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Masters Degrees (Financial Engineer)

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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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This MSc provides an ideal foundation for graduates who wish to pursue a career as software engineers. Read more
This MSc provides an ideal foundation for graduates who wish to pursue a career as software engineers. The programme provides the opportunity to undertake a significant group software engineering project sponsored by a financial services company, allowing students to specialise in software systems engineering from a financial computing perspective.

Degree information

Students gain instruction in all aspects of software engineering needed for the development of large, complex, highly dynamic, distributed software-intensive systems. The programme covers requirements engineering, software design, validation and verification, tools for the development of software intensive systems, and provides instruction in financial information systems.

Students undertake modules to the value of 180 credits.

The programme consists of seven core modules (105 credits), one optional module (15 credits) and a group project (60 credits).

Core modules
-Requirements Engineering and Software Architecture
-Software Abstractions and Systems Integration
-Validation and Verification
-Tools and Environments
-Financial Institutions and Markets
-Professional Practice
-Financial Information Systems

Optional modules
-Compliance, Risk and Regulation
-People and Security
-Networked Systems
-Distributed Systems and Security

Dissertation/report
All students participate in a group project, encompassing the full software development lifecycle and applying techniques learned, such as the technical skills of analysis, design and implementation.

Teaching and learning
The programme is delivered through a combination of lectures, written and laboratory exercises, and project work. Student performance is assessed through written exercises with modelling notations, laboratory exercises with tools and environments, unseen examination papers, and a significant, comprehensive group project.

Careers

This professionally oriented programme provides an ideal foundation for graduates who wish to pursue a career as a software architect or leader of software development organisations. It also provides an excellent introduction for those who want to pursue research in software systems engineering.

Graduates from UCL are keenly sought by the world's leading organisations, and many progress in their careers to secure senior and influential positions. UCL Computer Science graduates are particularly valued as a result of the department's international reputation, strong links with industry, and ideal location close to the City of London.

Graduates have found positions at global companies such as RBS and UBS.

Top career destinations for this degree:
-IT Developer, Microsoft
-Financial Assistant, ZhenHua Oil
-Software Engineer, Epsilon Net
-International Company Law, Université Paris-Sorbonne (Paris-Sorbonne University)
-MBA (Master of Business Administration), IFMR (Institute of Financial Management and Research)

Employability
There is, throughout the world, a strong demand for software engineers with solid foundations covering not only the programming aspects of software development, but also aspects related to requirements engineering, software architectures, system integration, and testing. Many surveys rank software engineering positions as among the best jobs in the world.

Following graduation, our students are generally hired as software engineers or software architects by large financial institutions, sometimes by institutions they have engaged with in the context of their MSc project.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research, and was one of the top-rated departments in the country according to the UK government's recent research assessment exercise.

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries from entertainment to finance.

We take an experimental approach to our subject and place a high value on our extensive range of industrial collaborations. In the recent past, students have worked on projects and coursework in collaboration with Microsoft, IBM, and financial institutions such as JP Morgan, Citigroup and BNP Paribas.

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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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The MSc Financial Mathematics draws on tools from applied mathematics, computer science, statistics and economic theory to prepare you for roles in which you will combine in-depth knowledge of financial products and risk with sophisticated technical and programming skills. Read more
The MSc Financial Mathematics draws on tools from applied mathematics, computer science, statistics and economic theory to prepare you for roles in which you will combine in-depth knowledge of financial products and risk with sophisticated technical and programming skills.

You will acquire solid knowledge of probability theory and stochastic processes, numerical analysis and programming languages, asset pricing theory and risk analysis, with special emphasis on valuation and risk management.

Typical career paths of graduates from our MSc Financial Mathematics include research positions (in both financial and academic institutions), or roles involving the development, management and improvement of derivatives models using advanced programming languages, and model validation such as Equity/Equity Derivatives Quant, Quantitative Financial Engineer, or Quantitative Risk Analyst.

This programme is rigorous with respect to the mathematics but also places great emphasis on linking theory with real world developments. You will often be exposed to the teaching of real world practitioners from the City of London.

Cass's proximity to the City of London, and our close links to many of its institutions, will help you to access outstanding networking and career opportunities.

Visit the website: http://www.cass.city.ac.uk/courses/masters/courses/financial-mathematics

Course detail

There are two Induction Weeks The Financial Mathematics course starts with two compulsory induction weeks, focused on:

• an introduction to careers in finance and the opportunity to speak to representatives from over 75 companies during a number of different industry specific fairs.

• a reminder course of advanced financial mathematics, statistics and basic computing which forms a prerequisite of the core modules in term 1.

Attendance is mandatory.

