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Masters Degrees (Financial Engineering)

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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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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.

Related links

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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Financial engineering involves the creation of financial products that are aimed specifically at the needs of investors, rather than the conventional approach of defining assets on the basis of borrowers' requirements. Read more
Financial engineering involves the creation of financial products that are aimed specifically at the needs of investors, rather than the conventional approach of defining assets on the basis of borrowers' requirements. Central to Financial Engineering are relative value (sometimes called arbitrage) trading strategies and the structuring of financial products, and the closely associated process of securitisation. Structuring involves the transformation of cash flows derived from an asset and improving the risk profile of the structured product. The contemporary derivative markets are driven by the process structuring, both in terms of transforming cash flows through “swaps” and credit enhancement through credit derivatives.

The programme aims to develop the skills and knowledge required by the modern investment and asset management industry where relative value trading strategies and structuring dominate. The emphasis is on developing a range of practical skills rather than develop an abstract "theory of everything". This reflects the need for practitioners to be able to employ different techniques in the ever changing world of contemporary finance.

The material is based substantially on the PRIMIA syllabus for risk management and the Actuarial Profession’s Specialist Technical (ST) syllabus to value and manage the risks associated with a portfolios of derivatives.

The taught component of the degree makes up 120 credits. There are seven mandatory courses leading to 75 credits and consisting of:

• Enterprise Risk Management (15 credits, Semesters 1) - a comprehensive treatment of Financial Risk Management focusing on quantitative aspects.

• Derivative Markets and Pricing (15 credits, Semester 1) - an introduction to derivative markets and how derivative products are priced.

• Modelling and Tools (15 credits, Semester 2) - the fundamental techniques of deterministic and probabilistic mathematical modelling.

• Financial Engineering (15 credits, Semester 2) - provides a thorough grounding in the mathematics underpinning Financial Engineering. Topics include non-standard derivatives, securitisation and structuring, modelling interest rates (including Libor Market Models and valuing swaptions) and contemporary issues in asset management (relative value and pairs trading strategies).

• Credit Risk Modelling (15 credits, Semester 2) - a detailed treatment of the mathematics underpinning Basel Accord on banking supervision and Solvency II for insurance.

Students will also choose three of the following five optional courses leading to a further 45 credits

• Statistical Methods (15 credits, Semester 1) - a foundation course in probability and statistics.

• Financial markets (15 credits, Semester 1) - an introduction to the financial markets.

• Time Series Analysis and Financial Econometrics (15 credits, Semester 2) - analysis and modelling of financial data.

• Modern Portfolio Theory (15 credits, Semester 2) - classical portfolio theory based on maximising expected utility

• Bayesian Inference & Computational Methods (15 credits, Semester 2) - a course on modern Bayesian statistical inference and involving implementing the Bayesian approach in practical situations

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How can we prevent another financial crisis? Is it by better understanding risk in financial securities? Can improving the way we measure and manage risk create stability in the financial world?. Read more
How can we prevent another financial crisis? Is it by better understanding risk in financial securities? Can improving the way we measure and manage risk create stability in the financial world?

The after effects of the 2008 financial meltdown are still being felt across the globe. We need knowledgeable financial professionals who can evaluate risk, act rationally and understand the economic impact of their actions in order to find solutions. If you can rise to the challenge of making ethical, sound financial decisions in pressurised environments, MSc Financial Engineering and Risk Management is for you.

You follow advanced, contemporary study in financial engineering and risk management and develop a deeper understanding of the risks within modern financial securities. You also become skilled in the design of robust management systems to measure risk. Upon graduation, you should possess the skills and knowledge for a successful career in commercial, investment and central banks, hedge funds, regulatory authorities and rating agencies.

You master areas including:
-Asset pricing
-Derivative securities
-Financial modelling
-Mathematical research techniques using Matlab

MSc Financial Engineering and Risk Management is taught at Essex Business School, home to one of the largest, and most respected, finance groups in the UK. Our teaching is grounded in contemporary issues and professional practice, supported by industry-standard facilities, such as our Bloomberg virtual trading floor.

We’re ranked in the top 25 in the UK for research excellence (REF 2014) and are home to an international community of scholars, practitioners and academics; our current Masters students join us from more than 40 countries.

This course is also available to study part-time and you may be able to apply for scholarships and discounts offered by the University of Essex. Essex Business School also offers a limited number of scholarships for the CFA level one exam and IMC level one and two exams to exceptional Masters students.

Essex Business School is an IMC Advantage Partner and a Recognised Partner of the CFA.

Postgraduate loans for Masters courses are now available from the Student Loans Company, worth up to £10,000, for students from the UK and EU.

Our expert staff

We’re home to Essex Finance Centre, which produces research at the cutting-edge of financial debate.

