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Masters Degrees (Object Oriented Programming)

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The MSc in Internet Systems and e-Business is a taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. Read more

The MSc in Internet Systems and e-Business is a taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. The programme is also suitable for those who have been in industry or other employment, possibly involving increasing recent work with IT, and now want to improve their career by means of formal training and a recognised qualification. The programme starts with an introduction to programming and then covers key details of software engineering and Internet technology.

Course Structure

Seven taught modules and then a dissertation module of approximately two months over the summer.

Core Modules

  • Object-Oriented Programming in Java and UML
  • Software Engineering for the Internet
  • Distributed Computing
  • Enterprise and Distributed Systems
  • Research Methods and Professional Issues
  • Web Technology
  • Digital Imaging
  • Dissertation.

Course Learning and Teaching

The MSc in Internet Systems and e-Business is a full-time taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. The programme is also suitable for those who have been in industry or other employment, possibly involving increasing recent work with IT, and now want to improve their career by means of formal training and a recognised qualification. Students are registered for 12 months from the course start date at the beginning of October each academic year. The programme starts with an introduction to programming and then covers key details of software engineering and Internet technology.

The programme consists of seven lecture/tutorial based core modules plus a research project. The two modules in Object Oriented Programming, and Web Technology, each feature 18 hours of lectures plus 8 hours of tutorial contact time.

The three modules in Digital Imaging, Distributed Computing and Research Methods and Professional Issues each feature 12 hours of lectures plus 8 hours of tutorial contact time. The lecture module on Software Engineering for the Internet has 20 hours of tutorials. The lecture module on Enterprise and Distributed Systems use a variety of teaching methods. It might typically feature 18 hours of lectures and 12 hours of tutorials. The total contact hours for all 7 of these modules is therefore 90 hours of lectures and 72 hours of tutorials.

A major individual research project is also undertaken during the course under the guidance of an appropriate staff supervisor. This provides an open-ended challenge to each individual student. Regular meetings are held with the supervisor to discuss project progress and planning issues. At the end of the project you are required to submit a dissertation documenting your project work. You should expect to have around 5 hours of contact time with your supervisors over the course of the research project.



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Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. Read more

Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. This MSc programme focuses on advanced theoretical and practical techniques in program design, and the management of software project risk.

This programme will:

  • Teach you advanced techniques in program design
  • Allow you to study key issues of interactive system design
  • Teach you the mathematical foundations of software and the practical application of these techniques
  • Focus on discovering ways of mitigating risk in large scale software engineering projects
  • Enable you to pursue roles in areas such as software design and engineering, web development, project management and IT consulting.

We have a new MSc Software Engineering and Security pathway to the MSc Software Engineering degree. If you are interested in this pathway, you need to apply for the MSc Software Engineering programme and take the pre-requisite modules and then you would be able to graduate with the MSc Software Engineering and Security.

Security, authentication and identity management have grown substantially in importance in recent years, and there is significant demand in both the commercial and national/local government sectors for software engineers with a good grasp of these areas hence introducing a pathway in Security.

NB: Students will need to take and pass the following modules in order to be eligible for the pathway title MSc in Software Engineering with Security.

ECS726P - Security and Authentication (semester 2)

ECS760 - Distributed Systems and Security semester 2)

ECS715P - Program Specifications (semester 1)

ECS737P - Software Analysis and Verification (semester 2)

ECS738 - Bayesian Decision and Risk Analysis (semester 2)

Why study your MSc in Software Engineering at Queen Mary?

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft
  • Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
  • Industrial projects scheme - To support industrial experience development, you can do your final project in collaboration with an industrial partner.

Structure

Programme structure

MSc Software Engineering is currently available for one year full-time study, two years part-time study.

Full-time

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Important note regarding Part Time Study

We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week, neither do we currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the MSc Administrator

Semester 1 (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

 Functional Programming

 Program Specifications

 Big Data Processing

 

Further options:

 Machine Learning

 Introduction to IOT

 Semi-Structured Data and Advanced Data Modelling

 Introduction to Object-Oriented Programming

Semester 2 (Maximum of 4 modules to be taken in Semester 2)

Select at least two from:

 Real Time & Critical Systems

 Interactive Systems Design

 Software Analysis and Verification

 Bayesian Decision and Risk Analysis

 

Further options from:

 Mobile Services

 Security and Authentication 

 The Semantic Web

 Advanced Object Oriented Programming

 Cloud Computing

 Data Analytics

 Parallel Computing

 Distributing Systems

Semester 3

 Project



Read less
The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. Read more

The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.

You will be able to shape your programme to match your interests and career ambitions, choosing modules from a range of areas, including the development of human-computer communications (dialogue systems), ubiquitous computing, applying interactive digital multimedia techniques, security and surveillance, and building decision-support tools for uncertain problems in various contexts (e.g. legal, medical, safety). This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.

