BSc (Hons)
Mathematics and Data Science
Degree Programme

Core courses

• MATH 4102 Mathematics of Argument & Reasoning

  This course presents the mathematics of arguments and reasoning by introducing students to concepts in logic and discrete mathematics. It examines the nature of logic, propositional and deductive logic, tautologies and contradictions, algebra of sets, relations, Boolean func-tions, and graph theory. The topics covered will include propositional calculus, methods of deduction, and quantification theory, leading to an introduction to first order logic, proof by induction and recursive relations. Valid and invalid argument forms and their tests will be performed. Matrix algebra and determinants and their applications in solving systems of equations will be covered.

• MATH 4103 Calculus with Applications

  This course provides a sound understanding of the concepts of calculus and their applica-tions to business courses, data science and scientific courses. There will be an emphasis on the rigorous approach to the concept of limits as a key pillar of many concepts of calculus. Theory and applications of calculus with numerous examples will be explained to students depending on specific majors. Topics to be covered will include co-ordinate geometry of straight lines, quadratic curves, exponential and logarithmic functions; elementary differen-tiation and integration of real-valued functions, exponential and logarithmic functions, and trigonometric functions. Applications of calculus concepts to maxima, minima, and optimi-zation problems. Calculus of several variables to include partial derivatives and optimizing functions of two variables, and constrained optimization and method of Lagrange Multipli-ers. Double integrals and applications. Modelling with first-order ordinary differential equa-tions.

• COMP 4101 Introduction to Programming

  This course provides the fundamentals of object-oriented programming. This will include usage of variables, objects, classes; assignment and control through statements, loops, functions, pro-cedures, interaction between objects and inheritance. This course may introduce any current specialists programming topics, eg. programming for mobile applications.

• LIBA 4301 Academic Research and Writing (Complete L4 Academic Literacies required course)

  This course is designed to develop students’ critical research and writing skills to be effec-tive in the academic and professional world. It focuses on principles of good scholarship and academic practice that will be required throughout university study and in a future profes-sional work environment. These skills are enhanced throughout the course. Upon comple-tion of this course, successful students will become confident in using available resources to produce well-researched writing that demonstrates critical engagement with a self-selected research topic.

• MATH 4101 Probability and Statistics (Complete L4 Data/Numeracy required course)

  This course in probability and statistics includes theoretical and applied approaches which are primarily designed for business, data science, social science and psychology majors. The course coverage will include: descriptive statistics, elementary probability theory, random variables and expectations, discrete probability distributions (Binomial and Poisson distribu-tions), continuous probability distribution (Normal distribution), sampling distributions, es-timation and hypothesis testing about the mean and proportions of up to two populations, Chi-square tests, One-way ANOVA and F Distribution, linear, multiple and non-linear re-gression and Non-parametric methods. SPSS lab sessions will be included targeting appli-cations of statistical concepts to business, data science, social science and psychology. All practical work will be produced using SPSS statistical software.

Choose one L4 Arts/Humanities course from the following:

• COMM 4103 Introduction to Intercultural Communication

  Reflecting strongly the University’s mission of unity in diversity, this course provides theo-retical and practical understanding of the role communication plays within and between cultures to build cohesion and/or create division. It provides students with a strong sense of their own complex cultural identities before moving on to teach them the theories underly-ing the study of International Communication. There will be opportunities for practical ap-plications of these theories in case studies, simulations, and project work.

• ADPR 4101 Introduction to Advertising, PR and Media

  This course explores fundamental concepts, principles and tools in advertising and public relations, specifically in relation to the broader media industries and the professional con-texts of both disciplines. It traces the history and evolution of advertising and public rela-tions and how they interconnect, as well as investigating the political, economic, social and cultural contexts that they operate within. In examining advertising and PR in practice, it identifies key persuasive and creative aspects and techniques used in these fields, along with the planning and skills used to produce them. It also addresses advertising and PR practices in relation to contemporary issues and developments, including criticisms of the industries’ role and a range of ethical debates.

• ARTS 4101 History of Arts and Visual Cultures

  Throughout history and across cultures, humans have always translated and projected their own natural, social and religious environment into images and artifacts. This course aims to explore the making, display, meaning and impact of images and artifacts within specific cultural and societal settings until the end of the 19th century. This course intends to focus on the analysis of objects, artifacts, images, photography, film, advertising and fashion that still shape our knowledge of the past and, therefore, the present. Students will also explore the differing nature and characteristics of art history and visual culture, learn basic princi-ples of visual analysis and semiotics, and discuss fundamental ideas such as those of Can-on, Tradition, Perceptions and Representations. Learning in the classroom will be integrated through ad-hoc specialist guest lectures and visits to the extensive international collections of London museums, galleries and archives.

