Program Description

This course explores the application and development of techniques used by enterprises for the analysis of business information. Throughout the course we will expand your knowledge of contemporary software tools and help you to gain invaluable insights into real-world solutions through our research groups, guest lectures and seminars.On our Business Intelligence Systems and Data Mining MSc, your learning will be supported by experienced SAS-accredited staff, who will equip you with a comprehensive understanding of SAS business intelligence software.You will learn about the Business Intelligence system concept, its application in organisations, and its relationships with other computer-based information systems – such as decision and management support, data warehouses and artificial intelligence.We will teach you to review data mining methods and techniques available for effectively uncovering important information from large data sets. In doing so, you will develop an in-depth knowledge of data mining methods and gain practical experience of using the data mining software, SAS Enterprise Miner. You will graduate with an accredited, industry-recognised certification from SAS and be well placed to take up management and business information systems development roles in the industry.

Admission Requirements

• Indian Students:-A bachelor's degree with 50%-60%(in a relevant subject), depending on the university you have studied at and the course you are applying for.
• UAE Students:-For courses that require a 2.1 classification, we accept an equivalent of GPA 3.0/4.0 or 3.5 (out of 5.0) or 80% and for courses that require a 2.2 classification, we accept an equivalent of GPA 2.5/4.0 or 2.8 (out of 5.0) or 75%.

IELTS Requirements

Listening	Reading	Writing	Speaking	Overall
5.5	5.5	5.5	5.5	6

Remarks:

• Course Duration :-January 2022 Starts (18 months full-time duration ), September 2023 start  (12 months full-time duration)
• Placement Year Option available
• Indian Students for IELTS Waiver - At least 70% marks in English language course in Higher Secondary School.