• Jacobs University Bremen gGmbH Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • University of Leeds Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Aberystwyth University Featured Masters Courses

Postgrad LIVE! Study Fair

Birmingham | Bristol | Sheffield | Liverpool | Edinburgh

University College London Featured Masters Courses
University of Cambridge Featured Masters Courses
Cranfield University Featured Masters Courses
Nottingham Trent University Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
"asset" AND "price"×
0 miles

Masters Degrees (Asset Price)

We have 9 Masters Degrees (Asset Price)

  • "asset" AND "price" ×
  • clear all
Showing 1 to 9 of 9
Order by 
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.



Read less
You will be provided with rigorous training in the analysis of issues in finance and corporate policy while improving your analytical and technical expertise. Read more
You will be provided with rigorous training in the analysis of issues in finance and corporate policy while improving your analytical and technical expertise. The programme is ideal for those whose career objectives lie broadly with the financial services and banking sectors. You will have the opportunity to gain an in depth grounding with core courses such as Foundations in Finance, Corporate Finance and Quantitative Methods in Finance, and subsequently tailor your programme to match your end goals through the range of optional courses on offer. These include Fixed Income Securities and Derivatives, Investment and Portfolio Management and Decision Theory and Behaviour amongst others.

You will be taught by a top-ranking Department of Economics with expertise in a broad range of areas, including people who have worked and are still working in the finance industry in the broad areas of asset allocation and risk, as well as algorithmic trading.

With a relatively small intake each year you will benefit from a strong sense of group identity and will enjoy close contact with the academic staff of the department. The course director and course coordinators serve as your personal advisors up until the spring, when you will then be assigned a personal dissertation supervisor.

The MSc Finance is an excellent preparation both for a career in the financial services, banking and business sectors and policy making, as well further academic study.

See the website https://www.royalholloway.ac.uk/economics/coursefinder/mscfinance.aspx

Why choose this course?

- The course offers an excellent opportunity to get a strong grounding in core areas of Finance and to specialise your knowledge further through the optional courses on offer.

-You will be taught by academics who produce world leading research some of whom are also currently working in the Finance and Banking sectors. In the 2008 Research Assessment Exercise we were ranked among the top 10 Economics Departments in the UK

- Students attend a two week pre-sessional quantitative methods course to ensure they are in a good position to start this challenging Masters courses

- The Department of Economics at Royal Holloway is unique in being a young department, created in 1995, in an established and prestigious college of the University of London.

- Our courses are small and select, thus ensuring that you will receive individual attention from the academic staff.

Department research and industry highlights

Economics is among the top departments in the UK for Research Excellence. In the 2008 Research Assessment Exercise (RAE), 80% of the Department's research submitted was ranked as world-leading or internationally excellent (rated 3* and 4*).

A recent analysis of the 2008 Research Assessment Exercise (RAE) shows that the Economics Department at Royal Holloway is ranked 8th best department in the UK for publications. The study by Jim Taylor and Ian Walker provides further insight into the research standing of UK economics departments. Previous rankings from the data already showed the Department in the top 10 in the UK.

We run a weekly Internal Seminar which provides a lively forum for work at an early stage of development. Our External Seminar Series runs weekly during term and during the last academic year, welcomed over 20 external speakers from prominent places. Invitees are the usual mixture of established names and newer entrants to the profession thought to be doing exciting work. Our Discussion Paper Series provides a forum for journal-ready work.

Course content and structure

You will study five core course units and, in addition, a mathematics refresher course and a dissertation, as well as choosing two elective course units.

Core course units:
- Pre-sessional mathematics refresher course
All students attend the compulsory pre-sessional mathematics refresher course, which runs for 2 weeks in September, before the start of term. There are no additional fees for this course however students will need to pay for accommodation for the period of this course.

- Corporate Finance
You will be introduced to the techniques of financial analysis and their applications to corporate finance. The concepts developed form the foundation of most elective finance course units. You will learn about the time value of money and the net present value rule, how to value financial assets, capital budgeting decisions, uncertainty and the risk-return trade-off and corporate governance.

- Quantitative Methods in Finance
This course unit will introduce you to mathematical statistics and theories that are applied in financial econometrics. The second half of the unit concerns the analysis of time series data including ARMA models, the analysis of non-stationary time series data, cointegration analysis, vector autoregressive models, modelling volatility in asset returns, forecasting and bootstrapping.

- Foundations of Finance
The course unit in finance will expose you to the structure of the financial markets, the instruments traded and the participants. You will be provided with the necessary tools with which to analyse how the financial markets function and how problems arise from their operations.

- Research Methods
While conducting research sounds like an easy task, it can present difficulties. This unit aims to help you avoid such traps and to assist you in developing strong research skills so that you can conduct an efficient piece of research at the end of your degree.