This programme will:

  • Allow you to personalise your programme through a wide range of employment-relevant module choices.
  • Build your links with industry and potential employers - we have excellent links with industry, working together on commercial and research projects.

Why study your MSc in Computer Science at Queen Mary?

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
  • Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
  • Industrial projects scheme - To support industrial experience development, you can do your final project in collaboration with an industrial partner.

Full-time

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Important note regarding Part Time Study

We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week, neither do we currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the MSc Administrator.

Structure

MSc Computer Science is currently available for one year full-time study, two years part-time study.

Semester 1 - (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

  •  Functional Programming
  •  Semi-Structured Data and Advanced Data Modelling
  •  Introduction to Object-Oriented Programming

Further options:

  • Machine Learning
  • Introduction to Computer Vision
  • Design for Human Interaction
  • Program Specifications
  • Big Data Processing
  • Introduction to Law for Science and Engineering

Semester 2 - (Maximum of 4 modules to be taken in Semester 2)

Select at least one from:

  •  Security and Authentication 
  •  Interactive Systems Design
  •  Bayesian Decision and Risk Analysis 

Further options from:

  •  Mobile Services
  •  Real Time & Critical Systems
  •  Business Technology Strategy
  •  The Semantic Web
  •  Information Retrieval
  •  Software Analysis and Verification
  •  Natural Language Processing
  •  Advanced Object Oriented Programming
  •  Cloud Computing
  •  Data Analytics
  •  Parallel Computing
  •  Machine Learning for Visual Data Analytics
  • Foundations of Intellectual Property Law and Management

Semester 3

  •  Project

Please note that elective modules are subject to availability, timetabling constraints and may be subject to change.



Read less
This conversion course is aimed at graduates from a non-computing discipline. Information Systems is concerned with software (and to a lesser extent hardware) that gathers, stores, processes and manages data and communications within an organisation and is at the heart of any large scale enterprise. Read more
This conversion course is aimed at graduates from a non-computing discipline.

Information Systems is concerned with software (and to a lesser extent hardware) that gathers, stores, processes and manages data and communications within an organisation and is at the heart of any large scale enterprise. The key areas of study are databases, object oriented programming, systems analysis, networks, digital media systems and information systems management and strategy. The course is designed to enable a career change to Information Systems or update and broaden knowledge and skills if you are already working in the field.

A third of your MSc will consist of a solo Information Systems project with individual supervision normally in a non-technical area. This is supported by a series of seminars/workshops, but the emphasis is on student-centred learning and recognises expectations about student autonomy, typical of postgraduate level and also is part of the strategy to enhance your employability through the development of confidence, self-awareness and self-sufficiency. It is possible to switch between MSc Information Systems and MSc Computing as you develop your areas of specialism and own interests in this exciting field.

Features and benefits of the course

-The School has an extensive range of equipment in our own specialist laboratories which is supported by a dedicated team of technical staff.
-Research in the School was rated 'internationally excellent' with some rated 'world-leading' in the 2014 Research Excellence Framework (REF).
-Our online virtual learning platform Moodle, provides access to lectures, course materials and assessment information.
-Classes are concentrated on certain days of the week to facilitate part-time students’ attendance and allow full-time students to undertake part-time employment if necessary.
-The School of Computing, Mathematics and Digital Technology is a member of the Oracle Academy.
-We are an academic partner of the Institute of Information Security Professionals (IISP). This partner status recognises our expertise in the field of information and cyber security.
-We are also an Academy of the Computer Technology Industry Association (CompTIA) and deliver their partner programme which provides a pathway for students towards a rewarding, high-growth IT career.

About the Course

Supported by a dedicated team of technical staff, the School of Computing, Maths and Digital Technology has excellent computing facilities including specialist Mac and PC laboratories with industry standard software and a state-of-the-art computer usability lab. Research in the school was rated highly in the most recent Research Excellence Framework (REF), with some of our research rated as world leading.

On successful completion of this course, students should be able to:
-Develop computer programs using object-oriented development techniques
-Use object-oriented techniques for systems analysis and design
-Have an understanding of database technology and its exploitation
-Understand the underlying technical concepts of network technology, internet and multimedia technology or the delivery of applications
-Understand concepts and be able to apply appropriate techniques across a small number of specialist computing subjects
-Carry out a research-informed practical project involving system construction or experimental work.

A range of optional specialist units adds to this versatile Information Systems qualification. Units may vary from year to year, reflecting the rapidly-changing IT industry. The project is non-technical.

Classes are concentrated on certain days of the week to facilitate part-time students’ attendance and allow full-time students to undertake part-time employment if necessary. Especially useful in the case of missed classes, the online virtual learning environment using Moodle provides extensive access to lectures, course materials and assessment information.

Assessment details

Assessment will be through coursework, examination and dissertation.

Read less
Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. Read more

Whether it's the computers in our offices, the smartphones in our pockets, the electrics in our cars or the technology that enables us to monitor patients in critical care, software is at the heart of our society. This MSc programme focuses on advanced theoretical and practical techniques in program design, and the management of software project risk.

