Finance and Investment Management, _MScEcon

15 Credit Points

This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School. These tools will be useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation. The first part of the course covers basic mathematical models common across these fields. The second part of the course develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.

15 Credit Points

This course introduces students to basic financial concepts before moving on to introduce students to a number of areas of corporate finance including investment appraisal decisions, examining capital structure theory, the financing decisions of the firm, and corporate restructuring. The main aim of the course is to equip students with good analytical skills in order to understand the implications of corporate financing decisions by understanding why companies behave the way they do with respect to financing choices and how this interacts with the real world financial markets, and to enable students to understand the theoretical underpinnings of corporate finance theory.

15 Credit Points

The course will cover the main elements of Microeconomic Theory together with how this underpins the macro economy, covering consumer theory, how consumers choose under constraint of a budget, to generate demands. How this theory can be used to consider the welfare effects of price changes will be considered. The problem of production will be examined to understand the supply, and the demand and supply side will be drawn together to consider market structure. How the theory can be used to identify market supplies and demands from empirical data will be examined.

This course, which is prescribed for all taught postgraduate students, is studied entirely online, is studied entirely online, takes approximately 2-3 hours to complete and can be taken in one sitting, or spread across the first 4 weeks of term.

Topics include University orientation overview, equality & diversity, MySkills, health, safety and cyber security, and academic integrity.

Successful completion of this course will be recorded on your Transcript as ‘Achieved’.

15 Credit Points

The fact that money (and understanding money) really matters in business and all managers need to understand issues like cashflow and profit might depress you, but it is true. Financial viability of customers? Deciding on the likely financial viability of a project? Reporting to shareholders about performance? Does the word “sustainable” appear in a finance dictionary? All questions we will try and address.

15 Credit Points

This course examines theories and issues relevant to portfolio analysis. Themes include: risk and return; investment motives; the application of modern portfolio theory (including the Capital Asset Pricing Model); information and market efficiency; portfolio analysis and asset pricing; bonds and equities; real estate and derivative markets.

15 Credit Points

This course aims to provide students with the quantitative skills to undertake extended investigation of financial data and assist in financial decision making. It introduces various standard time series techniques such as univariate and multivariate time series modelling, unit root tests, and volatility modelling. Particularly emphasis is on intuitive discussions of the methods, and practical examples and applications are also included.

15 Credit Points

Like football, this course is a game of two halves. The first half is financial analysis and builds your ability to analyse companies and think about the implications of financial performance for investors. We will be using Datastream and Bloomberg software. In the second half we will think about how stock markets work and how they are regulated.

15 Credit Points

Corporate governance has become one of the most significant challenges for organisations and for the managers who work within them. The reasons for this include high-profile corporate scandals, conflict of interests, manipulations of financial statements, ethical dilemmas, crises like the global financial crisis credit crunch or even pandemic, and a growing need to demonstrate corporate accountability, transparency and ethical practices. The “Issues in Corporate Governance and Ethics” course will deepen students understanding and stimulate critical thinking in these areas. Students will study and critique theory and practices of corporate governance models and ethics guidelines as well as its relation to boards, professional bodies (accounting/audit firms), investors and wider stakeholder groups.

15 Credit Points

This course will introduce machine learning, artificial intelligence and forecasting with applications in finance and management.

The course will explore recent trends in FINTECH, which are based on data analytics and recent advances in machine learning. The course will provide an introduction to Python, which has become the dominant general-purpose programming language in data analytics and machine learning. To be clear, students are not expected to have any prior knowledge of Python or any other programming language.

60 Credit Points

The capstone of your programme. A significant individual piece of work showing your ability to think, research, organise and analyse. You will work with a member of faculty to develop a proposal that you will then turn into 10,000 words of reality!

15 Credit Points

This course examines theories and issues relevant to portfolio analysis. Themes include: risk and return; investment motives; the application of modern portfolio theory (including the Capital Asset Pricing Model); information and market efficiency; portfolio analysis and asset pricing; bonds and equities; real estate and derivative markets.

15 Credit Points

This course aims to provide students with the quantitative skills to undertake extended investigation of financial data and assist in financial decision making. It introduces various standard time series techniques such as univariate and multivariate time series modelling, unit root tests, and volatility modelling. Particularly emphasis is on intuitive discussions of the methods, and practical examples and applications are also included.