- Dissertation
The dissertation gives you the opportunity to analyse an economics issue in depth. You will be assigned a dissertation supervisor and, by the end of March, will submit a preliminary dissertation report that contains a clear statement of the problem under consideration, the structure of the project and the research methods that are going to be applied. The dissertation is then written over the summer.

Elective course units:
- Fixed Income Securities and Derivatives
You will gain an introduction to the alternative forms of financial assets that are traded in addition to stocks. Fixed income securities are bonds, bills and notes that offer a certain stream of income to holders. Derivatives are contingent and non-contingent claims on financial assets and are widely used for hedging risk. You will learn how to price these assets, and how to use them effectively in managing portfolios and hedging risk.

- Empirical Finance
The broad aims of this unit are to give you advanced-level training in evaluation of empirical models in finance. It will enable you to apply both quantitative techniques and qualitative methods, learnt elsewhere, to test theories and get acquainted with the existing literature in the field of finance.

- Investment and Portfolio Management
Underlying theory and empirical evidence in portfolio management will familiarise you with its practice in the finance sector. You will acquire an understanding of how funds are allocated when constructing a portfolio.

- Decision Theory and Behaviour
This course unit will deepen your knowledge of rational decision making through the exploration of behavioural models, their formalization and their scope, including applications to finance. You will also become familiarized with both theoretical and experimental methods for research in decision theory and behavioural economics.

- Public Economics
Public Economics is concerned with the study of the effects of government policy and the design of optimal policies. You will assess the implications of basic welfare economics in public policy. A number of recent research areas in public economics are then discussed including income taxation, tax evasion, externalities and social security.

- Political Economy
This course will provide an advanced treatment of the tools used in political economy to tackle some major questions faced by public sector economists. It will in particular focus on the modelling of voters and politicians’ behaviours to address the role played by incentives and constraints faced by politicians when choosing public policies. The effect of different forms of institutional arrangements on public decision making and electoral accountability will be analysed from both a theoretical and empirical perspective.

Assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different economics-related areas, including careers as economists, financial analysts, accountants, bankers, journalists and business analysts. Our graduates are currently working for firms such as Accenture, TNS, RBS, Deloitte, and Baker and McKenzie. At the same time, this course also equips you with a solid foundation for continued PhD studies. Your careers ambitions are supported by our College Careers Service, located right next door to the economics department. They offer application and interview coaching, career strategy discussions, and the opportunity to network with major finance employers on campus. Our careers service is provided by the Careers Group, the main provider of graduate recruitment services in London. Thus, you will have additional access to a wealth of presentations and networking opportunities which make the most of London’s financial centre.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online.

Read less
Programme overview. The Advanced Master in Quantitative Finance offers prospective students a rich curriculum combining finance, statistics, econometrics, programming and mathematics. Read more

Programme overview

The Advanced Master in Quantitative Finance offers prospective students a rich curriculum combining finance, statistics, econometrics, programming and mathematics. This Master guarantees a full coverage of financial disciplines, such as asset and derivative pricing, numerical methods and programming skills. This advanced course work is designed for students with a quantitative background, obtained either from recent education or through professional experience.

Programme objectives

The main objective of this master is to train a new generation of quants. You will gain cutting-edge knowledge in quantitative finance and will learn how to apply it to real-life problems.

You will not only be exposed to up-to-date models, but you will also understand their advantages and limitations, both in theory and in practice.

By the end of the year, you will be able to:

• Become an analyst and/or manager in a quant group

• Price equities and bonds

• Construct and programme structured products

• Perform tail-risk analysis

• Extract information from massive databases

• Understand and trade in complex derivative products such as volatility derivatives

Job opportunities

The obvious companies for such profiles are large financial institutions, private banking, and hedge funds, seeking to fulfil positions like quant team member, risk manager, quant analyst/risk modeller, asset liability manager, derivatives specialist, financial supervisor and product structure.

Geographically, job opportunities are not only concentrated to Europe, in particular London, Paris, Amsterdam, Frankfurt, and Zurich, but are extended to the rest of the world (e.g. Singapore, Hong Kong and New York).

However, to successfully grow in your professional life and make the right choices for your career, it is fundamental to define your goals and have the tools to achieve them. The Solvay Brussels School’s career service will help you in building your career thanks to its strong connection with the business sector and to its dynamic team who will accompany each participant into the professional world. From self-assessment to networking opportunities, our team will assist participants to realise their full potential. Through a full range of seminars, coaching sessions, workshops, events and other resources, we help our participants to discover the career path best suited to their personal fulfilment.

