Master of Science in Computing هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

This course is designed to produce graduates with the knowledge and skills to:

• Select, apply and evaluate business intelligence and data mining techniques which are focused on discovering knowledge that can be acted on to add value to a company.
• Bring both an in-depth theoretical understanding, and the practical hands-on experience, to a data exploration and mining project including implementing novel and emerging techniques.
• Keep abreast of current research and business intelligence related topics.

Employment Potential for MSc in Computing Graduates

Because we work very closely with local industry, we are aware of the strong need for graduates with specialist information technology skills able to cope with an ever expanding IT environment. The specific skills required now by the IT industry include computing, software development, scalable back-end operating systems and server management, distributed computing, web development and web services, enterprise computing with the management of the enterprise information resource, localisation and language skills in software, information security and digital forensics.

Course Structure

The course will be offered over four semesters (2 years).

All lectures and class discussions will take place in an online class room environment. Classes are also recorded and made available online. Modules are assessed through continuous assessment only, and do not have an end of term exam. Continuous assessment will include theoretical work in the form of literary reviews, and practical work using open source software tools.

Course Content

Year 1 Semester 1

• Business Intelligence
• Data Mining Algorithms

Year 1 Semester 2

• Data Pre-processing & Exploration
• Business Intelligence & Data Mining Applications

Year 2 Semester 3

• Text Mining & Web Content Mining (Elective)
• Geographical Information Systems Mining (Elective)
• Multimedia Mining (Elective)

Students complete two of the three elective modules. Modules will be offered based on student demand and lecturer availability.

Year 2 Semester 4

• MSc Research Project which can be industry based.