Format

To satisfy the requirements of the degree course students must complete:

• eight core courses (15 credits each)
and
• two additional core modules plus three electives (10 credits each)
or
• three electives (10 credits each) and an Applied Research Project (20 credits)
or
• one elective (10 credits) and a Business Research Project (40 credits)

Assessment

Assessment of modules on the MSc in Financial Mathematics, in most cases, is by means of coursework and unseen examination. Coursework may consist of standard essays, individual and group presentations, group reports, classwork, unseen tests and problem sets. Please note that any group work may include an element of peer assessment.

Career opportunities

Many graduates from the MSc in Financial Mathematics progress to one of two fields:

• derivatives valuation and portfolio management within investment houses
• research departments within banks and consultancy firms

Some examples of where graduates from the MSc in Financial Mathematics class of 2014 are working are:

• Bank of China - Management Trainee
• Santander - Credit Fraud Analyst
• Renaissance Re - Analyst
• Deutsche Bank - Bookrunner

How to apply

Apply here: http://www.city.ac.uk/study/postgraduate/applying-to-city

Funding

For information on funding, please follow this link: http://www.city.ac.uk/study/postgraduate/funding-and-financial-support

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This MSc provides an ideal foundation for students wishing to advance their mathematical modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may be applied in a research context to provide powerful solutions. Read more
This MSc provides an ideal foundation for students wishing to advance their mathematical modelling skills. The programme teaches students the basic concepts which arise in a broad range of technical and scientific problems and illustrates how these may be applied in a research context to provide powerful solutions.

Degree information

Students develop an understanding of the processes undertaken to arrive at a suitable mathematical model and are taught the fundamental analytical techniques and computational methods used to develop insight into system behaviour. The programme introduces a range of problems - industrial, biological and environmental - and associated conceptual models and solutions.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three optional modules (45 credits), and a research dissertation (60 credits). The part-time option normally spans two years. The eight taught modules are spread over the two years. The research dissertation is taken in the summer of the second year.

Core modules
-Advanced Modelling Mathematical Techniques
-Nonlinear Systems
-Operational Research
-Computational and Simulation Methods
-Frontiers in Mathematical Modelling and its Applications

Optional modules
-Asymptotic Methods & Boundary Layer Theory
-Biomathematics
-Cosmology
-Evolutionary Game Theory and Population Genetics
-Financial Mathematics
-Geophysical Fluid Dynamics
-Mathematical Ecology
-Quantitative and Computational Finance
-Real Fluids
-Traffic Flow
-Waves and Wave Scattering

Dissertation/report
All MSc students undertake an independent research project, which culminates in a dissertation of approximately 15,000-words and a project presentation.

Teaching and learning
The programme is delivered through seminar-style lectures and problem and computer-based classes. Student performance is assessed through a combination of unseen examination and coursework. For the majority of courses, the examination makes up between 90–100% of the assessment. The project is assessed through the dissertation and an oral presentation.

Careers

Our graduates have found employment in a wide variety of organisations such as Hillier-Parker, IBM, Swissbank, Commerzbank Global Equities, British Gas, Harrow Public School, Building Research Establishment and the European Centre for Medium-Range Weather-Forecasting. First destinations of recent graduates include:
-R.T.E: Engineer
-Tower Perrins: Actuarist
-Deloitte: Quantitative Analyst
-UCL: Research Associate
-C-View: Quantitative Trader
-One-to-One: Maths Tutor
-UCL Research Degree - Mathematics
-Duff & Phelps Ltd: Financial Engineer
-Bank of Tokyo Mitsubishi: Assistant Compliance Officer

Employability
The finance, actuarial and accountancy professionals are constantly in demand for high-level mathematical skills and recent graduates have taken positions in leading finance-related companies such as UBS, Royal Bank of Scotland, Societe Generale, PricewaterhouseCoopers, Deloitte, and KPMG.

In the engineering sector, recent graduates from the MSc include a mathematical modeller at Steet Davies Gleave, a leading Transportation Planning Consultancy; and a graduate trainee at WesternGreco, a business segment of Schlumberger that provides reservoir imaging, monitoring, and development services. In addition, a number of graduates have remained in education either progressing to a PhD or entering the teaching profession.

Why study this degree at UCL?

UCL Mathematics is internationally renowned for its excellent individual and group research that involves applying modelling techniques to problems in industrial, biological and environmental areas.

The department hosts a stream of distinguished international visitors. In recent years four staff members have been elected fellows of the Royal Society, and the department publishes the highly regarded research journal Mathematika.

This MSc enables students to consolidate their mathematical knowledge and formulate basic concepts of modelling before moving on to case studies in which models have been developed for issues motivated by industrial, biological or environmental considerations.

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The objective of the Specialised Programme in Quantitative Finance is to train top level specialists able to advance in today’s global financial sector characterised by constant change and continuous innovation. Read more
The objective of the Specialised Programme in Quantitative Finance is to train top level specialists able to advance in today’s global financial sector characterised by constant change and continuous innovation.

