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Masters Degrees (Quantitative Analysis)

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Postgraduate degree programme in Financial Engineering Masters/MSc. Read more

Postgraduate degree programme in Financial Engineering Masters/MSc:

MSc Financial Engineering is a multi-disciplinary field that involves the application of the computational engineering, software engineering, and computer programming skills, as well as the underlying mathematical and statistical theories to the analysis and management of financial opportunities. Students will receive the most advanced computational and programming techniques which help them advance quickly in the field.

Course details

Financial engineering is a multi-disciplinary field that involves the application of computational engineering, software engineering, and computer programming skills, as well as the underlying mathematical and statistical theories to the analysis and management of financial opportunities. 

The programme is for strong (1st, 2.1 or equivalent) graduates from programmes in mathematics, or programmes with advanced mathematical components, and who wish to pursue a career in quantitative analysis in economic or financial sectors with state-of-art mathematical methods, computational skills and programming expertise.

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Learning and teaching

In the Autumn and Spring semesters, you will take masters-level courses in both computational methods and programming and statistical methods in economics, as well as computer science courses such as the Computer Science Workshop, in addition to the core quantitative finance and further quantitative finance modules which are needed for a career in financial engineering and computational finance. 

In the summer you will undertake a project, working with research leaders in mathematics and computer sciences. This will provide directly relevant training for a career in academic, and quantitative analysis in financial industry. A key component will be training specifically in independent study and research, an essential skill for quantitative analyst.

Employability

Career opportunities

This programme gives an ideal preparation for a career in quantitative analysis in economic or financial sectors with state-of-art mathematical methods, computational skills and programming expertise. The School’s graduates work in a wide variety of fields in governmental and multi-national organisations.

University Careers Network

Preparation for your career should be one of the first things you think about as you start university. Whether you have a clear idea of where your future aspirations lie or want to consider the broad range of opportunities available once you have a Birmingham degree, our Careers Network can help you achieve your goal.

Our unique careers guidance service is tailored to your academic subject area, offering a specialised team (in each of the five academic colleges) who can give you expert advice. Our team source exclusive work experience opportunities to help you stand out amongst the competition, with mentoring, global internships and placements available to you. Once you have a career in your sights, one-to-one support with CVs and job applications will help give you the edge.

If you make the most of the wide range of services you will be able to develop your career from the moment you arrive.



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This Master's degree offer a strategic perspective on marketing management, a discipline that is increasingly being seen as critical to success in achieving business goals, and as a core function in many organisations. Read more

This Master's degree offer a strategic perspective on marketing management, a discipline that is increasingly being seen as critical to success in achieving business goals, and as a core function in many organisations. Depending on your choice of modules, your final award could be either Master of Arts (MA) or Master of Science (MSc).

Students on this course are eligible for an Affiliate Professional Membership of Chartered Institute of Marketing (CIM) and access to a range of professional events.

You will develop a strategic perspective and broaden your existing understanding of marketing and its integration into an overall corporate strategy and structure. You will hone your capacity for analysing complex marketing and business situations and reaching decisions on appropriate courses of action. You will also improve your career prospects in marketing and general business areas.

A highlight for many students is the residential weekend organised as part of this course – a weekend away combining presentations and workshops with great opportunities to network and get to know your fellow students.

Students on this course benefit from free access to part of the material on the course reading list.

Fast-track marketing management MA/MSc

A fast-track route to the Marketing Management MA qualification is available for holders of the CIM Postgraduate Diploma in Marketing (or equivalent). Holders of this qualification will be exempt from all but two modules: 

  • For MA: Marketing Creativity and Innovation Marketing Dissertation
  • For MSc: Quantitative Analysis for Marketing and Management Marketing Dissertation

The fees will be proportional to the number of credits studied. Dissertation (40 credits) Quantitative Analysis for Marketing Management (20 credits)

Course structure

The following modules are indicative of what you will study on this course. 

Core modules – MA

Core modules – MSc

Professional association

Students on this course are eligible for an Affiliate Professional Membership of Chartered Institute of Marketing (CIM) and access to a range of professional events.

Internships

All students on our full-time Business Masters courses can apply to undertake the PG/MBA Internship Programme, which forms part of the Reflective Practitioner Module.

The internship allows you to test drive a career and explore one of your career interests before you complete your Postgraduate studies!

Completing an 8-12 week accredited internship helps students gain invaluable work experience. This fantastic work experience can be taken in addition to option modules. Students are responsible for finding their own internship with the support of the Business Experience Team.

To express an interest in the module, students must submit a completed application form and a copy of their updated CV. This will give students membership a dedicated website that offers exclusive access to internship vacancies, one to-one CV guidance appointments, mock interviews, employability workshops and much more.

Students can apply to London-based organisations and have the flexibility to take their internship in the summer period or alongside their studies.

Every year we receive very positive feedback from both postgraduate students and employers and expect that the internship programme will continue to remain popular amongst our students.

Find out about postgraduate internships 

Career path

As a Marketing Management postgraduate, you can look forward to excellent career prospects in both UK and international specialist agencies and within in-house marketing departments.

With the MA/MSc Marketing Management, you will be particularly well-placed to pursue marketing opportunities with organisations who want marketing specialists with business analytical skills. And with the MSc, you'll also be well-placed to pursue opportunities with organisations involved in technical or financial products.

During your study, you will be offered one-year Chartered Institute of Marketing (CIM) Affiliate Professional Membership and opportunities of attending the CIM professional development and networking events which are accredited towards your CPD.



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Businesses are increasingly collecting large amounts of information about their customers and activities. This ‘big data’ is big news with the media, businesses and government as they consider how to use this mass of information in a meaningful way. Read more

Businesses are increasingly collecting large amounts of information about their customers and activities. This ‘big data’ is big news with the media, businesses and government as they consider how to use this mass of information in a meaningful way.

Analysts use their expertise to make sense of this information and interpret it, enabling evidence-based business decisions. As a result, they’re in high demand with employers in every sector.