• LANG 4101 Korean Language and Culture 1#

  This is an introductory course to Korean language and culture with an emphasis on oral communication in everyday situations and contemporary South Korean culture and society. This course introduces fundamental communication skills including the Korean alphabet and character construction, pronunciation, vocabulary, and essential speech patterns. It also ex-plores contemporary South Korean popular culture with the aim to develop a keen aware-ness and broad understanding of how the Korean culture relates to the language.

Choose one L4 Social/Behavioural Sciences course from the following:

• PSYC 4101 Introduction to Psychology

  This course introduces students to the major areas within the psychology discipline, through current empirical research and theoretical debate. Students discover how psychological re-search is conducted and how research findings can be applied to understanding human behav-iour. Topics include scientific methodology in psychology, and key contemporary areas of re-search, such as biopsychology, brain functioning; sensation and perception; evolutionary theory, development, personality, memory, consciousness, stress, psychological disorders, language, learning and social psychology.

• POLS 4102 Modern Political Thought

  This course provides students with an introduction to modern political thought as it developed in the Western World. It critically examines concepts at the core of political life, including freedom, equality, power, difference, and the state. The origins of political ideologies are dis-covered and explored through the study of major authoritarian, liberal, radical and conservative political thinkers from the C15th onwards, such as Machiavelli, Hobbes, Locke, Rousseau, Burke, Wollstonecraft, Marx, J.S. Mill, and Nietzsche.

• ECON 4101 Introduction to Economics and Finance

  This module provides students with an introduction to various economic and financial con-cepts, demonstrating how these can be applied to better comprehend the world around them. It enhances students' understanding of the external factors that influence businesses, as well as financial aspects that are significant within a business context. It starts with an understanding of economic thought and development, and it expands on modern economic and financial issues the firms face. It is a solid foundation course for the basic ideas and applications of economics and finance.

Choose one L4 Science course from the following:

• ENVR 4103 Introduction to Environmental Science

  This course covers environmental science topics such as global warming/climate change, ozone depletion, acid rain, pollution, population issues, energy issues, land and water issues, and an introduction to environmental ethics. All topics are addressed from scientific, economic, polit-ico-sociological and ethical standpoints. An awareness and appreciation of global, local, and personal environmental problems are developed, together with the implications of possible solutions. The concept of interrelatedness is a unifying theme throughout the course. Students are encouraged to become aware of/develop an understanding of their own environmental identity.

• ENVR 4102 Ecology and Conservation

  This course provides an examination of the principles of ecology and their application to con-servation. Students will explore the complex relationships between organisms and their envi-ronments, including population dynamics, species interactions, ecosystems, biodiversity, and natural/anthropogenic causes of species’ decline and extinction. The course covers key topics such as habitat destruction, climate change, invasive species, and conservation strategies at lo-cal, regional, and global scales. Special emphasis is placed on understanding and addressing the threats to biodiversity and developing practical solutions for conservation. Through case studies students will gain the skills necessary to critically evaluate conservation challenges and design effective conservation strategies.

• ENVR 4101 Earth Systems Science

  This course introduces the major concepts studied in Earth System Science, addressing the Earth’s origins and evolution as an active planet within the solar system. The fundamental pro-cesses and interrelationships between the atmosphere, oceans, biosphere and lithosphere are investigated to serve as a basis for understanding natural systems, particularly near or at the Earth’s surface, and the ways in which human activities impact those systems. There is mounting concern about global warming, biodiversity, energy and sustainable development, all of which if not governed poses a threat to the delicate balance of the Earth system. Thus the need to un-derstand the Earth as an interrelated system is more so than ever before.

Core courses

• MATH 5104 Linear Algebra and Multivariable Calculus

  The course provides a detailed study of set theory, systems of linear equations, theory of vectors and vector spaces, algebra of matrices, determinants and characteristic polynomi-als, mappings and linear transformations, canonical forms and invariance, eigenvectors and eigenvalues. LU-matrix factorization, matrix diagonalization and orthogonality, least square method, and inner-product spaces and applications. Multivariable calculus to include solu-tions of systems of linear ordinary differential equations (ODE) using matrix method. These concepts are useful as they form a basis of a deeper understanding of advanced mathemat-ics and have wide applications in physical and social sciences. Applications to specific ma-jors will be explored.

• DATA 5102 Data Analysis and Visualisation

  This course aims to equip students with a comprehensive understanding of fundamental concepts in data analysis and visualization with an exploration of big data. The primary fo-cus will be on utilizing Tableau as a powerful tool for data visualization while also introduc-ing students to Python and R for data processing and analysis. Through hands-on practice and theoretical learning, students will develop the skills necessary to analyse and visualize data effectively. Additionally, the module will delve into the complexities of big data, providing insights into its management, processing, and the challenges associated with its analysis. By the end of this module, students will have a strong understanding of using Tab-leau for visual representation and gain introductory knowledge of Python's and R capabili-ties in handling and analysing data based on descriptive, diagnostic, predictive and prescrip-tive analytics, which will enable learners to create meaningful insights from diverse da-tasets.

