Master of Science Business Intelligence

Master of Science Business Intelligence is a Masters program taught at Universiti Teknologi Malaysia, Malaysia. The program is offered in campus-based modes with full-time options.

The Master of Science (Business Intelligence and Analytics) at Universiti Teknologi Malaysia aims to produce ICT professionals with advanced knowledge and skills in business intelligence and data analytics. Students gain knowledge and skills in manipulating and analyzing data, and they are trained as analysts in business intelligence. The programme also focuses on supporting organizational decision making and on designing and implementing an analytical transformation in line with current needs of the country.

Graduates apply practical and technical skills to construct solutions to complex business intelligence and analytics problems. The learning outcomes cover work such as using digital technologies and software for solutions, applying mathematical or statistical and other quantitative elements for analysis and reporting, and collaborating and communicating with peers and clients. The programme requires tailored study plans with a credit hour total of 45.

The minimum requirements for admission in Master of Science Business Intelligence at Universiti Teknologi Malaysia for all applicants (Domestic or International) are:

• program specific academic requirment set by Universiti Teknologi Malaysia.
• English Language OR any other language requirments as set by Universiti Teknologi Malaysia as pre-requiste for admission in Master of Science Business Intelligence.

Note: Please check the university website in the link below.

The normal requirement for admission to the programme is a four-year bachelor degree recognized by the university in either engineering or sciences.

Please check detail of study units at https://fai.utm.my/master-of-science-business-intelligence-and-analytics

• Business Intelligence Analyst
• Quantitative Researcher
• Data Mining Engineer
• Quantitative Analyst
• Chief Data Officer
• Financial Analyst
• Big Data Analyst
• Data Architect
• Data Scientist
• Data Analyst