15 Credit Points

Like football, this course is a game of two halves. The first half is financial analysis and builds your ability to analyse companies and think about the implications of financial performance for investors. We will be using Datastream and Bloomberg software. In the second half we will think about how stock markets work and how they are regulated.

This course, which is prescribed for all taught postgraduate students, is studied entirely online, is studied entirely online, takes approximately 2-3 hours to complete and can be taken in one sitting, or spread across the first 4 weeks of term.

Topics include University orientation overview, equality & diversity, MySkills, health, safety and cyber security, and academic integrity.

Successful completion of this course will be recorded on your Transcript as ‘Achieved’.

15 Credit Points

Corporate governance has become one of the most significant challenges for organisations and for the managers who work within them. The reasons for this include high-profile corporate scandals, conflict of interests, manipulations of financial statements, ethical dilemmas, crises like the global financial crisis credit crunch or even pandemic, and a growing need to demonstrate corporate accountability, transparency and ethical practices. The “Issues in Corporate Governance and Ethics” course will deepen students understanding and stimulate critical thinking in these areas. Students will study and critique theory and practices of corporate governance models and ethics guidelines as well as its relation to boards, professional bodies (accounting/audit firms), investors and wider stakeholder groups.

15 Credit Points

This course will introduce machine learning, artificial intelligence and forecasting with applications in finance and management.

The course will explore recent trends in FINTECH, which are based on data analytics and recent advances in machine learning. The course will provide an introduction to Python, which has become the dominant general-purpose programming language in data analytics and machine learning. To be clear, students are not expected to have any prior knowledge of Python or any other programming language.

60 Credit Points

The capstone of your programme. A significant individual piece of work showing your ability to think, research, organise and analyse. You will work with a member of faculty to develop a proposal that you will then turn into 10,000 words of reality!

15 Credit Points

This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School. These tools will be useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation. The first part of the course covers basic mathematical models common across these fields. The second part of the course develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.

15 Credit Points

The course will cover the main elements of Microeconomic Theory together with how this underpins the macro economy, covering consumer theory, how consumers choose under constraint of a budget, to generate demands. How this theory can be used to consider the welfare effects of price changes will be considered. The problem of production will be examined to understand the supply, and the demand and supply side will be drawn together to consider market structure. How the theory can be used to identify market supplies and demands from empirical data will be examined.

15 Credit Points

This course introduces students to basic financial concepts before moving on to introduce students to a number of areas of corporate finance including investment appraisal decisions, examining capital structure theory, the financing decisions of the firm, and corporate restructuring. The main aim of the course is to equip students with good analytical skills in order to understand the implications of corporate financing decisions by understanding why companies behave the way they do with respect to financing choices and how this interacts with the real world financial markets, and to enable students to understand the theoretical underpinnings of corporate finance theory.

15 Credit Points

The fact that money (and understanding money) really matters in business and all managers need to understand issues like cashflow and profit might depress you, but it is true. Financial viability of customers? Deciding on the likely financial viability of a project? Reporting to shareholders about performance? Does the word “sustainable” appear in a finance dictionary? All questions we will try and address.

This course, which is prescribed for all taught postgraduate students, is studied entirely online, is studied entirely online, takes approximately 2-3 hours to complete and can be taken in one sitting, or spread across the first 4 weeks of term.

Topics include University orientation overview, equality & diversity, MySkills, health, safety and cyber security, and academic integrity.

Successful completion of this course will be recorded on your Transcript as ‘Achieved’.

15 Credit Points

This course examines theories and issues relevant to portfolio analysis. Themes include: risk and return; investment motives; the application of modern portfolio theory (including the Capital Asset Pricing Model); information and market efficiency; portfolio analysis and asset pricing; bonds and equities; real estate and derivative markets.

15 Credit Points

This course aims to provide students with the quantitative skills to undertake extended investigation of financial data and assist in financial decision making. It introduces various standard time series techniques such as univariate and multivariate time series modelling, unit root tests, and volatility modelling. Particularly emphasis is on intuitive discussions of the methods, and practical examples and applications are also included.

15 Credit Points

This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School. These tools will be useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation. The first part of the course covers basic mathematical models common across these fields. The second part of the course develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.

15 Credit Points

The fact that money (and understanding money) really matters in business and all managers need to understand issues like cashflow and profit might depress you, but it is true. Financial viability of customers? Deciding on the likely financial viability of a project? Reporting to shareholders about performance? Does the word “sustainable” appear in a finance dictionary? All questions we will try and address.