This programme gives you an insight into business analytics and explores how organisations can exploit the big data revolution. You’ll develop decision-oriented, quantitative analytical skills in a management context, and learn to sift intelligence from the growing volume and variety of data collected on many aspects of life.

Combining theoretical concepts with practical application, you’ll develop a unique mix of quantitative and behavioural skills relevant to data analyses, effective decision-making and management.

Academic excellence

You’ll be taught by internationally recognised academics and business practitioners from our Centre for Decision Research, who are actively engaged in the latest research, advising businesses, governments and international bodies. They share this expertise and knowledge with you in the classroom.

With the Leeds Institute for Data Analytics on campus, the University of Leeds has a growing wealth of expertise and resources in data sciences.

Course content

This programme will build your knowledge and understanding of how business analytics can provide evidence to support management decision-making. You’ll learn how to use different evidence-based approaches to make effective decisions, developing your skills in quantitative analysis.

You’ll consider advanced techniques such as forecasting and have the opportunity to apply your decision-making skills to real-life business and management scenarios. With the support of leading researchers in this constantly shifting landscape, you’ll also gain an understanding of research methods.

A range of optional modules allows you to gain specialist knowledge that suits your interests or career plans.

The course culminates in a 12,000 word dissertation or project, enabling you to apply your learning to a topic of your choice. This is an opportunity to explore the very latest insights with the support of an academic who shares your passion and interest.

Course structure

Compulsory modules

You’ll take eight compulsory modules including your dissertation.

  • Effective Decision Making 15 credits
  • Dissertation 45 credits
  • Advanced Management Decision Making 15 credits
  • Business Analytics and Decision Science 15 credits
  • Forecasting and Advanced Business Analytics 15 credits
  • Evidence Based Consultancy 15 credits
  • Research Methods 15 credits
  • Quantitative Analysis 15 credits

Optional modules

You'll also choose another three optional modules.

  • Behavioural Finance 15 credits
  • Risk Perception and Communication 15 credits
  • Managing Global Logistics and Supply Chains 15 credits
  • Operations and Supply Chain Management 15 credits
  • Managing and Designing Value Chain Networks 15 credits
  • Information Tools for Organisations 15 credits
  • Challenges in Information Management 15 credits
  • Designing Information Systems 15 credits

For more information on typical modules, read Business Analytics and Decision Sciences MSc in the course catalogue

Learning and teaching

We use a variety of teaching and learning methods to help you make the most of your studies. These will include lectures, seminars, workshops, online learning, computer classes and tutorials.

Independent study is also vital for this course allowing you to prepare for taught classes and sharpen your own research and critical skills.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too. You’ll be assessed using a range of techniques including exams, group projects, written assignments and essays, in-course assessment, group and individual presentations and reports.

Career opportunities

Graduates of the MSc Business Analytics and Decision Sciences can expect to have the quantitative skills to analyse complex business information, and use the resulting intelligence to inform business decisions.

You will be ideally placed to pursue a career in analytics and decision making, general and specialist management roles in a range of industries, or as business or market analysts.

Employers in both private and public sectors are actively seeking graduates with these skills, and trends show that the career opportunities are fast increasing. The role of the data scientist was described as the 'Sexiest Job of the 21st Century' by the Harvard Business Review.

Demand for experts in business analytics is growing rapidly and the University of Leeds is at the forefront of developments in this area.

Read more about Business Analytics at Leeds.

Links with industry

Students have the opportunity to develop leadership skills as part of our Leaders in Residence initiative which gives management students the opportunity to engage with senior figures from the world of business. This is a rare opportunity where successful and established business people will help you connect the theory of your course to real world practice, and offer their advice for career success.

You will be able to connect with leaders from a range of firms including major manufacturers and retailers, charity chief executives, entrepreneurs and directors of companies large and small, through structured meetings and events. This typically includes workshops, social events, guest lectures and professional skills development.

Careers support

We help you to achieve your career ambitions by providing professional development support as part of the course. You benefit from our professional development tutor, who will work with you to develop the important professional skills that employers value.

Read more about our careers and professional development support.

The Careers Centre also provides a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate.



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Would you like to undertake advanced study in quantitative analysis in an environment of research excellence? To question how we understand and assess empirical findings reported within applied economics?. Read more
Would you like to undertake advanced study in quantitative analysis in an environment of research excellence? To question how we understand and assess empirical findings reported within applied economics?

Our popular course emphasises the foundations of econometrics and its application to a wide range of topics in economics. You explore topics including:
-The statistical foundations for a variety of estimating methods
-Ways of testing economic hypotheses
-The classical linear regression model
-The use of asymptotic methods in econometrics
-The analysis of stock markets and other financial data

We are top 5 in the UK for research, with over 90% of our research rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Professional accreditation

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK.

This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

On our course you will develop key employability skills including statistical analysis, mathematical techniques, research, analytical reasoning and modelling.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation
-Microeconomics
-Macroeconomics
-Time Series Econometrics
-Estimation and Inference in Econometrics
-Economic Development Theory (optional)
-Economics of Financial Markets (optional)
-Economics of Incentives, Contracts and the Firm (optional)
-Game Theory and Applications (optional)
-International Finance (optional)
-International Trade (optional)
-Mathematical Methods (optional)
-Microeconometrics (optional)
-Monetary Economics (optional)
-Panel Data Methods (optional)
-Political Economy (optional)
-Theory of Industrial Organisation (optional)
-Topics in Financial Economics (optional)
-Banking (optional)
-Behavioural Economics I: Individual Decision Making (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design (optional)
-Behavioural Economics II: Games and Markets (optional)
-Applications of Data Analysis (optional)

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How can different kinds of data inform us on economic issues? On this course you learn how economic data analysis can address practical problems within business, accounting, and development. Read more
How can different kinds of data inform us on economic issues? On this course you learn how economic data analysis can address practical problems within business, accounting, and development.