• DATA 5103 Database Systems

  This course explores incorporating data into web development. This course covers data model-ling, data representation, along with practical components of data protection and security using industry standard query platforms such as SQL and No SQL DBMS. Students will be able apply these server-side programming skills as a response to professional briefs.

• MATH 5103 Game Theory and Decision Methods

  This course introduces game theory and covers the core principles of game theory and its role in the process of strategic decision-making methods in business, economics, and social sciences. The use of game algebra and the analysis of the structure of various types of practical decision problems as applied especially to business environments will be emphasized. The areas to be studied will include strategic decision making under uncertainty for both non-probabilistic and probabilistic scenarios, risk analysis, Bayes’ Theorem, decision trees, systems of linear equations and basic matrix methods, linear programming, Markov Processes, game strategies, game trees, the Nash equilibrium, and classification of games as sequential-move games and simultaneous-move games to include mixed strategy games, the prisoner’s dilemma, zero-sum and two-persons games, and hawk-dove games. Detailed applications to specific strategic situations such as in bargaining, bidding and market competition will be explored.

• COMP 5301 Research Methods in Data Science (Complete L5 Research Methods required course)

  Introduces students to key Data Science research methodologies and research practices. Students will learn skills, including using data science for computing, science and applied mathematics, that translate directly into a board range of careers. This course also pre-pares students for their Senior Project by undertaking data science gathering, analysis and visualisation. Students are prepared to plan their Senior projects using suitable methodolo-gies such as systems analysis and design and agile approaches. Students will also carry out an introduction to range of humanities methods (including tex-tual analysis, interviews, surveys, focus groups, and ethnography) and students are intro-duced to widely used and newer modes of and approaches to research, including creative methods and participatory/reflexive approaches.

Choose one L5 Service-Learning course from the following:

• LIBA 5301 Service Learning: Global Citizenship and Migration

  This course helps students make a real difference in the world. Service Learning as experiential learning combines community service with academic study. This course will apply service-learning to the theoretical, political and sociological conceptions of citizenship and their limitations. Students will work on live projects and challenges to ad-dress real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.

• LIBA 5302 Service Learning: Leadership in a Globalised World

  This course helps students make a real difference in the world. Service learning as experiential learning combines community service with academic study. This course will apply service learning to global challenges and how to be a leader that creates positive change. Students will work on live projects and challenges to address real-world issues. Students will learn how to lead and work with diverse teams to make a positive impact. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.

• LIBA 5303 Service Learning: Sustainability and Society

  This course helps students make a real difference in the world. Service learning as experiential learning combines community service with academic study. This course will apply service learning to the theoretical, political and sociological conceptions of citizenship and their limitations. Students will work on live projects and challenges to ad-dress real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepreneurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.

• LIBA 5304 Service Learning: Digital Collaboration

  This course helps students make a real difference in the world. Service-Learning as experiential learning combines community service with academic study. This course will apply service-learning to the production of digital work engaging with organiza-tions and communities outside of the university. It equips students to identify the ranges of opportunities for innovation and employment that digital skills offer. Students will work on live projects and challenges to address real-world issues and critically reflect on their role as agents in communities and as legal and social citizens. Skills will be gained from working on a project with charities, NGOs, or non-profit organisations on citizenship concepts which will enable the student to critically reflect through service-learning. This course builds professional, entrepre-neurial and personal skills to engage with a variety of stakeholders. This course is underpinned by JEDI approaches to justice, equality, diversity and inclusion across the global community.

Plus two Level 5 electives from across the curriculum. These can be selected to support a minor in an area outside of your subject discipline.

Core courses

• MATH 6102 Machine Learning and Predictive Analytics

  This course provides an in-depth understanding of Machine Learning (ML) and Predictive Analytics, focusing on algorithms, methodologies, and applications. Students will explore fundamental ML models, from supervised and unsupervised learning to more advanced top-ics such as deep learning and ensemble methods. The course emphasizes both theoretical understanding and practical implementation using real-world datasets. Students will be taught to use ML to build predictive models, evaluate their performance, and apply them to solve complex problems in various fields, including finance, healthcare, and technology.

• MATH 6101 Advanced Computational Methods in Data Science

  This course provides a deep dive into advanced computational techniques used in data sci-ence. It is designed to equip students with a solid foundation in the computational methods necessary for processing and analysing large-scale datasets. Students will learn about high-performance computing, optimization algorithms, advanced numerical methods, and spe-cialized techniques for data analysis, visualization, and interpretation. Emphasis will be placed on both theoretical understanding and practical implementation of computational algorithms, including parallel computing, optimization strategies, and their applications in big data analytics and complex problem-solving.