This 12-month programme has been developed to help graduates from engineering schools and universities, possessing a strong background in mathematics, computer science, physics and similar areas of expertise, launch their career in quantitative finance. After completing this specialised programme, graduates take up various positions like Risk Manager, Financial Engineer or ‘Quant’, Asset Manager, Fund Manager and others.

The academic courses include both the fundamentals of management as well as specialised courses like quantitative methods, economic and financial environments, life insurance and pension funds management. This academic part is complemented by a 6 month period in-company.

The Specialised Programme in Quantitative Finance takes place in our campus in Paris.

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If you're looking to build a career as an economist - a role which brings plentiful job opportunities in both the public and private sector - our course will equip you with the tools you need to succeed. Read more
If you're looking to build a career as an economist - a role which brings plentiful job opportunities in both the public and private sector - our course will equip you with the tools you need to succeed. Companies across all industries are recognising the crucial role economists can play in their business.

This course is an opportunity to develop analytical skills alongside economic and financial theories, which will enable you to play a leading role in planning, problem solving and taking a company forward.

What sets this course apart from other financial qualifications is our focus on how finance links with the wider economy. You will build an understanding of the latest economic theories in order to analyse the way in which firms take financial decisions and how these affect performance.

This is a course committed to combining finance and economics with a global outlook - and among your areas of study will be the topical issues in bank regulation, advanced macroeconomics and microeconomics, and statistical testing of economic theories.

Whether you're already working in the field and looking to progress, or are a recent graduate keen to get started in economics, our course will help you move forward.

- Research Excellence Framework 2014: twice as many of our staff - 220 - were entered into the research assessment for 2014 compared to the number entered in 2008.

Visit the website http://courses.leedsbeckett.ac.uk/financialeconomics_msc

Mature Applicants

Our University welcomes applications from mature applicants who demonstrate academic potential. We usually require some evidence of recent academic study, for example completion of an access course, however recent relevant work experience may also be considered. Please note that for some of our professional courses all applicants will need to meet the specified entry criteria and in these cases work experience cannot be considered in lieu.

If you wish to apply through this route you should refer to our University Recognition of Prior Learning policy that is available on our website (http://www.leedsbeckett.ac.uk/studenthub/recognition-of-prior-learning.htm).

Please note that all applicants to our University are required to meet our standard English language requirement of GCSE grade C or equivalent, variations to this will be listed on the individual course entry requirements.

Careers

All businesses have a financial outlook and the transferable skills you learn on our course are highly sought after by firms around the world.

If you are looking to build a career as an economist – a role which brings plentiful job opportunities in both the public and private sectors – our course will equip you with the tools you need to succeed. From consultancy, investment banks, insurance companies, international banks, retail giants, the United Nations, International Monetary Fund (IMF) or government bodies like the Ministry of Finance or Office for National Statistics (ONS) – you’ll find there is a huge demand for economists.

- Economist
- Asset Manager
- Financial Engineer
- Financial Consultant

Careers advice:
The dedicated Jobs and Careers team offers expert advice and a host of resources to help you choose and gain employment. Whether you're in your first or final year, you can speak to members of staff from our Careers Office who can offer you advice from writing a CV to searching for jobs.

Visit the careers site - https://www.leedsbeckett.ac.uk/employability/jobs-careers-support.htm

Course Benefits

You will study at our landmark Rose Bowl building - purpose-built for own Leeds Business School and a business hub within the city. Leeds is the UK's biggest centre for financial services outside of London and you will benefit from our great business links in the region. You will meet and hear from industry experts who work at the leading financial organisations in and around Leeds - a great chance to build your own contacts - while also learning from highly-experienced tutors in the field.

At Leeds Business School we're dedicated to supporting your professional development - that's why we also offer a guest lecture programme. Past speakers include the CEO of the London Stock Exchange, Shadow Chief Secretary to the Treasury, past Chair and President of the Academy of Marketing, Chief Executive of the British Bankers Association, the Chief Economist of Yorkshire Bank and the Editor of Cosmopolitan. To see our full programme and to register for a lecture click here (http://www.leedsmet.ac.uk/guestspeakers).

Core Modules

Advanced Macroeconomics
Advanced MacroeconomicsCover the core principles of macroeconomic theory, with an emphasis on relevance for economic policy. Enhance your capacity to structure an argument and to make points accurately and consistently.

Advanced Microeconomics
Gain a firm grounding in advanced modern core principles of microeconomic analysis through rigorous analyses of advanced topics in microeconomics.

Applied Econometrics: Time series
Improve your understanding of econometric principles and modern methods, and learn to apply these techniques in the statistical testing of economic theories and models, and forecasting of economic and financial variables.

Bank Regulation & the Resolution of Banking Crises
Learn to apply relevant skills and professional judgement in assessing strategic position, determining strategic choice, and implementing action through business process and structural change.

