Programme Specification for 2012/13

MSc Data Warehousing and Data Mining

This is an innovative programme of study in data warehousing and data mining, designed to enable competitive advantage through business intelligence, and drawing from the department's research excellence in the area. It is one of the first MSc programmes in the UK covering these leading edge technologies.

The programme provides students with deeper knowledge, advanced skills and understanding to allow them to contribute to the development and design of distributed / internet enabled decision support application software systems, using appropriate technologies, architectures and techniques (e.g. data warehousing, data mining, distributed data management and technologies and architectures and appropriate middleware and infrastructures supporting application layers).

Additionally, the programme enables students to understand and assess the security and legal implications of e-commerce applications and provides students with appropriate knowledge of business and commerce relevant to transacting business on the internet.

The courses take a software engineering approach to the construction of applications and focus on modern software engineering methods, tools and techniques that enable an integrated life-cycle software development view.

Typical content
The following is an indication of current programme content. However, the rapidly changing nature of the subject area means that both the courses offered, and individual course content, are likely to change in future years. Finally note that certain combinations of options may not be available.
For details of timetabling and study patterns, see the timetables page. Masters students take 120 credits of taught courses and undertake a 60-credit project. All courses are 15 credits unless otherwise stated.

Core courses:

• Project (60 credits) - a substantial individual project on a topic chosen by the student
• Distributed Data Management Technology
• Distributed Data Architecture & Management
• Data Mining & KDD
• Data Warehousing

Options (a total of 60 credits) chosen from:

• E-Business Applications
• Mobile Application Development
• Network Management
• Network Security
• Web Engineering
• Enterprise Web Engineering
• Software Engineering Management
• Enterprise Software Engineering Development
• Operating System & Application Server Security
• Database Tools
• High Performance Systems Engineering
• High Performance Distributed Memory Systems
• Computer Security & Risk Analysis
• Network & Internet Technologies & Design
• Software Tools & Techniques
• Visual Interactive Programming
• Enterprise Systems Integration

Technologies
Typical technologies taught on this programme include: Java; C#; .Net; Javascript; XML; WML; Oracle.
Note that some of these technologies are taught on optional courses, so we cannot guarantee that you will be exposed to them all.

Specifics

Entry requirements
A good first degree in Computing, Computing Science or a numerate subject (such as maths, physics, engineering, IS, multimedia) which includes some software development; or Substantial commercial/industrial experience including software development using modern programming languages and design and a working knowledge of databases.
See the School entry requirements for more details.

Professional recognition
This degree has full CITP (further learning) and partial CEng / CSci accreditation from BCS, the Chartered Institute for IT - the body responsible for establishing and maintaining technical and ethical standards in the computing profession. This means that on successful graduation from this degree, you will have fulfilled the academic requirement for registration as a Chartered IT Professional (CITP), including the CITP Further Learning Element, and partially fulfilled the education requirement for registration as a Chartered Engineer (CEng) or Chartered Scientist (CSci). However, please note that there are additional requirements, including work experience, to achieve full Chartered status - see the BCS website for further information.

Career opportunities
It is expected that graduates from this programme will be able to work as consultants or senior members in teams of professionals supporting the decision support systems to aid in the decision making process by middle and top management in many types of organisation. They will also be able to pursue a career in distributed system development as programmers or analysts, database designers and administrators.

Location
This master's programme is based in the Department of Computing & Information Systems, School of Computing & Mathematical Sciences, Greenwich Campus, Old Royal Naval College, Greenwich, London SE10 9LS.

Study mode
1 year full-time / 2 years part-time
September or January start

JACS code
MSc Data Warehousing and Data Mining - G560