15 Credit Points

The course will cover the main elements of Microeconomic Theory together with how this underpins the macro economy, covering consumer theory, how consumers choose under constraint of a budget, to generate demands. How this theory can be used to consider the welfare effects of price changes will be considered. The problem of production will be examined to understand the supply, and the demand and supply side will be drawn together to consider market structure. How the theory can be used to identify market supplies and demands from empirical data will be examined.

15 Credit Points

This course introduces students to basic financial concepts before moving on to introduce students to a number of areas of corporate finance including investment appraisal decisions, examining capital structure theory, the financing decisions of the firm, and corporate restructuring. The main aim of the course is to equip students with good analytical skills in order to understand the implications of corporate financing decisions by understanding why companies behave the way they do with respect to financing choices and how this interacts with the real world financial markets, and to enable students to understand the theoretical underpinnings of corporate finance theory.

60 Credit Points

The capstone of your programme. A significant individual piece of work showing your ability to think, research, organise and analyse. You will work with a member of faculty to develop a proposal that you will then turn into 10,000 words of reality!

15 Credit Points

Like football, this course is a game of two halves. The first half is financial analysis and builds your ability to analyse companies and think about the implications of financial performance for investors. We will be using Datastream and Bloomberg software. In the second half we will think about how stock markets work and how they are regulated.

15 Credit Points

This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School. These tools will be useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation. The first part of the course covers basic mathematical models common across these fields. The second part of the course develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.

15 Credit Points

The fact that money (and understanding money) really matters in business and all managers need to understand issues like cashflow and profit might depress you, but it is true. Financial viability of customers? Deciding on the likely financial viability of a project? Reporting to shareholders about performance? Does the word “sustainable” appear in a finance dictionary? All questions we will try and address.

15 Credit Points

The course will cover the main elements of Microeconomic Theory together with how this underpins the macro economy, covering consumer theory, how consumers choose under constraint of a budget, to generate demands. How this theory can be used to consider the welfare effects of price changes will be considered. The problem of production will be examined to understand the supply, and the demand and supply side will be drawn together to consider market structure. How the theory can be used to identify market supplies and demands from empirical data will be examined.

15 Credit Points

This course introduces students to basic financial concepts before moving on to introduce students to a number of areas of corporate finance including investment appraisal decisions, examining capital structure theory, the financing decisions of the firm, and corporate restructuring. The main aim of the course is to equip students with good analytical skills in order to understand the implications of corporate financing decisions by understanding why companies behave the way they do with respect to financing choices and how this interacts with the real world financial markets, and to enable students to understand the theoretical underpinnings of corporate finance theory.

15 Credit Points

Corporate governance has become one of the most significant challenges for organisations and for the managers who work within them. The reasons for this include high-profile corporate scandals, conflict of interests, manipulations of financial statements, ethical dilemmas, crises like the global financial crisis credit crunch or even pandemic, and a growing need to demonstrate corporate accountability, transparency and ethical practices. The “Issues in Corporate Governance and Ethics” course will deepen students understanding and stimulate critical thinking in these areas. Students will study and critique theory and practices of corporate governance models and ethics guidelines as well as its relation to boards, professional bodies (accounting/audit firms), investors and wider stakeholder groups.

15 Credit Points

This course will introduce machine learning, artificial intelligence and forecasting with applications in finance and management.

The course will explore recent trends in FINTECH, which are based on data analytics and recent advances in machine learning. The course will provide an introduction to Python, which has become the dominant general-purpose programming language in data analytics and machine learning. To be clear, students are not expected to have any prior knowledge of Python or any other programming language.

This course, which is prescribed for all taught postgraduate students, is studied entirely online, is studied entirely online, takes approximately 2-3 hours to complete and can be taken in one sitting, or spread across the first 4 weeks of term.

Topics include University orientation overview, equality & diversity, MySkills, health, safety and cyber security, and academic integrity.

Successful completion of this course will be recorded on your Transcript as ‘Achieved’.

15 Credit Points

This course examines theories and issues relevant to portfolio analysis. Themes include: risk and return; investment motives; the application of modern portfolio theory (including the Capital Asset Pricing Model); information and market efficiency; portfolio analysis and asset pricing; bonds and equities; real estate and derivative markets.

15 Credit Points

This course aims to provide students with the quantitative skills to undertake extended investigation of financial data and assist in financial decision making. It introduces various standard time series techniques such as univariate and multivariate time series modelling, unit root tests, and volatility modelling. Particularly emphasis is on intuitive discussions of the methods, and practical examples and applications are also included.