Financial Economics
Gain a comprehensive economic analysis of the operation, efficiency and dependencies between financial markets and their associated institutions. You will also assess the impact upon the world economy of any failure of the financial sector.

Dissertation
You will carry out an in-depth research project in a subject area that is appropriate to the course and of particular interest to you.

"We are proud of the success of our national and international graduates."
- Professor Christopher Prince
Dean and Pro Vice Chancellor of the Faculty of Business and Law

Facilities

- Library
Our libraries are two of the only university libraries in the UK open 24/7 every day of the year. However you like to study, the libraries have got you covered with group study, silent study, extensive e-learning resources and PC suites.

- The Rose Bowl
The Rose Bowl has impressive teaching spaces, auditoriums, conference facilities and an outstanding local reputation as a business hub. The Rose Bowl puts our students at the centre of a dynamic business community.

Find out how to apply here - http://www.leedsbeckett.ac.uk/postgraduate/how-to-apply/

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The master of science in computational finance is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of additional industries. Read more

Program overview

The master of science in computational finance is designed for students interested in computational or quantitative finance careers in banking, finance, and a growing number of additional industries. Professionals in these fields use their strengths in business, modeling, and data analysis to understand and use complex financial models, often involving differential and stochastic calculus.

The program addresses a vital and growing career field, reaching beyond banking and finance. Typical job titles include risk analyst, research associate, quantitative analyst, quantitative structured credit analyst, credit risk analyst, quantitative investment analyst, quantitative strategist, data analyst, senior data analyst, fixed income quantitative analyst, and financial engineer. Computational finance is an excellent career option for technically-oriented professionals in the fields of business, math, engineering, economics, statistics, and computer science. Programming knowledge is highly preferred.

Plan of study

The curriculum offers an integration of finance, mathematics, and computing. The required mathematics courses have substantial financial content and the experiential computational finance course, which students take during the summer, makes use of skills learned in the mathematics, analytics, and finance courses taken up to that point. The program has a strong multidisciplinary nature and combines the expertise of four of RIT's colleges. The program is a full-time, 17-month curriculum beginning exclusively in the fall. The program ends with a required non-credit comprehensive exam based on the courses completed by the student.

Curriculum

Computational finance, MS degree, typical course sequence:
-Accounting for Decision Makers
-Survey of Finance
-Equity Analysis
-Debt Analysis
-Advanced Derivatives
-Mathematics for Finance I
-Mathematics for Finance II
-Analytics Electives
-Electives
-Computational Finance Experience

Other admission requirements

-Submit official transcripts (in English) from all previously completed undergraduate and graduate course work.
-Submit the results of the Graduate Management Admission Test (GMAT) or Graduate Record Exam (GRE) (GMAT preferred).
-Submit a personal statement (Applicants should explain why their background, please indicate mathematical and programming knowledge, and interests make them suitable for the program).
-Submit a current resume, and complete a graduate application.
-International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language. Minimum scores of 580 (paper-based) or 92 (Internet-based) are required. Scores from the International English Language Testing System (IELTS) will be accepted in place of the TOEFL exam. The minimum acceptable score is 7.0. The TOEFL or IELTS requirement is waived for native speakers of English or for those submitting transcripts from degrees earned at American institutions. For additional information on the IELTS, visit http://www.ielts.org.
-Completed applications for admission should be on file in the Office of Graduate Enrollment Services at least four weeks prior to registration for the next academic semester for students from the United States, and up to 10 weeks prior for international students applying for student visas.
-Accepted students can defer enrollment for up to one year. After one year, a new application must be submitted and will be re-evaluated based on the most current admission standards.

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Taught jointly by UCL’s Space & Climate Physics and UCL’s Electronic & Electrical Engineering Departments by expert researchers and engineers in the field… Read more
Taught jointly by UCL’s Space & Climate Physics and UCL’s Electronic & Electrical Engineering Departments by expert researchers and engineers in the field, this MSc programme aims to provide a broad understanding of the basic principles of space technology and satellite communications together with specialised training in research methods and transferable skills, directly applicable to a career in the public and private space sectors.

Degree information

The Space Technology pathway is focussed on the application of space technology in industrial settings, and therefore has as its main objective to provide a sound knowledge of the underlying principles which form a thorough basis for careers in space technology, satellite communications and related fields. Students develop a thorough understanding of the fundamentals of:
-Spacecraft, satellite communications, the space environment, space operations and space project management.
-The electromagnetics of optical and microwave transmission, and of communication systems modelling.
-A range of subjects relating to spacecraft technology and satellite communications.

Students undertake modules to the value of 180 credits.

The programme consists of three core modules (45 credits), four optional modules (60 credits), a Group Project (15 credits) and an Individual research Project (60 credits).

