Master of Science (Business Intelligence & Analytics)
#Malaysia’s Top University for Engineering, Science & Technology
Faculty
Duration
Program Total Credit
Study Scheme
Study Mode
Delivery Mode
Campus
Program Fees Malaysian
Programe Fees Malaysian
Programme Fees International
Codes
Program Code
NEC: 0613 (Computer Science)
MQA: MQA/SWA12202
- ABOUT THE PROGRAM
- PROGRAM STRUCTURE
- PROGRAM OBJECTIVES
- PROGRAM LEARNING OUTCOMES
- ENTRY REQUIREMENTS
- CAREER PROSPECT
- AWARD AND RECOGNITION
- PROGRAM DIRECTOR
The goal of this program is to produce ICT professionals who have advanced knowledge and skills in the field of Business Intelligence and data analytics. They will not only gain knowledge and skills in manipulating and analyzing data, in fact, they will also equipped with knowledge and skill as analysts in Business Intelligence, which seeks to design and implement an analytical transformation into a leading organization in accordance with the current needs of the country.
Core Courses (Compulsory)
1.Data Governance
2.Applied Statistics for Business Intelligence
3.Business Intelligence
4.Data Visualization and Interactive Design
5.Data Mining for Analytical Business Solutions
6.Cloud Computing for Big Data
Elective Courses (Choose three (3) only)
7.Strategic Business Management
8.Business Analytics
9.Advanced Enterprise Architecture for Business Intelligence
10.Digital Business and E-Commerce Management
11.Advanced Artificial Intelligence
12.Social Network Analytics
13.Agile Data Science
14.Human Centered Computing
15.Internet of Thing (IoT) Technologies
16.IoT for Blockchain System Design
17.Open Electives (Cross Program in Faculty)
18.Open Electives (Cross Program in UTM)
1.Mastery in advanced knowledge of Business Intelligence and Analytics to effectively support organizational
decision making.
2.Resilient and prominent leader in organization in solving complex organizational problems through research,
innovation and creativity.
3.Adaptable and responsible with high ethical conduct as a leader in organizations and communities
The normal requirement for admission to the programme is a four-year bachelor degree recognized by the university in either engineering or sciences.
Business Intelligence Analyst
Quantitative Researcher
Data Mining Engineer
Quantitative Analyst
Chief Data Officer
Financial Analyst
Big Data Analyst
Data Architect
Data Scientist
Data Analyst