Interested? Visit http://am.solvay.edu/quantitative-finance/

Application Deadline

> Non-EU students: May 31st 2018 (recommendation related to visa procedures)

> EU students: July 15th 2018



Read less
This exciting and challenging programme studies how data can be utilised to solve major business and societal challenges. The programme provides students with the knowledge, technical ability and skills for leadership roles in the fields of business analytics and data science. Read more

This exciting and challenging programme studies how data can be utilised to solve major business and societal challenges. The programme provides students with the knowledge, technical ability and skills for leadership roles in the fields of business analytics and data science.

About this degree

The programme is designed to give students multidisciplinary skills in computing (i.e. programming, big data), analytics (i.e. data mining, machine learning, computational statistics, complexity), and business analysis. Emphasis will be on business problem framing, leveraging data as a strategic asset, and communicating complex analytical results to stakeholders.

Students undertake modules to the value of 180 credits.

The programme consists of three core modules (45 credits), four or five optional modules (60 to 75 credits), up to one elective module (15 credits) and a dissertation (60 credits).

Core modules

  • Business Strategy and Analytics (15 credits)
  • Data Analytics (15 credits)
  • Programming for Business Analytics (15 credits)

Optional modules

Students must choose a minimum of 60 and a maxuimum of 75 credits from Optional modules. A maximum of 15 credits may be taken from Electives.

  • Consulting Psychology (15 credits)
  • Consumer Behaviour (15 credits)
  • Data Science for Spatial Systems (15 credits)
  • Decision and Risk (15 credits)
  • Decision and Risk Analysis (15 credits)
  • Group Mini Project: Digital Visualisation (30 credits)
  • Introduction to Machine Learning (15 credits)
  • Mastering Entrepreneurship (15 credits)
  • Statistical Design of Investigations (15 credits)
  • Statistical Models and Data Analysis (15 credits)
  • Talent Management (15 credits)
  • Urban Simulation (15 credits)
  • Web Economics (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

A list of acceptable elective modules is available on the Departmental page.

Dissertation/report

During the summer students will undertake a work placement with a UCL industrial partner. The research and data analysis conducted during this placement will form the basis of a 10,000-word dissertation.

Teaching and learning

The programme is delivered through a combination of lectures by world-class academics and industry leaders, seminars, workshops, tutorials and project work. The programme comprises two terms of taught material, followed by examinations and then a project. Assessment is through unseen written examinations, coursework and the dissertation. 

Further details are available on UCL Computer Science website.

Further information on modules and degree structure is available on the department website: Business Analytics (with specialisation in Computer Science) MSc

Careers

Graduates of UCL Computer Science are particularly valued due to the department's international status and strong reputation for leading research. Recent graduate destinations include such companies as: IBM, Samsung, Microsoft, Price Waterhouse Coopers, Citibank.

Employability

This programme is designed to satisfy the need, both nationally and internationally, for exceptional data scientists and analysts. Graduates will be highly employable in global companies and high-growth businesses, finance and banking organisations, major retail and service companies, and consulting firms. They will be equipped to influence strategy and decision-making, and be able to drive business performance by transforming data into a powerful and predictive strategic asset. We expect our graduates to progress to leading and influential positions in industry.

Why study this degree at UCL?

UCL Computer Science is a global leader in research in experimental computer science. The department scored highest among UK universities for the quality of research in Computer Science and Informatics in the Research Excellence Framework (REF2014), with 96% regarded as 'world-leading' or 'internationally excellent'.

The department consists of a team of world-class academics specialising in big data, computational statistics, machine learning and complexity.

The programme aims to create the next generation of outstanding academics and industry pioneers, who will use data analysis to deliver real social and business impact.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Computer Science

96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



Read less
The MSc in Financial Services is a one-year full-time programme of study designed to equip students with the careful balance of academic knowledge and technical skills that are required for more high value-added positions available in the financial services industry in Ireland and abroad. Read more
The MSc in Financial Services is a one-year full-time programme of study designed to equip students with the careful balance of academic knowledge and technical skills that are required for more high value-added positions available in the financial services industry in Ireland and abroad.

Our graduates have found successful careers in the global finance industry as:

Financial Analyst
Risk Analyst
Credit Derivatives Analyst
Systems Specialist
Futures Trader
Price & Evaluations
Compliance Officer
Risk Manager
Asset Manager
Academic Researchers

Although primarily intended for business graduates, including recent graduates working in the financial services industry, the MSc will also appeal to graduates from quantitatively-oriented disciplines, such as engineering and the mathematical sciences, who have prior relevant training and/or academic knowledge in the field of financial services. The unique combination of subjects offered in the MSc facilitates subsequent professional accreditation within the international financial services industry.