Core modules
-Space Science, Environment and Satellite Missions
-Space Systems Engineering
-Communications Systems Modelling Type
-Group Project

Optional modules - at least one module from the following:
-Spacecraft Design – Electronic Sub-systems
-Mechanical Design of Spacecraft
-Antennas and Propagation
-Radar Systems
-Space-based Communication Systems

At least one module from:
-Space Instrumentation and Applications
-Space Plasma and Magnetospheric Physics
-Principles and Practice of Remote Sensing
-Global Monitoring and Security
-Space Data Systems and Processing

Dissertation/report
All MSc students undertake an Individual research Project, which normally involves attachment to a research group, and culminates in a report of 10,000–12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, coursework problem tasks, team-based coursework exercises, presentations and tutorials. Student performance is assessed through unseen written examinations, coursework, and the individual and group projects.

Careers

The programme aims to prepare students for careers in space research or the space industry, or further research degrees.

First destinations of recent graduates include:
-ONERA: Research Engineer
-Hispassat: Telecommunications Engineer
-Detica: Engineer
-Equinox Consulting: Financial Consultant
-Murex: Financial Consultant
-Risk Management Solutions: Risk Analyst
-Defence Science and Technology Laboratory: Analyst
-School of Electronics & Computer Science IT-Innovation: Research Engineer
-EADS Astrium Ltd: Engineer
-Thales Space: Engineer

Why study this degree at UCL?

UCL Space & Climate Physics, located at the Mullard Space Science Laboratory, is a world-leading research organisation and is the largest university space science group in the UK.

It offers a unique environment at the forefront of space science research, where scientists and research students work alongside top engineers building and testing instruments for space as well as studying the data from these and other spaceborne and ground-based instruments.

The close contact that the laboratory enjoys with space agencies such as ESA and NASA and with industrial research teams encourages the development of transferable skills which enhance job prospects in industrial and research centres in the public and private space sectors.

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This course will train physicists and engineers in the area of photonics, which is a key enabling technology, underpinning many areas of industry. Read more

Why this course?

This course will train physicists and engineers in the area of photonics, which is a key enabling technology, underpinning many areas of industry.

You'll have the opportunity to undertake a three-month research or development project based with one of our industrial partners such as M Squared Lasers.

We have a long tradition of cutting-edge photonics research, which supports our courses. Much of this work has resulted in significant industrial impact through our spin-out companies and academic-industrial collaborations.

You'll also have the opportunity to develop your entrepreneurial skills by taking courses delivered by the Hunter Centre for Entrepreneurship.

You’ll study

The course is made up of two semesters of taught classes, followed by a three-month research project based with one of our industrial partners. The majority of your classes are delivered by the Department of Physics and cover the following:
-research and grant writing skills, which are valuable in both academic and commercial settings
-project training, including entrepreneurial and innovation skills training and a literature survey preparing for the project in the company
-topics in photonics, covering laser physics, laser optics and non-linear optics
-optical design, where you will learn about advanced geometrical optics and apply this knowledge to the design of optical systems, through the use of modern optical design software
-photonic materials and devices, focusing on semiconductor materials physics and micro/nano-structures
-advanced photonic devices and applications, covering quantum well structures, waveguides and photonic crystals

These classes are complemented by two classes delivered by the Department of Electronic & Electrical Engineering, which look at:
-system engineering and electronic control which forms a key part of modern optical systems
-photonic systems, where fibre optic communications systems and principles of photonic networks are discussed

Work placement

You'll be based with one of our industrial partners for a three-month project placement. This is your opportunity to experience how research and development operate within a commercial environment. It'll also give you a chance to form strong links with industry contacts.

The project is put forward by the company and supervised by both industrial and academic staff. Training on relevant skills and background will be received before and during the project.

Facilities:
Scotland has a world-leading position in optics and photonics industry.Your project will be carried out mainly in the excellent facilities of our Scottish industry partners. Projects elsewhere in the UK and with international companies may also be possible.

Advanced research facilities are also available in:
-the Department of Physics here at Strathclyde
-the Institute of Photonics
-the Fraunhofer Centre for Applied Photonics

Our research is strongly supported in equipment and infrastructure. This includes a newly opened 3-storey wing in the John Anderson Building as part of a £13M investment programme in Physics. Furthermore, the IoP and FCAP have recently relocated into the University's Technology & Innovation Centre (TIC) which at £90 million TIC is Strathclyde’s single-biggest investment in research and technology collaboration capacity. This new centre will accelerate the way in which researchers in academia and industry collaborate and innovate together in a new specifically designed state-of-the-art building in the heart of Glasgow.

Guest lectures

You'll attend the seminar series of the Institute of Photonics and Fraunhofer Centre of Applied Photonics with distinguished guest speakers giving a first-hand overview of the rapid development in applied photonics research.