This programme will:

  • Teach you advanced techniques in program design
  • Allow you to study key issues of interactive system design
  • Teach you the mathematical foundations of software and the practical application of these techniques
  • Focus on discovering ways of mitigating risk in large scale software engineering projects
  • Enable you pursue roles in areas such as software design and engineering, web development, project management and IT consulting.

We offer Industrial Experience options on all our full-time taught MSc programmes, which combine academic study with a one-year industrial placement between your taught modules and summer project. Taking the Industrial Experience option as part of your degree gives you a route to develop real-world, practical problem-solving skills gained through your programme of study in a professional context.

This can give you an important edge in the graduate job market. The Industrial Experience programmes are highly competitive and attract the best students given the limited availability of placements.

We have a new MSc Software Engineering and Security pathway to the MSc Software Engineering degree. If you are interested in this pathway you need to apply for the MSc Software Engineering programme and take the pre-requisite modules and then you would be able to graduate with the MSc Software Engineering and Security.

Security, authentication and identity management have grown substantially in importance in recent years, and there is significant demand in both the commercial and national/local government sectors for software engineers with a good grasp of these areas hence introducing a pathway in Security.

NB: Students will need to take and pass the following modules in order to be eligible for the pathway title MSc in Software Engineering with Security.

ECS726P - Security and Authentication (semester 2)

ECS760 - Distributed Systems and Security semester 2)

ECS715P - Program Specifications (semester 1)

ECS737P - Software Analysis and Verification (semester 2)

ECS738 - Bayesian Decision and Risk Analysis (semester 2)

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

Why study your MSc in Software Engineering at Queen Mary?

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
  • Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
  • Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
  • Industrial projects scheme - To support industrial experience development, you can do your final project in collaboration with an industrial partner.

Structure

You will study four taught modules per semester followed by written examinations and the MSc research project (dissertation).

Full-time

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place.

Year 1

Semester 1 (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

  • Big Data Processing
  • Functional Programming
  • Program Specifications

Further options:

  • Introduction to IOT
  • Introduction to Object-Oriented Programming
  • Machine Learning
  • Semi-Structured Data and Advanced Data Modelling

Semester 2 (Maximum of 4 modules to be taken in Semester 2)

Select at least two from:

  • Bayesian Decision and Risk Analysis
  • Interactive Systems Design
  • Real Time & Critical Systems
  • Software Analysis and Verification

Further options from:

  • Advanced Object Oriented Programming
  • Cloud Computing
  • Data Analytics
  • Distributing Systems
  • Mobile Services
  • Parallel Computing
  • Security and Authentication 
  • The Semantic Web

Semester 3

  •  Project

Year 2

  • Industrial Placement Project


Read less
The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. Read more

The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.

This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.

  • Allow you to personalise your programme through a wide range of employment-relevant module choices.
  • Build your links with industry and potential employers - we have excellent links with industry, working together on commercial and research projects.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement. 

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Why study your MSc in Computer Science at Queen Mary?

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
  • Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
  • Industrial projects scheme - To support industrial experience development, you can do your final project in collaboration with an industrial partner.

Structure

The modules listed below provide some general guidance on what you may be expected to learn during each semester and year of this degree. The exact modules available may vary depending on staff availability, research interests, new topics of study, timetabling and student demand.

MSc Computer Science is currently available for one year full-time study, two years full-time study with industrial experience and two years part-time study.

Full-time

You will take four taught modules per semester followed by final examinations and the MSc research project (dissertation).

Undertaking a masters programme is a serious commitment, with weekly contact hours in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Year 1

Semester 1 - (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

  • Functional Programming
  • Introduction to Object-Oriented Programming
  • Semi-Structured Data and Advanced Data Modelling

Further options:

  • Big Data Processing
  • Design for Human Interaction
  • Introduction to Computer Vision
  • Introduction to Law for Science and Engineering
  • Machine Learning
  • Program Specifications

Semester 2 - (Maximum of 4 modules to be taken in Semester 2)

Select at least one from:

  • Bayesian Decision and Risk Analysis 
  • Interactive Systems Design
  • Security and Authentication 

Further options from:

  • Advanced Object Oriented Programming
  • Business Technology Strategy
  • Cloud Computing
  • Data Analytics
  • Foundations of Intellectual Property Law and Management
  • Information Retrieval
  • Machine Learning for Visual Data Analytics
  • Mobile Services
  • Natural Language Processing
  • Parallel Computing
  • Real Time & Critical Systems
  • Software Analysis and Verification
  • The Semantic Web

Semester 3

  • Project

Year 2

  • Industrial Placement Project (max 12 months)

Please note that elective modules are subject to availability, timetabling constraints and may be subject to change



