Find a Degree Postgraduate Taught Programmes Information Systems & Data Management

Programme Details

Preparing you for a career in advanced information system design, technology management and commercial and academic research.

This programme provides in-depth knowledge and skills of leading edge techniques, such as user modelling, information filtering, personalisation, adaptive hypermedia, data mining and visualisation, and natural language generation.

Emphasis is placed on developing intelligent information systems to complex problems using advanced computational techniques.

Individual units are available for continuous professional development Individual Subject Study (ISS) by arrangement.

Individual Subject Study

Individual units are available for continuous professional development Individual Subject Study (ISS) by arrangement.

I consciously made the choice of coming to the university of Aberdeen, as I wanted to evolve into a world class scientist, at a university that is highly reputed  in my field. I really loved the course content of the Information Systems and Data Management, and the paradigm of lecturing and handling issues in the department. The world class facilities at my disposal, and the cordial interaction with my lecturers made sense in my academic upliftment, now I can confidently undertake my PhD  with little guidance. 

Madumere Smart Onyemaechi (2013/14)

Aims

The MSc in Information Systems & Data Management prepares students for careers in advanced information system design, technology management and commercial and academic research. It provides in-depth knowledge and skills of leading edge techniques, such as user modelling, information filtering, personalisation, adaptive hypermedia, data mining and visualisation, and natural language generation. 

The programme gives students the flexibility to decide the topics of most interest to them, and to specialise in their chosen area through electives and a long project. The programme also teaches practical business skills, for example, through a group project where they either develop their own business idea and its prototype, or work with the Aberdeen Software Factory and a collaborating organization to develop a solution for the organisation's problem. In either case, the prototype solutions and ideas are  showcased to local university and business representatives at a "Dragons' Den" type fair.

This programme is designed to meet the national need for skilled, business aware technologists. The IT industry has identified a critical shortage of advanced computer specialists who are not only familiar with existing technologies, but who can also develop leading edge applications.

Contact Information

For further information about the programme or to discuss your application, please contact the Graduate School Admissions Unit.

Syllabus

First Semester

Data Mining & Visualisation

Provides an overview of data mining technologies and looks at their applications in commercial contexts; for example the management of business relationships within an E-Business context. The course covers data trend and pattern detectors, abstraction formation, data integration, and qualitative modelling and reasoning. Data visualisation, user variability and preferences, and interface design are also studied. 

 Information Extraction and Text Analytics

An abundance of textual information is available on the Internet. As it is dispersed over web pages, it is difficult to extract the information and understand its overall meaning. In this course, students will learn information extraction and text mining theory and techniques, corpus construction, and programming tools (e.g. NLTK and GATE) in order to extract and structure information from text. The emphasis is hands-on and realistic. Using the techniques and tools, students will be able to start to unlock the economic, cultural, and social value of web-based textual information, gaining valuable skills in an expanding market.

 Semantic Web Engineering and Linked Data

The World Wide Web (WWW) has become a major part of many people's lives. The Semantic Web is an evolving development of the World Wide Web in which the meaning (semantics) of information and services on the web is defined, making it possible for the web to understand and satisfy the requests of people and machines to use the web content. The goal of the course is to introduce advanced techniques for Web 1.0 (XML and XML Schema), Web 2.0 (AJAX and mashups) and Web 3.0 (RDF, OWL, microformats and microdata). It also covers some data exploitation techniques.

 Natural Language Generation

The aim of the course is to introduce students who have some background in computing to (1) the varied aims for which Natural Language Generation (NLG) is pursued, (2) the main rule based and statistical methods that are used in NLG, and (3) some of the main NLG algorithms and systems. The course will cover NLG both as a theoretical enterprise (e.g., for constructing models of language production) and as practical language engineering, paying particular attention to the link between NLG and data science. Some programming experience is expected.

Second Semester
Innovation Strategies 

This module gives students a unique opportunity to develop entrepreneurial skills, which are required to help in the development of a business-oriented mindset. Even students who have no ambitions to set up a new business, there is a great deal that they can learn about entrepreneurial tools and techniques which would benefit their future career in different employment capacities.

