Mres European Social Policy
The University of Bath offers a diverse range of programs across multiple disciplines, ...
BSc (Hons) Mathematics, Statistics and Data Science
Claverton Down
INTAKE: September
Program Overview
The BSc (Hons) Mathematics, Statistics and Data Science program at the University of Bath offers students a dynamic interdisciplinary education that combines mathematical theory, statistical methods, and data science techniques. This program equips students with the analytical and computational skills needed to tackle complex problems in various fields such as finance, healthcare, technology, and beyond. Through a blend of theoretical study, practical applications, and real-world projects, students develop a deep understanding of mathematical concepts and their applications in data analysis, modeling, and decision-making.
Curriculum: The curriculum of the BSc (Hons) Mathematics, Statistics and Data Science program is designed to provide students with a solid foundation in mathematics and statistics, alongside specialized training in data science methodologies and tools. Core modules cover topics such as calculus, linear algebra, probability theory, statistical inference, machine learning, and data visualization. Students also have the flexibility to choose elective modules that align with their interests and career goals, such as computational statistics, time series analysis, big data analytics, or mathematical finance. The program emphasizes hands-on learning through practical exercises, programming assignments, and project-based assessments, allowing students to apply mathematical and statistical techniques to real-world datasets and problems.
Research Focus: Research is an integral part of the BSc (Hons) Mathematics, Statistics and Data Science program at the University of Bath. Students have the opportunity to engage in research projects supervised by faculty members who are experts in mathematical modeling, statistical analysis, or data science applications. Whether it's conducting theoretical research, developing computational models, or analyzing real-world datasets, students gain valuable research experience and enhance their problem-solving skills. Research opportunities enable students to explore cutting-edge topics in mathematics, statistics, and data science, contribute to scientific knowledge, and develop innovative solutions to complex problems.
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 practical experience. Through internships, placements, or collaborative projects, students have the chance to work with leading companies, data analytics firms, research laboratories, or governmental agencies. Industry engagements allow students to apply their mathematical and statistical skills in professional settings, gain insight into industry practices and challenges, and build professional networks that enhance their career prospects upon graduation.
Global Perspective: With a focus on addressing global challenges and opportunities in data-driven decision-making, the BSc (Hons) Mathematics, Statistics and Data Science program encourages students to consider the global dimensions of mathematics, statistics, and data science. Through coursework, research projects, and international collaborations, students gain exposure to diverse applications of mathematical and statistical techniques in different cultural, economic, and social contexts. Opportunities for study abroad programs, international internships, or participation in global data science competitions further broaden students' perspectives and prepare them to work effectively in multicultural and international environments.
Location
Claverton Down
Score
IELTS 6.5
Tuition Fee
£ 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:
- IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.0.
- TOEFL: A minimum overall score of 100, with at least 24 in Listening, Reading, Speaking, and Writing.
- PTE: A minimum overall score of 69 with no individual score below 62.
- DET: The Duolingo English Test (DET) is accepted with a minimum score of 130.
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 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 program at the University of Bath possess a versatile skill set that opens doors to a wide range of career opportunities in various industries.
Data Analyst: Graduates can pursue careers as data analysts, working for organizations in sectors such as finance, healthcare, marketing, and technology. Data analysts collect, clean, and analyze large datasets using statistical techniques and data visualization tools to extract valuable insights and inform decision-making processes. They may be involved in identifying trends, predicting future outcomes, or optimizing business operations based on data-driven evidence.
Statistical Analyst: Graduates can work as statistical analysts, specializing in the analysis and interpretation of data to support research, policy development, or quality improvement initiatives. Statistical analysts design experiments, conduct surveys, and perform statistical tests to generate meaningful findings and recommendations. They may work for government agencies, research institutions, or consulting firms, contributing to projects related to public health, social sciences, or environmental studies.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, leveraging their mathematical and statistical skills to develop predictive models, algorithms, and machine learning solutions. Machine learning engineers design and train models using techniques such as neural networks, decision trees, and support vector machines to automate decision-making processes, detect patterns, or classify data. They may work for technology companies, startups, or research labs, developing innovative solutions for applications such as recommendation systems, image recognition, or natural language processing.
Quantitative Analyst (Quant): Graduates can work as quantitative analysts, also known as quants, in the finance industry, where they apply mathematical and statistical methods to analyze financial markets, assess risk, and develop trading strategies. Quants build mathematical models to price financial instruments, estimate portfolio risk, and optimize investment decisions. They may work for investment banks, hedge funds, or asset management firms, contributing to the development of algorithmic trading systems or risk management frameworks.
Data Scientist: Graduates can pursue careers as data scientists, combining expertise in mathematics, statistics, and programming to extract insights from complex datasets and solve challenging problems. Data scientists work on projects such as predictive modeling, customer segmentation, or recommendation systems, using techniques such as regression analysis, clustering, and deep learning. They may work for technology companies, e-commerce platforms, or research organizations, driving data-driven innovation and decision-making across various domains.
Business Intelligence Analyst: Graduates can work as business intelligence analysts, supporting organizations in making informed decisions by providing actionable insights derived from data analysis. Business intelligence analysts develop dashboards, reports, and KPIs to monitor business performance, identify trends, and measure key metrics. They may work for corporate enterprises, consulting firms, or data analytics providers, helping businesses optimize processes, allocate resources, and achieve strategic objectives through data-driven insights.
Research Scientist: Graduates can pursue careers as research scientists, working in academic institutions, government agencies, or private research organizations to advance knowledge in mathematics, statistics, or data science. Research scientists conduct theoretical or applied research, publish findings in academic journals, and contribute to interdisciplinary projects that address complex scientific challenges. They may specialize in areas such as computational biology, environmental modeling, or social network analysis, collaborating with multidisciplinary teams to solve real-world problems using mathematical and statistical methods.
