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Masters Degrees (Databases)

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The Laboratory for Foundations of Computer Science (LFCS) continues to lead the way in the development of mathematical models, theories and tools that probe the possibilities of computation and communication. Read more

The Laboratory for Foundations of Computer Science (LFCS) continues to lead the way in the development of mathematical models, theories and tools that probe the possibilities of computation and communication.

Our students benefit from being part of one of the largest and strongest groups of theoretical computer scientists in the world.

Our research is aimed at establishing deep understanding of computation in its many forms. Using advanced mathematical principles, we create theories and software tools allowing fundamental capabilities of computation to be explored, as well as designing languages that can be used to construct safe and effective programs.

Areas of interest within LFCS include: algorithms and complexity, cryptography, databases, logic, programming languages and semantics, performance modeling, quantum computing, security and privacy, software modeling and testing, and verification.

Training and support

As a research student at LFCS, you will have access to our highly respected academic staff community, which includes Fellows of the Royal Society and a winner of a Blaise Pascal medal. Our students regularly receive ‘best paper’ awards at conferences.

You will carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.

A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

Our graduates are in high demand for postdoctoral academic roles. In addition, the skills you will graduate with can be applied to roles in industry, particularly finance, software development and consultancy.



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The GIS (Geographical Information Science) MSc provides an education in the theoretical, scientific and practical aspects of GIS. Read more
The GIS (Geographical Information Science) MSc provides an education in the theoretical, scientific and practical aspects of GIS. It prepares students for technical and analytical GIS roles and is in high demand; we have very close links with industry and the majority of our students find employment prior to contemplating their degree.

Degree information

Students gain a solid grounding in the scientific principles underpinning the computational and analytical foundations of GISc. Our staff are world-leading experts in the areas of programming location-enabled Apps, spatial and 3D databases, big spatio-temporal analytics, citizen science and and human computer interaction, and the MSc therefore is able to offer a wide range of options and specialisations.

Students undertake modules to the value of 180 credits. The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits). A Postgraduate Diploma, four core modules (60 credits), four optional modules (60 credits), full-time nine months is offered.

Core modules - core modules introduce the theory underpinning GIS, along with programming skills (python) and the basics of spatial analysis and statistcs. You'll learn to critically engage with GIS rather than just pushing buttons - how does the way data is captured and modelled influence the results of your analysis? Do you get the same results from two different GIS packages? Knowing what is inside the 'black box' means you understand analytical results and their limitations.
-GIS Principles and Technology
-Principles of Spatial Analysis
-Mapping Science
-Representations, Structures and Algorithms

Optional modules - term two is where you start to specialise, chosing modules that fit your interests, intended career choice and/or prepare you for your dissertation. At this point you can chose a heavilty technical route (e.g. databases, programming, human computer interaction) a more analytical route (spatio-temporal data mining, network and locational analysis, databases) or a mixture of the two routes. You will need to chose four modules in total. At least 30 credits of optional modules selected from :
-Geographical Information System Design
-Spatio-Temporal Analysis and Data Mining
-Web and Mobile GIS – Apps and Programming
-Spatial Databases and Data Management

Plus no more than 30 credits of optional modules (all term two) selected from :
-Airborne Data Acquisition
-Applied Building Information Modelling
-Network and Locational Analysis
-Image Understanding
-Ocean and Coastal Zone Management
-Positioning
-Research Methods
-Terrestrial Data Acquisition

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 10,000–15,000 words. Where appropriate, this may be undertaken in conjunction with one of our many industrial partners, including Arup, Joint Research Centre, British Red Cross, Transport for London.

Teaching and learning
The programme is delivered through lectures, practical classes, demonstrations and tutorials, and is supported by a series of external speakers from industry and visits to industrial who give weekly seminars describing how GIS is used in their field as well as what they are looking for when recruiting graduate GIS students. Assessment is through unseen examinations, group and individual coursework, formal and oral presentations, and the dissertation.

Careers

There are excellent employment prospects for our graduates, with starting salaries of around £25,000. Recent GIS graduates have found openings with large engineering design firms (such as Arup or WSP), specialist consultancy firms such as Deloitte or Informed Solutions, in leading professional software companies (such as ESRI or Google), with local authorities, for organisations such as Shell, Tesco, the Environment Agency, Transport for London, NHS and the Ordnance Survey.

Employability
Students will develop specific skills including a fundamental understanding of GIS and its application to real-world problems, through theoretical lectures covering the foundations of the science – how data is captured, map creation, generalisation, spatial data management, spatial analysis, data quality and error, and spatial algorithms. Students will develop strong technical (python, R, Java, HTML, Javascript, SQL) and analytical skills (data mining, human computer interaction and usability), and in order to fully understand the principles behind GIS will make use of multiple GIS packages, both proprietary and free/open source (ArcGIS, QGIS).

Why study this degree at UCL?

This highly regarded MSc has been running for nearly 30 years and is taught by internationally recognised academics. Our specialist GIS laboratory offers the latest open source and proprietary software and our unique dual focus on the computer science and analytical aspects of GIS means that you will be able to develop your skills in multiple directions.

Our close links with industry (a strong alumni group and weekly industrial seminars) mean that you will be able to directly link your classroom learning with your future career as a GIS professional; you can also undertake your dissertation with an industrial partner.

As well as weekly industrial seminars, you will have the option to do an industry-linked project, and you will be able to attend our annual GIS careers event, which is co-organized with the UK Assocation of Geographic Infrormation.

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This is a conversion course aimed at graduates with a first degree in a non-computing discipline who want to gain employment in the lucrative IT industry. Read more

This is a conversion course aimed at graduates with a first degree in a non-computing discipline who want to gain employment in the lucrative IT industry.

You begin by studying key computing topics including

  • introduction to databases and big data
  • computer programming and web development
  • introduction to technology and computer hardware
  • IT project management and modern development methods

These modules provide the background knowledge you need to develop more advanced skills later in the course. They allow you to become familiar with the major technologies and concepts that underpin the modern computing industry.