Work by our expert staff has been discussed in the Bank of England, the European Central Bank and the Federal Reserve, so you join a business school that seeks to make a real difference to solving financial challenges around the world.

We combine academic experience with industry expertise and are renowned for research into:
-Business ethics and corporate social responsibility
-Organisation studies
-Leadership and strategy
-Finance and banking
-Risk management
-International management

Specialist facilities

You’re based at our Colchester Campus, in our landmark zero carbon building.

Our Colchester home is an example of our dedication to sustainable and ethical business practices. Its design is both environmentally friendly and architecturally stunning, with a winter garden and sun terrace contributing to the building’s own micro-climate and providing a tranquil environment for group working and socialising. Our Bonds café is located on site, making a great space for reviewing course notes before lectures.

Our virtual trading floor, complete with Bloomberg Financial Market Labs, enables you to practice dealing stocks and securities using industry-standard equipment. You can also benefit from our study skills workshops, designed to help you excel in your academic work.

Our building is also located on the University’s Knowledge Gateway, providing potential opportunities to network with inspiring SMEs who locate their businesses on our Colchester Campus.

Your future

An Essex Business School education is founded on creativity, innovation and ethical awareness to prepare you for the challenges of the global marketplace. In 2015, 78% of our postgraduate taught students were in work or further study (DLHE).

Our course provides you with the opportunity to develop a career in financial analysis, management, public administration and accountancy, as well as fostering your entrepreneurial spirit.

We provide plenty of support along the way to help you secure your dream job. Our dedicated employability team work closely with the University’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Finance and Investment: Dissertation
-Finance Research Techniques Using Matlab
-Research Methods in Finance: Empirical Methods in Finance
-Postgraduate Mathematics Preparation
-Risk Management
-Financial Modelling
-Asset Pricing
-Derivative Securities
-Trading Global Financial Markets (optional)

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MSc Risk Management & Financial Engineering. is a highly quantitative programme tailored to high calibre and technically-minded graduates wanting a deeper, more analytical study of risk management and financial engineering than is found in general finance programmes. Read more

MSc Risk Management & Financial Engineering is a highly quantitative programme tailored to high calibre and technically-minded graduates wanting a deeper, more analytical study of risk management and financial engineering than is found in general finance programmes.

The programme is accredited by the Professional Risk Managers’ International Association (PRMIA) and the School offers students on this programme the opportunity to attend PRMIA events, have access to its resources and receive considerable discounts on PRMIA exams.

The programme

In September you will study five foundation modules to introduce the tools of modern finance and enhance your career development skills. These include:

• Markets and Securities

• Financial Modelling

• Application of Matlab to Finance

• Data Structures and Algorithms using Python

• The Finance Industry

You’ll take eight core modules which are the backbone of our programme, providing you with a solid knowledge base in each subject area. Each module builds on previous experience while introducing new and challenging disciplines. These include:

• Empirical Finance: Methods and Applications

• Financial Engineering

• Financial Statistics

• Investments and Portfolio Management

• Risk Management and Valuation

• Stochastic Calculus

You will also receive training in Visual Basic for Applications (VBA), choose from a variety of electives and undertake a final project. The selection of electives include:

• Advanced Options Theory

• Credit Risk

• Advanced Financial Statistics

• Enterprise Risk Management

• Fixed Income Securities

• International Elective: Macro and Finance for Practitioners

• International Finance

• Insurance

• Structured Credit and Equity Products

• Private Equity and Venture Capital

• Wealth Management and Alternative Investments

• Topics in FinTech Innovation



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The MSc in Financial Engineering is delivered jointly by the Department of Mathematics and the Department of Economics and Related Studies. Read more
The MSc in Financial Engineering is delivered jointly by the Department of Mathematics and the Department of Economics and Related Studies.

This course is intended for candidates who want to combine rigorous study of relevant topics in applied and computational mathematics with econometrics and quantitative finance.

Candidates are expected to have an undergraduate degree with strong scientific (such as, for example, mathematics, statistics, engineering, physics, electronics) or finance/economics backgrounds.

Students graduating with an MSc degree in Financial Engineering will typically find quantitative finance jobs in the City and other financial institutions. Other possibilities include fund management, insurance, the actuarial profession, taxation, and continued study to PhD level.

Why study Financial Engineering at York?

-Experienced and enthusiastic lecturers from two departments, Mathematics and Economics, share their combined expertise with students.
-Coursework assignments throughout the course help students to develop transferable skills for the workplace.
-Rigorous and highly supportive dissertation supervision system.
-The course equips students with the skills and knowledge required for quantitative analysis in the financial industry.
-Every student is given an individual dissertation topic based on a recent development in mathematical finance.
-Independent external examiners regularly comment on the high standards of student work on the MSc programmes in both departments.
-Excellent research environment.