Our MSc Applied Economics and Data Analysis is run jointly between our Department of Economics and our Institute for Social and Economic Research (ISER), which specialises in the analysis of household and labour market data.

On our course you will be provided the tools for analysing and implementing some of the models that are present in theory modules. You study data-orientated, applied modules, exploring topics including:
-Techniques used in the analysis of panel data
-The specification of models and the tests of their validity
-Methods for analysing persistence over time in economic variables
-Handling different types of datasets,
-Survey methodology and sampling frames, and how to deal with problems of response rates and attrition

We are top 5 in the UK for research, with over 90% of our research rated as “world-leading” or “internationally excellent”. Much of this world-class research is related to policy, and we have particular strengths in the areas of:
-Game theory and strategic interactions
-Theoretical and applied econometrics
-Labour economics

The quality of our work is reflected in our stream of publications in high-profile academic journals, including American Economic Review, Econometrica, and Review of Economic Studies.

Our University is one of only 21 ESRC-accredited Doctoral Training Centres in the UK. This means that our course can form part of a prestigious 1+3 funding opportunity worth up to £21,575.

Our expert staff

Study and work alongside some of the most prominent economists of our time.

Our researchers are at the forefront of their field and have even received MBEs, with students coming from across the globe to study, research or work with us.

Many of our researchers also provide consultancy services to businesses in London and other major financial centres, helping us to develop research for today's society as well as informing our teaching for the future.

For a full list of research interests, see our Department’s staff pages.

Specialist facilities

Take advantage of our wide range of learning resources to assist you in your studies:
-Extensive software for quantitative analysis is available in all computer labs across the university
-Access a variety of economics databases and multiple copies of textbooks and e-books in the Albert Sloman Library

Your future

After completing your masters, you may wish to extend your knowledge with a research degree – many Essex graduates decide to stay here for further study.

Alternatively, our course also prepares you for employment; recent surveys have shown that higher degree graduates are more likely to obtain jobs at professional or managerial level.

You will develop key employability skills including analytical reasoning, mathematical techniques, model building and data analysis.

Our graduates find employment in roles such as business and financial analysts, management consultants, government officials, and economists for banks and other financial organisations.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example Structure

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

MSc Applied Economics and Data Analysis
-Dissertation
-Applications of Data Analysis
-Mathematical Methods
-Microeconomics
-Panel Data Methods
-Banking (optional)
-Behavioural Economics I: Individual Decision Making (optional)
-Behavioural Economics II: Games and Markets (optional)
-Computational Agent-Based Macro-Economics, Financial Markets and Policy Design (optional)
-Econometric Methods (optional)
-Economic Development Theory (optional)
-Economics of Financial Markets (optional)
-Estimation and Inference in Econometrics (optional)
-Game Theory and Applications (optional)
-International Finance (optional)
-International Trade (optional)
-Macroeconomics (optional)
-Monetary Economics (optional)
-Political Economy (optional)
-Theory of Industrial Organisation (optional)
-Time Series Econometrics (optional)
-Topics in Financial Economics (optional)
-Economics of Incentives, Contracts and the Firm (optional)

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The course is particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics (see  . Read more

The course is particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics (see  entry requirements ), as well as relevant work experience (non-compulsory). It is also suited to those wishing to gain salary enhancements, or students wishing to pursue advanced studies in quantitative finance.

  • Learn how to forecast and manage risk and return
  • Gain the skills to price any financial instrument
  • Learn how to engineer new methods and financial products
  • Build advanced knowledge of the main theoretical and applied concepts in quantitative finance, financial engineering and risk management, using current issues to stimulate your thinking
  • Prepare for careers involving the design and management of new financial instruments, the development of innovative methods for measuring, or predicting and managing risk.

CFA training

We have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams.

  • MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students who perform well in Semester one and show a strong interest in CFA will get free access to Kaplan's online training materials for CFA Part One.
  • Gain student support from Kaplan with access to tuition material, online question banks and progress tests, and mock exam runs. Plus tutor support and 1-2-1 sessions.
  • The CFA Program builds a strong foundation of advanced investment analysis and real-world portfolio management skills.
  • Take the first step to earning the Chartered Financial Analyst ® (CFA) credential to prepare for the Level I exam
  • The CFA is the most respected and recognised investment designation in the world.

Trading BootCamp Week

Together with Amplify Trading , a global financial trading and training firm, we offer a week long Trading BootCamp for MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students.

  • experience a live trading floor provided by two experienced traders with specialist software
  • engage with contemporary financial markets and apply your classroom theory in practice
  • watch live breaking news, economic data and geo-political events, and use your knowledge and skills in trading different asset classes
  • a fantastic opportunity to prepare you for successful careers after graduation.

The Finance Zone   

Special features

Worshipful Company of International Bankers Affiliation

Our accounting and finance division courses are now affiliated with the Worshipful Company of International Bankers (WCIB). Every year the best dissertation out of the following four courses will receive the WCIB Prize worth £300.

  • MSc Accounting 
  • MSc Accounting and Finance
  • MSc Finance
  • MSc Quantitative Finance

The winner will also enter the competition for the prestigious WCIB Lombard Prize . 

Coursework and assessment

The course teaching is shared by Alliance Manchester Business School and the School of Mathematics, and delivered through lectures, case studies, seminars and group project-based work. Assessment varies depending on course units taken. It may include a combination of course work and examination. The dissertation normally ranges between 30 and 50 double spaced pages.

Course unit details

During the course you will be taking 180 credits in all. The eight taught modules during semester one and two total 120 credits and consists of both compulsory and optional taught units which can be viewed in the list below.  

Over the summer period, you will carry out your Research Dissertation, worth 60 credits. The dissertation gives you the opportunity to apply what you have learned in the taught part of the course. Our topics are aligned with the research interests of leading financial institutions from the City of London and internationally.

