BSc Mathematics and Statistics

Kings Buildings campus

 

INTAKE: September

Program Overview

The BSc Mathematics and Statistics program at the University of Edinburgh offers students a comprehensive education in both mathematics and statistics, equipping them with strong analytical skills and practical expertise in data analysis and modeling. This interdisciplinary program prepares students for diverse careers in fields such as finance, industry, scientific research, and data science.The BSc Mathematics and Statistics program at the University of Edinburgh provides students with a robust education in mathematical theory, statistical methods, and computational skills essential for careers in data-driven fields. Graduates emerge with analytical expertise and problem-solving abilities sought after by employers in diverse industries, positioning them for rewarding careers in data science, finance, research, and beyond. The BSc Mathematics and Statistics program at the University of Edinburgh is Recognised by the Royal Statistical Society for the purpose of eligibility for the professional award of Graduate Statistician.

  1. Interdisciplinary Curriculum: The BSc Mathematics and Statistics program integrates core mathematics courses with specialized training in statistics. Students study calculus, algebra, probability theory, and statistical methods, gaining a solid foundation in both mathematical theory and practical data analysis techniques.

  2. Mathematical Foundations: Students develop advanced mathematical skills essential for statistical analysis, including calculus, linear algebra, differential equations, and optimization. They learn to apply mathematical principles to solve complex statistical problems.

  3. Statistical Techniques: The program covers a wide range of statistical methods and models used in data analysis, inference, and decision-making. Topics include probability distributions, regression analysis, hypothesis testing, time series analysis, and multivariate statistics.

  4. Computational Skills: BSc Mathematics and Statistics students gain proficiency in programming languages (e.g., R, Python) and statistical software for data manipulation, visualization, and modeling. They learn to implement statistical algorithms and conduct simulations.

  5. Applied Statistics: Students apply statistical techniques to real-world problems in various domains, such as economics, biology, social sciences, and engineering. They learn to interpret and communicate statistical results effectively.

  6. Probability Theory: The program emphasizes probability theory, stochastic processes, and mathematical modeling of random phenomena. Students explore the mathematical foundations of uncertainty and randomness.

  7. Mathematical Finance: Optional modules in mathematical finance introduce students to quantitative methods used in finance, risk management, and investment analysis. They learn to apply statistical tools to financial data and model financial markets.

  8. Research Projects: BSc Mathematics and Statistics students engage in independent research projects, investigating topics in applied mathematics, data science, or statistical modeling under the guidance of faculty mentors.

  9. Elective Courses: The program offers elective courses that allow students to specialize in areas such as machine learning, computational statistics, actuarial science, or business analytics, tailoring their studies to their career interests.

  10. Industry Connections: BSc Mathematics and Statistics students benefit from industry partnerships, internships, and guest lectures. They gain practical experience and insights into potential career paths in finance, consulting, healthcare, technology, and government.

Pollster Education

Location

Kings Buildings campus

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

£ 26500

Undergraduate entry requirements:

  1. Academic Qualifications: Prospective undergraduate applicants to the University of Edinburgh are expected to demonstrate strong academic performance in their secondary education or equivalent qualifications. The typical academic requirement for entry is approximately 80%, calculated based on the applicant's secondary school grades or examination results.  

  2. English Language Proficiency:  

    • IELTS (International English Language Testing System): Minimum overall score of 6.5, with no individual band score less than 6.0.

    • TOEFL (Test of English as a Foreign Language): Minimum score of 92 on the internet-based test (iBT), with at least 20 in each component (Reading, Listening, Speaking, Writing).

    • PTE (Pearson Test of English): Minimum overall score of 62, with no less than 54 in each component (Listening, Reading, Speaking, Writing).

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 Edinburgh offers a range of scholarships and funding opportunities specifically designed to support international students pursuing undergraduate, postgraduate, and research programs. These scholarships aim to promote diversity, academic excellence, and global engagement. 

Global Scholarships: The University of Edinburgh offers Global Scholarships to outstanding international undergraduate students. These scholarships provide financial assistance towards tuition fees and living expenses, enabling talented students from around the world to access quality education at Edinburgh.

Edinburgh Global Undergraduate Scholarships: These scholarships are available to overseas undergraduate students applying for full-time programs at the university. The scholarships cover a portion of the tuition fees for the duration of the undergraduate program.

Edinburgh Global Research Scholarships: International postgraduate students pursuing research-based programs (Ph.D., MSc by Research) can apply for Edinburgh Global Research Scholarships. These scholarships provide full or partial funding for tuition fees and living expenses during the research program.

School-specific Scholarships: Some academic schools and departments within the university offer scholarships targeting international students in specific disciplines or programs. These scholarships may be merit-based or need-based and vary in terms of eligibility criteria and funding amounts.

Commonwealth Scholarships: The University of Edinburgh participates in various Commonwealth scholarship schemes, providing opportunities for students from Commonwealth countries to study in the UK. These scholarships are funded by the UK government and other organizations.

External Funding Sources: International students are encouraged to explore external funding sources, such as government scholarships, private organizations, and international foundations, to support their studies at the University of Edinburgh.

It is important to note that scholarship availability, criteria, and application deadlines may change from year to year.

Graduates of the BSc Mathematics and Statistics program from the University of Edinburgh possess a strong foundation in mathematical theory, statistical methods, and data analysis, making them highly sought after in a variety of industries. 

  1. Data Scientist: Graduates excel in roles as data scientists, leveraging their statistical skills and programming proficiency to analyze large datasets, extract insights, and build predictive models. They work in industries such as technology, finance, healthcare, and marketing.

  2. Statistical Analyst: Graduates work as statistical analysts in research institutions, government agencies, or private companies, conducting statistical studies, interpreting data, and providing evidence-based recommendations.

  3. Actuarial Analyst: Some graduates pursue careers in actuarial science, working in insurance companies or financial services firms. They use statistical methods to assess risk, analyze financial data, and develop pricing models.

  4. Quantitative Analyst (Quant): Graduates with strong mathematical and programming skills may work as quants in finance, developing algorithms for pricing derivatives, optimizing portfolios, or conducting algorithmic trading.

  5. Business Analyst: Graduates apply their analytical skills in business settings, analyzing market trends, customer behavior, and operational performance. They assist in strategic decision-making and process optimization.

  6. Market Research Analyst: Graduates work in market research firms, collecting and analyzing data to assess consumer preferences, market demand, and competitive landscapes. They provide insights to guide marketing strategies and product development.

  7. Consultant: Graduates may pursue consulting careers, providing data-driven solutions to businesses and organizations. They offer expertise in statistical analysis, operational research, and performance optimization.

  8. Healthcare Analyst: Graduates with a background in statistics may work in healthcare settings, analyzing clinical data, conducting epidemiological studies, or supporting health policy research.

  9. Research Scientist: Some graduates pursue research positions in academia or industry, contributing to scientific studies in fields such as biology, environmental science, economics, or social sciences.

  10. Further Studies: Graduates may pursue postgraduate studies (e.g., Master's or PhD) in specialized areas of statistics, data science, or related fields to deepen their expertise and explore advanced research opportunities.


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