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2-year master's programme prepares specialists for financial sector, banking and insurance industries in quantitative methods of risk assessment and hedging, providing knowledge and skills in two major areas - financial engineering and insurance mathematics. Read more
2-year master's programme prepares specialists for financial sector, banking and insurance industries in quantitative methods of risk assessment and hedging, providing knowledge and skills in two major areas - financial engineering and insurance mathematics.

The ability to derive, implement and use correctly numerical procedures for computing various financial quantities is crucial for being successful in the field of quantitative finance. It is also helps to make better choices when buying an insurance policy or stock options.

Tuition waivers and stipends available!

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The rigorous training on our MSc Financial Computing focuses on software engineering for large, dynamic and automated financial systems and finance models. Read more
The rigorous training on our MSc Financial Computing focuses on software engineering for large, dynamic and automated financial systems and finance models. This, alongside work on software design in a number of real-world financial systems, will enable you to become a leader in this field.

This course should interest you if you have a good first degree in computer science or engineering, or a BSc degree that provided a high level of programming expertise such as C++ and/or .NET. You receive training on the structure, instruments and institutional aspects of financial markets, banking, payment and settlement systems.

You will attain a high level of competence in software development, in the area of financial computing, for implementation in an electronic market environment, as we introduce you to information and communication technology and automation that underpins financial systems, including:
-Design issues relating to parallel and distributed networks
-Encryption, security and real-time constraints
-Straight Through Processing (STP)
-Quantitative finance
-Financial software architecture

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.

Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

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

-CCFEA MSc Dissertation
-Big-Data for Computational Finance
-Cloud Technologies and Systems
-High Performance Computing
-Introduction to Financial Market Analysis
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Computer Security (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-E-Commerce Programming (optional)
-Financial Engineering and Risk Management (optional)
-High Frequency Finance and Empirical Market Microstructure (optional)
-IP Networking and Applications (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Mobile & Social Application Programming (optional)
-Programming in Python (optional)
-Industry Expert Lectures in Finance (optional)

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The global shortage of qualified civil engineers includes specialists in water engineering and this MSc programme helps redress this imbalance by providing graduates with an advanced knowledge and skill base to equip them for senior industry roles. Read more

About the course

The global shortage of qualified civil engineers includes specialists in water engineering and this MSc programme helps redress this imbalance by providing graduates with an advanced knowledge and skill base to equip them for senior industry roles.

Brunel’s MSc in Water Engineering is unique in providing specialist knowledge on the critical sub-topics of water and wastewater management and engineering, desalination systems, building water services engineering, industrial waste water management, and water in health care.

The programme demonstrates the links between theory and practice by including input from our industrial partners and through site visits. This is a key aspect for establishing a competitive and high added value course that provides adequate links with industry.

Features of the course include:

Students’ skills in gathering and understanding complex information from a variety of sources (including engineering, scientific and socio-economic information) will be developed in an advanced research methods module. 

Issues relating to risk and health and safety will be introduced in the research methods module and built on in specialist modules. 

Generic modules in financial and project management will underpin specialist modules focusing on water engineering topics.

Real problem-solving examples – starting from basic principles, to the identified problem, the solution, the implementation process and was implemented and the end result. 

Real case studies – demonstrating how environmental and economic sustainability is considered within civil engineering, particularly in water resources management.

Aims

Problems associated with water resources, access, distribution and quality are amongst the most important global issues in this century. Water quality and scarcity issues are being exacerbated by rising populations, economic growth and climate change*.

Brunel's programme in Water Engineering aims to develop world class and leading edge experts on water sustainability who are able to tackle the industry’s complex challenges at a senior level. During the programme you will also learn about the development and application of models that estimate the carbon and water footprint within the energy and food sector.

The MSc is delivered by experienced industry professionals who bring significant practical experience to the course – and the University’s complete suite of engineering facilities and world-class research experience are set up for development and engineering of advanced systems, testing a variety of processes, designs and software tools.

*Recent figures indicate that 1.1 billion people worldwide do not have access to clean drinking water, while 2.6 billion do not have adequate sanitation (source: WHO/UNICEF 2005). 

Course Content

The primary aim of this programme is to create master’s degree graduates with qualities and transferable skills for demanding employment in the water engineering sector. Graduates will have the independent learning ability required for continuing professional development and acquiring new skills at the highest level.

Specific aims are as follows:

- To provide education at postgraduate level in civil engineering. 
- To develop the versatility and depth to deal with new, complex and unusual challenges across a range of water engineering issues, drawing on an understanding of all aspects of water engineering principles. 
- To develop imagination, initiative and creativity to enable graduates to follow a successful engineering career with national and international companies and organisations. 
- To provide a pathway that will prepare graduates for successful careers including, where appropriate, progression to Chartered Engineer status.