Examples of recent dissertation project topics include:

  • Approximation of CVA/DVA/FVA
  • FVA and MM - quantitative analysis/illustration Continuous rainbow options on commodity outputs
  • Investigating dynamics and determinants of risk-neutral PDs
  • Using hazard models to forecast corporate bankruptcy
  • Analysing asset pricing implications from real options models
  • Pricing sovereign CDS contracts
  • Estimating liquidation probabilities of hedge funds

Scholarships and bursaries

Masters scholarships for Accounting and Finance programmes for UK/EU students

We are delighted to be able to offer five scholarships available across the four Accounting and Finance programmes with a value of £10,000 towards the cost of the tuition fee. The scholarships will be awarded in line with our scholarship deadlines so early application is advisable. Find out more>>

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

This course provides ideal preparation for a career in the finance industry specialising in designing and trading financial instruments. These financial engineers are expected to be proficient in computer programming and strong in financial mathematics. They have to be at ease with complex derivatives and creative enough to find solutions for pricing and hedging. The course also provides research skills for those who wish to pursue an academic career by studying at doctoral level.

Click here for information on our Careers Service.

Click here for the latest information on visa changes and opportunities in the UK for international students.



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Using data science to retrieve hidden information. The need for quantitative support for operational and strategic decisions is ever-increasing. Read more

Using data science to retrieve hidden information

The need for quantitative support for operational and strategic decisions is ever-increasing. Do you want to help businesses understand their customers better and make smarter decisions? Are maths, statistics and econometrics your forte? Do data science and the use of advanced methods appeal to you? The Business Analytics and Quantitative Marketing programme focuses on the most creative side of data science: converting big data into knowledge, finding opportunities and predicting behaviour.

This challenging programme teaches you how to solve business problems from an econometric point of view, perform quantitative research by using and further developing state-of-the-art data-analysis methods and translate findings into actionable advice.

How many reasons do you need?

At Erasmus School of Economics we are leaders in quantitative research and renowned for our high-quality practice-based teaching methods. Add this to our close ties to the business world and our many successful alumni in the field… and you know why Rotterdam is where you want to specialise in Business Analytics and Quantitative Marketing.

Careers

Solid (management) decisions in business and marketing increasingly depend on quantitative analysis. Not surprisingly, business analysts are in high demand. For the first step in their careers our alumni found jobs as a (marketing) researcher or data scientist at organisations like:

  • ACNielsen, GfK, KPN, Unilever and Bol.com
  • smaller specialised consultancy firms
  • financial institutions like banks or insurance companies
  • academia

Such a position is also excellent stepping stone for a senior research or management position at similar corporations and institutions.

 

"Obtaining relevant information from very large and complex datasets to support accurate decision-making gives me a kick"

Are statistics and econometrics your thing? Would you like to dig deep, retrieve hidden information with state-of-the art techniques and contribute to sound decision-making? Our students share your interests. See how you match.

Download the brochure here.



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This programme provides practical, career-orientated training in social science research methods, including research design, data collection and data analysis relating to both qualitative and quantitative modes of inquiry. Read more

This programme provides practical, career-orientated training in social science research methods, including research design, data collection and data analysis relating to both qualitative and quantitative modes of inquiry.

Students will have the opportunity to specialise in particular methodologies and to learn more about the application of these methodologies to illuminate important issues and debates in contemporary society.

Course Details

The programme is designed to provide a fundamental grounding in both quantitative and qualitative research skills, along with the opportunity to specialise in more advanced training in quantitative research, qualitative research or in practical applications of research techniques.

CORE MODULES:

Semester 1

Approaches to Social Research (20 CATS)

This module offers an introduction to the different styles of social science research as well as guidance and illustrations of how to operationalize research questions and assess them empirically. Students will be shown how to conduct systematic literature searches and how to manage empirical research projects. The module will also explore issues around the ethics of social science research as well as the connection between social science research and policy concerns. It is designed as preparation for undertaking postgraduate research and dissertation work.

Theory and Debates in Social Research (20 CATS)

This module aims to deepen students' understanding of key debates in social theory and research, providing advanced level teaching for those building upon basic knowledge and undertaking postgraduate research. It is designed to demonstrate and explore how social theory is utilised, critiqued and developed through the pursuit of social science research.

The Sources and Construction of Qualitative Data (10 CATS)

The purpose of this module is to illuminate the theoretical underpinnings of qualitative research. The module will discuss the impact of various theories on the nature and conduct of qualitative research particularly around questions of epistemology and ontology. The role of different types of interviewing in qualitative research will be utilised in order to explore the relationship between theory and methods.

The Sources and Construction of Quantitative Data (10 CATS)

The aim of the module is to provide a comprehensive overview of the theory and practice of measurement and constructing quantitative data in the social sciences. Through lectures and practical exercises, this module will provide students with relevant knowledge of secondary data sources and large datasets, their respective uses and usefulness, and their relevance for the study of contemporary social issues

Semester 2

Qualitative Data Analysis (10 CATS)

The module will provide students with an overview of different approaches to qualitative data analysis. It will include introductory training to this skill that includes such techniques as thematic analysis and discourse analysis, as well as computer assisted qualitative data analysis. It will provide the knowledge necessary for the informed use of the qualitative data analysis software package NVivo. The module gives students a base level introduction to the analytical and technical skills in qualitative data analysis appropriate to the production of a Master's dissertation and/or use of CAQDAS software for social science research purposes.

Quantitative Data Analysis: Foundational (10 CATS)

This module provides an introduction to the basics of quantitative data analysis. The module will begin with a brief review of basic univariate and bivariate statistical procedures as well as cover data manipulation techniques. The module is taught through a series of seminars and practical workshops. These two strands are interwoven within each teaching session. Please note that students may be granted an exemption from this module if they have already successfully completed a module that has the equivalent learning outcomes.

Quantitative Data Analysis: Intermediate (10 CATS)

This module advances students' confidence and knowledge in the use of SPSS. The module focuses on multivariate regression models, including the appropriate use and awareness of statistical assumptions underlying regression and the testing and refinement of such models.