Advanced Computer Science Workshop

The module delivers practical experience in the technical issues involved in creating an effective showcasing proof of concept for a real product in the wider software sector. It is a follow-up of the CS5594 module, where students have devised a business plan for a company centred around such product. Students work in teams alreadyset up during CS5594, implementing the requirements specifications for the product devised in that module. On the final day of the module, an Industrial Assessment Group listens to the technical presentation of the showcasing proof of concept developed as part of this module and provides feedback.

Technological, Scientific and Market Research 

This course serves as a lead in to the individual summer project. In it you will analyse the domain of your chosen research topic and provide a report on the background or literature.

Summer Project (Dissertation)

Candidates who complete the above programme at an appropriate standard will be allowed to progress to the MSc Project in Information Systems & Data Management. Candidates who fail to achieve the standard for progression to, or who elect not to proceed to, the project stage shall be awarded a Postgraduate Diploma if they have achieved the appropriate standard for that award.

The Summer project is taken under the supervision of an assigned academic supervisor in the department. The project will require creative, analytical and practical skills. The project typically involves the development of a substantial piece of software, and its evaluation.

Assessment

Assessment is by course work, by written examination or by a combination of these as prescribed for each course. The summer project will be assessed by project implementation and by a dissertation. The degree of MSc shall not be awarded to a candidate who fails to complete the summer project at an appropriate standard, irrespective of their performance in other courses.

Careers

There are a number of careers to which one could progress with this degree. Previous students who were on similar degrees have found jobs using the skills taught here with financial service organisations in banking and insurance, Amazon Research and Development, and software houses of all shapes and sizes, as well as moving onto study PhDs here and elsewhere in the UK. This programme provides you with the technical and analytical skills needed to successfully adapt to wide-range of situations in the ever-changing world of computing.

Academic Requirements

Our minimum entry requirement for this programme is a 2:2 (lower second class) UK Honours level (or an Honours degree from a non-UK institution which is judged by the University to be of equivalent worth) in the area of Computing Science.

Key subjects you must have covered
: Java, C, C++, Algorithms problem-solving and Data Structures.

It is important to note that the programmes of postgraduate study at the University of Aberdeen are very competitive and the entry requirements stated are a guide to the minimum requirements, but do not guarantee entry. 

Document requirements

For this application we need at least:

  • detailed personal statement explaining:
    • your motivation for this particular programme
    • your programming experience including languages known
    • the kinds of projects you may have used your programming skills for
  • a full transcript showing all the subjects you studied and the marks you have achieved in your degree(s) so far (original & official English translation)
  • current CV/resume

It is important when submitting an application that you ensure you have completed all the necessary sections and enclosed all the relevant documentation to ensure that your application can be processed as quickly as possible. 

English

Even if you have been educated in the medium of English you must meet our English Language requirements. These are located at www.abdn.ac.uk/study/international/english-requirements.php. This programme requires that you meet the 'Postgraduate Standard' level of English proficiency. If you are in doubt about your proficiency in English, contact the British Council office or its equivalent in your country. If your first language is not English, it is important that your proficiency in English is good in order for you to study successfully at the University of Aberdeen . Without this ability you will find great difficulty in understanding lectures, producing written work and sitting examinations. 

Intakes

We have one intake of students each September.

Late applications may be asked to wait until the next intake should the programme coordinator feel there is insufficient time to consider the application.

Prospective students who require a visa to study in the UK are advised to apply as early in the year as possible to secure a place.

Applications received after 30th June from students who need to apply for a visa to study in the UK will not be processed for entry but will be considered for entry into the following intake as appropriate.

Fees

2016/17 Fees

  • UK/EU Students - £4,500
  • International - £13,800

Information on tuition fees, can be found on the University Registry website.

 

 

Funding

University of Aberdeen Alumni Discount Scheme

The University of Aberdeen is very pleased to offer a 20% discount on postgraduate tuition fees for all alumni who have graduated (or about to graduate) with a degree from the University of Aberdeen. More Information

Funding opportunities can be found in our searchable Funding Database. You are advised to search the database as a broad range of funding exists much of which you may be eligible for.

A list of funding opportunities is also maintained on the College of Physical Sciences Funding Page.

Contact

Related Information

General Information

Student Recruitment & Admissions Service
University of Aberdeen
The Hub
King's College
ABERDEEN AB24 3TU

Tel: +44 (0)1224 272090 / +44 (0)1224 272091
Fax: +44 (0)1224 272576
Email: sras@abdn.ac.uk