Your learning at this stage has a practical focus and you are encouraged to take part in technical development work.

You go on to study a specialist topic in more depth with the choice of • databases • big data • web and cloud technologies. These areas are very current within the computing industry and in high demand of qualified IT personnel.

You then take an industrial expertise module where you have the opportunity to engage in live projects for real clients. This gives you experience working in a team to identify client needs, plan projects and produce working solutions.

You may be able to study abroad as part of the Erasmus programme.

During the final part of the course you complete an individual project which is the equivalent of a dissertation. To prepare you for this project, you first take a module on research skills and principles. You gain an understanding of research methods and learn how to manage a project of this kind.

As well as submitting project materials, you also deliver an assessed presentation describing your work to an audience.

Course structure

Core modules

  • databases and big data
  • web and multimedia programming
  • technology and networking
  • project management methods
  • industrial expertise
  • research skills and principles
  • product development project

Optional modules

You choose one from

Databases

This covers • logical database design • data warehousing • big data and distributed systems.

Web and cloud technologies

This covers • cloud technologies • cloud applications • mobile applications.

Big data

This covers • big data and distributed systems • data quality • business intelligence in action.

Assessment

  • individual assignments
  • group work
  • practical projects
  • reports
  • presentations

Employability

This course prepares you for a career in the software industry. You graduate with the skills and knowledge to work in areas such as • database development • web application development • big data • software consultancy. The course offers flexibility by being able to adopt the latest technologies and standards to reflect what is being used in industry.

Our computing graduates have found employment in companies such as Sky, PlusNet and Sumo Digital in roles ranging from software tester to senior architect.



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Take your skills and knowledge to the next level with the best accounting and finance group in the world. Whether you want to further your professional career, or go on to study for a PhD, this course gives you the qualification you need to succeed. Read more

Take your skills and knowledge to the next level with the best accounting and finance group in the world. Whether you want to further your professional career, or go on to study for a PhD, this course gives you the qualification you need to succeed.

Course description

A career in accounting, financial services or related sectors of the economy requires a high level of understanding of both the theory and practice of accounting and finance. This course is designed to give you a broad-based understanding of the core subject areas with an emphasis on empirical research methods and on accounting and finance practice.

Our wide range of modules allows you to specialise and during the course you have the chance to build on your growing knowledge and expertise by completing a dissertation on a research area of your choice. This, coupled with the support you get from our staff, ensures a first class learning experience. 

The MSc Accounting and Finance is recognised by the Economic and Social Research Council as postgraduate preparation for a PhD. It also holds the award of partnership status from the CFA Institute, the global association for investment professionals.

CFA training

We have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams.

  • MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students who perform well in Semester one and show a strong interest in CFA will get free access to Kaplan's online training materials for CFA Part One.
  • Gain student support from Kaplan with access to tuition material, online question banks and progress tests, and mock exam runs. Plus tutor support and 1-2-1 sessions.
  • The CFA Program builds a strong foundation of advanced investment analysis and real-world portfolio management skills.
  • Take the first step to earning the Chartered Financial Analyst ® (CFA) credential to prepare for the Level I exam
  • The CFA is the most respected and recognised investment designation in the world.

Trading BootCamp Week

Together with Amplify Trading , a global financial trading and training firm, we offer a week long Trading BootCamp for MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students.

  • experience a live trading floor provided by two experienced traders with specialist software
  • engage with contemporary financial markets and apply your classroom theory in practice
  • watch live breaking news, economic data and geo-political events, and use your knowledge and skills in trading different asset classes
  • a fantastic opportunity to prepare you for successful careers after graduation.

The Finance Zone   

Special features

Worshipful Company of International Bankers Affiliation

Our accounting and finance division courses are affiliated with the Worshipful Company of International Bankers (WCIB). Every year the best dissertation out of the following four courses will receive the WCIB Prize worth £300.

  • MSc Accounting 
  • MSc Accounting and Finance
  • MSc Finance
  • MSc Quantitative Finance

The winner will also enter the competition for the prestigious WCIB Lombard Prize . 

Coursework and assessment

Assessment is by taught examinations, coursework, assignments, group assessment and presentations and finally by a 60 credit dissertation.

Course unit details

During the course you will be taking 180 credits in all. The eight taught modules during semester one and two total 120 credits and consists of both compulsory and optional taught units which can be viewed in the list below.  

Over the summer period, you will carry out your Research Dissertation, worth 60 credits. Examples of recent accounting and finance dissertation project topics include:

  • Performance reporting by UK listed firms under IFRS
  • Audit practice and professionalization
  • Management control systems in organisations
  • Field-based qualitative research on management accounting innovation and change
  • Audit markets in emerging economies
  • Corporate governance and quality of earnings

Scholarships and bursaries

Masters scholarships for Accounting and Finance programmes for UK/EU students

We are delighted to be able to offer five scholarships available across the four Accounting and Finance programmes with a value of £10,000 towards the cost of the tuition fee. The scholarships will be awarded in line with our scholarship deadlines so early application is advisable.  Find out more>>.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Careers

The course provides suitable training for those who wish to take up specialist positions in the accounting and financial services sector of the economy or those who wish to subsequently pursue a research and/or an academic career via a PhD in Accounting and Finance. Many students go on to work in the financial sector either in the City or across other sectors.



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Investing in an MSc Finance adds up to a great career and you gain valuable quantitative skills that are in high demand by employers. A dissertation, focusing on empirical research, allows you to explore your chosen area of interest in detail, and you are supported throughout by our high-calibre staff. . Read more

Investing in an MSc Finance adds up to a great career and you gain valuable quantitative skills that are in high demand by employers. A dissertation, focusing on empirical research, allows you to explore your chosen area of interest in detail, and you are supported throughout by our high-calibre staff. 

Recent graduates have accepted positions in the City, with the `Big 4' global financial services firms, major world banks and financial institutions.

CFA training

We have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams.

  • MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students who perform well in Semester one and show a strong interest in CFA will get free access to Kaplan's online training materials for CFA Part One.
  • Gain student support from Kaplan with access to tuition material, online question banks and progress tests, and mock exam runs. Plus tutor support and 1-2-1 sessions.
  • The CFA Program builds a strong foundation of advanced investment analysis and real-world portfolio management skills.
  • Take the first step to earning the Chartered Financial Analyst ® (CFA) credential to prepare for the Level I exam
  • The CFA is the most respected and recognised investment designation in the world.

Trading BootCamp Week

Together with Amplify Trading , a global financial trading and training firm, we offer a week long Trading BootCamp for MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students.

  • experience a live trading floor provided by two experienced traders with specialist software
  • engage with contemporary financial markets and apply your classroom theory in practice
  • watch live breaking news, economic data and geo-political events, and use your knowledge and skills in trading different asset classes
  • a fantastic opportunity to prepare you for successful careers after graduation.

The Finance Zone   

Special features

Worshipful Company of International Bankers Affiliation

Our accounting and finance division courses are now affiliated with the Worshipful Company of International Bankers (WCIB). Every year the best dissertation out of the following four courses will receive the WCIB Prize worth £300.

  • MSc Accounting 
  • MSc Accounting and Finance
  • MSc Finance
  • MSc Quantitative Finance

The winner will also enter the competition for the prestigious WCIB Lombard Prize . 

Coursework and assessment

Assessment is by a combination of group assessment and presentations, course work, assignments and examinations. The dissertation normally ranges between 30 and 50 double spaced pages.

Course unit details

During the course you will be taking 180 credits in all. The eight taught modules during semester one and two total 120 credits and consists of both compulsory and optional taught units which can be viewed in the list below.  

Over the summer period, you will carry out your Research Dissertation, worth 60 credits. Examples of recent Finance dissertation project topics include:

  • Financial reporting regulation
  • The role of institutional investors in corporate governance
  • Managerial compensation and corporate governance
  • Momentum investing
  • Capital structure and cash holding decisions
  • Dual-class firms and corporate takeover
  • Debt IPOs, adviser switching, contracting, governance, performance and venture capital backing
  • Can exchange rates forecast macroeconomic fundamentals?
  • Over-allocation and stabilisation of initial public offerings (IPOs)

Scholarships and bursaries

Masters scholarships for Accounting and Finance programmes for UK/EU students

We are delighted to be able to offer five scholarships available across the four Accounting and Finance programmes with a value of £10,000 towards the cost of the tuition fee. The scholarships will be awarded in line with our scholarship deadlines so early application is advisable.  Find out more>>.

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

The course provides training for a research degree and general training for those who wish to take up specialist positions in Finance (such as a Financial Analyst) or those who wish to subsequently pursue a research and/or an academic career via a PhD in Finance.

More details on our Careers Service.

Latest information on visa changes and opportunities in the UK for international students.

Accrediting organisations

The course conforms to the present ESRC guidelines for Masters degrees and has ESRC recognition as a postgraduate training year in preparation for undertaking a PhD. 

The course has partnership with the Chartered Financial Analyst Institute.



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The course is particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics (see  . Read more

The course is particularly suitable for students with a degree in Finance, Financial Economics, Actuarial Science, Engineering, and Mathematics (see  entry requirements ), as well as relevant work experience (non-compulsory). It is also suited to those wishing to gain salary enhancements, or students wishing to pursue advanced studies in quantitative finance.

  • Learn how to forecast and manage risk and return
  • Gain the skills to price any financial instrument
  • Learn how to engineer new methods and financial products
  • Build advanced knowledge of the main theoretical and applied concepts in quantitative finance, financial engineering and risk management, using current issues to stimulate your thinking
  • Prepare for careers involving the design and management of new financial instruments, the development of innovative methods for measuring, or predicting and managing risk.

CFA training

We have teamed up with Kaplan Schweser to facilitate student preparation for the CFA exams.

  • MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students who perform well in Semester one and show a strong interest in CFA will get free access to Kaplan's online training materials for CFA Part One.
  • Gain student support from Kaplan with access to tuition material, online question banks and progress tests, and mock exam runs. Plus tutor support and 1-2-1 sessions.
  • The CFA Program builds a strong foundation of advanced investment analysis and real-world portfolio management skills.
  • Take the first step to earning the Chartered Financial Analyst ® (CFA) credential to prepare for the Level I exam
  • The CFA is the most respected and recognised investment designation in the world.

Trading BootCamp Week

Together with Amplify Trading , a global financial trading and training firm, we offer a week long Trading BootCamp for MSc Accounting, MSc Accounting and Finance, MSc Finance and MSc Quantitative Finance course students.

  • experience a live trading floor provided by two experienced traders with specialist software
  • engage with contemporary financial markets and apply your classroom theory in practice
  • watch live breaking news, economic data and geo-political events, and use your knowledge and skills in trading different asset classes
  • a fantastic opportunity to prepare you for successful careers after graduation.

The Finance Zone   

Special features

Worshipful Company of International Bankers Affiliation

Our accounting and finance division courses are now affiliated with the Worshipful Company of International Bankers (WCIB). Every year the best dissertation out of the following four courses will receive the WCIB Prize worth £300.

  • MSc Accounting 
  • MSc Accounting and Finance
  • MSc Finance
  • MSc Quantitative Finance

The winner will also enter the competition for the prestigious WCIB Lombard Prize . 

Coursework and assessment

The course teaching is shared by Alliance Manchester Business School and the School of Mathematics, and delivered through lectures, case studies, seminars and group project-based work. Assessment varies depending on course units taken. It may include a combination of course work and examination. The dissertation normally ranges between 30 and 50 double spaced pages.

Course unit details

During the course you will be taking 180 credits in all. The eight taught modules during semester one and two total 120 credits and consists of both compulsory and optional taught units which can be viewed in the list below.  

Over the summer period, you will carry out your Research Dissertation, worth 60 credits. The dissertation gives you the opportunity to apply what you have learned in the taught part of the course. Our topics are aligned with the research interests of leading financial institutions from the City of London and internationally.