Learning & teaching

In semesters one and two, the course involves:
-lectures
-tutorials
-various assignments including a literature review
-workshops where you'll gain presentation experience

The courses include compulsory and elective classes from the Department of Electronic & Electrical Engineering.
Over the summer, you'll undertake a three-month project based on practical laboratory work in a partner company. You'll be supervised by the industrial partner and supported by an academic supervisor.

Assessment

Assessment methods are different for each class and include:
-written examinations
-marked homework consisting of problems and/or essay assignments
-presentations

Your practical project is assessed on a combination of a written report, an oral presentation, and a viva in which you're questioned on the project.

How can I fund my course?

Financial support for Scottish and EU students may be available on a case-by-case basis which will be supported by the industrial partners. Selection will be based on an excellent academic record and/or industrial experience and the promise of a successful career in Industrial Photonics.

Please indicate that you apply for such a scholarship in the "Funding" section of the application form. You'll also need to provide a CV and a statement explaining your interests and motivation with your application. This will inform the decision on a possible scholarship.

For more information, just get in touch with the Department of Physics.

Available scholarships:
We currently have a scholarship available for this course.

You must be able to demonstrate academic excellence based on your previous study along with the promise of a successful career in Industrial Photonics. Relevant previous industrial experience will be considered.

Deadline:
The first round of applications closes on 20th May 2016, and a second one will close on the 30th June 2016.

How to apply:
Apply for this scholarship via our scholarship search: https://www.strath.ac.uk/studywithus/scholarships/sciencescholarships/physicsscholarships/physicsindustrialphotonicsscholarships/

Careers

A degree in industrial photonics can set you up to work in a range of jobs in physics and positions in other industries.

Typically, it can lead you to photonic technologies in industrial corporate research and development units, production engineering and applied academic laboratories.

Work experience is key:
Employers want to know you can do the job so work experience is key.

This course has a strong focus on the relationship between academia and industry. It's a great opportunity to enhance your skills and provides a direct transition from university to the work place.

We have an excellent record of graduate employment in the Scottish, national and international optics and photonics industries.

Doctorate study:
If you're interested in practical work with impact but are also interested in a further academic qualification, you can move on to study an EngD or a CASE PhD studentship. These can lead to a doctorate within industry or in close collaboration with industry.

Job roles:
Our Physics graduates from photonics related courses have found employment in a number of different roles including:

-Medical Physicist
-Optical engineer
-Laser engineer
-Optical and laser production engineer
-Research and production engineer
-Senior Engineer
-Systems Engineer
-Software Engineer
-Spacecraft Project Manager
-Defence Scientist
-Oscar winner

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This specialist course gives you a thorough understanding of the full range of quantitative methods needed for financial decision making. Read more
This specialist course gives you a thorough understanding of the full range of quantitative methods needed for financial decision making.
– 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.

Recent recruiters
Bangkok Bank, Barclays Capital, Bloomberg, CIBC World Markets, Citigroup, Hewitt Associates, KPMG, MFC Fund, Schlumberger, Schneider, Tata Consultancy Services.

Course structure (All taught course units are 15 credits)

Semester 1
– Asset Pricing Theory
– Derivative Securities
– Stochastic Calculus for Finance

One elective unit from:
– Cross-Sectional Econometrics
– Portfolio Investment
– Scientific Computing

Semester 2
– Credit Risk Management
– Interest Rate Derivatives
– Time Series Econometrics

One elective unit from:
– Computational Finance
– Corporate Finance
– Credit Risk Management
– Generalised Linear Models and Survival Analysis
– Real Options in Corporate Finance
– Risk, Performance and Decision Analysis
– Simulation and Risk Analysis

Summer period
Dissertation (60 credits)
– Apply what you have learned in the taught part of the course
– Dissertations are supervised by both an academic expert and an industry practitioner
– Topics are aligned with the research interests of leading financial institutions from the City of London and internationally
– Industry-linked topics are subject to strict selection criteria (for example, quality of research proposal, strong CV and first semester exam performance).

Examples of recent dissertation project topics:
– 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

Open days

Masters information sessions

We are hosting a series of informal information sessions for undergraduates who are thinking about pursuing a Master’s course at Alliance Manchester Business School.

Our Masters courses aren't just for business graduates - from business analytics to operations, and marketing to finance, we have 17 courses to choose from. Join us to meet a careers advisor, admissions staff and current students and discover how our courses can boost your career prospects.

Also, a number of graduates have the opportunity to progress directly onto the Full-time MBA programme as a Young Potential Leader - could you be one of them?

Choose from the following dates:
Wednesday 15 February 2017, 12.00 - 1.30pm
Wednesday 15 March 2017, 12.00 - 1.30pm
Wednesday 26 April 2017, 12.00 - 1.30pm
Wednesday 10 May 2017, 12.00 - 1.30pm

All events are held in the Atrium, Alliance MBS East building (on the corner of Oxford Road and Booth Street East) - number 26 on the campus map.