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THE FINANCIAL CRISIS OF 2007-2009 HAS RAISED NEW ISSUES IN THE MANAGEMENT OF FINANCIAL RISK AND HAS CREATED NEW CHALLENGES FOR ALL PLAYERS IN THE FINANCIAL SERVICES SECTOR. Read more
THE FINANCIAL CRISIS OF 2007-2009 HAS RAISED NEW ISSUES IN THE MANAGEMENT OF FINANCIAL RISK AND HAS CREATED NEW CHALLENGES FOR ALL PLAYERS IN THE FINANCIAL SERVICES SECTOR. BANKS, INVESTMENT MANAGERS AND OTHER FINANCIAL SERVICES FIRMS NEED TO GAIN BETTER CONTROL OF THEIR FINANCIAL RISKS. MARKET PARTICIPANTS AND RESEARCHERS FROM ACADEMIA NEED TO APPLY A MULTIDISCIPLINARY APPROACH TO FINANCE AND ECONOMICS. THE MAIN OBJECTIVE OF THE MSC IS TO MEET THESE NEEDS.

THE MSC PROGRAMME WILL PROVIDE YOU WITH THE NECESSARY SKILLS TO MASTER THE FINANCIAL RISK TOOLS WHICH ARE VITAL FOR FINANCING AND INVESTMENT IN BANKS AND TO FACE THE MARKET’S NEEDS.

BACKGROUND

The MSc in Investment Banking and Risk Management programme is designed for those interested in working inthe financial services sector and who have an academic background in Financial Mathematics/Applied Mathematics/ Engineering Sciences or Physics and have graduated with an International Bachelor’s degree in the fore-mentioned subjects or with a French Master’s degree (M1). The MSc programme will provide the skills needed to master advanced analytical tools needed in modern finance.

LEARNING OUTCOMES

Students in the programme will develop the expertise to analyse and control financial risks. It covers areas such as Mathematical Finance, Risk Management, Programming and Finance, Regulation and Future Governance. The course is tailored to prepare students for jobs such as: Risk Analyst, Quantitative analyst, Structured product specialist, Compliance Officer, Auditor

BLENDED LEARNING

The pedagogical approach blends theoretical teaching with the study of real-life cases. Students will have the opportunity to work on current business problems
with financial firms. As an integral part of the programme, students will complete a 4-6 month internship. After the internship, students will prepare a dissertation using the experience gained during their time in the company under the supervision of an Internship Tutor from the company and an ESILV professor specialised in the topic of the dissertation. The first semester of the the programme can be completed at ESILV (Paris) or at the University of Padova (Italy).

53K€ - THE MINIMUM INTERNATIONAL STARTING SALARY OF GRADUATES FROM THE DEPARTMENT OF FINANCE

10 - LECTURERS/RESEARCHERS IN THE FINANCE LAB, THE RESEARCH LABORATORY IN ECONOMICS AND FINANCE

12 - BLOOMBERG TERMINALS ON CAMPUS

PROGRAMME OVERVIEW

FULL-TIME 18 MONTHS PROGRAMME IN ENGLISH

::SEMESTER 1::

Model identification, calibration and data analysis
- Linear and nonlinear computational algebra : an introduction
- Model identification and calibration

Stochastic methods for finance
- Fundamentals of Stochastic methods
- Advanced Stochastic methods for finance

Stochastic differential equations
- Stochastic processes
- Stochastic differential equations

Scientific computing and programming
- Programming : an introduction to VBA and Matlab
- Object oriented programming and data mining

::SEMESTER 2::

Statistics for Risk Management
- Econometrics
- Extreme Value Theory

Risk Management
- Credit Risk
- Operational Risk
- Liquidity Risk
- Market Risk

Quantitative Finance
- Derivative Product
- Asset Management
- Bloomberg and VBA for Finance

Accounting and Regulatory
- Asset Liability Management
- Basel 3

Beyond Basel III
- Interest Rate Risk Management
- Systemic Risk Modelisation

Bank of the future
- History of money and banking system
- International Finance andsystemic risk
- Bank and monetary policy

Language
- French as a Foreign Language

::SEMESTER 3::

Internship

Professional Dissertation

WHY WE ARE DIFFERENT

OUR COLLABORATION WITH THE UNIVERSITY OF PADOVA FOR THE MSC IN INVESTMENT BANKING AND RISK MANAGEMENT PROGRAMME WILL GIVE YOU THE OPPORTUNITY TO CONNECT TO BOTH ESILV’S AND THE UNIVERSITY OF PADOVA’S EXTENSIVE NETWORK AND TO GAIN EXPERTISE FROM THE PROFESSORS FROM BOTH SCHOOLS

::IN PARIS::

We offer an excellent work environment with state-of-the-art facilities in the heart of the largest financial district in Europe, La Défense – you will be where all the action is. ESILV is located in the Pôle Universitaire Léonard de Vinci, which offers students a highly-secure study environment where you will find up-to-date technology and equipment necessary for your studies. The Pôle Universitaire Léonard de Vinci has dedicated spaces for the comfort andwell-being of the students – including a choice of cafeterias, a sports center and lounge areas. From day one, when the international relations department meets you at the airport and helps you settle into Paris, you will get support from administrative and academic staff to make your learning experience in Paris a remarkable one.