Dissertation (60 CATS)

A dissertation of no more than 15,000 words on a topic relevant to social science research methods training. The thesis will involve either carrying out and reporting on a small social science research project which includes a full and considered description and discussion of the research methods employed or the discussion of a research issue or technique to a level appropriate for publication.

OPTIONAL MODULES (all 10 CATS)

We offer a range of advanced modules in quantitative and qualitative research methods, for example, logistic regression, internet-based research and visual research methods. We also provide specialist modules which reflect the teaching team’s diverse research interests, from the social logic of emotional life to conflict and change in divided societies. Optional modules generally run during the Spring semester and are offered subject to sufficient student demand and staff availability. Students will be able to choose a maximum of three to four option modules (depending on whether they need to complete Quantitative Data Analysis: Foundational). Please note that it is unlikely that all the following modules will be available for 2017/8. Please check with the Programme Director for queries about specific modules.

  • Advanced Qualitative Research Methods
  • Social Science Research Online
  • Visual Research Methods
  • Longitudinal Analysis
  • Advanced Quantitative Research Methods
  • Conflict and Change in Northern Ireland: New Sociological Research
  • Researching Emotions and Social Life
  • University Research and Civil Society Organisations


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This programme is distinctive in its commitment to provide training in both mainstream economics and heterodox alternative theories and methods, quantitative skills, and application to a variety of contemporary topics and global economic issues. Read more

MSc

This programme is distinctive in its commitment to provide training in both mainstream economics and heterodox alternative theories and methods, quantitative skills, and application to a variety of contemporary topics and global economic issues. This reflects one of our key institutional roles in leading the debates in political economy and pluralistic economics. It also places applied focus on policy engagements and their theory foundations, drawing on our strengths and expertise in those areas.

This programme will equip you with the specialist knowledge required by international employers in both the business and public sectors; as well as providing rigorous foundations for those who wish to go on to research in economics at the PhD level.

This programme is distinctive in its commitment to provide trainnig in both mainstream economics and heterodox alternative theories and methods, quantitative skills, and application to a variety of contemporary topics and global economic issues. This reflects one of our key institutional roles in leading the debates in political economy and pluralistic economics. It also places applied focus on policy engagements and their theory foundations, drawing on our strenghts and expertise in those areas.

This programme will equip you with the specialist knowledge required by international employers in both the business and public sectors; as well as providing rigorous foundations for those who wish to go on to do research in economics at the PhD level.

Graduate Diploma

This one-year diploma is administered by the Department of Economics and provides students with a solid understanding of the main topics in economics. It is a programme largely at an undergraduate level, designed both as an entry qualification for postgraduate study and as a bridge between undergraduate and postgraduate work.

The programme is suitable as a standalone qualification for those wishing to change their career path or develop within their present profession. Alternatively, the Diploma acts as a conversion course for students without previous economics training who wish to take an MSc programme in Economics.

The programme is offered on a full-time basis, over a period of nine months commencing in early September with a three weeks long pre-sessional. Subsequently, students take four courses: Microeconomic Analysis, Macroeconomic Analysis, Quantitative Techniques in Economics OR Econometrics, and EITHER Issues in Economic Development OR International Economics OR Banking and Finance. Assessment is in the form of written examinations and course work. Completion of the Graduate Diploma at an acceptable level allows students to take one of the MScs in Economics in the following year.

The Graduate Diploma may also be taken on a part-time basis over two years. Students undertaking the programme on that basis must take Microeconomic Analysis and Quantitative Techniques in Economics OR Econometrics in the first year, and take Macroeconomic Analysis and EITHER Issues in Economic Development OR International Economics OR Banking and Finance in the second year. The pre-sessional in September requires full-time attendance.

The entry requirements are normally a first or upper second class honours degree (or equivalent). Other relevant experience, including good qualifications in a less relevant subject area may be considered. Applicants can apply using the postgraduate online application form. online application form (http://www.soas.ac.uk/admissions/pg/howtoapply/).

Visit the website http://www.soas.ac.uk/economics/programmes/dipecon/

Pre-sessional (Preliminary Economic Analysis)

The aim of Preliminary Economic Analysis is to provide a condensed introduction to the fundamental concepts of micro- and macroeconomics. It is designed to give students a rigorous, systematic and comprehensive overview of basic microeconomic and macroeconomic theory. Through the introduction and analysis of theoretical concepts, ideas and techniques, it provides the necessary background for students to successfully complete the Diploma courses Microeconomic Analysis and Macroeconomic Analysis. Please go to Preliminary Economic Analysis for further detail (http://www.soas.ac.uk/courseunits/153400091.html).

Programme Specification

Graduate Diploma Programme specification (pdf; 151kb) (http://www.soas.ac.uk/economics/programmes/dipecon/file76402.pdf)

Full Time Study

All students are required to take and pass the following four courses which are taught in a combination of lectures and small class tutorials:

1. Microeconomic Analysis (Diploma) (153400131)
2. Macroeconomic Analysis (Diploma) (153400132)
3. ONE of the following optional modules:

Quantitative Techniques (153400116)
OR
Econometrics (153400103)

4. ONE of the following optional modules:
Issues in Development Economics (Diploma) (153400118)
OR
International Economics (Diploma) (153400117)
OR
Banking and Finance (Diploma) (153400122)

Part Time Study

The Graduate Diploma may also be taken on a part-time basis over two years. Students undertaking the programme of that basis must take Microeconomic Analysis and Quantitative Techniques in Economics or Econometrics in the first year, and take Macroeconomic Analysis and EITHER Issues in Economic Development OR International Economics OR Banking and Finance in the second year.

Microeconomic Analysis, Macroeconomic Analysis, Issues in Economic Development, International Economics and Banking and Finance are assessed by written examination (80%) and assessed coursework (20%). Quantitative Techniques and Econometrics are assessed by written examination (100%). Three-hour written examinations are held in May/June. There is no assessment for Preliminary Economic Analysis.