The programme will provide opportunities for students to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:

Knowledge and understanding of:

- The principles of water engineering, including fluid mechanics, hydrology, and sustainable design. 
- Specialist areas that impact on the successful application of water engineering knowledge projects, e.g. sustainable construction management, financial management and risk analysis. 
- The interplay between engineering and sustainability in complex, real-world situations.

At the cognitive level students will be able to:

- Select, use and evaluate appropriate investigative techniques.
- Assemble and critically analyse relevant primary and secondary data.
- Recognise and assess the problems and critically evaluate solutions to challenges in managing water engineering projects.
- Evaluate the environmental and financial sustainability of current and potential civil engineering activities.

Personal and transferable skills that students develop will allow them to:

- Define and organise a substantial advanced investigation. 
- Select and employ appropriate advanced research methods. 
- Organise technical information into a concise, coherent document.
- Effectively employ a variety of communication styles aimed at different audiences. 
- Plan, manage, evaluate and orally-presented personal projects. 
- Work as part of, and lead, a team.

Typical Modules

Each taught module will count for 15 credits, approximating to 150 learning hours. The Master's programme can be taken full time, over 12 months. The first eight months of the full time course will eight taught modules. For the final four months, students will complete a dissertation counting for 60 credits. Modules cover:

Sustainable Project Management
GIS and Data Analysis
Water Infrastructure Engineering
Risk and Financial Management
Hydrology & Hydraulics
Water Treatment Engineering
Water Process Engineering
Research Methods
Civil Engineering Dissertation

Teaching

Our philosophy is to underpin theoretical aspects of the subject with hands-on experience in applying water engineering techniques. Although you may move on to project management and supervision roles, we feel it important that your knowledge is firmly based on an understanding of how things are done. To this end, industrial partners will provide guest lectures on specialist topics.

In addition to teaching, water engineering staff at Brunel are active researchers. This keeps us at the cutting edge of developments and, we hope, allows us to pass on our enthusiasm for the subject.

How many hours of study are involved?

Contact between students and academic staff is relatively high at around 20 hours per week to assist you in adjusting to university life. As the course progresses the number of contact hours is steadily reduced as you undertake more project-based work.

How will I be taught?

Lectures:
These provide a broad overview of the main concepts and ideas you need to understand and give you a framework on which to expand your knowledge by private study.
Laboratories:
Practicals are generally two- or three-hour sessions in which you can practise your observational and analytical skills, and develop a deeper understanding of theoretical concepts.
Design Studios:
In a studio you will work on individual and group projects with guidance from members of staff. You may be required to produce a design or develop a solution to an engineering problem. These sessions allow you to develop your intellectual ability and practice your teamwork skills.
Site visits:
Learning from real-world examples in an important part of the course. You will visit sites featuring a range of water engineering approaches and asked to evaluate what you see.
One-to-one:
On registration for the course you will be allocated a personal tutor who will be available to provide academic and pastoral support during your time at university. You will get one-to-one supervision on all project work.

Assessment

Several methods of assessment are employed on the course. There are written examinations and coursework. You will undertake projects, assignments, essays, laboratory work and short tests.

Project work is commonplace and is usually completed in groups to imitate the everyday experience in an engineering firm, where specialists must pool their talents to design a solution to a problem.

In this situation you can develop your management and leadership skills and ensure that all members of the group deliver their best. Group members share the mark gained, so it is up to each individual to get the most out of everyone else.

Special Features

Extensive facilities
Students can make the most of laboratory facilities which are extensive, modern and well equipped. We have recently made a major investment in our Joseph Bazalgette Laboratories which includes hydraulic testing laboratory equipment and facilities such as our open channel flow flumes.

Personal tutors
Although we recruit a large number of highly qualified students to our undergraduate, postgraduate and research degrees each year, we don’t forget that you are an individual. From the beginning of your time here, you are allocated a personal tutor who will guide you through academic and pastoral issues.

World-class research
The College is 'research intensive' – most of our academics are actively involved in cutting-edge research. Much of this research is undertaken with collaborators outside the University, including construction companies, water utilities, and other leading industrial firms. We work with universities in China, Poland, Egypt, Turkey, Italy, Denmark and Japan. This research is fed directly into our courses, providing a challenging investigative culture and ensuring that you are exposed to up-to-date and relevant material throughout your time at Brunel.

Strong industry links
We have excellent links with business and industry in the UK and overseas. This means:
Your degree is designed to meet the needs of industry and the marketplace.
The latest developments in the commercial world feed into your course.
You have greater choice and quality of professional placements.
We have more contacts to help you find a job when you graduate.

