Master Of Science (Business Intelligence and Analytics)

Introduction

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 not only gain knowledge and skills in manipulating and analyzing data (especially Big 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.
This program is offered in Package 01 and Package 02 basis and based on a 3-Semester and 4-Semester Academic Years with several subjects being delivered and assessed in each semester. Assessment is based on presentation, case study, test, project and final exam conducted throughout the semester.

PROGRAM OBJECTIVES & OUTCOMES
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 which drive them to sustain intellectual curiosity and know how, and be lifelong learners
  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
The Programme Learning Outcomes (PO) is as follows

  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 analyse the technology of business intelligence and analytics, to develop solutions for extracting, analysing 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 investigation 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 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 project, understand and interchange roles between team leaders and team members.
  9.  Able to demonstrate entrepreneurial and management skill in daily life, identify global trends and propose appropriate actions.
PROGRAM STRUCTURE

Core Courses (Compulsory)
MANB 1113: Data Governance
MANB 1123: Business Statistics for Data Science
MANB 1133: Strategic Business Management
MANB 1143: Business Intelligence
MANB 1153: Data Mining for Business Analytics*
MANB 1163: Cloud Computing for Big Data Analytics

Elective Course (Choose four (4) only)
MANB 2113: Data Visualization and Interactive Design
MANB 2123: Advanced Enterprise Information System
MANB 2133: Advanced Enterprise Architecture for Business Intelligence
MANB 2143: Issues in Business Intelligence and Analytics
MANB 2153: Machine Learning for Business Problem*
MANB 2163: Social Network Analytics

Master Project
MANB 2015: Master Project 1
MANB 2027: Master Project 2

University General Courses
Compulsory
UANP 0013: Research Methodology
UANP 6013: Informatics in Society

*This class is supported by DataCamp, the most intuitive learning platform for data science. Learn R and Python the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises.

 

Course structure for package 01 students

SEMESTER 1 SEMESTER 2
Code Course Name Credit Code Course Name Credit
MANB 1113 Data Governance 03 MANB 1153 Data Mining for Business Analyst 03
MANB 1123 Business Statistics for Data Science 03 MANB 1163 Cloud Computing  for Big Data Analytics 03
MANB 1133 Strategic Business Management 03 MANB xxxx Elective 01 03
MANB 1143 Business Intelligence 03 MANB 2015 Master Project 1 05
UANP 0013 Research Methodology 03      
UANP 6013 Informatics in Society 03      
  Total 18   Total 14

 

YEAR 2

SEMESTER 1
Code Course Name

Credit

MANB xxxx

Elective 02

03

MANB xxxx

Elective 03

03

MANB 2027

Master Project 2

07

  Total

13

 

Course structure for package 02 students

YEAR 1
SEMESTER 1 SEMESTER 2
Code Course Name Credit Code Course Name Credit
MANB 1113 Data Governance 03 MANB 1153 Data Mining for Business Analyst 03
MANB 1123 Business Statistics for Data Science 03 MANB 1163 Cloud Computing  for Big Data Analytics 03
MANB 1133 Strategic Business Management 03 UANP 0013 Research Methodology 03
MANB 1143 Business Intelligence 03 MANB xxxx Elective 01 03
  Total 12   Total 12

 

YEAR 2
SEMESTER 1 SEMESTER 2
Code Course Name Credit Code Course Name Credit
UANP 6013 Informatics in Society 03 MANB xxxx Elective 03 03
MANB xxxx Elective 02 03 MANB 2027 Master Project 2 07
MANB 2015 Master Project 1 05      
  Total 11   Total 10
AWARD REQUIREMENT
Student will be awarded with Master of Science (Business Intelligence and Analytics) or after graduating and meet the conditions set by UTM as below:
• Pass all courses with a total accumulated credit of 45 and pass CGPA of 3.0 and above.
• Achieved all conditions given in the preparation of Masters Project
• An applicant has applied for the award of Master of Science