::IN PADOVA::

If you choose to do the first semester at the University of Padova, you will get the opportunity to study in an institution with an incredible history. Not only does the University have the oldest University Botanical Garden in the world, you can also discover the ancient Palazzos, Astrological Observatory and historical collections in the museums. With about 65 000 students, the University of Padova is ranked as the leading Italian University, as well as being in the top 300 worldwide in the Shanghai rankings.

::PARTNERSHIP::

The following companies have shown their interest in the MSc in Investment Banking and Risk Management. As well as being members of the Scientific Comitee,
they will contribute to the taught-part of the programme and propose Internship offers in their companies: Société Générale (Risk and Capital Models Department), BRED (Department of Capital Markets), Blackridge Bank (President and CEO), Monte dei Paschi Siena (Head of Global Markets), DanskeBank (Head of Front Office Quantitative Applications), CONSOB (The Commissione Nazionale per le Società e la Borsa).

::BLOOMBERG TRADING ROOM::

The Pôle Léonard de Vinci has 12 Bloomberg terminals where you can simulate being a trader. The Bloomberg Trading room gives you the opportunity to familiarise yourself with the markets and its financial products, with the aim of becoming almost fully operational for your future employer. You will create
a network of contacts with the help of the Bloomberg Chat tool, where you can contact professionals and send them your CV.

USEFUL INFORMATION

::DURATION::

12 months of classes
4-6 months Company Mission/ Internship (you can do this anywhere in the world)

Intake : February

Tuition fees : 15 000 €

::ADMISSION REQUIREMENTS::

To apply for the MSc in Investment Banking and Risk Management the pre-requisites are as follows:

- A French Masters 1 Level Degree in Financial Mathematics/ Applied Mathematics or Engineering Sciences
- An international Bachelor’s degree in one of the above-mentioned subjects
- An international Bachelor’s degree in Physics

::HOUSING AND COST OF LIVING::

The cost of living will vary significantly dependent on your lifestyle. This is estimated to be between 1 000 and 1 500 € per month (housing, food, electricity…). The International Relations Department will provide you with housing options offered by our housing partners.

::FOR MORE INFORMATION::

Vaghé LUDINARD
International Programmes Manager
Pôle Universitaire Léonard de Vinci
Tel : +33 (0)1 41 16 70 86


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The web revolution has generated a social interactive environment that creates new business opportunities for enterprises. Many international software development enterprises such as IBM, HP, Microsoft, Google and SAS have their own social computing/media development teams. Read more
The web revolution has generated a social interactive environment that creates new business opportunities for enterprises. Many international software development enterprises such as IBM, HP, Microsoft, Google and SAS have their own social computing/media development teams. Other IT enterprises, such as Apple, Oracle, CISCO and Nokia, own products with social computing functions. Similarly, many national and international companies successfully turn significant profits through social network sites such as Facebook, LinkedIn, Yahoo, Twitter, Google, Myspace, Amazon, Sina Weibo, TaoBao, RenRen and QQ.

This programme addresses market demand by providing you with training for understanding, managing, developing, implementing and commercialising interactive social media on the internet. It will train you for advanced technical or managerial roles in new interdisciplinary areas of social informatics and internet computing. You will gain:
• theoretical and practical knowledge of key areas of social business and social computing in today’s industry and research
• key tools enabling you to enhance and apply your skills in management, design and implementation of IT-based solutions to social business and computation domains
• practical skills in research, analysis, realisation and evaluation of the technical or research documents in social commerce and social computing

You will complete eight in the first two semesters and a dissertation project in the third semester for a total duration of 18 months. The precise content of your dissertation project will be discussed and decided with your project supervisor and is subject to approval. The department is equipped with specialist lab facilities for operating systems, networking, mobile computing and multimedia technology that will support your learning and research.

Modules

Core Modules
• Cloud Computing
• Project Management
• Research Methods
• Social Media Marketing
• Social Network Analysis
• Social Web Programming
• Dissertation

Elective Modules
• Computer Systems Security
• Data Mining and Big Data Analytics
• Interactive Systems
• Object Oriented Programming
• Social Commerce

What are my career prospects?

Graduates from this programme will find employment research and development engineers, systems developers and project leaders in an IT companies. Some students choose to go on to further studies as a PhD candidate at XJTLU or a renowned overseas university.

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About the course. Accredited by the British Computer Society. If your first degree is in another subject but you want a career in computing, this course is for you. Read more

About the course

Accredited by the British Computer Society

If your first degree is in another subject but you want a career in computing, this course is for you. It will give you a solid grounding in software systems engineering and current topics in internet computing.

Prepare for your career

Our courses give you experience of how real-world projects work. We consult with big employers to ensure that you develop the skills and the personal qualities they’re looking for.