Visting Professors 
The Royal Academy of Engineering - UK’s national academy for engineering has appointed senior industrial engineers as visiting professors at Brunel University London.
The Visting Professors Scheme provides financial support for experienced industrial engineers to deliver face-to-face teaching and mentoring at a host of institutions. Our engineering undergraduates will benefit from an enhanced understanding of the role of engineering and the way it is practised, along with its challenges and demands. 

Women in Engineering and Computing Programme

Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.

Accreditation

This course has been designed in close consultation with the industry and is accredited as a designated 'technical' MSc degree by the Join Board of Moderators (JBM). The JBM is made up of Institution of Highways and Transport and the Institution of Highway Engineeres respectively.

1. This means this course provides Further Learning for a Chartered Engineer who holds a CEng accredited first degree (full JBM listing of accredited degrees).
2. As a designated ‘technical’ MSc, it will also allow suitable holders of an IEng accredited first degree to meet the educational base for a Chartered Engineer.

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Who is it for?. This postgraduate Project Management, Finance and Risk programme is for those pursuing or planning a career in managing the introduction of capital goods or applying the latest project management techniques to complex projects. Read more

Who is it for?

This postgraduate Project Management, Finance and Risk programme is for those pursuing or planning a career in managing the introduction of capital goods or applying the latest project management techniques to complex projects. It is particularly suited to students with a scientific or financial engineering background as we cover quantitative risk assessment in depth, which requires an aptitude for measuring and analysing data.

Objectives

Consider the risks contained within a project such as the Euro Tunnel. Two governments sponsoring the project and nine billion pounds of finance ring-fenced through a special purpose company to complete it. Will it be finished on time and will it secure the revenues to service the debt? These are the kinds of questions we address on this programme.

MSc Project Management, Finance and Risk gives you a foundation in quantitative risk assessment and decision-making under uncertain conditions, coupled with classical engineering economics and financial engineering.

From analysing indecision within games theory to rebuilding a country’s infrastructure, we explore the drivers in which businesses operate, and the challenges and opportunities that project managers face. Teaching is provided  by internal and external lecturers with expertise in the field. This is complemented by invited lectures from the Sir John Cass Business School, together with people from industry and the banking sector who bring in diverse skill sets and the ability to solve complex problems.

Placements

There is no formal requirement to do an industry-based placement as part of the programme. However, some students arrange to undertake their final project within a company.

Teaching and learning

As well as lectures, you learn through tutorial support, guided private study, coordinating group activities, and coursework. Not every module has an exam and in some cases you will be assessed through a module project.

Full-time students complete the programme in one year and we expect you to devote a significant part of the non-taught hours to project work, group activities, as well as your own independent study. The duration of a part-time programme is two years (this may be extended to three years in individual cases.

Modules

There are four core modules and two electives. Out of the two electives you can choose from four or five topics including games theory, perspectives on management and leadership and entrepreneurship, innovations and enterprise.

You can also take part in a rolling programme of one-day events to build your communication and team-building skills while you study. These sessions cover topics including conducting research, improving your presentation skills and dealing with people.

The course is modular and each module lasts four days. The structure has been designed in this way so that both full and part-time students can follow the programme. In addition, the course offers practical skills in management, leadership, entrepreneurship, software and communications tools.

You are normally required to complete all the taught modules successfully before progressing to the dissertation.

A Prince 2 Project Management Practitioner’s Course will be offered to students in the summer term. This five-day course, paid for by the institution, is presented by an outside training agency. By successfully completing the course you will be awarded a coveted practitioner’s certificate.

Core modules

  • Managing Risk and Uncertainty (20 credits)
  • Optimisation and Decision Making (20 credits)
  • The Project Lifecycle 20 credits)
  • Financial Engineering and Project Planning (20 credits)
  • Workshops and Seminars (zero credits)
  • Introductory mathematics (zero credits)
  • Dissertation (60 credits)

Elective modules include

You will choose two elective modules.

  • Presenting Data (20 credits)
  • Perspectives on Management and Leadership (20 credits)
  • Supply Chain Management (20 credits)
  • Entrepreneurship, Innovations and Enterprise (20 credits)
  • Decision Sciences 1 - Complex Systems and Networks (20 credits)
  • Decision Sciences 2: Game Theory (20 credits)

Career prospects

Graduates completing the course will be prepared for a wide range of careers involving project management, risk management and financial planning. From banking to management and from engineering consultancies to the pharmaceuticals industry, this programme gives you diverse options when it comes to developing your career and being part of key decision-making processes.

If you want to work in infrastructure management and development, which involves management of supply chain and/or financial risks, the programme will be particularly relevant. Additionally, the course is ideal if you are planning a career in any of the following areas:

  • Capital goods
  • Management consultancy
  • Risk analysis in the pharmaceutical industry
  • Project management in the construction Industry
  • Investment banking
  • Banking analysis
  • Financial risk analysis
  • Real estate management
  • Marketing management
  • Aircraft engineering
  • Entrepreneurship

Students are supported by the Careers, Student Development & Outreach team who offer a professional, high quality careers and information service.



