providing data-driven solutions in areas such as marketing analytics, supply chain optimization, or customer segmentation. Consultants and advisors play a key role in driving innovation and transformation in organizations across various industries.
Researcher/Academician: Graduates can pursue careers as researchers or academicians, contributing to advancements in mathematics, statistics, and data science through academic research and teaching. They may work in universities, research institutes, or governmental agencies, conducting research in areas such as applied mathematics, statistical modeling, or data analysis. Researchers and academicians play a vital role in expanding the knowledge frontier and training the next generation of data scientists and analysts.