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Students
Tuition Fee
GBP 26,350
Per year
Start Date
Medium of studying
Duration
36 months
Program Facts
Program Details
Degree
Bachelors
Major
Mathematics | Statistics
Area of study
Mathematics and Statistics
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 26,350
Intakes
Program start dateApplication deadline
2024-09-01-
About Program

Program Overview


The Mathematics and Statistics BSc (Hons) program at Queen Mary University of London equips students with the skills and knowledge to analyze, interpret, and communicate data in the digital world. Combining pure, discrete, decision, and modern applied mathematics, this program allows students to explore and specialize in exciting areas like computational statistics, actuarial mathematics, and more. Graduates are highly sought-after in various industries, including finance, technology, science, and research.

Program Outline


Degree Overview:


Overview:

The Mathematics and Statistics BSc (Hons) program at Queen Mary University of London equips students with the skills and knowledge needed to analyze, interpret, and communicate data in the ever-evolving digital world. Combining pure, discrete, decision, and modern applied mathematics, this program allows students to explore and specialize in exciting areas like computational statistics, actuarial mathematics, and more.


Objectives:

This program aims to:

  • equip students with a strong foundation in mathematics and statistical analysis,
  • foster critical thinking and problem-solving skills,
  • enable students to apply mathematical and statistical techniques to real-world problems,
  • prepare students for careers in diverse fields where data analysis and interpretation are crucial.

Description:

This program offers a comprehensive curriculum covering both the theoretical foundations and practical applications of mathematics and statistics. Students build a solid understanding of pure and applied mathematics, while delving deeper into specialized areas based on their interests. They gain hands-on experience through practical modules, potential professional placements, and research projects. This program prepares students for successful careers in various industries, including finance, technology, science, and research.


Outline:


Content:

The program covers a broad range of topics in mathematics and statistics, including:

  • Calculus
  • Linear Algebra
  • Probability and Statistics
  • Numerical Analysis
  • Differential Equations
  • Actuarial Science
  • Statistical Modelling
  • Machine Learning
  • Mathematical Finance
  • and more

Structure:

The program can be completed in three or four years.

  • Year 0 (optional): Students who haven't met the entry requirements can opt for a foundation year, focusing on strengthening their knowledge in essential math and science subjects.
  • Years 1 & 2: These years provide a solid foundation in core mathematical and statistical concepts, along with introductory modules in specialized areas.
  • Year 3: Students choose from various elective modules to pursue their areas of interest, potentially participating in a professional placement or studying abroad.
  • Year 4 (optional): In this optional year, students conduct individual research projects and delve deeper into advanced modules.

Course Schedule:

The program typically involves 16 hours of formal teaching per week, including lectures, tutorials, and practical sessions. Additional time is dedicated to independent study and coursework completion.


Individual Modules:

Each module focuses on specific areas within mathematics and statistics. Examples of modules include:

  • Introduction to Algebra: Explores the fundamental concepts of algebra, including groups, rings, and fields.
  • Introduction to Analysis with Calculus: Introduces the basics of calculus and its applications in various contexts.
  • Probability and Statistics: Provides a comprehensive introduction to probability theory and statistical methods.
  • Programming in Python I: Equips students with the essential programming skills using Python, applicable in various mathematical applications.
  • Vectors and Matrices: Introduces linear algebra concepts, including vector spaces, matrices, and linear transformations.
  • Differential Equations: Explores different types of differential equations and methods for solving them.
  • Introduction to Computer Programming: Develops general programming skills applicable across various disciplines.
  • Linear Algebra I: Deepens understanding of linear algebra concepts and their applications in various fields.
  • Probability and Statistics II: Builds upon the foundation of probability and statistics with more advanced concepts and methods.
  • Statistical Modelling I: Introduces the fundamentals of statistical modelling and its application in analyzing real-world data.
  • Actuarial Mathematics I: Explores the concepts and techniques used in actuarial science for risk assessment and financial analysis.
  • Complex Variables: Examines the theory of complex numbers and functions, with applications in various areas like fluid dynamics and engineering.
  • Convergence and Continuity: Focuses on the mathematical concepts of convergence and continuity in different contexts.
  • Differential and Integral Analysis: Deepens understanding of differentiation and integration techniques and their applications.
  • Introduction to Differential Geometry: Provides an introduction to the geometry of curves and surfaces.
  • Linear Programming and Games: Applies mathematical techniques to solve linear programming problems and analyze strategic games.
  • Number Theory: Explores the fascinating world of numbers, their properties, and relationships.
  • Bayesian Statistical Methods: Introduces Bayesian methods for statistical inference and model building.
  • Statistical Modelling II: Builds upon Statistical Modelling I, focusing on advanced modelling techniques and their applications.
  • Communicating and Teaching Mathematics: Develops skills for effectively communicating and teaching mathematical concepts to various audiences.
  • Complex Networks: Examines the structure and dynamics of complex networks, applicable in various fields like social science and computer science.
  • Financial Mathematics I: Introduces the fundamental concepts and tools used in financial mathematics.
  • Financial Mathematics II: Builds upon Financial Mathematics I, exploring more advanced financial models and applications.
  • Introduction to Machine Learning : Provides an introduction to the principles and techniques of machine learning.
  • Mathematical Tools for Asset Management: Equips students with mathematical tools for analyzing and managing financial assets.
  • Numerical Computing with C and C++: Develops advanced programming skills using C and C++ for numerical computation and solving problems in various scientific domains.
  • Partial Differential Equations: Introduces the theory and methods for solving partial differential equations, applicable in various areas like physics and engineering.
  • Random Processes: Explores the theory and applications of random processes, useful for modelling phenomena with randomness or uncertainty.
  • Third Year Project: Students conduct independent research projects under the guidance of faculty experts, deepening their understanding in a specific area of interest.
  • Time Series: Introduces the analysis of time series data, used in various fields like finance and economics.

Assessment:

  • Most modules are assessed through a combination of written examinations (typically accounting for 90% of the final grade) and coursework assignments/tests (accounting for the remaining 10%).
  • Some BSc students complete a final-year research project, which also contributes to their overall assessment.
  • Assessment methods vary depending on the specific module and its learning objectives.
  • Examples include problem-solving assignments, presentations, essays, and laboratory reports.

Teaching:

  • Teaching and Learning: The program utilizes various teaching methods including lectures, tutorials, and practical exercise classes.
  • In exercise classes, students work together on problems, discuss ideas, and ask questions, fostering collaborative learning and deeper understanding.
  • Formal Teaching Time: Typically, there are 16 hours of formal teaching per week, supplemented by additional hours dedicated to independent study and coursework completion.
  • Faculty: The program is taught by experienced and passionate faculty members with expertise in various areas of mathematics and statistics.
  • The faculty is actively involved in research, ensuring students are exposed to cutting-edge knowledge and advancements in the field.
  • Unique Approaches: The program emphasizes active learning through problem-solving and collaborative activities in tutorials and practical sessions.
  • Additionally, students have the opportunity to apply their knowledge in real-world contexts through potential professional placements or research projects.

Careers:

  • Graduates of this program are equipped with highly sought-after skills, making them competitive for a wide range of career paths.
  • Many graduates pursue careers in finance, accounting, actuarial science, management consulting, marketing, engineering, teaching, and the public sector.
  • Recent graduates have secured positions at prominent organizations like Accenture, Bank of England, BNP Paribas, Deloitte, PWC, Civil Service, Direct Line, Dyson, FCA, Goldman Sachs, KPMG, Lloyds Banking Group, Natwest Markets, J.P Morgan, Royal Bank of Canada, and Santander.

Other:

  • The program website includes testimonials from current and former students, highlighting their positive experiences and how the program has prepared them for their chosen careers.
  • The School of Mathematical Sciences organizes social events, residential trips, talks, and career events, fostering a vibrant learning community and enriching student experience.
  • Queen Mary University offers a generous scholarship and bursary package, benefiting approximately 50% of its undergraduate students.
  • The dedicated careers consultant and internship coordinator work closely with students to develop their employability skills and career prospects.

Home fees:

£9,250


Overseas fees:

£26,350

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About University
Masters
Bachelors
Diploma
Foundation
Courses

Queen Mary University of London


Overview:

Queen Mary University of London is a public research university located in London, England. It is a member of the prestigious Russell Group of leading UK universities. Queen Mary is known for its strong research output, particularly in the fields of medicine, science, and humanities.