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This MSc programme builds on the success of our undergraduate Engineering with Business Finance programme and is designed to give graduates with a first degree in a relevant numerate subject the engineering, management and finance knowledge and skills necessary to work on engineering projects, and in business and finance. Read more

This MSc programme builds on the success of our undergraduate Engineering with Business Finance programme and is designed to give graduates with a first degree in a relevant numerate subject the engineering, management and finance knowledge and skills necessary to work on engineering projects, and in business and finance.

About this degree

Core engineering content concentrates on areas of new and emerging technologies and materials combined with modules in project management and financial markets and institutions. Students undertake two engineering projects (a group design project and an individual project) which integrate the knowledge acquired through the taught modules.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), two optional modules (30 credits), a group design project (30 credits) and the individual research project (60 credits).

Core modules

  • Materials and Fatigue
  • Project Management
  • Financial Institutions and Markets
  • New and Renewable Energy Systems

Optional modules

  • Advanced Computer Applications in Engineering
  • Vibration, Acoustics and Control
  • Compliance, Risk and Regulation
  • Entrepreneurial Finance
  • Numerical Analysis for Finance
  • Financial Engineering

Please note: Restrictions apply to selection of optional modules. Please visit the Departmental degree structure page for more information

Dissertation/report

All students undertake a group design project and an individual research project, both culminating in a substantial dissertation. The group project focuses on creativity and design, teamwork, project management and business planning and feasibility. The research project revolves around student research interests; it often has industry input and develops high-level presentation, critical thinking and research skills.

Teaching and learning

This dynamic programme is delivered through a combination of lectures, tutorials, seminars, laboratory and project work, workshops and problem classes, all of which frequently draw upon real-life industrial case studies. Assessment is through examinations, coursework, laboratory reports, presentations, the group design project and the individual research project.

Further information on modules and degree structure is available on the department website: Engineering with Finance MSc

Careers

Graduates of this programme will be well placed for a future career within engineering, project management, finance, investment banking or IT sector. For example, as part of the programme you will complete modules in project management and finance, utilise UCL’s virtual trading room that uses Reuters’ electronic platform and receive guidance on how to work toward recognised certifications for the financial industries. 

Recent career destinations for this degree

  • Analyst, J.P. Morgan
  • Assistant Management Accountant, Network Rail
  • Finance Intern, ZhongHui Futures
  • Mergers and Acquisitions Intern, First Capital Partners
  • Procurement Manager, Hellenic Army

Employability

The programme is delivered by leading researchers from across UCL, and students have plenty of opportunity to network and keep themselves informed about employment opportunities and skills required. Students are encouraged to participate in the UCL Financial Industry Series which organises high-impact conferences, debates and talks on financial topics, to pursue projects in industry and attend events organised by the UCL Finance community. Students also develop networks through the programme itself and through the department’s careers programme which includes employer-led events and individual coaching. This carefully designed programme is equipping our graduates with the skills and confidence needed to play a creative and leading role in the professional and research community.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

UCL Mechanical Engineering is a dynamic and vibrant place to study and do research. Located in central London it was the first mechanical engineering department in the UK. It has a long reputation for internationally leading research funded by numerous organisations and industry, and quality teaching.

The department benefits from state-of-the-art facilities and close links with industry, and has access to expertise in other disciplines, including engineering and management sciences within UCL.

The Engineering with Finance MSc has been accredited by the Institute of Mechanical Engineers (IMechE).

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: Mechanical Engineering

90%: Aeronautical, Mechanical, Chemical and Manufacturing Engineering subjects; 95%: General Engineering subjects 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.



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The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. Read more

Mission and goals

The objective of this programme of study is to prepare professionals able to deal with complex systems using sophisticated mathematical tools, yet with an engineering attitude. It harmonises a solid scientific background with a command of advanced methodologies and technologies. The programme is characterised by a continuous synergy between Applied Mathematics and Engineering disciplines- The students may choose among three specialisations:
- Computational Science and Engineering
- Applied Statistics
- Quantitative Finance

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

Career opportunities

The professional opportunities offered by this course are rather ample and varied: engineering consultancy companies that deal with complex computational problems; manufacturing or civil engineering companies where analyses based on the use of advanced mathematical tools are needed; banks, insurance companies and financial institutions making use of quantitative finance for risk analysis or forecast; companies that require statistical interpretation and the processing of complex data, or the simulation of different scenarios; public and private research institutes and laboratories.

