Mathematics, BSc Hons

Program Overview

This BSc Hons in Mathematics from the University of Greenwich equips students with advanced mathematical knowledge and skills for careers in mathematics-based roles. Through a combination of theoretical and practical training, including coursework, exams, and industry internships, graduates gain a deep understanding of mathematical concepts and their applications in various fields, such as data science, operational research, and finance. Additionally, the program fosters analytical thinking, problem-solving abilities, and communication skills essential for success in the modern workplace.

Program Outline

Mathematics, BSc Hons - University of Greenwich

Degree Overview:

This mathematics degree provides students with advanced mathematical methods and techniques necessary for success in mathematics-based roles. The curriculum also includes training in mathematical software, fostering an understanding of the strengths and limitations of computer tools. Students interested in becoming mathematics teachers can gain classroom experience through the Undergraduate Ambassadors Scheme.

Outline:

Full-time:

• Year 1:
• Vectors and Matrices (15 credits)
• Mathematical Coding (15 credits)
• Calculus and Mathematical Analysis (30 credits)
• Discrete Mathematics (15 credits)
• Analysis of Data (15 credits)
• Probability and Randomness (15 credits)
• Year 2:
• Linear Algebra and Differential Equations (30 credits)
• Numerical Mathematics (15 credits)
• Operational Research: Linear Programming (15 credits)
• Simulation and Modelling (15 credits)
• Vector Calculus (15 credits)
• Statistical Data Analysis and Time Series (30 credits)
• Year 3:
• Compulsory:
• Choose 1 module from:
• Research Methods and Mathematics Project (30 credits)
• UAS: Mathematics Education and Communication (30 credits)
• Mathematics Work Placement (30 credits)
• Optional:
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Optional:
• Choose 60 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Modelling and Analysis of Financial Instruments (15 credits)
• Financial Time Series (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Linear Models and Statistical Inference (15 credits)

Part-time:

• Year 1:
• Mathematical Coding (15 credits)
• Calculus and Mathematical Analysis (30 credits)
• Year 2:
• Vectors and Matrices (15 credits)
• Discrete Mathematics (15 credits)
• Analysis of Data (15 credits)
• Probability and Randomness (15 credits)
• Year 3:
• Operational Research: Linear Programming (15 credits)
• Simulation and Modelling (15 credits)
• Statistical Data Analysis and Time Series (30 credits)
• Year 4:
• Linear Algebra and Differential Equations (30 credits)
• Numerical Mathematics (15 credits)
• Vector Calculus (15 credits)
• Year 5:
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Modelling and Analysis of Financial Instruments (15 credits)
• Financial Time Series (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Linear Models and Statistical Inference (15 credits)
• Year 6:
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Modelling and Analysis of Financial Instruments (15 credits)
• Financial Time Series (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Linear Models and Statistical Inference (15 credits)
• Choose 30 credits from:
• Research Methods and Mathematics Project (30 credits)
• UAS: Mathematics Education and Communication (30 credits)
• Mathematics Work Placement (30 credits)

Sandwich:

• Year 1:
• Vectors and Matrices (15 credits)
• Mathematical Coding (15 credits)
• Calculus and Mathematical Analysis (30 credits)
• Discrete Mathematics (15 credits)
• Analysis of Data (15 credits)
• Probability and Randomness (15 credits)
• Year 2:
• Linear Algebra and Differential Equations (30 credits)
• Numerical Mathematics (15 credits)
• Operational Research: Linear Programming (15 credits)
• Simulation and Modelling (15 credits)
• Vector Calculus (15 credits)
• Statistical Data Analysis and Time Series (30 credits)
• Year 3:
• Mathematics Sandwich Placement
• Year 4:
• Choose 1 module from:
• Research Methods and Mathematics Project (30 credits)
• UAS: Mathematics Education and Communication (30 credits)
• Mathematics Work Placement (30 credits)
• Choose 30 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Choose 60 credits from:
• Machine Learning (15 credits)
• Actuarial Mathematics and Risk Modelling (15 credits)
• Optimisation Techniques (15 credits)
• Modelling and Analysis of Financial Instruments (15 credits)
• Financial Time Series (15 credits)
• Mathematics for the Life Sciences (15 credits)
• Graph Theory and Applications (15 credits)
• Coding and Cryptography (15 credits)
• Partial Differential Equations (15 credits)
• Bayesian Methods and Their Applications (15 credits)
• Linear Models and Statistical Inference (15 credits)

Assessment:

The program utilizes a combination of assessment methods, including:

• Coursework: Assignments, projects, presentations, and reports.
• Exams: Written examinations at the end of each term or year.
• Practical Assessments: Demonstrations of skills and knowledge in practical settings.

Teaching:

• Lectures: Large group sessions covering core concepts and theories.
• Seminars and Workshops: Smaller group discussions and activities to deepen understanding and develop critical thinking skills.
• Tutorials: Individual or small group sessions with instructors to address specific questions and provide personalized support.
• Independent Study: Students are expected to dedicate time to self-study, including reading, research, and preparation for assessments.

Faculty:

• The program is taught by a team of experienced academics and practitioners with industry insights.
• Postgraduate researchers may contribute to lab/tutorial teaching under the supervision of module leaders.
• Over 90% of lecturers teaching undergraduate modules in Mathematical Sciences hold a teaching qualification.

Careers:

• Graduates from the Mathematics program are well-prepared for a variety of careers in fields such as:
• Data Science
• Statistical Modelling
• Operational Research
• Research
• Internet Technology
• Pharmaceutical Industry
• Accounting
• Banking
• Civil Service
• Teaching
• Logistics
• Consultancy
• Actuarial Science
• Risk Management
• Marketing
• The program offers opportunities for sandwich placements, providing students with practical experience in industry.
• The Employability and Careers Service provides support for students in preparing for placements and graduate roles, including CV clinics, mock interviews, and employability skills workshops.

Other:

• The program is accredited by the Institute of Mathematics & its Applications.
• Students can access academic skills and study support through their tutors, subject librarians, and the online academic skills center.
• The University provides training in IT packages relevant to specific modules.

Home (UK students and EU students with settled or pre-settled status):

£9,250 per year

International:

£17,000 per year