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.
We have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams.
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.
The Finance Zone
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.
The winner will also enter the competition for the prestigious WCIB Lombard Prize .
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.
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:
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>>
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
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.
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.
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
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/
> Non-EU students: May 31st 2018 (recommendation related to visa procedures)
> EU students: July 15th 2018
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.
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).
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.
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.
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
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.
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.
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.
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.
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.
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).
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
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.
General modules (selection of the optional subjects)
-Media Asset 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
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