You’ll learn about the issues that matter in global business and industry. Our graduates go into academic and industrial research, the software industry, banking and finance. They work for companies such as Logica, IBM, Hewlett Packard, PWC, Vodafone, the BBC and HSBC.

About us

Our challenge is to use computation to understand all kinds of systems: computer systems, living systems and cognitive systems. Our research areas include robotics, machine learning, speech and language processing, virtual reality, computational systems biology and software verification and testing. It’s work that makes a difference to people’s lives.

Network and hardware

We have our own high-performance network so you can access our advanced computing facilities. There are labs for teaching smaller groups, wi-fi coverage throughout the department, and you can connect your own laptop to the network. Mobile devices and tablets are available for you to borrow for project work.

We also use specialised equipment: an immersive virtual reality facility, robotics hardware and an acoustic booth for speech processing research.

Core modules

  • Foundations of Object Oriented Programming
  • Network and Internetwork Architectures
  • Human Centred Systems Design
  • Professional Issues
  • Advanced Java Programming
  • Web Technologies
  • Cloud Computing
  • Maxi Project
  • Dissertation Project

Teaching and assessment

We use lectures, tutorials and group work. Assessment is by formal examinations, coursework assignments and a dissertation.



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Develop the industry-relevant skills and expertise to become an agile, adaptable computing specialist on our course programmes. This industry-facing course gives students whose first degree isn't in computing (or whose computing degree was awarded some time ago), the skills needed to become a practicing IT professional. Read more
Develop the industry-relevant skills and expertise to become an agile, adaptable computing specialist on our course programmes. This industry-facing course gives students whose first degree isn't in computing (or whose computing degree was awarded some time ago), the skills needed to become a practicing IT professional.

Featuring rigorous computer programming and database elements, the course is accompanied by a variety of compulsory modules providing the core knowledge to be an effective practitioner in the computing industry. These are combined with optional modules covering additional specialised subjects.

You will complete a project during the summer which will typically involve the design and implementation of a significant piece of software.

Key Course Features

-Provides an opportunity for postgraduate study for those whose first degree is not in computing.
-Provide specialist, technical skills in the areas of networking, or web and mobile development, or Professional Issues and Professional Practice.
-Produce practitioners with an advanced understanding of and competence with, the hardware and software available and/or needed for the development and use of computer systems.
-Enable students to access, critically appraise and disseminate research results.
-Lecture/tutorial and practical sessions are enhanced with additional, resource-rich, online materials allowing you to continue independent learning through a variety of approaches.
-Provides students with a sound basis for further research and/or professional development.

What Will You Study?

As with most masters programmes this has 2 parts, a taught part followed by a dissertation. Students study 6 modules of 20 credits each, followed by a 60 credit dissertation, making a total of 180 credits.

Four of the six taught modules are core and there are two optional themed modules. There are three themes to choose from:

Option A: Professional Issues and Professional Practice Theme
Option B: Networking Theme
Option C: Web and Mobile Application Design and Development Theme

CORE MODULES:
-Postgraduate Study & Research Methods
-Future & Emerging Technology
-Software Development: Object Oriented Programming
-Database Systems
-Dissertation

OPTIONAL MODULES:
Option A: Professional Issues and Professional Practice Theme
-IT Project Management
-Professional Challenges in Computing

Option B: Networking Theme
-Networking Hardware and Software
-Networking Techniques & Technologies

Option C: Web and Mobile Application Design and Development Theme
-Commercial Website Design & Development
-Internet and Mobile Application Development

The information listed in this section is an overview of the academic content of the programme that will take the form of either core or option modules. Modules are designated as core or option in accordance with professional body requirements and internal academic framework review, so may be subject to change.

Career Prospects

Successful completion of the course enables you to put greater focus on your future career in the field of Computing or the educational paths. You will have the knowledge and competence necessary to continue to develop professionally in the workplace. You might take the opportunity to progress to higher-level academic investigation.

It is expected that you will be able to gain employment at higher technical and managerial levels, develop particular specialist technical and consultative skills, and be capable of embarking upon Doctoral level study.

The Careers & Zone at Wrexham Glyndŵr University is there to help you make decisions and plan the next steps towards a bright future. From finding work or further study to working out your interests, skills and aspirations, they can provide you with the expert information, advice and guidance you need.

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This degree is ideal for anyone with a first degree in any Computing subject who wishes to accelerate their career as a software engineer. Read more

About the course

This degree is ideal for anyone with a first degree in any Computing subject who wishes to accelerate their career as a software engineer. It broadens your experience of the tools, methods and techniques used by professional software engineers, and focuses on the application of advanced software engineering, preparing you for responsible positions in the software industry.

It is available as a one year intensive course, or as a two year course, where the student spends a year gaining valuable experience in the software industry after the taught part of the degree, and can apply that experience to their final dissertation project. It can also be taken part-time.

The degree is accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional (CITP). This course also partially meets the Engineering Council's academic requirement for registration as a Chartered Engineer (CEng).