Eligible students

Students holding a Bachelor degree in Mathematical Engineering, or in a related area with a solid background in the core disciplines of the programme, i.e. Applied Mathematics, Computer Science, Applied Physics or other Engineering disciplines are eligible for application. In particular, eligible students' past studies must include courses in different areas of Engineering (among Informatics, Economics & Business Organization, Electrotechnics, Automation, Electronics, Applied Physics, Civil Engineering) for at least 25% of the overall courses, as well as courses in different areas of Mathematics (Mathematical Analysis, Linear Algebra, Geometry, Probability, Statistics, Numerical Analysis, Optimization) for at least 33% of the overall courses.
The following tracks are available:
1. Computational Science and Engineering
2. Applied Statistics
3. Quantitative Finance

Eligible students must clearly specify the track they are applying for in their motivation letter.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Mathematical_Engineering.pdf
The Master of Science in Mathematical Engineering (MSME) aims to form an innovative and flexible professional profile, endowed with a wide spectrum of basic scientific notions and engineering principles, together with a deep knowledge of modern pure and applied mathematical techniques. MSME is characterized by a continuous synergy between Mathematics and Engineering methods, oriented to the modelling, analysis and solution of complex planning, control and management problems, and provides the students with the possibility to face problems from various scientific, financial and/or technological areas. The MSME graduates can find employment in Engineering companies specialized in handling complex computational problems, requiring a multidisciplinary knowledge; in companies manufacturing industrial goods for which design analysis based on the use of advanced mathematical procedures are required; in service societies, banks, insurance companies, finance or consultant agencies for the statistical interpretation and the simulation of complex situations related to the analysis of large number of data (e.g. management and optimization of services, data mining, information retrieval) or for handling financial products and risk management; in public and private institutions. The programme is taught in English.

Subjects

Three main tracks available:
1. Computational Science for Engineering
Real and functional analysis; algorithms and parallel programming; numerical and theoretical analysis for partial differential equations; fluid mechanics; computational fluid dynamics advanced programming techniques for scientific computing;

2. Statistics
Real and functional analysis; algorithms and parallel programming; stochastic dynamical models; applied statistics, model identification and data analysis; Bayesian statistics

3. Mathematical Finance
Real and functional analysis; algorithms and parallel programming; stochastic differential equations; mathematical finance; financial engineering; model identification and data analysis.

In the motivation letter the student must clearly specify the track he/she is applying for.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/mathematical-engineering/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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What is the 'Master of Financial and Actuarial Engineering' all about?. The Master of Financial and Actuarial Engineering programme provides students with up-to-date, sound and advanced financial, actuarial and statistical skills. Read more

What is the 'Master of Financial and Actuarial Engineering' all about?

The Master of Financial and Actuarial Engineering programme provides students with up-to-date, sound and advanced financial, actuarial and statistical skills. It is an intensive, advanced, one-year programme for university graduates interested in a career in risk management, financial and/or actuarial engineering within financial institutions. The discipline focuses on the application of quantitative methods to problems involving risk or uncertainty. You will gain an understanding of current and future problems and solutions in insurance and banking and be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques.

The programme provides advanced insights into the actuarial aspects of life insurance, general insurance and risk theory as well as financial mathematics and the inter-relationship and integration of actuarial sciences and finance. The programme draws on over sixty years of experience and international recognition. The research team for risk theory, finance and statistics has a strong research profile and is ranked among the world top in terms of actuarial research productivity. The programme is jointly offered by the Faculty of Business and Economics and the Faculty of Science at KU Leuven, in collaboration with Université Catholique de Louvain.

Objectives

The main goal of the programme is to provide the students with an sound knowledge of finance and actuarial science. They develop the capabilities to understand current and future problems and solutions in the actuarial and financial context. They will be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques. Graduates holding both the degree of Master of Financial and Actuarial Engineering and 'Master in de verzekeringen' (Dutch-language initial master at KU Leuven) are eligible for membership in the professional body of actuaries in Belgium (IA|BE), and the international actuarial professional body (IAA).

At the end of the programme students will:

  • be equipped with fundamental and conceptual knowledge of the mathematical and economic aspects of financial theory and insurance techniques;
  • have advanced insights in the actuarial aspects of life insurance, general insurance, risk theory as well as in the interrelationship and integration of actuarial sciences and financial mathematics;
  • have a strong background in quantitative methods and financial models and will be able to select and apply those methods to problems that involve risk or uncertainty;
  • dispose of enhanced analytical, critical, conceptual, problem solving and decision making capabilities and skills;
  • have the ability to integrate actuarial, statistical and financial modelling techniques in order to arrive at effective solutions to problems occurring in insurance and financial practice;
  • be able to conduct research, not only in an academic context, but also in view of a professional career;
  • be able to stay up-to-date with the advances in actuarial sciences by following up and familiarizing with new insights, developments, results and methods;
  • be able to communicate and report adequately on financial and actuarial topics.

