BSc(Econ)(Hons) Economics, Statistics and Mathematics

London

 

INTAKE: September

Program Overview

The BSc(Econ)(Hons) Economics, Statistics, and Mathematics program at Queen Mary University of London integrates economic theory, statistical analysis, and mathematical modeling to equip students with a robust quantitative skill set applicable in economics and various industries.

Curriculum: The curriculum encompasses core economic principles, statistical methods, and mathematical techniques. Students study microeconomics, macroeconomics, econometrics, probability theory, calculus, linear algebra, and statistical modeling. This interdisciplinary approach aims to provide a strong foundation in quantitative analysis and economic theory.

Research Focus: The program emphasizes applied research methodologies, allowing students to explore economic models, statistical analysis, and mathematical modeling techniques. Students undertake projects focusing on economic data analysis, econometric modeling, or mathematical applications in economics.

Industry Engagement: Queen Mary University of London fosters industry connections through collaborations with businesses and research institutions. Students have opportunities for internships, placements, or involvement in research projects, gaining practical experience in applying quantitative methods in real-world settings.

Global Perspective: The BSc(Econ)(Hons) Economics, Statistics, and Mathematics program adopts a global perspective, enabling students to apply quantitative analysis to understand global economic trends, financial markets, and economic phenomena across various regions.

Pollster Education

Location

London

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 23950

Undergraduate Entry Requirements

Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 80% 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 6.0.
  • TOEFL: A minimum overall score of 92, with at least  21 in Writing, 18 in Reading, 17 in Listening and 20 in Speaking.
  • PTE Academic: A minimum overall score of 71 overall and 65 in Writing, and 59 in Speaking ,Reading, Listening and.
  • 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.

Queen Mary University of London offers a range of scholarships and bursaries to its students. 

Queen Mary Principal's Scholars Program: A scholarship program for undergraduate students who have an offer of admission from Queen Mary University of London and have achieved exceptional academic grades. The scholarship covers full tuition fees for three years of study, as well as a £2,000 annual stipend for living expenses.

Queen Mary International Excellence Scholarships: A scholarship program for international undergraduate and postgraduate students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full tuition fees for one year of study.

Queen Mary Law Scholarships: A scholarship program for undergraduate and postgraduate law students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.

Queen Mary Engineering and Materials Science Scholarships: A scholarship program for undergraduate and postgraduate students studying engineering or materials science who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.

Graduates from Queen Mary University of London's BSc(Econ)(Hons) Economics, Statistics, and Mathematics program possess a unique blend of quantitative, analytical, and economic expertise, offering a wide array of career opportunities across sectors where data analysis, statistical modeling, and economic insights are crucial.

Financial Analyst/Quantitative Analyst: Many graduates pursue careers as financial or quantitative analysts, working in financial institutions, investment banks, or hedge funds, utilizing their quantitative skills for risk assessment, asset valuation, or algorithmic trading.

Data Scientist/Data Analyst: Roles in data science or analysis involve using statistical and mathematical methods to analyze data, build predictive models, and derive insights in industries like technology, healthcare, or marketing.

Economic Consultant/Policy Analyst: Graduates may work as economic consultants or policy analysts, providing quantitative analysis and economic insights to governmental bodies, research institutes, or consultancy firms to shape policies.

Actuarial Analyst/Insurance Risk Manager: Proficiency in statistics and mathematics prepares graduates for roles in actuarial science or risk management within insurance companies, assessing risks, and setting insurance premiums.

Market Research Analyst/Marketing Analyst: Careers in market research or marketing analysis involve utilizing quantitative and statistical skills to analyze consumer behavior, market trends, and assist businesses in strategic decision-making.

Operations Research Analyst/Supply Chain Analyst: Graduates can work in operations research or supply chain analysis, optimizing logistics, improving processes, and making efficiency-driven decisions in various industries.

Statistical Programmer/Software Developer: Roles in statistical programming or software development require proficiency in coding languages, developing statistical software, or creating algorithms for data analysis.

Academic Researcher/Educator: Careers in academia involve conducting research or teaching economics, statistics, or mathematics at universities, contributing to academic knowledge and mentoring future professionals.

Governmental Statistical Officer/Economic Advisor: Proficiency in statistics and economics allows graduates to work in governmental statistical agencies, providing economic advice, or analyzing economic data for policy-making.

Healthcare Analyst/Public Health Data Analyst: Graduates may work in healthcare analysis or public health, applying statistical methods to analyze health-related data, support health policies, or aid in epidemiological research.


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