The most recent Research Excellence Framework (2014) assessment found that 100% of the impact research the department of Computer Science undertakes is world leading.

Course structure and content

Core modules:

Advanced Software Engineering
MSC Project
Machine Learning for Intelligent Systems
Mobile Solutions

Optional modules:

Enterprise Systems Development
Fundamentals of Intelligent Systems
Internet Technologies
Research Skills and Personal Development for Scientists
Statistical Concepts, Methods and Tools
The Object Oriented Programming Paradigm
Research Skills and Personal Development for Scientists (1520)

Contact time

Approximately 12 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.

Assessment

The taught part of the course is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation leads to the award of an MSc.

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This programme is designed to develop your understanding of the research process. It is for graduates from a computer-related discipline who wish to investigate research as a possible career, or who wish to extend their knowledge of one particular facet of computing. Read more
This programme is designed to develop your understanding of the research process. It is for graduates from a computer-related discipline who wish to investigate research as a possible career, or who wish to extend their knowledge of one particular facet of computing. This programme provides you with an MSc that allows you to focus on your desired specialism, whilst our international staff provide all necessary support.

This programme will equip you with comprehensive knowledge and understanding of:
• advanced theoretical fundamentals of current trends in computer science
• state-of-the-art key research issues in specialised areas of computer science
• techniques for project management and the design, implementation and evaluation of IT solutions

Students on this programme will undertake four taught modules corresponding to a third of the degree, typically in the first semester followed by a research project in the next two semesters for a total duration of 18 months. The precise content of the research project will be discussed and decided with the project supervisor and subject to approval, in the same way as for applications for PhD studies. Students will be qualified for positions that require an advanced understanding of computing in the chosen area, particularly where independence of thought and analytical skills are required. The department is equipped with specialist lab facilities for operating systems, networking, mobile computing and multimedia technology that will support the learning, teaching and research. The department is committed in providing world-class education and training. All the academic staff have extensive international experience in teaching, research and collaboration with industry. They are actively engaged in research of world quality with a large number of research publications every year, and have a successful record of attracting funding from various sources. By training at XJTLU, students will receive a unique education experience and benefit from the teaching and supervision of research by our staff, the well- designed programme and research projects, and transferable skills they will gain.

Modules

Core Modules
• Research Methods
• Project Management
• Dissertation Project

Elective modules
• Cloud Computing
• Data Mining and Big Data Analytics
• Interactive Systems
• Object Oriented Programming

What are my career prospects?

Graduates from this programme will find employment research and development engineers, systems developers and project leaders in IT companies, or will go on to further studies as a PhD candidate at XJTLU or a renowned overseas university.

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The Department of Computer Science at Aberystwyth has a strong research focus on techniques and applications of intelligent systems, working with many major companies. Read more

About the course

The Department of Computer Science at Aberystwyth has a strong research focus on techniques and applications of intelligent systems, working with many major companies. Our taught Masters degrees draw on this focus, and link to the expertise and interests of the Department. They are designed to meet the needs of both students wanting a foundation for a career in research, and those wanting to expand on their skills to accelerate their industrial career.

Contemporary software is frequently developed to function in distributed systems. Applications are deployed across multiple computers, interacting to provide services and to solve problems in a distributed way. This Masters course is suitable for students intending to pursue a career in the software industry, and is a qualifying Masters Degree for Chartered Engineer status. It can also lead to a career in research.

The course in Software Engineering is a two year full-time programme. This degree is the same as the one year MSc in Computer Science (Software Engineering) - G493, with the addition that the student spends a year working in industry after the taught part of the course.

Year one of the course is divided into two parts over three semesters. In part one, you will establish a breadth of necessary skills in a number of core modules whilst directing your own study by choosing specialist modules, worth a total of 120 credits. In part two, you will apply your learning in the individual dissertation worth an additional 60 credits.

Previous study topics have included: Transmission of MIDI music over internet connection, Designing a network intrusion detection system, Online results and statistics using web service technology, Supply chain management system applications and Prototype railway track measurement system.

Whatever your own previous experience or future aspiration, with this course you will benefit from the marvellous integration of cutting-edge theory and practical application, within a world-class department. The most recent Research Excellence Framework (2014) assessment found that 100% of the impact research the department of Computer Science undertakes is world leading.

Course content

Year 1

Core modules:

Advanced Software Engineering
Machine Learning for Intelligent Systems
Mobile Solutions

Optional modules:

Enterprise Systems Development
Fundamentals of Intelligent Systems
Internet Technologies
Research Skills and Personal Development for Scientists
Statistical Concepts, Methods and Tools
The Object Oriented Programming Paradigm
Research Skills and Personal Development for Scientists (1520)

Year 2

Core modules:

MSC Project
Sandwich Year (PG)

Optional modules:

Statistical Concepts, Methods and Tools

Contact time

Approximately 12 hours a week in the first two semesters. During semester three you will arrange your level of contact time with your assigned supervisor.