Find out how to apply here - http://www.soas.ac.uk/economics/programmes/dipecon/

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We are pleased to offer our PG Cert which has some of the same features as the MA, via distance learning, starting in September 2017. Read more

About the course

We are pleased to offer our PG Cert which has some of the same features as the MA, via distance learning, starting in September 2017. 

Intelligence and security policy issues are now one of the fastest growing areas of academic and public concern, especially since '9/11' and the wars in Iraq and Afghanistan. Today more than ever before national governments, international agencies and most major international corporations have an identified need for staff with a strong grasp of intelligence and security issues who can also demonstrate first-rate skills of research and assessment.

Taught by the internationally respected scholars of the Brunel Centre for Intelligence and Security Studies, backed up where required by practitioner expertise, the PG Cert in Intelligence Analysis (by Distance Learning) offers a unique opportunity for practical, policy-oriented graduate study of intelligence issues applicable across the private and public sectors around the world.

Aims

To provide you with a systematic understanding of the role of intelligence policy and intelligence operations in national strategy and decision-making.

To provide you with a systematic and critical understanding of the role national intelligence institutions and their products have in the context of contemporary international history and politics.

To provide you with a systematic and critical understanding to the effectiveness of different methods of intelligence analysis to domains and applications of intelligence and introduce students to the core concepts of the cognitive process involved in intelligence analysis and associated cognitive errors and biases.

To provide general training in policy-oriented research and analytical skills.

Course Content

The PGcert consists of two compulsory modules. Modules can vary from year to year, but these offer a good idea of what we teach.

Intelligence Analysis Foundations, Methods and Applications:
This module examines the core concepts of the cognitive process involved in intelligence analysis and associated cognitive errors and biases, and promotes critical understanding to the effectiveness of different methods of intelligence analysis to domains and applications of intelligence. You will gain hands on experience in applying structured analytic techniques, quantitative methods, and traditional analysis methods. The module also draws lessons from other disciplines and examines the analytical implications of organisational aspects in intelligence. Throughout the module, you will undertake the Validation of Intelligence Scenarios and Analysis (VISA).
VISA is a scenario based intelligence analysis exercise covering open source intelligence collection plan, source evaluation and analytical techniques evaluation on contemporary case where denial and deception is potentially involved.

Contemporary Threats and Analytical Methodology:
This module hosts the Brunel Analytical Simulation Exercise (BASE).
BASE provides you with an opportunity to undertake a simulated intelligence analysis on a real-world subject. It is designed to emulate the interdepartmental assessment methods of the British Joint Intelligence Committee, and gives you a chance to apply hands-on analytical principles and methods learned abstractly in the other Intelligence Analysis taught courses.

Teaching

Thematic Video Lectures (TVLs) 
The thematic video lectures and reading materials will provide grounding in the theoretical, methodological and practical issues upon which good research in intelligence and security studies is conducted. It will focus on providing conceptual mapping to the subject. The Lecturer video interaction with students will be supported by well-structured lecture slides. This is to be followed by problem based learning where students engage in practical exercises, case studies, and simulations.

Multidisciplinary Teaching
The programme design enables students to examine intelligence analysis in multidisciplinary approach. Security Studies, Military History, Organisational Theories, Law, Cognitive Psychology and Probability together contribute to thorough and comprehensive approach to studying Intelligence.

Residential Week
Students join Brunel campus for one week, dedicated to supporting the teaching and assessment. During the Residential Week, you will benefit from live seminars and discussions with experts in the field.

Effective Interaction
Lecturers provide timely feedback on students’ regular short assignments, where they demonstrate understanding of key concepts and develop regular interaction with teaching team.
Peer-to-Peer review is an integral part of the online design, where students comment in their colleagues short assignments and engage in discussions. 
Lecturers have regular real-time online office hours, where they can engage with students in live discussions.
The Residential activities further supports the cohort atmosphere where students engage in joint academic and social events.

Online Resources
To further utilise the online platform, students learning will be supported by the use of specialised analysis software tools in intelligence and they will engage with multimedia material where possible. Moreover, students will have access – via the integrated online platform – to supportive teaching materials and workshops provided by Brunel Graduate School and the several units of Brunel Educational Excellence Centre.
Students will have access to Online Journals, E-Books, Digital Copies, and other online materials (such as government declassified documents).

Assessment

Intelligence Analysis Foundations, Methods and Applications

The module is assessed via three types of assignments. The first leg of assessment is a portfolio of short assignments to be submitted online and aims at engaging with the key readings on regular basis, getting regular feedback for lecturers, and interaction among students.
The second leg of assessment is to be conducted while you are on campus. The residential week consists of Workshops – involving presentations and exercises – that will be used as opportunities to ‘test-fly’ your arguments that you wish to make in your final essay in a setting of open discussion and challenge from your peers as well as academic staff.
Finally, you submit your final essays where you reflect on your learning throughout the module.

Contemporary Threats and Analytical Methodology - Brunel Analytical Simulation Exercise (BASE)
Brunel Analytical Simulation Exercise will involve you working in groups in a simulated joint, all-source intelligence assessment modelled on the actual joint assessment processes in the US and UK governments. You are assessed on a mixture of individual and group work.

Special Features

Brunel Centre for Intelligence and Security Studies (BCISS)
The Brunel Centre for Intelligence and Security Studies is Britain's first academic centre dedicated to intelligence scholarship and policy-analysis.
The Centre is an inter-disciplinary endeavour, and includes participation from some of the leading Brunel University London academics in the fields of cryptography, computer networking, imagery, economics and even law. Many of these experts already assist our teaching. As well, the centre benefits from the assistance, from time to time, of various officials of Her Majesty’s Government. The Intelligence Analysis PGCert, therefore, benefits from practitioner input and insight as well as instruction by leading international academics.

