Program Overview

Master of Science (Business Intelligence and Analytics)

Program Overview

The goal of this program is to produce ICT professionals who have advanced knowledge and skills in the field of Business Intelligence, data science, and analytics. They will gain knowledge and skills in manipulating and analyzing data, as well as designing and implementing analytical transformations into leading organizations.

Program Objectives

1. Practice in-depth and specialist knowledge of Business Intelligence and Analytics to effectively support organizational decision-making.
2. Demonstrate business acumen and higher-order thinking skills necessary to solve complex organizational information and decision problems through research, innovation, and creativity.
3. Show adaptability in different roles, responsibilities, surroundings, and communities, enabling them to contribute and lead in their organizations and society.
4. Demonstrate effective communication skills to a wide variety of audiences and practice professional, ethical, and societal responsibilities.

Program Outcomes

1. Able to integrate business intelligence and analytics knowledge and technologies for effective and excellent practice as a business intelligent analyst, data scientist, or decision scientist.
2. Able to evaluate and analyze the technology of business intelligence and analytics to develop solutions for extracting, analyzing, and delivering information, knowledge, and insights necessary for well-informed, timely, and effective decision-making.
3. Able to apply critical and creative thinking and conduct systematic investigations into complex data management, data analytics, and decision problems to generate creative solutions and extend knowledge in business intelligence and analytics.
4. Able to promote and apply ethics, values, attitude, and professionalism for the benefit of consumers, profession, and society.
5. Able to effectively communicate, orally and in writing, business intelligence and analytics solutions to peers, superiors, clients, and experts.
6. Able to apply and engage in independent and lifelong learning to keep up with the latest relevant knowledge and cutting-edge technologies.
7. Able to work and function effectively in a diverse and multidisciplinary team and demonstrate respect for cultural diversity.
8. Able to lead projects, understand, and interchange roles between team leaders and team members.
9. Able to demonstrate entrepreneurial and management skills in daily life, identify global trends, and propose appropriate actions.

Program Structure

Courses

• Core Courses (Compulsory)
  • MRTB 1113: Data Governance
  • MRTB 1123: Applied Statistics for Business Intelligence
  • MRTB 1133: Business Intelligence
  • MRTB 1143: Data Visualization and Interactive Design
  • MRTB 1153: Data Mining for Analytical Business Solutions
  • MRTB 1163: Cloud Computing for Big Data
  • MRTB 0013: Research Methodology
• Elective Course (Choose three (3) only)
  • MRTB 2113: Strategic Business Management
  • MRTB 2123: Business Analytics
  • MRTB 2133: Advanced Enterprise Architecture for Business Intelligence
  • MRTB 2143: Digital Business and E-Commerce Management
  • MRTB 2153: Advanced Artificial Intelligence
  • MRTB 2163: Social Network Analytics
  • MRTB 2173: Agile Data Science
  • MRTB 2183: Human Centered Computing
  • MRTS 1073: Internet of Thing (IoT) Technologies
  • MRTS 1043: IoT for Blockchain System Design
  • MRTX xxx3: Open Electives (Cross Program in Faculty)
  • MXXX xxx3: Open Electives (Cross Program in UTM)
• Master Project
  • MRTB 2015: Master Project 1
  • MRTB 2027: Master Project 2
• University General Courses
  • Choose 1:
    • URSP 6013: Environmental Ethics
    • UANP 6013: Informatics in Society
    • UHMS 6013: Seminar on Global Development, Economic and Social Issues
    • UHMZ 6023: Malaysian Society and Culture (For International Student Only)
    • UBSS 6023: Business Ethics, Responsibility and Sustainability

Program Structure According to Semester

• Year 1
  • Semester 1
    • MRTB 1113: Data Governance
    • MRTB 1123: Applied Statistics for Business Intelligence
    • MRTB 1133: Business Intelligence
    • MRTB 1143: Data Visualization and Interactive Design
  • Semester 2
    • MRTB 0013: Research Methodology
    • MRTB 1153: Data Mining for Analytical Business Solution
    • MRTB 1163: Cloud Computing for Big Data
    • Elective Course 1
• Year 2
  • Semester 3
    • University General Course
    • Elective Course 2
    • MRTB 2015: Master Project 1
  • Semester 4
    • Elective Course 3
    • MRTB 2027: Master Project 2

Entry Requirement

Details not specified in the provided context.

Award Requirement

To be awarded with Master of Science (Business Intelligence and Analytics), students must:

• Pass all courses with a total accumulated credit of 45 and achieve a CGPA of 3.0 and above.
• Achieve all conditions given in the preparation of the Master's Project.

Admission

Details not specified in the provided context.

Program Fees

Details not specified in the provided context.