Assessment

The taught part of the course is delivered and assessed through lectures, student seminars, practical exercises, case studies, course work and formal examinations. The subsequent successful submission of your research dissertation leads to the award of an MSc.

Industrial Year

This degree is the same as the one year MSc in Computer Science (Software Engineering), with the addition that the student spends a year working in industry after the taught part of the course.

• Students study at Aberystwyth University from September to May, and are supported in applying for suitable jobs in the software
industry.
• They work in the UK from June to the following May.
• They return to Aberystwyth to complete their dissertation from June to September

The work in industry is paid employment, not just work experience. Typical annual salaries for an industrial year are between £11,000 and £15,000.

Students wishing to do the industrial year are assisted in finding a place in industry. There is assistance with preparing an appropriate CV, training in what to expect at an interview, and practice in being interviewed by experienced industry interviewers. The Department of Computer Science sends about 70 students each year for a year's experience in industry, and has many contacts in companies enthusiastic to take good students from Aberystwyth University.

As these are paid jobs for companies, we cannot guarantee any student a job - the companies select the employees they want. Students that are unable to find a job can complete the Masters degree without an industrial year.

There is an additional but much reduced fee for the year in industry (presently £800 for the year), and members of staff stay in touch electronically and by visiting students during the year.

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Year 1 Core (180 Credits). You must take the following modules. Semester 1. CHM5720 Internet Technologies. CSM2120 The Object Oriented Programming Paradigm. Read more
Year 1 Core (180 Credits)

You must take the following modules

Semester 1

CHM5720 Internet Technologies

CSM2120 The Object Oriented Programming Paradigm

CSM6120 Fundamentals of Intelligent Systems

Semester 2

CHM1320 Advanced Software Engineering

CSM2220 Mobile Solutions

CSM6420 Machine Learning for Intelligent Systems

Semester 3

CHM9360 MSC Project

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This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Read more
This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Students completing this course will have a firm grasp of the current practices and directions in computer systems and will be able to design and build for example, distributed systems for the Web using Internet, Intranet and other technologies.

Programme Objectives
To provide the foundations for understanding of core ideas, methods and technologies in computer science.
To provide the technical skills and background material so that the postgraduate will be able to conduct a near state-of-the-art research or development project;
To provide the graduate with a range of specialist and transferable skills;
To provide the educational base for further professional development and lifelong learning.
Course Topics
Data networks and communications, project foundations and management tools, broadband communication systems, technologies for Internet systems, agent technologies and Artificial Intelligence, introduction to distributed systems and mobile systems, project and dissertation.

Taught Modules:

Java programming: This module provides students with an in-depth understanding of current and emerging Java programming concepts and programming variations. The module teaches the basic and advanced structures of Java and makes use of the object-oriented approach to software implementation. It also gives an in-depth understanding of advanced Java concepts in the area of user interfaces and will enable students to apply the theoretical knowledge of the Java language onto a test-case software development scenario.

Introduction to distributed systems: This module will introduce key ideas in distributed Systems and its role and application in operating systems and middleware. On completion of this module students will have an understanding of the key issues for distributed systems at OS level or as middleware, they will understand core concepts of concurrency, be able to program multithreaded and distributed applications and understand the issues and use of algorithms for transactional systems.

Data networks and communications: This module will provide an in-depth understanding of how real communication networks are structured and the protocols that make them work. It will give the students an ability to understand in detail the process required to provide an end-to-end connection.

Technologies for Internet Systems: In this module, students will be introduced to state of the art technologies and tools for Internet Systems and in particular e-commerce systems.

Agent Technologies: This module provides an in-depth understanding of technologies from Artificial Intelligence research such as machine learning, data mining, information retrieval, natural language processing, and evolutionary programming. It will look at the application of agent-oriented technologies for Artificial Life, for building Web search engines, for use in computer games and in film (such as the MASSIVE software developed for the Lord of the Rings movies), and for robotics. It will also provide an introduction to agent-oriented programming using the NetLogo programming language.

Foundations of computer graphics: This module will teach techniques, algorithms and representations for modelling computer graphics and enable students to code 2D and 3D objects and animations.

Database systems: Students completing this module will gain an in depth understanding of DBMS/Distributed DBMS architecture, functionality, recovery and data storage techniques. Students will also have a full understanding of how queries are processed and the importance of database maintenance. This module is designed to enable students to perform research into one or two areas of databases; for example, object oriented databases and deductive databases.

Project foundations and management tools: This module prepares students for their MSc research project, including reference search and survey preparation and familiarisation with project management tools.

MSc Research project: After the successful completion of the taught component of the MSc programme, students will spend the remainder of the time undertaking a research project and producing an MSc Dissertation. During this process, students will conduct project work at state-of-the-art research level and to present this work as a written dissertation. Completing a project and dissertation at this level will train students in: problem solving; researching new topics; organizing knowledge; exercising elementary time and project management skills; reporting and writing skills.

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