Flexible and Interactive Features:
Online office hours with lecturers
Timely feedback on students’ regular short assignments
Individual and team assignments
Use of multimedia materials and software resources in teaching and assessments
Pre-recorded lectures and materials are available throughout the week
Materials can be accessed via standard and Apple computer devices

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Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way, which emphasises career-ready skills that prepare students for work with data and quantitative analysis, or as suitable preparation for doctoral study. Read more

Based at the Manchester Metropolitan University Q-Step Centre in the Department of Sociology, this MSc approaches the study of quantitative methods in an innovative way, which emphasises career-ready skills that prepare students for work with data and quantitative analysis, or as suitable preparation for doctoral study.

The course focuses on the development and application of key quantitative methods and analytical techniques. It focuses on the use of quantitative methods within ‘real world’ contexts and a key aim is to develop graduates’ career-ready skills in this field.

About The Course

A range of quantitative techniques will be covered including multiple regression, multi-level modelling, questionnaire design and psychometric testing, quantitative evaluation, and data management. One unit, ‘Statistics in Practice’ explores knowledge exchange, mobilisation and achieving impact with research. There is a mixture of core units and specialist options. The course culminates in a placement based dissertation, in which students will produce a piece of research on behalf of one of our partner organisations. We will help you source your placement.



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The revolution in genetic mapping technology and the advent of whole genome sequences has turned quantitative genetics into one of the fastest growing areas of biology. Read more

The revolution in genetic mapping technology and the advent of whole genome sequences has turned quantitative genetics into one of the fastest growing areas of biology.

Quantitative Genetics & Genome Analysis is part of a suite of programmes offering specialist routes in Animal Breeding & Genetics, Evolutionary Genetics, or Human Complex Trait Genetics.

Based in the internationally renowned Institute of Evolutionary Biology, this MSc draws from the wealth of expertise available there, as well as the teaching, research expertise and facilities of Scotland’s Rural College, the University’s Centre for Molecular Medicine, the Medical Research Council’s Human Genetics Unit and the Roslin Institute (birthplace of Dolly the sheep).

Each year the syllabus is fine-tuned to suit current issues in evolutionary, plant, human and animal genetics.

Applicants who wish to select their area of specialisation during the programme should apply for this umbrella programme. Applicants with a preferred programme option should apply via the following links:

Programme structure

This programme consists of two semesters of taught courses followed by a research project, leading to a dissertation.

Compulsory courses

  • Population and Quantitative Genetics
  • Genetic Interpretation
  • Statistics and Data Analysis
  • Linkage and Association in Genome Analysis
  • Research Proposal
  • Dissertation

Option courses (selected according to degree specialisation):

  • Quantitative Genetic Models
  • Molecular Evolution
  • Genetics of Human Complex Traits
  • Animal Genetic Improvement
  • Functional Genomic Technologies
  • Molecular Phylogenetics
  • Bioinformatics
  • Evolutionary Quantitative Genetics

Career opportunities

You will develop the in-depth knowledge and specialised skills required to apply quantitative genetics theory to practical problems, in both the biomedical and animal science industries, and to undertake research in evolutionary genetics, population genetics and genome analysis.



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This innovative course has been designed to develop your ability to apply economic analysis to policy issues and business problems, which are often ambiguous and multi-faceted. Read more

This innovative course has been designed to develop your ability to apply economic analysis to policy issues and business problems, which are often ambiguous and multi-faceted. Although there is a strong theoretical core, the course focus of the course is very much on the practical application of economic techniques to problems, and on developing the ability to communicate the insights that economic analysis can provide.

The International Economic Policy and Analysis MSc programme was uniquely created (and has been maintained) in conjunction with the UK Government Economic Service (GES) since 2012.

The course aims to provide you with an in-depth knowledge and understanding of the latest developments in economics, with a focus on practical skills and development of the skills needed by a working economist. It is specifically aimed at those with a genuine interest in the application of economics to real-world situations.

As well as enhancing your ability to apply relevant economic principles in the support of policy and strategy development, the course aims to develop your ability to communicate complex issues to wide audiences, your awareness of significant sources of economic and financial data, the problems faced when carrying out policy evaluation and your capability for self-awareness and group working.

You will gain an understanding of the key concepts in economics that underpin public sector policy and business decision making. This includes the various scenarios where we explore opportunity cost, equilibrium and disequilibrium, strategic interaction, market failure and the related concept of externalities.

You'll develop your analytical skills by applying these concepts to current challenges that face the profession, at both macro and micro levels, and in both private and public sectors. This will provide you with the latest insights drawn from both the academic and practitioner arenas.

Students on this course benefit from free access to part of the material on the course reading list and an online subscription to Financial Times. In addition, you will get exposure to a global network of professional economists through a free student membership to the Society of Business Economists. 

Course structure

The following modules are indicative of what you will study on this course. You may choose one option module in addition to the core modules. 

Core modules

Option modules

Internships

All students on our full-time Business Masters courses can apply to undertake the PG/MBA Internship Programme, which forms part of the Reflective Practitioner Module.

The internship allows you to test drive a career and explore one of your career interests before you complete your Postgraduate studies!

Completing an 8-12 week accredited internship helps students gain invaluable work experience. This fantastic work experience can be taken in addition to option modules. Students are responsible for finding their own internship with the support of the Business Experience Team.

To express an interest in the module, students must submit a completed application form and a copy of their updated CV. This will give students membership a dedicated website that offers exclusive access to internship vacancies, one to-one CV guidance appointments, mock interviews, employability workshops and much more.

Students can apply to London-based organisations and have the flexibility to take their internship in the summer period or alongside their studies.

Every year we receive very positive feedback from both postgraduate students and employers and expect that the internship programme will continue to remain popular amongst our students.

Find out about postgraduate internships 

Career path

As an economics postgraduate, you can look forward to excellent career prospects. Our students have gone on to successful careers in government and consultancy as economic analysts, regulatory economists and market analysts. The strong international focus of the course provides an excellent opportunity to develop the knowledge and skills to pursue a career in multinational companies or international organisations. Many graduates return to their countries of origin and are employed in developing international business opportunities or government institutions, while other graduates develop their careers with international charities or other non-governmental organisations.