Career perspectives

The programme addresses the rapidly-changing needs resulting from the accelerating globalisation of the banking and insurance sector. As such, it provides a sound basis for a career in various areas of risk management, financial and actuarial engineering and insurance. Most graduates find employment in insurance companies, whose financial stability depends on actuarial calculations (e.g. premiums, provisions, capital requirements, reinsurance policy).

As an expert in the field of risk and uncertainty, you can also play an important role in banking and finance. The increasing convergence between the insurance and financial markets as well as the use of mathematically based instruments, such as options and futures, offers excellent career prospects. Graduates are well placed to find employment in banks, pension funds, reinsurance companies, consulting and audit companies.

Some graduates go to work in government, for instance in social security or economic affairs departments. Graduates holding both the degree of Master of Financial and Actuarial Engineering and 'Master in de verzekeringen' (Dutch-language initial Master's programme at KU Leuven) are eligible for membership in the professional body of actuaries in Belgium (IA|BE).



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Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling. Read more
Our MSc Computational Finance equips you with the core concepts and mathematical principles of modern quantitative finance, plus the operational skills to use computational packages (mainly Matlab) for financial modelling.

We provide practical, hands-on learning about how modern, highly computerised financial markets work, how assets should be priced, and how investors should construct a portfolio of assets. In addition to traditional topics in derivatives and asset pricing, we place a special emphasis on risk management in non-Gaussian environment with extreme events.

You master these areas through studying topics including:
-Non-linear and evolutionary computational methods for derivatives pricing and portfolio management
-Applications of calculus and statistical methods
-Computational intelligence in finance and economics
-Financial markets

You also graduate with an understanding of the use of artificial financial market environments for stress testing, and the design of auctions and other financial contracts.

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation.

Our research is geared towards real-world, practical applications, and many of our academic staff have experience of applying their findings in industry and in advising the UK government.

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our departments of economics, computer science and business.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

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

-CCFEA MSc Dissertation
-Financial Engineering and Risk Management
-Introduction to Financial Market Analysis
-Learning and Computational Intelligence in Economics and Finance
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Big-Data for Computational Finance (optional)
-Industry Expert Lectures in Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Programming in Python (optional)
-Artificial Neural Networks (optional)
-High Frequency Finance and Empirical Market Microstructure (optional)
-Machine Learning and Data Mining (optional)
-Trading Global Financial Markets (optional)
-Creating and Growing a New Business Venture (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Constraint Satisfaction for Decision Making (optional)

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On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling. Read more
On our MSc Algorithmic Trading, we equip you with the core concepts and quantitative methods in high frequency finance, along with the operational skills to use state-of-the-art computational methods for financial modelling.

We enable you to attain an understanding of financial markets at the level of individual trades occurring over sub-millisecond timescales, and apply this to the development of real-time approaches to trading and risk-management.

The course includes hands-on projects on topics such as order book analysis, VWAP & TWAP, pairs trading, statistical arbitrage, and market impact functions. You have the opportunity to study the use of financial market simulators for stress testing trading strategies, and designing electronic trading platforms.

In addition to traditional topics in financial econometrics and market microstructure theory, we put special emphasis on areas:
-Statistical and computational methods
-Modelling trading strategies and predictive services that are deployed by hedge funds
-Algorithmic trading groups
-Derivatives desks
-Risk management departments

Our Centre for Computational Finance and Economic Agents is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation. We are supported by Essex’s highly rated Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

This course is taught by experts with both academic and industrial expertise in the financial and IT sectors. We bring together leading academics in the field from our departments of economics, computer science and business.

Our staff are currently researching the development of real-time trading platforms, new financial econometric models for real-time data, the use of artificially intelligent agents in the study of risk and market-based institutions, operational aspects of financial markets, financial engineering, portfolio and risk management.

More broadly, our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

We have an extensive network of industrial contacts through our City Associates Board and our alumni, while our expert seminar series gives you the opportunity to work with leading figures from industry.

Our recent graduates have gone on to become quantitative analysts, portfolio managers and software engineers at various institutions, including:
-HSBC
-Mitsubishi UFJ Securities
-Old Mutual
-Bank of England

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

-CCFEA MSc Dissertation
-Big-Data for Computational Finance
-High Frequency Finance and Empirical Market Microstructure
-Introduction to Financial Market Analysis
-Professional Practice and Research Methodology
-Quantitative Methods in Finance and Trading
-Trading Global Financial Markets
-Cloud Technologies and Systems (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Digital Signal Processing (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Financial Engineering and Risk Management (optional)
-High Performance Computing (optional)
-Industry Expert Lectures in Finance (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)
-Mathematical Research Techniques Using Matlab (optional)
-Programming in Python (optional)
-Text Analytics (optional)

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