For further information and to register your interest in attending, please see the Alliance MBS website: http://www.mbs.ac.uk/masters/meet-us.aspx

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The Earthquake Engineering with Disaster Management MSc combines specialist earthquake engineering knowledge with an understanding of the social, economic and political impact of earthquake events in order to produce engineers who can deliver holistic design solutions and are able to work in both engineering and disaster management roles. Read more
The Earthquake Engineering with Disaster Management MSc combines specialist earthquake engineering knowledge with an understanding of the social, economic and political impact of earthquake events in order to produce engineers who can deliver holistic design solutions and are able to work in both engineering and disaster management roles.

Degree information

Graduates will be able to:
-Determine the vulnerability of ordinary and special structures to seismic actions.
-Apply both current seismic codes and novel unconventional methodologies of seismic design, repair and assessment.
-Assess the adequacy, economic viability and life-saving effectiveness of pre-event risk mitigation and post-event risk management solutions.

Students undertake modules to the value of 180 credits. The programme consists of seven core modules (105 credits), one optional module (15 credits) and a research project (60 credits). A Postgraduate Diploma (120 credits) consisting of seven core modules (105 credits) and one optional module (15 credits) is offered.

Core modules
-Engineering Seismology & Earthquake Geotechnics
-Structural Dynamics
-Disaster Risk Reduction
-Introduction to Seismic Design of Structures
-Advanced Seismic Design Structures
-Seismic Risk Assessment
-Seismic Loss Mitigation and Strengthening of Low-Engineered Buildings

Optional modules
-Advanced Structural Analysis
-Earthquake Seismology and Earthquake Hazard
-Finite Element Modelling and Numerical Methods
-Natural and Environmental Disasters
-Integrating Science into Risk and Disaster Reduction

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of approximately 12,000 words

Teaching and learning
Taught modules have been developed and are delivered in collaboration with experts from industry and non-governmental organisations. In addition a field trip is organised every year to an earthquake affected region.

Careers

Students graduate with strong technical engineering skills and rarely taught knowledge of risk evaluation. They are also able to understand the wider implications of disasters and are exposed to both industry and non-governmental organisations (NGOs). Graduates have gone on to successful careers in the civil engineering industry, in international NGOs, in the financial sector, and in academia.

Top career destinations for this degree:
-Assistant Engineer, Mott MacDonald
-Engineer in HSE and Disaster Management, MHS, Mabna Sazeh Houshmand , Iran
-Road Maintenance Engineer, AKTOR
-PhD in Earthquake Sciences, University College London (UCL)
-PhD in Strengthening Buildings and Structure, The Cyprus University of Technology

Employability
The programme aims to create a new type of global earthquake engineer able to take a holistic approach to earthquake engineering and disaster management. Graduates of the programme will have developed the specialist skills necessary for a career in the engineering sector and other areas that require knowledge and understanding of earthquake engineering and disaster risk management/mitigation principles. The MSc is accredited by the Institute of Civil Engineers as a further learning programme that can count towards chartership.

Why study this degree at UCL?

UCL Civil, Environmental & Geomatic Engineering hosts EPICentre, a leading research centre in earthquake engineering, and provides an exciting environment in which to explore this new, multidisciplinary and constantly evolving science.

The programme has extensive links to industry through professional engineers and disaster managers who deliver lectures and seminars and support students on their research projects as industrial supervisors.

Students benefit from a voluntary field trip to the closest location of a recent major earthquake to study disaster management and the effects of the earthquake on the built environment, structural strengthening techniques and disaster management.

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If numbers drive you, let Applied Statistics be your destination. Applied Statistics is a challenging field. With a Manderson degree, even when the numbers are stacked against them, our graduates are ready. Read more
If numbers drive you, let Applied Statistics be your destination. Applied Statistics is a challenging field. With a Manderson degree, even when the numbers are stacked against them, our graduates are ready.

Visit the website: http://manderson.cba.ua.edu/academics/departments/masters_program/master_of_science_in_applied_statistics

Course detail

The candidate for a graduate degree in Applied Statistics is normally expected to have completed courses in mathematics equivalent to two semesters of undergraduate calculus, and to have a working knowledge of computer programming and linear or matrix algebra.

Format and assessment

The M.S. degree in Applied Statistics requires 30 hours, half of which are track specific. There are two different tracks within this degree. These include: Statistics and Analytics. There are five required courses common to both tracks of study.

The electives may be earned in additional coursework with the approval of a faculty advisor. The program of related courses may vary from student to student and depends on the student's interests and academic background. When most of the coursework is completed, the student must pass a written comprehensive examination OR a professional exam such as the Actuarial P Exam, SAS Predictive Modeler Exam, or the ASQ Certified Quality Engineer Exam.