Services Offered:

Queen Mary offers a wide range of services to its students, including:

    Accommodation:

    Affordable accommodation options on or near the university's campuses in Mile End, Whitechapel, and Charterhouse Square.

    Careers and Enterprise:

    Support for students in their career development, including job search assistance, internships, and networking opportunities.

    Library:

    Extensive library resources, including books, journals, databases, and online resources.

    Student Life:

    A vibrant student life with numerous clubs, societies, and events.

    International Student Support:

    Dedicated support for international students, including visa advice, immigration guidance, and cultural integration programs.

Student Life and Campus Experience:

Queen Mary provides a welcoming and inclusive environment for students from over 160 countries. Students can expect:

    Global Community:

    A diverse and international student body, fostering a rich cultural exchange.

    Campus Life:

    A safe and secure campus environment with a range of facilities, including sports centers, cafes, and student spaces.

    London Advantage:

    The opportunity to study in one of the world's most exciting and dynamic cities.

Key Reasons to Study There:

    Research Excellence:

    Queen Mary is ranked highly for its research quality, offering students access to cutting-edge research and opportunities to work alongside leading academics.

    Diverse Academic Programs:

    A wide range of undergraduate and postgraduate programs across various disciplines, including medicine, science, engineering, humanities, and social sciences.

    Global Reputation:

    Queen Mary's strong reputation as a leading university attracts students and employers worldwide.

    London Location:

    The university's location in London provides students with access to world-class cultural attractions, museums, theaters, and employment opportunities.

Academic Programs:

Queen Mary offers a comprehensive range of academic programs, including:

    Undergraduate Programs:

    A wide variety of undergraduate degrees across various disciplines.

    Postgraduate Programs:

    Taught and research postgraduate programs, including Master's degrees and PhDs.

    Online Programs:

    Flexible online learning options for students who prefer distance learning.

Other:

  • Queen Mary is committed to sustainability and has implemented various initiatives to reduce its environmental impact.
  • The university has a strong focus on equality, diversity, and inclusion, creating a welcoming and supportive environment for all students.
  • Queen Mary has a rich history and is associated with several notable alumni, including Nobel laureates and prominent figures in various fields.

Total programs
603
Average ranking globally
#138
Average ranking in the country
#16
Admission Requirements

Entry Requirements:


A-Level:

  • Mathematics and Statistics (BSc (Hons)): Grades ABB at A-Level.
  • This must include grade A or above in A-Level Mathematics. Excludes General Studies.
  • Mathematics with Foundation (BSc (Hons)): Grades BBC at A-Level.
  • This must include A-Level Mathematics.

International Baccalaureate:

  • Mathematics and Statistics (BSc (Hons)): International Baccalaureate Diploma with a minimum of 32 points overall, including 6,5,5 from three Higher Level subjects.
  • This must include Mathematics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and Approaches at Higher Level.
  • Mathematics with Foundation (BSc (Hons)): International Baccalaureate Diploma with a minimum of 28 points overall, including 5,4,4 from three Higher Level subjects.
  • This must include Mathematics at Higher Level. We will consider either Mathematics: Applications and Interpretation or Mathematics: Analysis and Approaches at Higher Level.

BTEC:

  • See their detailed subject and grade requirements.

Access HE:

  • Mathematics and Statistics (BSc (Hons)): We consider applications from students with the Access to Higher Education Diploma in a Physics or Mathematics-based discipline.
  • The minimum academic requirement is to achieve 60 credits overall, with 45 credits at Level 3, of which 30 credits must be at Distinction and 15 credits at Merit or higher. Applications are considered on a case-by-case basis.

GCSE:

  • Minimum five GCSE passes including English at grade C or 4.

Contextualised Admissions:

  • Mathematics and Statistics (BSc (Hons))
  • Standard contextual offer: Grades BBC including B in Maths at A-Level.
  • Excludes General Studies, Critical Thinking.
  • Enhanced contextual offer (for care experienced students, refugee/asylum seekers or students who have completed Realising Opportunities or Access to Queen Mary): Grades BCC including B in Maths at A-Level.
  • Excludes General Studies, Critical Thinking.
  • Mathematics with Foundation (BSc (Hons))
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