While this vocationally oriented course develops skills for devising and evaluating policies and strategies, rather than simply training academic economists, several of our recent graduates have also found that it has opened up opportunities for PhD study.



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The ICMA Centre’s financial engineering degree is highly respected by quantitative analysts and their employers. The credit crunch and subsequent events have emphasised the need to develop better pricing and better hedging models for all complex products. Read more

The ICMA Centre’s financial engineering degree is highly respected by quantitative analysts and their employers. The credit crunch and subsequent events have emphasised the need to develop better pricing and better hedging models for all complex products. The practical and quantitative skills that you will develop on the programme will equip you to meet this challenge.

Our compulsory modules provide a firm grounding in probability theory, stochastic calculus, derivatives pricing, quantitative and numerical methods, structuring products, volatility analysis, and the modelling of credit, equity, foreign exchange and interest rate derivatives. We also provide a thorough training in C++ and other programming tools.

Optional modules will allow you to focus on risk analysis, portfolio management, designing trading strategies or econometric analysis. This newly structured degree aims to further enhance the strong reputation of its precursor – the MSc in Financial Engineering and Quantitative Analysis, which was established back in 1999. A good background in mathematics is required for acceptance to this programme (see entry requirements below).

Highlights

  • A highly technical programme for those with strong mathematical skills
  • Gain knowledge of derivatives pricing tools and methods, as well as the use of programming languages like C++ and VBA
  • Designed with the support of industry practitioners to equip students with the skills and knowledge needed to succeed
  • Graduates are able to make an early contribution through the unique combination of hands-on, practical skills and the necessary underlying finance theory
  • Benefit from the combined expertise of both the ICMA Centre and the Department of Mathematics

Course structure

October – December: Part 1 Autumn Term

January: Part 1 Exams

January-April: Part 2 Spring Term

May – June: Part 2 Exams

June – August (12 month programme only): Part 3

August/Sep (12 month programme only): Part 3 Coursework deadlines

Course content

Part 1 compulsory modules

Part 2 compulsory modules

Part 2 optional modules

Students on the 9-month (12-month) programme can select 40 (20) credits from the following modules:

Part 3 optional modules

Optional modules

Students on the 12-months programme should take 20 credits from the following:

Learning options

Full-time: 9 months Full-time: 12 months

Students will be resident and undertake full-time study in the UK. Under both, the 9 and 12-month programmes students take compulsory and/or elective modules in Part 2.

The 12 month option involves taking an elective 20 credit module between July and August, which would also mean a 20 credit reduction in the number of taught modules taken in the spring term.

Careers

Many of our financial engineering graduates are now working as Quants in large London banks and other financial institutions. Others have pursued PhDs and have successful academic careers. Financial instruments are becoming ever more sophisticated, so graduates that understand complex modelling techniques are always in great demand. The high quantitative content of this programme opens many doors to a wide range of careers. You could structure and develop new debt or equity solutions to meet clients funding and hedging needs, or you could become a proprietary trader in exotic derivatives, or a software specialist or a quantitative analyst supporting the traders.

There are excellent opportunities on the buy-side, with hedge funds and investment institutions, as well as in investment banking and in software analytics. Opportunities in quantitative research, or with a rating agency, are among the many other attractive alternatives. Outside of mainstream banking and investment, you might also consider firms involved in commodity and energy trading, or the treasury divisions of leading multinationals and management consultancies.

Professional accreditation

ICMA Fixed Income Certificate

To obtain the requisite knowledge to pass the rigorous FIC exam, students are required to take the ICMA Centre Fixed Income Cash and Derivatives Markets module at Part 2. In order to receive the FIC certificate, students will need to register and pass the FIC exam through ICMA.



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This programme aims to. -Provide students with an intellectually challenging programme of study leading to an awareness of issues, themes and applications within the field of finance and investment management and associated subject fields, such as economics/international economics. Read more
This programme aims to:
-Provide students with an intellectually challenging programme of study leading to an awareness of issues, themes and applications within the field of finance and investment management and associated subject fields, such as economics/international economics
-Provide students with a programme of study which develops the academic skills and theoretical and empirical underpinnings appropriate to the study of finance, economics and investment management at Masters level
-Provide students with the knowledge and skills to identify suitable tools for the investigation of issues in areas such as investment analysis, fund/asset management, economics analysis and financial reporting
-Provide students with the necessary IT analytical skills which reinforce the theoretical and empirical underpinning of the programme. The students will learn quantitative methodology, to carry out quantitative analyses of relevant financial and economic problems

Why choose this course?

Enhance your career prospects with this unique Master's which will develop the analytical and evaluative skills essential for success within the field of finance and investment management.

The programme provides a coherent and intellectual learning experience, and supports the development of your critical understanding of the subject, allowing you to employ the tools of analysis used within that subject area.

Future career paths could include financial analyst, investment manager, securities’ analyst and portfolio manager. Alternatively, this programme offers a sound platform and preparation for doctoral research in the areas of accounting, finance and economics.

Additionally the programme echoes the Chartered Financial Analyst ® (CFA®) examinations, level one and level two, providing students with the opportunity to sit that body’s examinations on completion.

Careers

The programme will not only appeal to those who wish to pursue a professional qualification relevant to corporate analysis and financial intermediation, but also those wishing to enter the field of accounting, banking, economics and finance and corporate regulation.

Specific careers that may be appropriate include those of financial analyst, investment manager, securities’ analyst and portfolio manager.

It also facilitates the transition to a doctoral degree.

Structure

Core Modules
-Asset Valuation
-Dissertation: MSc Finance and Investment Management
-Financial Data Analysis
-Financial Economics 1
-Financial Economics 2
-Financial Markets (FIM)
-Financial Statement Analysis 1
-Financial Statement Analysis 2
-Quantitative Analysis
-Research Methods: MSc Finance and Investment Management

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