Required modules:

- ST 552 Applied Regression Analysis
- ST 553 Applied Multivariate Analysis
- ST 554 Mathematical Statistics I
- ST 555 Mathematical Statistics II
- ST 560 Statistical Methods

How to apply: http://graduate.ua.edu/prospects/application/

Fund your studies

Student Financial Aid provides comprehensive information and services regarding opportunities to finance the cost of education at The University of Alabama. We recognize that financial assistance is an important key to helping reach your educational and career goals. The financial aid staff is dedicated to making the financial aid process as straightforward as possible. Visit the website to find out more: http://financialaid.ua.edu/

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The Renewable Energy programme was created to allow BEng graduates to achieve the educational requirements to become a Chartered Engineer under the Engineering Council’s UK-SPEC scheme. Read more
The Renewable Energy programme was created to allow BEng graduates to achieve the educational requirements to become a Chartered Engineer under the Engineering Council’s UK-SPEC scheme. The course is currently accredited by the Chartered Institute of Building Services Engineers (CIBSE) and the Energy Institute as suitable for further learning towards Chartered Status for engineering graduates. This accreditation has international acceptance under the Washington Accord. Please note that the programme is only suitable as further learning in conjunction with an accredited BEng programme.

Key benefits

- Accredited by the Chartered Institution of Building Services Engineers (CIBSE) on behalf of the Engineering Council for the purposes of partially meeting the academic requirement for registration as a Chartered Engineer.

- Accredited by the Energy Institute (EI) on behalf of the Engineering Council as further learning for the academic requirement for registration as a Chartered Engineer.

Visit the website: https://www.ulster.ac.uk/courses/course-finder/201617/renewable-energy-and-energy-management-9049

Course detail

- Description -

This course seeks to provide an opportunity for graduates and professionals to acquire knowledge of renewable energy and energy management, and to develop skills appropriate to its practice. To achieve this it seeks to increase capacity for understanding the theoretical concepts and socio-economic principles and techniques upon which renewable energy technologies and energy management strategies are founded. To this end, the course is designed to produce graduates who have an in-depth knowledge and understanding of the scientific, technological issues concerning energy systems.

- Purpose -

The programme seeks to develop graduates who will have the knowledge, insight and skills to lead programmes of change, new design or retrofit solutions that require the deployment of either or both energy efficiency measures and renewable energy technologies.

- Teaching and learning assessment -

All modules are delivered fully online through Ulster University's virtual learning environment. All modules are currently assessed by 100% coursework. The exercises include projects, essays, group discussion boards, blogs and online quizzes.

The dissertation is also assessed by a Viva which can be conducted via video call.

Career options

Students are encouraged to consider their career development throughout the course. The delivery mode gives the students the chance to obtain an MSc in a modern and relevant subject while still working and gaining experience. This combination has impressed employers and prospective employers. Student feedback states that “the impact of learning this course enabled them to improve their capacity to manage work, personal life and college workload at the same time.”, “Personally I feel more confident speaking with and more understanding about the area of renewable technologies. It has also helped me to improve curricular areas in engineering to introduce renewable technologies.”

The demand for well-educated energy engineers is increasing dramatically, with wide ranging opportunities in the field of renewable energy and energy management generally. Graduates from the Ulster Univerrsity are employed in interesting and diverse careers in fields related to energy both in the UK and worldwide. Many are employed as design consultants, while others have embarked upon careers in local government.

How to apply: https://www.ulster.ac.uk/apply/how-to-apply#pg

Why study at Ulster?

1. Over 92% of our graduates are in work or further study six months after graduation.
2. We are a top UK university for providing courses with a period of work placement.
3. Our teaching and the learning experience we deliver are rated at the highest level by the Quality Assurance Agency.
4. We are an international university with more than 2,000 international students from over 80 countries and Alumni from 121 countries.
5. More than 4,000 students from over 50 countries have successfully completed eLearning courses at Ulster University.

Flexible payment

To help spread the cost of your studies, tuition fees can be paid back in monthly instalments while you learn. If you study for a one-year, full-time master’s, you can pay your fees up-front, in one lump sum, or in either five or ten equal monthly payments. If you study for a master’s on a part-time basis (e.g. over three years), you can pay each year’s fees up-front or in five or ten equal monthly payments each year. This flexibility allows you to spread the payment of your fees over each academic year. Find out more by visiting http://www.ulster.ac.uk/learnyourway

Scholarships

A comprehensive range of financial scholarships, awards and prizes are available to undergraduate, postgraduate and research students. Scholarships recognise the many ways in which our students are outstanding in their subject. Individuals may be able to apply directly or may automatically be nominated for awards. Visit the website: https://www.ulster.ac.uk/apply/fees-and-finance/scholarships

English Language Tuition

CELT offers courses and consultations in English language and study skills to Ulster University students of all subjects, levels and nationalities. Students and researchers for whom English is an additional language can access free CELT support throughout the academic year: https://www.ulster.ac.uk/international/english-language-support

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