Examples of recent dissertation project topics include:

  • Approximation of CVA/DVA/FVA
  • FVA and MM - quantitative analysis/illustration Continuous rainbow options on commodity outputs
  • Investigating dynamics and determinants of risk-neutral PDs
  • Using hazard models to forecast corporate bankruptcy
  • Analysing asset pricing implications from real options models
  • Pricing sovereign CDS contracts
  • Estimating liquidation probabilities of hedge funds

Scholarships and bursaries

Masters scholarships for Accounting and Finance programmes for UK/EU students

We are delighted to be able to offer five scholarships available across the four Accounting and Finance programmes with a value of £10,000 towards the cost of the tuition fee. The scholarships will be awarded in line with our scholarship deadlines so early application is advisable. Find out more>>

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

This course provides ideal preparation for a career in the finance industry specialising in designing and trading financial instruments. These financial engineers are expected to be proficient in computer programming and strong in financial mathematics. They have to be at ease with complex derivatives and creative enough to find solutions for pricing and hedging. The course also provides research skills for those who wish to pursue an academic career by studying at doctoral level.

Click here for information on our Careers Service.

Click here for the latest information on visa changes and opportunities in the UK for international students.



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The MSc Law and Finance programme is offered jointly by the Centre for Commercial Law Studies (within the School of Law,) and the School of Economics and Finance at Queen Mary, to fill a significant gap in the current academic and professional training market in the UK and Europe. Read more

Overview

The MSc Law and Finance programme is offered jointly by the Centre for Commercial Law Studies (within the School of Law,) and the School of Economics and Finance at Queen Mary, to fill a significant gap in the current academic and professional training market in the UK and Europe. It will equip you with the knowledge, skills and practical tools needed to gain a thorough understanding of global economics and finance, and how this area is regulated by law. Such interdisciplinary skills are needed in order to manage the financial crisis and regulate the market effectively.

You can learn from and interact with some of the best academics and industry experts in their fields, many of whom advise and work with numerous leading institutions including the World Bank, national and international governments, the European Central bank, the IMF, the Bank of England, the European Union, the WTO, the Federal Reserve Bank of New York, Bloomberg, leading UK and International Banks, the FSA and leading International law and accountancy firms.

This programme will:

* Enhance your career options by allowing you to specialise in the highly sought after interdisciplinary areas of law, economics and finance.
* Allow you to tailor the programme to suit your interests by choosing one of four pathways: General; Banking and financial services; Law and financial regulation; or, Law and corporate finance.
* Provide you with the theory, knowledge, practical skills and latest developments required to work in both emerging and established economies in legal, banking, financial, governmental or research institutions.
* Provide professional module exemptions for the CISI (Chartered Institute for Securities & Investment) Masters in Wealth Management and the CBI Chartered Banker Diploma.

Why study your MSc in Law and Finance at Queen Mary?

The School of Law is firmly established as a centre of national and international excellence in legal studies and research, with leading academics in the field of banking, finance, regulation, insolvency, international commercial law and insurance law, including Professors Rosa Lastra, Philip Rawlings, George Walker, Rodrigo Olivares-Caminal and Dr Leon Vinokur.

High profile guest lecturers teaching on the courses have recently included Sean Hagan, General Counsel and Director of the Legal Department at the International Monetary Fund (IMF), Graham Nicholson, Chief Legal Advisor, Bank of England, Mr Lee Buchheit, Partner, Cleary Gottlieb Steen & Hamilton LLP, USA.

The School of Economics and Finance is one of the top economics schools in the country, with particular expertise in economic theory, econometrics and finance, and applied economics

You will have invaluable contributions from respected City practitioners and industry experts including banks, fund management businesses, who also teach students, bringing practical insights in to the classroom by applying the theory to real world scenarios.

You will have access to an unparalleled set of optional short courses designed to equip you with further practical training and key technical skills that are highly valued in the Financial Sector.

State-of-the-art facilities such as a virtual trading floor, which provides exclusive access to the latest technology and financial software used in the banking and finance industry, and access to specialised financial and economic databases and software used by economists in finance or in government for data analysis and simulation.

Facilities

You will have access to facilities and equipment at both Schools, including the Postgraduate School of Law Centre in Lincoln's Inn Fields, Holborn, based in the legal district of London, which comprises of workstations, wireless internet access, projectors and a common room.

As well as housing the Law Library and a European Documentation Centre, the Queen Mary Library at Mile End provides access to all the main British, European and international textbooks, law reports and periodicals and also offers one of the best commercial law collections in the country. Through the University of London College network, students have access to an unrivalled range of electronic law journals and databases.

In addition, Queen Mary provides free access to extensive online databases and collections including: Lexis, Nexis, Westlaw, Justis, Eur-lex, Hein-Online, Business Source Complete, Index to Legal Periodicals, International Court of Justice Reports, Kluwer Arbitration, Oxford Scholarship Online (Law), Reports of Patent, Design and Trademark Cases, UK Statute law database and United Nations Treaty Collection.

You will be able to access the well-stocked law library at the University of London’s Institute of Advanced Legal Studies (IALS). The Institute, located at Russell Square, a few minutes’ walk from Lincoln’s Inn Fields, is one of the major law libraries worldwide. You will also have access to the University of London Library at Senate House.

The School of Economics and Finance is able to offer excellent facilities and resources to its students.

IT Software
* Real Time Data/Trading Software: Queen Mary is one of the few UK universities offering training and access to both Reuters and Bloomberg trading terminals (in our designated trading room) as well as Interactive Brokers Trader Workstation (TWS) and FXCM FX Trading Station.
* Time Series Data Software: A full range of economic and financial data is available through DataStream, Macrobond and the WRDS platform (including Bankscope and CRSP).
* Statistical Analysis Software: A wide range of Econometric software including Eviews, Stata, Matlab, Gauss etc.

Computers Rooms
* 2 computers labs with 70 PC s and designated printers.

Trading Room
* Designated Trading Room offering training and access to Reuters, Bloomberg, Interactive Brokers Trader Workstation (TWS) and FXCM FX Trading Station.