We have pioneered the practical use of trading simulation within the University sector. This allows our students to actively manage a portfolio of stocks, bonds, futures and derivative instruments. This experience has given our students a significant advantage in understanding the dynamics of the marketplace.

Read less
In recent years, finance has been one of the areas where high-calibre mathematicians have been in great demand. Read more
In recent years, finance has been one of the areas where high-calibre mathematicians have been in great demand. With the advent of powerful and yet economically accessible computing, online trading has become a common activity, but many have realised that a certain amount of mathematics is necessary to be successful in such fields.

One of our most popular courses, MSc Mathematics and Finance allows those with a background in mathematics to study finance. Since finance routinely involves modelling and evaluating risk, asset pricing and price forecasting, mathematics has become an indispensable tool for this study.

You explore topics including:
-Models and mathematics in portfolio management
-Risk management in modern banking
-Financial modelling
-Actuarial modelling
-Applied statistics

Our interdisciplinary research recognises that mathematics, including what can be very abstract mathematics, is an essential part of research in many other disciplines.

Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

This course can also be studied to a PGDip level - for more information, please view this web-page: http://www.essex.ac.uk/courses/details.aspx?mastercourse=PG00610&subgroup=2

Our expert staff

Our Department of Mathematical Sciences is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

Our staff have published several well-regarded text books and are world leaders in their individual specialisms, with their papers appearing in learned journals like Communications in Algebra, Studia Logica, International Journal of Algebra and Computation, SIAM Journal in Optimization, IEEE Evolutionary Computation, Computers and Operations Research, Ecology, Journal of Mathematical Biology, and Journal of Statistical Applications in Genetics and Molecular Biology.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We host regular events and seminars throughout the year
-Our students run a lively Mathematics Society, an active and social group where you can explore your interest in your subject with other students

Your future

There is undoubtedly a shortage of mathematicians in general, and an even greater one of those with knowledge of finance.

Our course produces graduates with a sound background in mathematics and finance. Key employability skills include computing, use of algorithms, data analysis, mathematical modelling and understanding financial statements.

Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other sectors.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation
-Research Methods
-Financial Modelling
-Mathematics of Portfolios
-Research Methods in Finance: Empirical Methods in Finance
-Stochastic Processes
-Applied Statistics (optional)
-Bank Strategy and Risk (optional)
-Bayesian Computational Statistics (optional)
-Combinatorial Optimisation (optional)
-Derivative Securities (optional)
-Economics of Financial Markets (optional)
-Financial Derivatives (optional)
-Ordinary Differential Equations (optional)
-Partial Differential Equations (optional)
-Statistical Methods (optional)
-Metric Spaces

Read less
The HMKW master program. M.A. International Marketing and Media Management. conveys analytical, producing and consultancy oriented competences, which are needed urgently in our service and knowledge based economic system, spurred by accelerating digital transformations and growing transnational interconnections. Read more

The HMKW master program M.A. International Marketing and Media Management conveys analytical, producing and consultancy oriented competences, which are needed urgently in our service and knowledge based economic system, spurred by accelerating digital transformations and growing transnational interconnections. All master programs at HMKW offer interdisciplinary mandatory elective modules as a general foundation. Subject-specific modules to deepen and develop your career skills will be built upon these. The interdisciplinary foundation is made up of modules in legal, technological and psychological subject areas. These modules convey essential competencies for the professionalization of your work with the media. In the subject-specific modules, the master program M.A. International Marketing and Media Management conveys Marketing and Management Basics and then further focusses on Media Management as well as Marketing and Media Intelligence subjects.

Overview

Location and language

The program is taught in English at HMKW Berlin and taught in German at HMKW Cologne and HMKW Frankfurt (Level B2 of the Common European Framework of Reference for Languages, CEFR required).

Features

Specializing in theory and practice of marketing and media management,with an analytical and consultancy oriented perspective that is highly relevant for the job market

Learning outcomes

Ability to analyse and solve issues related to industrial, organizational and managerial processes from a marketing and media management standpoint, within a research or practitioner/consultancy context.

Modules

General modules (selection of the optional subjects)

-Media Law

-Media Asset Management

-Media Psychology

-Intercultural Management

Specific modules (selection)

• Classical Marketing Communication

• Online Marketing Communication

• Consumer Behavior

• Price and Sales Management

• Market Research

• Media Management & Economics

• Emerging Media Markets

• Digital Transformation

Tuition fees

Full-time: € 670,– monthly Part-time: € 449,– monthly

Please find more information in our flyer: http://www.hmkw.de/fileadmin/media/downloads/pdfs/infoflyer-studiengaenge_master/HMKW_Master_International_Marketing_and_Media_Management_EN.pdf



Read less

  • 1
Show 10 15 30 per page



Cookie Policy    X