University of Southampton (UoS) is a research led British University in which teaching and learning take place in an active research environment. The University of Southampton is committed to the advancement of knowledge through critical and independent scholarship and research of international significance; the communication of knowledge in an active learning environment involving staff at the forefront of their disciplines; and the application of knowledge for the benefit of society, both directly and by collaboration with other organizations. Southampton is situated on the South Coast of the United Kingdom and is approximately an hour and fifteen minutes by train outside of London.
Academic: GPA of 3.0 or above on their studies to date
English Language:
– IELTS: 6,5 (no subscores below 6.0)
– TOEFL iBT: 92 (reading scores minimum 22, writing scores minimum 21, listening scores minimum 21, speaking scores minimum 23)
-Duolingo English Test: 125 (minimum score of literacy 105, production 85, comprehension 110, conversation 95)
Never had TB/TBC infection
30 September 2024 – 25 January 2025
Available Courses
Business analytics is closely related to management science and operational research. It refers to the use of statistical methods and models as well as empirical data to support the process of making business decisions. This module provides general knowledge about business analytics, illustrated with case studies and examples from various industries. In order to use the above mentioned methods and models effectively, one needs to understand the underlying probability theory and statistics. Thus, the module also provides a basic knowledge of statistics and probability. It introduces such concepts as random variables and probability distributions, and it covers the basics of statistical analysis and inference.
The course seeks to provide an introductory, but comprehensive overview of financial accounting, management accounting, and financial management to non-specialist students. The course is delivered with particular emphasis on helping students of management to develop the ability and skills in critically evaluating and appreciating the importance of the accounting and finance function within organisations in connection with decision making, control and corporate performance management. As an introductory course, students do not need to have prior knowledge in accounting and/or finance.
The module introduces you to the basic concepts of marketing and explains its function in today’s business environment. You will discuss principal theory and practice of marketing and how marketing builds value to the firm and the customer with examples and assessment work.
The outcomes from the module is to provide students with a grounding of the role and importance of marketing and provide basic skills enabling the student to analyse and consider marketing problems and opportunities.
To develop your understanding, this module poses questions such as: What is the Digital Society? Will the Digital Society offer more transparency, participation and innovation? What does the Digital Society mean for education and learners? You will have opportunities to consider the notion of Digital Learning and reflect on the use of digital tools to support learning. In addition, you will identify gaps in your digital capabilities and develop a strategy to make improvements.
This module will provide you with a comprehensive overview of key issues and debates in contemporary education. Through studying this module, you will be introduced to some of the main approaches and concepts for understanding key contemporary education issues and debates. You will explore a range of topical and policy-related themes and you will become familiar with how such issues develop over time.
Contract is important in a number of different ways. Firstly, it is a building-block module on which other subjects will depend in later years of the degree. Contract law also exemplifies principles of law and techniques of analysis which go to the heart of any legal system. The existence and application of the law of contract have far-reaching effects on social relations and economic practice, whether the perspective is that of a large commercial company or of a consumer. Last but not least, the law of contract affects our daily lives and conditions the way in which business is conducted.
This module aims to provide you with a thorough understanding of the principles of the law of contract and with a rigorous training in the analysis and practical application of those principles. At the same time the module aims to develop critical understanding of the underlying issues such as the need for policy considerations, the endeavours to balance different groups of contract parties, the limits of the rule of precedents and the question of judicial activism.
Legal System and Reasoning is a predominantly skills-based introduction to studying the legal system of England and Wales, its institutions and practices, in the context of a more general understanding of law, legal theory and legal reasoning. It is designed to provide you with knowledge, understanding and skills that are foundational to your whole degree.
This module will familiarise students with some fundamental insights and principles in economics through participating, analysing and discussing experiments and it will introduce students to experimental methods as used in economics. This is done by using the modern tool of economic experiments in order to explore and illustrate central topics in economics.
The content of the module will be determined by student choice of 3 topics from a menu of options specifying particular political challenges. Examples include: Social media and ‘fake’ news, Populism, Independence movements, War and political violence, Digital governance and the rise of algorithmic society, Refugee Crises/Violent Borders, Climate Change, World Poverty, AI, Robots, and the future of work.
The module aims to introduce students to the broad topic of globalisation. As a team-taught module, specific topics may change with occasional changes to the teaching team. At the time of writing, specific topics include: trade and the global economy (e.g. international trade, classical trade theory, comparative advantage, new trade theory, the new economic geography, and uneven development); firms and workers in the global economy (e.g. talent and jobs, global production chains, knowledge and the creative industries); and cultures of globalisation (e.g. self-identity, non-places, global cities, the nation/state).
The analysis of social problems is a key area of sociological and criminological investigation. However, not all problems experienced by individuals are recognised as social problems by society and not all publicly recognised social problems are also discussed by policy-makers. Why do some issues come to be regarded as social problems ? Is this always because there is clear evidence the issues are socially harmful? What else affects this process? And why are only some of these issues taken up by policy makers? Are the public policy responses to the identified problems always appropriate? This course seeks to address these questions by exploring both theoretical and empirical perspectives. Empirically, it will focus on poverty, migration and youth crime (?). How have these issues been understood as problems and in what ways has this understanding affected the public policy response?
The theory and methods of Statistics play an important role in all walks of life, society, medicine and industry. They enable important understanding to be gained and informed decisions to be made, about a population by examining only a small random sample of the members of that population. For example, to decide whether a new drug improves the symptoms of a disease in all those diagnosed as having the condition (the population), a clinical trial might be undertaken in which a sample of people who receive the new drug is compared with a sample receiving no active treatment. Such statistical inferences about a population are subject to uncertainty – what we observe in our particular sample (or samples) may not hold for the whole population. Probability theory and statistical distributions are needed to quantify this uncertainty, and assess the accuracy of our inference about the population. This module aims to lay foundations in probability and distribution theory, data analysis and the use of a statistical software package, which will be built upon in later modules.
Linear maps on vector spaces are the basis for a large area of mathematics, in particular linear equations and linear differential equations, which form the basic language of the physical sciences.
This module restricts itself to the vector space R^n to build an intuitive understanding of the concepts of linear algebra and tools for calculations. We begin with the geometry of lines and planes in R^3 and R^n looking at the intuitive concept of vectors on the one hand, and with systems of linear equations on the other. This leads us to matrix algebra, and in particular the inversion of matrices.