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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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Would you like to expand your knowledge on an environmental topic at masters level -. These are all 15 credit point masters level modules. Read more
Would you like to expand your knowledge on an environmental topic at masters level -

These are all 15 credit point masters level modules.

Short courses running 2016/2017

Principles of GIS - start date 26th September 2016

This module introduces the theory and practice of Geographic Information Systems, and is intended to provide an understanding of the breadth of potential GIS applications and to equip students with key concepts and skills relating to the input, management, manipulation, analysis and output of spatial data. Lecture-based teaching of key concepts is reinforced by linked practical exercises which allow students to develop competence in ESRI’s ArcGIS package. The module assumes no prior knowledge or experience of GIS.

Remote Sensing - start date 26th September 2016

This postgraduate module offers students the opportunity to study the principles and applications of remote sensing and image analysis and to explore links between remote sensing and GIS. Students are expected to become familiar with theoretical foundations and are allowed to demonstrate technical principles through a series of software-based practical exercises using ERDAS Imagine 2013.

GIS Databases - start date 7th November 2016

This module examines the role of databases within the GI industry. It aims to enable students to appreciate the need for database skills that are used in GIS applications. The module is interactive and discussions about a range of spatial issues are incorporated within the lectures. A range of database skills are introduced which equip the student with knowledge of the potential and scope of databases within various applications. Students will be introduced to a range of open source DBMS and GIS software including MySQL, PostgreSQL, PostGIS and Quantum GIS.

GIS in Business & Society- start date 30th January 2017

This module introduces GIS-relevant management and decision making concepts in business and society. The module investigates the various decision-making capabilities of GIS, within management and spatial data analysis. Planning, design, error handling, decision support techniques and advanced spatial analysis are examined within the overall implementation of GIS projects, using lecture material, tutorial discussion and group work to enable students to gain an understanding of the potential value of GIS across a broad range of application areas. The module assumes no prior knowledge or experience of GIS.

Web-based GIS - start date 13th March 2017

This module examines the role of programming within the GI industry. It aims to enable students to appreciate the need for programming skills that can be used to customise and develop applications. The module is interactive and discussions about a range of programming issues are incorporated within the lectures. A range of programming skills is introduced which equip the student with knowledge of the potential and scope of programming within various applications.

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Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation. Read more

Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation.

The Geographical Information Systems (GIS) pathway aims to provide students with a broadly based postgraduate qualification in the field of GIS. Importantly, it offers students choice in the selection of their application area (with a range of units available). The pathway helps students to develop an in-depth knowledge of the issues involved in applying GIS to solving spatial problems with an understanding of the constraints imposed by the application area(s) and the interactions between data, methods, people, and technology.

The first year of study (equivalent to PgC in GIS) involves three core units:

Foundations of GIS -

This unit provides a wide-ranging introduction to the concepts, theories, methods, and application of Geographical Information Systems and Science.

Geodata: Spurces, Standards and Quality -

This unit will provide students with an appreciation of how spatial data are created and sourced to meet the requirements of different geospatial applications, and how error and uncertainty can impact upon data quality.

Spatial Databases -

This unit will provide the student with a solid foundation in the theory and practice of databases in general and spatial databases in particular.

The second year of study (equivalent to the PgD in GIS) involves one core and two elective units:

Research Methods in the Spatial Sciences -

This unit supports students in their research journey focusing on the identification of GI Systems and Science research problems and suitable strategies (including advanced spatial analysis methods) to investigate them.

Two elective units are chosen from:

Environmental Analysis and Modelling -

This unit introduces case study examples of how GIS analysis and environmental modelling can be used in environmental applications and seeks to critically evaluate their potential value.

Earth Observation for GIS -

This unit provides students with an introduction to the principles of Earth Observation and explores its role in data gathering (including recent sensor developments) and information extraction for GIS applications.

Data Analytics -

The aim of the unit is to teach students advanced theories and skills to creatively and critically analyse large, complex geographical datasets.

The final year of study (the MSc stage) requires the student to design and undertake a substantial and unique independent research project, to be presented as an academic dissertation (max. of 15,000 words).



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The Higher Diploma in Applied Computing Technology is a CONVERSION COURSE open to graduates from non-computing disciplines. Read more
The Higher Diploma in Applied Computing Technology is a CONVERSION COURSE open to graduates from non-computing disciplines. The course provides you with an understanding of the principles of internet-based computer systems and will equip you with a range of core IT skills, including web design, web server configuration, managing and manipulating multimedia content, interfacing with databases and working with common office software.

Visit the website: http://www.ucc.ie/en/cko08/

Course Details

The Higher Diploma is offered as a one year full-time or a two years part-time.

This is a CONVERSION COURSE and is intended for graduates who do not have Computer Science Degree and would like to attain skills in demand by the IT sector.

Format

A typical five credit module includes:
• two lecture hours
• one to two hours of practicals per week
• outside these regular hours, you are required to study independently

Full-Time Mode

Full-Time students take 60 credits as follows: 30 credits in teaching period 1 and 30 credits in period 2.

CS1117 Introduction to Programming (15 credits) - Dr. Jospeh Manning
CS5002 Web Development 1 (5 credits) - Dr. Frank Boehme
CS5007 Computer Applications with Visual Basic (5 credits) - Dr. James Doherty
CS5008 Internet Computing (5 credits) - Mr. Adrian O'Riordan
CS5009 Multimedia (5 credits) - Prof. James Bowen
CS5018 Web Development 2 (5 credits) - Dr. Derek Bridge
CS5019 Systems Organization I (5 credits) - Prof. John Morrison
CS5020 Systems Organization II (5 credits) - Prof. John Morrison
CS5021 Introduction to Relational Databases (5 credits) - Dr. Kieran Herley
CS5022 Database Design and Administration (5 credits) - Mr. Humprey Sorensen

Part-Time mode

Part-Time students take 30 credits in each of the two academic years as follows:

- Year 1 -

CS1117 Introduction to Programming (15 credits) - Dr. Joseph Manning
CS5002 Web Development 1 (5 credits) - Dr. Frank Boehme
CS5018 Web Development 2 (5 credits) - Dr. Derek Bridge
CS5021 Introduction to Relational Databases (5 credits) - Dr. Kieran Herley

- Year 2 -

CS5007 Computer Application with Visual Basic (5 credits) - Dr. James Doherty
CS5008 Internet Computing (5 credits) - Mr. Adrian O'Doherty
CS5009 Multimedia (5 credits) - Prof. James Bowen
CS5019 Systems Organization I (5 credits) - Prof. John Morrison
CS5020 Systems Organization II (5 credits) - Prof. John Morrison
CS5022 Database Design and Administration (5 credits) - Mr. Humphrey Sorensen

Further details on the content and modules are available on the Postgraduate College Calendar - http://www.ucc.ie/calendar/postgraduate/Diploma/Science/page14.html

Assessment

The Higher Diploma in Applied Computing Technology will be examined through a combination of end-of-year exams and module assignments.

Careers

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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We offer a suite of Masters programmes at Stirling. This is a one year, full time taught MSc. designed to lead to a job in data science or analytics. Read more

Introduction

We offer a suite of Masters programmes at Stirling.
This is a one year, full time taught MSc. designed to lead to a job in data science or analytics.
Big Data skills are in high demand and they attract high salaries. The MSc Big Data at the University of Stirling is a taught advanced Master's degree covering the technology of Big Data and the science of data analytics.
The course is taught in the beautiful Stirling campus in the heart of Scotland with support from companies who recruit data scientists.
The course covers Big Data technology, advanced analytics and industrial and scientific applications. The syllabus includes:
- Mathematics for Big Data
- Python scripting
- Big Data theory and computing foundations
- Big databases and NoSQL
- Analytics, machine learning and data visualisation
- Optimisation and heuristics for big problems
- Hadoop and MapReduce
- Scientific and commercial applications
- Student projects

Key information

- Degree type: MSc
- Duration: One year
- Start date: September
- Course Director: Kevin Swingler

Course objectives

- An understanding of the issues of scalability of databases, data analysis, search and optimisation
- The ability to choose the right solution for a commercial task involving big data, including databases, architectures and cloud services
- An understanding of the analysis of big data including methods to visualise and automatically learn from vast quantities of data
- An appreciation of the size of search spaces in large problems and the ability to choose an appropriate heuristic to find a near optimal solution
- The programming skills to build simple solutions using big data technologies such as MapReduce and scripting for NoSQL, and the ability to write parallel algorithms for multi processor execution.

English language requirements

If English is not your first language you must have one of the following qualifications as evidence of your English language skills:
- IELTS: 6.0 with 5.5 minimum in each skill
- Cambridge Certificate of Proficiency in English (CPE): Grade C
- Cambridge Certificate of Advanced English (CAE): Grade C
- Pearson Test of English (Academic): 54 with 51 in each component
- IBT TOEFL: 80 with no subtest less than 17

For more information go to English language requirements https://www.stir.ac.uk/study-in-the-uk/entry-requirements/english/

If you don’t meet the required score you may be able to register for one of our pre-sessional English courses. To register you must hold a conditional offer for your course and have an IELTS score 0.5 or 1.0 below the required standard. View the range of pre-sessional courses http://www.intohigher.com/uk/en-gb/our-centres/into-university-of-stirling/studying/our-courses/course-list/pre-sessional-english.aspx .

Structure and content

Our Big Data MSc is a mix of practical technology such as Hadoop, NoSQL, and Map-Reduce, important maths and computing theory, and advanced computational techniques. The course will teach you what you need to know to collect, manage and analyse big, fast moving data for science or commerce

REF2014

In REF2014 Stirling was placed 6th in Scotland and 45th in the UK with almost three quarters of research activity rated either world-leading or internationally excellent.

Strengths

Stirling is a member of The Data Lab, which is an Innovation Centre with the aim of developing the data science talent and skills required by industry in Scotland. The data lab with facilitate industry involvement and collaboration and provide funding and resources for students.
The Stirling MSc in Big Data has been developed in partnership with global and local companies who employ data scientists. HSBC have a development centre in Stirling and have provided some very interesting Big Data projects to our students. Amazon’s development centre in Scotland is close by in Edinburgh. The course features a long summer project, generally in partnership with a company or technology provider, that provides students with a showcase of their skills to take to employers or launch online.
We also have a programme of invited speakers from industry who give the students a chance to ask questions of people who are doing data science every day. Recent companies have included MongoDB, SkyScanner and HSBC.

Career opportunities

Demand for people with big data skills is projected to grow rapidly in the coming years. Average salaries are higher in Big Data jobs than the IT average and the skills shortage will make that gap bigger.
The Stirling Big Data MSc is run in partnership with industry and is designed to produce graduates with the skills that companies need.
e-Skills UK estimate that:
- The number of Big Data jobs in the UK rose by 41% from 2012 - 2013
- By 2020 there will be 56,000 Big Data jobs in the UK alone
- Big Data professionals earn on average 31% more than other IT professionals
- 77% of companies say it is difficult to recruit people with the Big Data skill they need

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The LLM Law and Economics is a joint programme offered by the Centre for Commercial Law Studies and the School of Economics and Finance at Queen Mary University of London. Read more

Overview

The LLM Law and Economics is a joint programme offered by the Centre for Commercial Law Studies and the School of Economics and Finance at Queen Mary University of London. It is a specialist programme which aims to provide rigorous training in theoretical and applied economic analysis as a means of analysing law and the legal framework. It is designed for students with an academic background in Law or Economics.

This Masters in Law course will enable lawyers to master a new discipline and to consider financial and economic dilemmas, and allow economists to comprehend the rationale for regulation and how to think like a lawyer.

This course is ideal for you if you are already in, or plan a career in, law or economics in academia, the public sector, international institutions, the financial or legal industry or consulting.