15 Credit Points

Like football, this course is a game of two halves. The first half is financial analysis and builds your ability to analyse companies and think about the implications of financial performance for investors. We will be using Datastream and Bloomberg software. In the second half we will think about how stock markets work and how they are regulated.

60 Credit Points

The capstone of your programme. A significant individual piece of work showing your ability to think, research, organise and analyse. You will work with a member of faculty to develop a proposal that you will then turn into 10,000 words of reality!

15 Credit Points

This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School. These tools will be useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation. The first part of the course covers basic mathematical models common across these fields. The second part of the course develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.

15 Credit Points

The fact that money (and understanding money) really matters in business and all managers need to understand issues like cashflow and profit might depress you, but it is true. Financial viability of customers? Deciding on the likely financial viability of a project? Reporting to shareholders about performance? Does the word “sustainable” appear in a finance dictionary? All questions we will try and address.

15 Credit Points

The course will cover the main elements of Microeconomic Theory together with how this underpins the macro economy, covering consumer theory, how consumers choose under constraint of a budget, to generate demands. How this theory can be used to consider the welfare effects of price changes will be considered. The problem of production will be examined to understand the supply, and the demand and supply side will be drawn together to consider market structure. How the theory can be used to identify market supplies and demands from empirical data will be examined.

15 Credit Points

This course introduces students to basic financial concepts before moving on to introduce students to a number of areas of corporate finance including investment appraisal decisions, examining capital structure theory, the financing decisions of the firm, and corporate restructuring. The main aim of the course is to equip students with good analytical skills in order to understand the implications of corporate financing decisions by understanding why companies behave the way they do with respect to financing choices and how this interacts with the real world financial markets, and to enable students to understand the theoretical underpinnings of corporate finance theory.

15 Credit Points

Corporate governance has become one of the most significant challenges for organisations and for the managers who work within them. The reasons for this include high-profile corporate scandals, conflict of interests, manipulations of financial statements, ethical dilemmas, crises like the global financial crisis credit crunch or even pandemic, and a growing need to demonstrate corporate accountability, transparency and ethical practices. The “Issues in Corporate Governance and Ethics” course will deepen students understanding and stimulate critical thinking in these areas. Students will study and critique theory and practices of corporate governance models and ethics guidelines as well as its relation to boards, professional bodies (accounting/audit firms), investors and wider stakeholder groups.

15 Credit Points

This course will introduce machine learning, artificial intelligence and forecasting with applications in finance and management.

The course will explore recent trends in FINTECH, which are based on data analytics and recent advances in machine learning. The course will provide an introduction to Python, which has become the dominant general-purpose programming language in data analytics and machine learning. To be clear, students are not expected to have any prior knowledge of Python or any other programming language.

15 Credit Points

This course develops a mathematical and statistical ‘toolbox’ for PGT students in the Business School. These tools will be useful in understanding and implementing research in business- and economics-related fields both during a student’s academic career as well as after graduation. The first part of the course covers basic mathematical models common across these fields. The second part of the course develops standard data analysis methods, including multivariate regression. The final part of the course examines shortcomings in the standard model and describes ways of overcoming those shortcomings.

15 Credit Points

The fact that money (and understanding money) really matters in business and all managers need to understand issues like cashflow and profit might depress you, but it is true. Financial viability of customers? Deciding on the likely financial viability of a project? Reporting to shareholders about performance? Does the word “sustainable” appear in a finance dictionary? All questions we will try and address.

15 Credit Points

The course will cover the main elements of Microeconomic Theory together with how this underpins the macro economy, covering consumer theory, how consumers choose under constraint of a budget, to generate demands. How this theory can be used to consider the welfare effects of price changes will be considered. The problem of production will be examined to understand the supply, and the demand and supply side will be drawn together to consider market structure. How the theory can be used to identify market supplies and demands from empirical data will be examined.

15 Credit Points

This course introduces students to basic financial concepts before moving on to introduce students to a number of areas of corporate finance including investment appraisal decisions, examining capital structure theory, the financing decisions of the firm, and corporate restructuring. The main aim of the course is to equip students with good analytical skills in order to understand the implications of corporate financing decisions by understanding why companies behave the way they do with respect to financing choices and how this interacts with the real world financial markets, and to enable students to understand the theoretical underpinnings of corporate finance theory.