BSc (Hons) Mathematics

Program Overview

The BSc (Hons) Mathematics at Liverpool John Moores University is a professionally accredited program that equips students with the mathematical and statistical knowledge needed to model, solve, and analyze real-world problems. Emphasizing quantitative methods, software development, and the application of mathematical and statistical tools, the program offers a strong foundation in mathematics and statistics, with opportunities for specialization in areas like financial modeling, operational research, multivariate analysis, and data mining.

Program Outline

Degree Overview:

The BSc (Hons) Mathematics at Liverpool John Moores University is a professionally accredited program designed to equip students with the mathematical and statistical knowledge needed to model, solve, and analyze real-world problems. The program emphasizes quantitative methods, software development, and the application of mathematical and statistical tools. It offers a strong foundation in mathematics and statistics, with opportunities for specialization in areas like financial modeling, operational research, multivariate analysis, and data mining.

Objectives:

• To provide students with a comprehensive understanding of mathematical and statistical concepts and methods.
• To develop students' ability to apply these concepts and methods to solve real-world problems.
• To enhance students' employability by equipping them with practical skills and experience.
• To foster students' critical thinking, problem-solving, and communication skills.

Program Description:

The program focuses on mathematics and statistics, with no prior knowledge of statistics required. It builds a solid foundation in quantitative methods, combined with an understanding of software development and the use of mathematical and statistical applications. In the final year, students can specialize in areas like financial modeling, operational research, multivariate analysis, and data mining. The program emphasizes practical modules at every level, including a paid work placement year to provide students with real-world experience.

Outline:

Level 4:

• Core Modules:
• Introduction to Modelling (20 credits): Introduces mathematical and statistical modeling of real-world problems, including building models.
• Data Exploration and Analysis (20 credits): Covers exploratory data analysis, probability, hypothesis testing, and confidence interval construction.
• Mathematical Methods (20 credits): Provides basic mathematical concepts and methods for solving problems with scientific, business, and statistical applications.
• Linear Algebra (20 credits): Covers solving realistic problems in Linear Algebra using pencil-and-paper techniques and mathematical software.
• Mathematical Computer Programming (20 credits): Develops programming and problem-solving skills for work in mathematics and statistics.
• Fundamentals of Mathematics (20 credits): Familiarizes students with fundamental skills, mathematical techniques, proof concepts, and mathematical writing.

Level 5:

• Core Modules:
• Further Mathematical Methods (20 credits): Builds on mathematical methods and elements of discrete/finite mathematics.
• Statistical Modelling (20 credits): Covers simple and multiple linear regression, Analysis of Variance models, and statistical modeling.
• Numerical Methods (20 credits): Develops understanding of numerical solutions to problems, including error analysis and practical experience with numerical methods and software.
• Probability and Risk (20 credits): Extends probability models and introduces simulation models for risk techniques and decision-making under uncertainty.
• Personal and Professional Development (20 credits): Familiarizes students with the employment market, employer expectations, and develops employability skills.
• Differential Equations (20 credits): Builds on differential equation theory, introduces systems of ordinary differential equations, and covers asymptotic theory.
• Optional Modules:
• Sandwich Year - Mathematics (120 credits): Provides a year of paid work experience at an approved partner, developing professional skills and work-related behaviors.
• Study Year Abroad - Mathematics (120 credits): Offers a year of study at an approved overseas partner, complementing the program at LJMU.

Level 6:

• Core Modules:
• Project (40 credits): Develops independent research skills and communication abilities through tackling a realistic problem.
• Statistics in the Workplace (20 credits): Provides experience with the role of a statistician in industry and the application of statistical methods in manufacturing and business.
• Advanced Calculus and Partial Differential Equations (20 credits): Extends calculus mastery, introduces functions of a complex variable, and provides an introductory course on solving Partial Differential Equations.
• Optional Modules:
• Operational Research (20 credits): Examines operational research methods and their application to real-life problems in business and industry.
• Mathematical Biology (20 credits): Introduces mathematical models of biological systems and techniques for analyzing them.
• Introduction to Data Science (20 credits): Introduces the Data Science field, providing methods and technologies in high demand.
• Multivariate Analysis and Time Series (20 credits): Explores the structure of multidimensional data sets, introduces inferential procedures, and covers time series analysis and forecasting.

Assessment:

Assessment methods vary depending on the module but typically include a combination of exams and coursework. The program aims to use a variety of assessment methods to cater to different learning styles and strengths. Typically, 40% of the mark comes from coursework and 60% from exams, although some modules may be assessed entirely by coursework.

Teaching:

• Teaching Methods: The program adopts an active blended learning approach, combining face-to-face and online learning.
This includes lectures, informal lab sessions, online activities, and small-group tutorials.
• Faculty: The department boasts dedicated staff committed to high standards of teaching and learning.
• Unique Approaches: The program emphasizes practical modules and a paid work placement year to provide students with real-world experience and enhance their employability.

Careers:

The program equips students with the skills and knowledge to pursue careers in various fields, including:

• Marketing Analyst
• Trainee Management Accountant
• Accounts Manager
• Insurance Broker Consultant
• Data Scientist
• Statistician
• Actuary
• Financial Analyst
• Operations Research Analyst
• Teacher

Other:

• The program is accredited by the Institute of Mathematics and its Applications (IMA).
• The program is delivered in the Byrom Street complex of LJMU's City Campus, which includes high-quality lecture theatres, meeting and seminar rooms, social spaces, and a large café.
• The Avril Robarts Library is located minutes away on Tithebarn Street.
• The department has strong links with over 450 local and national organizations, providing opportunities for work placements and career development.
• The program offers support and guidance through dedicated personal tutors, study skills support, and a supervisor for students on work placements.

Home full-time per year:

£9,250

International full-time per year:

£18,250

Placement year:

£1,850

Placement year international:

£3,830 All figures are subject to yearly increases. Tuition fees are subject to parliamentary approval.