This programme will:

* Enhance your career options by allowing you to specialise in the highly sought after interdisciplinary areas of law, economics and finance.
* Provide you with the theory, knowledge, practical skills and latest developments required to work in both emerging and established economies in legal, banking, financial, governmental or research institutions.
* Give you the chance to meet leading practitioners in banking, finance and law.

Institute of Global Law, Economics and Finance

The Institute for Global Law, Economics and Finance (IGLEF) at Queen Mary is a forum for stimulating and conducting interdisciplinary research and disseminating knowledge on the areas of law, economics and finance.

Why study LLM in Law and Economics at Queen Mary?

The School of Law is firmly established as a centre of national and international excellence in legal studies and research, with leading academics in the field of banking, finance, regulation, insolvency, international commercial law and insurance law, including Professors Rosa Lastra, Philip Rawlings, George Walker, Rodrigo Olivares-Caminal and Dr Leon Vinokur.

High profile guest lecturers teaching on the courses have included Sean Hagan, General Counsel and Director of the Legal Department at the International Monetary Fund (IMF), Graham Nicholson, Chief Legal Advisor, Bank of England, Mr Lee Buchheit, Partner, Cleary Gottlieb Steen & Hamilton LLP, USA.

The School of Economics and Finance is one of the top economics schools in the country, with particular expertise in economic theory, econometrics and finance, and applied economics including Professors Francis Breedon, Emmanuel Guerre, Marco Manacorda, Xavier Mateos-Planas, Dr Leone Leonida and Dr Ioannis Kokkoris.

You will have invaluable contributions from respected City practitioners and industry experts including banks, fund management businesses, who also teach students, bringing practical insights in to the classroom by applying the theory to real world scenarios.

You will have access to an unparalleled set of optional short courses designed to equip you with further practical training and key technical skills that are highly valued in the Financial Sector.

State-of-the-art facilities such as a virtual trading floor, which provides exclusive access to the latest technology and financial software used in the banking and finance industry, and access to specialised financial and economic databases and software used by economists in finance or in government for data analysis and simulation.

Hui Zheng, Allen & Overy, gave a guest lecture on this programme. He said:

“Mastering the complexities of economics and finance is essential for anyone intending to become an effective international corporate or banking lawyer”

Facilities

You will have access to facilities and equipment at both Schools, including the Postgraduate School of Law Centre in Lincoln's Inn Fields, Holborn, based in the legal district of London, which comprises of workstations, wireless internet access, projectors and a common room.

As well as housing the Law Library and a European Documentation Centre, the Queen Mary Library at Mile End provides access to all the main British, European and international textbooks, law reports and periodicals and also offers one of the best commercial law collections in the country. Through the University of London College network, students have access to an unrivalled range of electronic law journals and databases.

In addition, Queen Mary provides free access to extensive online databases and collections including: Lexis, Nexis, Westlaw, Justis, Eur-lex, Hein-Online, Business Source Complete, Index to Legal Periodicals, International Court of Justice Reports, Kluwer Arbitration, Oxford Scholarship Online (Law), Reports of Patent, Design and Trademark Cases, UK Statute law database and United Nations Treaty Collection.

You will be able to access the well-stocked law library at the University of London’s Institute of Advanced Legal Studies (IALS). The Institute, located at Russell Square, a few minutes’ walk from Lincoln’s Inn Fields, is one of the major law libraries worldwide. You will also have access to the University of London Library at Senate House.

The School of Economics and Finance is able to offer excellent facilities and resources to its students.

IT Software

Real Time Data/Trading Software: Queen Mary is one of the few UK universities offering training and access to both Reuters and Bloomberg trading terminals (in our designated trading room) as well as Interactive Brokers Trader Workstation (TWS) and FXCM FX Trading Station.
Time Series Data Software: A full range of economic and financial data is available through DataStream, Macrobond and the WRDS platform (including Bankscope and CRSP).
Statistical Analysis Software: A wide range of Econometric software including Eviews, Stata, Matlab, Gauss etc.
Computers rooms

2 computers labs with 70 PC s and designated printers.
Trading Room

Designated Trading Room offering training and access to Reuters, Bloomberg, Interactive Brokers Trader Workstation (TWS) and FXCM FX Trading Station.

Find out more about the course structure: http://www.qmul.ac.uk/postgraduate/taught/coursefinder/courses/121407.html

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The world is awash with data and much more is on the way, creating a tidal wave of Big Data. Data Engineers develop the infrastructure to store, manage, analyse this wave of data, to bridge the gap between Data and Computer Science. Read more
The world is awash with data and much more is on the way, creating a tidal wave of Big Data. Data Engineers develop the infrastructure to store, manage, analyse this wave of data, to bridge the gap between Data and Computer Science. This unique course will give you the skills you’ll need to succeed as a Data Engineer.

Why study Data Engineering at Dundee?

The role of “Data Scientist” has been described as the “sexiest job of the 21st Century. However, there is a emerging a new role, that of Data Engineer as more companies are realising they need employees with specific skills to handle the amount of data that is being generated and the coming tidal wave from the Internet of Things.

This MSc has been created with industry input to prepare its students with the skills to handle this wave of data and to be at the forefront of its exploitation. Students on the sister programmes (“Data Science” and “Business Intelligence”) have gone on to work for some of the biggest companies in the industry and we are confident that graduates from this MSc will have the same success.

The School of Computing at the University of Dundee has been successfully offering related MSc programmes such as Business Intelligence and Data Science since 2010. These innovative programmes attract around 40 students per year, drawn from across Europe and Overseas.

What's so good about Data Engineering at Dundee?

Our facilities:
You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Special features

The University of Dundee has close ties with the Big Data industry, including Teradata, Datastax and Microsoft. We have worked with SAS, Outplay, Tag, GFI Max, BrightSolid and BIPB, and our students have enjoyed guest lectures from Big Data users such as O2, Sainsbury’s, M&S and IBM.

You will be able to work with a range of leading researchers and tutors, including top vision and imaging researchers and BI experts. Our honorary staff include legal experts, entrepreneurs and renowned industry experts such as John Richards of the newly formed IBM Watson Group.

