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Business Intelligence Systems and Data Mining MSc


Course Description

About the course

This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality.

This course emphasises the concepts and techniques of business intelligence systems and their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills allowing you to work toward your SAS accreditation

• SAS endorsed course
enhance your employability and gain substantial knowledge and skills in SAS business intelligence software leading towards SAS data miner accreditation

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing business intelligence systems and data mining solutions to business problems

• Gain an insight into real world solutions
attend guest lectures and seminars, which will give you a real understanding of the impact of their work

• Excellent graduate prospects
graduates have gone into roles such as BI/SQL developers, logistics data modeller’s and insight analysts at organisations including Cognisco, LLamasoft and Occam DM

Course Structure

Modules

First semester (September to January)

• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP
• Research Methods

Second semester (February to May)

• Data Mining
• Business Intelligence Systems Application and Development

Plus two from the following list:
• Management of Information Systems
• Human Factors in Systems Design
• Applied Computational Intelligence
• Artificial Neural Networks

Third semester (June to September)

•The individual project module.

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

Compulsory taught modules give you the opportunity to gain the fundamental knowledge and practices required to apply, develop and research business intelligence systems, while optional modules provide you with chances to study particular aspects of system application and development in more depth.

The individual project module allows you to undertake research into an aspect of business intelligence systems that interests you, and/or to perform appropriate business intelligence development tasks in response to a given practical problem.

Contact and learning hours

Full-time students will normally attend around 16 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.

Industry Association

This course was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

Visit the Business Intelligence Systems and Data Mining MSc page on the De Montfort University website for more details!

(Student Profile)

Luke Attwood

1725.jpg - Why did you choose MSc Software Engineering at DMU?

I had previously completed the BSc (Hons) Computer Science course at DMU, and had thoroughly enjoyed not just the content, but also the friendly and supportive environment created by my lecturers and the university as a whole. I felt that the MSc Software Engineering course would provide me with the wider ranging skills I required and enhance my CV to potential employers.

- What knowledge and experience did you gain on the course?

I have gained an understanding of the whole system life cycle with regards to analysing requirements and specifying systems, using this to create competent designs and then upon implementing a product, being able to safely test and maintain it. I feel that I am now capable of managing projects from start to finish and that I am able to give a company or organisation a fresh and innovative direction using the techniques and ideologies that I have learnt.

- Do you have any memorable experiences from your time on the course?

Certainly some of the most memorable experiences must come from being introduced to various professors and lecturers that are world- leading experts in their field. Other memorable experiences come from some of the topics and techniques that we were taught, most notably dependable and critical systems, where one error or failure could lead to loss of life. Seeing how to properly and safely specify and test such systems and knowing you could go out into industry and make a difference is a very satisfying feeling.

- What did you enjoy most about the course?

The content being taught is often completely cutting-edge and new and has been worked on by some of the world's leading researchers in that subject. I thoroughly enjoyed the innovative and cutting-edge technologies and techniques that we were taught.

- Do you have any advice to students who are thinking of studying this course?

I would fully recommend DMU to anyone interested in learning about industry leading technologies and being involved in a very friendly and supportive environment. My own experience has been incredibly enjoyable and fulfilling and I know that anyone taking on a Technology course will be rewarded by a fantastic high level of teaching, balancing theory and practical elements across a vast array of very interesting subjects. Anyone successfully completing the course can apply for CEng (Chartered Engineer) professional status and will thus be an asset to industry.


Scholarships

Entry Requirements

You should have the equivalent of a British Honours degree (2:2 minimum) in a relevant subject. If you have no formal academic qualifications but do have extensive industry experience we will consider your application individually.

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