• MATH 6103 Time Series Analysis and Forecasting

  This course introduces students to the fundamentals and advanced techniques of time se-ries analysis and forecasting. Students will learn how to model, analyze, and forecast time-dependent data using both statistical and machine learning approaches. The course will cover classical time series models such as ARIMA, exponential smoothing, and state-space models, as well as more advanced techniques including neural networks and Long Short-Term Memory (LSTM) models. The emphasis will be on practical applications in various fields, including finance, economics, and environmental sciences, using real-world datasets and computational tools like Python and R.

• COMP 6110 Senior Project

  This course is a student identified project. It provides the setting for students to conceptual-ise, research, and propose a written brief that includes the identification and the estab-lishment of an appropriate methodology. The instructor will facilitate the process through regularly scheduled class meetings. The research will be an opportunity to independently plan and execute a project via a litera-ture review, project management and execution and the project will need to follow a methodology explored in Data Science Research Methods in Computing.

Plus EITHER:

• MATH 6401 Internship

  The Internship Math & Data Science is a student work placement for credit that aims to provide students with the experience of working within the Math & Data Science industry in London. Students will develop the intellectual, professional, and personal skills that will enable them to function well in a culturally diverse working environment. All internships are supervised by fac-ulty and last at least 6 weeks and are typically done full time Monday to Thursday/Friday. Each student will also complete a series of assessments throughout the internship, such as keeping a written journal of their experience, preparing an internship portfolio, and delivering a final presentation. These assessments have been designed to help the student reflect on the skills they are learning and the benefits gained from the internship experience, and also to help them determine if their current career goals are the correct fit for them. During the internship, the staff of the Internship Office and a faculty supervisor work closely with each student to ensure that the placement is a successful one. Students’ final grades are based on several factors including, written assignments, presentation, and a report from their workplace supervisor which is taken into consideration.

Or TWO of the following Major Options:

• SENG 6102 Generative Artificial Intelligence

  This course offers a progressive approach to generative AI (Gen AI), starting with essential machine learning and deep learning principles before delving into advanced generative models like GANs and transformer-based architectures. Students will build skills in model design, implementation, and evaluation, equipping them for applications such as image synthesis, language generation, and more. The course utilises Python and libraries like PyTorch and TensorFlow.

• SENG 6103 Mobile App Development

  Enterprises regularly use mobile applications for focused activities that exploit features of smart phones. This course introduces how mobile applications can be designed and devel-oped for different operating systems using different OS development frameworks.

• COMP 6103 Web Application Development

  This course focuses on developing modern web applications using a popular web frame-work and a lightweight database engine. Students will learn the fundamental concepts of back-end web development, including model-view-controller (MVC) design patterns, data-base modelling, URL routing, form handling, and user authentication. Additionally, students will gain hands-on experience with a lightweight database solution and the integration of front-end technologies with the back-end framework’s templating system. Emphasis will also be placed on deployment, security, and performance optimization. By the end of the course, students will be able to create, deploy, and maintain scalable web applications.

• COMP 6102 Project Management for IT

  This course provides the core knowledge and skills necessary to start, manage and deliver a project within an IT setting. Students will study topics such as: Project Lifecycle and Meth-odologies; Project Planning and Initiation; IT Risk Management; Resource and Budget Man-agement; Stakeholder Communication; Quality Assurance and Control; Change Manage-ment; Project Monitoring and Evaluation and Ethical and Legal IT Considerations.

• BUSM 6104 Leadership and People Management

  This module provides a critical exploration of leadership in the context of managing people and talent within organizations. Students will develop a deep understanding of contemporary lead-ership theories and their application to the challenges of attracting, developing, motivating, and retaining talent in a rapidly changing world. The module emphasizes the importance of di-versity and inclusion, ethical leadership, and social responsibility in creating a high-performing and sustainable workforce. Through real-life examples, case studies, and interactive discussions, students will gain the knowledge and skills necessary to lead effectively in today's complex and dynamic business environment.

• COMP 6101 Advanced Secure Programming

  This module delves into the advanced principles of secure programming, focusing on identi-fying and addressing programming errors that lead to system vulnerabilities. Students will explore various secure coding techniques and best practices across several programming languages (e.g., C, C++, python). The course emphasizes balancing security with perfor-mance, usability, and other software quality attributes, enabling students to create robust, secure code. Key topics include string security, dynamic memory management, concurrency, and file I/O security, along with mitigation strategies for common vulnerabilities such as buffer overflows and race conditions.

Plus one elective of your choice, which may support a minor.