How you will be taught

The course will be taught by staff of the School of Computing. Depending on the modules you take this will include Andy Cobley, Professor Mark Whitehorn, and Professor Stephen McKenna.

What you will study

The course will be taught in 20 credit modules with a 60 credit dissertation. Students will require to complete 180 credits for the award of the MSc (including 60 credits for the dissertation). Students completing 120 credits (without the dissertation) will be eligible for a Postgraduate Diploma.

Course content

Each module on the course is designed to give the student the skills and understanding they need to succeed in the Data Engineering/ Science field. Content on the course includes (but is not limited to):

CAP theorem
Lamda Architecture
Cassandra, Neo4j and other nosql databases
The Storm distributed real time computation system
Hadoop, HDFS, MapReduce, and other Hadoop/SQL technologies
Spark and Shark frameworks
Data Engineering languages such as Python, erlang, R, Matlab
Vision systems, which are becoming increasingly important in data engineering for extracting features from large quantities of images such as from traffic, medical and industrial
RDBMS systems which will continue to play an important role in data handing and storage. You will be expected to research the history of RDMBS and delve in to the internals of modern systems
OLAP cubes and Business Intelligence systems, which can be the best and quickest way to extract information from data stores
Goals of machine learning and data mining
Clustering: K-means, mixture models, hierarchical
Dimensionality reduction and visualisation
Inference: Bayes, MCMC
Perceptrons, logistic regression, neural networks
Max-margin methods (SVMs)
Mining association rules
Bayesian networks

How you will be assessed

The course is assessed through a combination of examinations, coursework, presentations and interviews. Each module is different: for instance the Big data module has 40% coursework, consisting of Erlang programming and a presentation on nosql databases, along with an examination worth 60%.

Careers

Our experience suggests that graduates of this course will have most impact in the following areas:

Cloud and web based industries that handle large volumes of fast moving data that need to be stored, analysed and maintained. Examples include the publishing industry (paper, TV and internet), messaging services, data aggregators and advertising services

Internet of Things. A large amount of data is being generated by devices (robotic assembly lines, home power management, sensors etc.) all of which needs to be stored and analysed.

Health. The NHS (and others) are starting to store and analyse patient data on an unprecedented scale. The healthcare industry is also combining data sources from a large number of databases to improve patient well-being and health outcomes

Games industry. The games industry records an extraordinary amount of data about its customers' play activities, all of which needs to be stored and analysed. This course will equip students with the knowledge and skill to engage with the industry.

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There is an enormous and increasing amount of data that is collected. Examples include not just traditional data such as sales transactions, but location data (GPS), interactions between people on social network, measurements of sleep patterns, medication being taken, state of health, and much much more. Read more

There is an enormous and increasing amount of data that is collected. Examples include not just traditional data such as sales transactions, but location data (GPS), interactions between people on social network, measurements of sleep patterns, medication being taken, state of health, and much much more.

A key challenge is then to make use of this wealth of data. How can we manage this data, and analyse it to exploit useful information that can guide decision making?

This emerging area goes under the name “Data Science”. There is growing demand for people, “Data Scientists”, who have the skills to manage and analyse enormous amounts of data using a range of techniques such as data mining, statistical techniques, and machine learning.

Data Scientist has been called the “Sexiest job of the 21st century”, and the unique combination of technical skills (stats, data management) and business understanding has been said to make Data Scientists “highly sought after and highly paid”.

Master of Business Data Science (MBusDataSc)

The MBusDataSc primary focus is to equip you to become a practitioner, allowing you to meet the needs of industry, and solve the data problems of the world. However, there will also be an alternative path that will focus on preparing students for research in the area (e.g. going on to do a masters by research or PhD).

The proposed degree is inherently multidisciplinary, featuring Information Science and Marketing, which gives the degree a strong business focus; as well as contributions from Computer Science and from Statistics.

Once you have completed the MBusDataSc you will have developed an advanced knowledge of data science. You will understand how data analysis can be used in business, including being able to identify opportunities to use data, be aware of ethical and privacy issues and possible mitigations, and be able to select appropriate means of presenting the results of analysis. You will be able to select and apply techniques to manage and analyse large collections of data.

Degree Structure

The programme of study shall consist of seven 20 point taught papers together with a 40 point applied project or research project. Papers are either taught in semester one, semester two or are full-year papers. 

You must complete:

INFO 424 - Adaptive Business Intelligence  

COSC 430 - Advanced Database Topics

INFO 411 - Machine Learning and Data Mining

MART 448 - Advanced Business Analytics  

INFO 420 - Statistical Techniques for Data Science

INFO 408 - Management of large scale data

BSNS 401 - The Environment of Business & Economics

Plus one of the following project papers

BSNS 501 - Applied Project  

or

BSNS 580 - Research Project (for students who may wish to progress to PhD study)

Graduate Profile

The University of Otago coursework masters programmes provide you with an opportunity to specialise in advanced study with a focus on either applied practical or academic research.

Graduates of the MBusDataSc will gain skills in three areas: those relating to the business and organisational context, those relating to computing technologies for managing data, and those relating to data analysis techniques.

As a graduate of the MBusDataSc you should be able to:

  1. Understand where data analysis is used in business
  2. Identify opportunities to use data to improve decision making in a business context
  3. Be aware of ethical and privacy implications, concerns, and approaches to mitigating these, including the ability to identify potential areas of concern, and recommend appropriate mitigation actions
  4. Use appropriate means of communicating the results of analysis in graphical form
  5. Develop and maintain databases, including familiarity with performance management for large databases
  6. Have knowledge of a range of data storage and manipulation technologies (such as relational databases, NoSQL, XML), and the ability to select an appropriate technology for a given context and need
  7. Use high performance computing tools (including cloud computing) to manage and analyse data
  8. Be familiar with a range of data analysis approaches (e.g. statistical techniques, data mining, data warehousing), and be able to to select and apply these techniques to suit the context
  9. Develop an appreciation of the concept of ethics from multicultural perspectives, including Māori development aspirations and also an international business environment


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