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Bachelor of Science (with Honours) - BSc (Hons)
Greenwich Campus
Full Time
Sep 2026
3 Year
Our statistics and data analytics degree provides the knowledge and skills to master the statistical modelling techniques used by professional statisticians and data analytics specialists.Our mathematics courses are highly regarded, we are ranked 3rd in the UK in Mathematics for Student Satisfaction (Complete University Guide, 2022). Also, we are ranked 3rd in London overall, 1st for student satisfaction with the course, and also with feedback, and 2nd for student satisfaction with teaching (Guardian league table, 2022).On this degree you will learn methods for data collection, analysis, interpretation, statistical estimation, statistical modelling and simulation. If you are an aspiring mathematics teacher, our Undergraduate Ambassadors Scheme will enable you to gain classroom experience.Career options for our graduates include market research, business analysis, forecasting and teaching. The course is accredited by the Institute of Mathematics and its Applications, the UK's chartered professional body for mathematicians.
The aim of this module is to give students a solid grounding in key data mining and statistical techniques required to analyse data effectively. This module will equip students with vital quantitative skills of data analysis which are highly sought-after by employers today.
This module aims to extend students? calculus knowledge from previous studies. The main aims of the module are: ? to build on pre-university calculus and extend students? grasp of fundamental mathematical techniques; ? to use rigorous techniques in mathematical analysis that will be further developed at Level 5
This course will consolidate A-level material and introduce students to the role of algorithms in mathematics. Students will meet the idea of computational complexity and throughout the course will develop their problem-solving and research skills.
This course will equip students with some of the vital quantitative skills of mathematical programming, data analysis, and numerical techniques which are highly sought-after by employers today, through the use of modern software packages.
This course will introduce the concept of randomness in a mathematical framework providing the students with the fundamental principles of statistical thinking. Students will develop an understanding of the key concepts of probability theory, distributions and mathematical statistics.
This module aims to introduce students to fundamental ideas and techniques in Linear Algebra. The primary objects concerned are vectors and matrices, and the module aims to make students proficient in performing operations involving these objects, which play central roles in higher level mathematics.
To develop and extend the mathematical theory of linear algebra and ordinary differential equations beyond Level 4 and investigate their applications.
This course provides the student with fundamental knowledge in topics of numerical mathematics, in-depth understanding of foundation concepts in programming, and experience in the design of computer programs implementing numerical algorithms.
This course provides the student with fundamental knowledge in topics of numerical mathematics, in-depth understanding of foundation concepts in programming, and experience in the design of computer programs implementing numerical algorithms.
To introduce models of Operational Research and give students knowledge of both analytical and software-based simulation techniques. Students will be encouraged to think independently, logically and creatively, and apply these skills to new areas of investigation
This course enables students to develop a knowledge and understanding of various techniques of data analysis and to acquire the skills required to carry out and implement analyses using modern statistical software, with the emphasis on the understanding, interpretation and communication of results.
This module introduces concepts of vector calculus and its applications, especially fluid dynamics and electromagnetism, in science and engineering. It consists of two parts. In the first part of the module, you will learn about the mathematical theory and techniques of vector calculus. You will become competent in using vector calculus in both differential and integral forms. The second part of the module gives an introduction to fluid dynamics and electromagnetism.
Placement Year
This course presents the area of mathematics known as "Financial Econometrics" for students on degree programmes in mathematics.
Linear modelling is mainly about finding appropriate statistical models to analyse the dependence between a response variable and covariates and describe important features of data. A sound understanding of the principles underlying the major statistical methods is an important aid in applying those methods successfully. This module aims to provide students with an opportunity to further develop their knowledge of parametric inference and to learn about general linear models and their application.
To provide advanced knowledge in the theory of non-linear programming and solution methods for mathematical optimisation problems.
104 Grades/points required
Not currently available, please Contact University for up to date information.
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