Master Of Science (Business Intelligence and Analytics)
MODE: OPEN DISTANCE LEARNING

 

Introduction

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 through the mode of Open Distance Learning where the teaching and learning is conducted 100% online. Student shall complete the program in minimum of 4 semester and maximum of 8 semester. Several subjects being delivered and assessed is implemented in each semester. Assessment is based on presentation, case study, test and project conducted throughout the semester and it is executed through the LMS platform of UTM.

For more information, please download our brochure, or join our telegram group at https://t.me/+fYFYjfRgs0tiMjll or scan using the QR code below

 

 

 

Please visit odl.utm.my for admission to this program

 

For more details

Download our programme brochure

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 LEARNING OUTCOMES

1.  Synthesize advanced information, concept, theory and specialized method to manage and resolve  problems in business intelligence and analytics.

PLO2: Construct solutions to complex problems related to business intelligence and analytics.

PLO3:  Apply practical and technical skills in business intelligence and analytics to develop effective solutions.

PLO4: Collaborate with different people in learning and working communities and with other groups ethically and professionally.

PLO5:  Communicate clearly the knowledge, skills and ideas using appropriate methods to peers and clients either experts or non-experts.

 PLO6: Use a wide range of suitable digital technologies and appropriate software competently for business intelligence and analytics problem solution.

PLO7: Apply mathematical or statistical and other quantitative elements in business information management for analysis, reporting and information delivery.

PLO8:   Demonstrate autonomy, leadership and responsibility in managing work within own team or with other teams in various situations.

PLO9: Demonstrate self-advancement through continuous academic or professional development.

PLO10:  Lead or initiate entrepreneurial ventures or projects in business intelligence and analytics.

PLO11:   Demonstrate adherence to ethical and professional codes of practice in executing work.

 

 

 
PROGRAM STRUCTURE

Core Courses (Compulsory)
MRTB 1113 : Data Governance (3 Credits)
MRTB 1123 : Applied Statistics for Business Intelligence (3 Credits)
MRTB 1133 : Business Intelligence (3 Credits)
MRTB 1143 : Data Visualization and Interactive Design (3 Credits)
MRTB 1153 : Data Mining for Analytical Business Solution (3 Credits)
MRTB 1163 : Cloud Computing for Big Data (3 Credits)
MRTB 0013 : Research Methodology (3 Credits)

 

ELECTIVE COURSES. CHOOSE 3. SUBJECT TO FACULTY OFFERS EVERY SEMESTER (9 CREDITS)

MRTB 2113 : Strategic Business Management (3 Credits)
MRTB 2123 : Business Analytics (3 Credits)
MRTB 2153 : Advanced Artificial Intelligence (3 Credits)
MRTB 2163 : Social Network Analytics (3 Credits)

 

UNIVERSITY COURSE (3 CREDITS)

URTP 6013 : Informatics in Society (3 Credits)

MASTER PROJECT (12 CREDITS)

MRTB 2015 : Master Project I (5 Credits)
MRTB 2027 : Master Project II (7 Credits)

 

Course Structure

 

SEMESTER 1

SEMESTER 2

JUMLAH KREDIT TAHUN 1

KOD

NAMA KURSUS

KREDIT

KOD

NAMA KURSUS

KREDIT

MRTB 1113

 

Data Governance

 

3

URTP0013

Research Methodology

3

 

 

 

 

24

MRTB 1123

Applied Statistics for Business Intelligence

3

MRTB 1153

Data Mining for Business Solution

 

3

MRTB 1133

Business Intelligence

 

3

MRTB

xxx3

Elective Course 1

 

3

MRTB 1143

Data Visualization

and Interactive Design

3

MRTB xxx3

Elective Course 2

3

 

JUMLAH KREDIT SEMESTER I

12

 

JUMLAH KREDIT SEMESTER II

12

SEMESTER 3

SEMESTER 4

JUMLAH KREDIT TAHUN 2

KOD

NAMA KURSUS

KREDIT

 

 

 

URTP

6033

Informatics in

Society

3

MRTB

1163

Cloud Computing  for Big Data

3

 

 

 

21

MRTB

xxx3

Elective Course 3

3

MRTB

2027

Master Project 2

7

MRTB

2015

Master Project 1

5

 

 

 

 

JUMLAH KREDIT SEMESTER I

 

11

 

JUMLAH KREDIT SEMESTER II

 

10

JUMLAH KREDIT KESELURUHAN

45
ENTRY REQUIREMENT

 

Local Students  International Students

 

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

ADMISSION

https://admission.utm.my/

 

Programmes Fees

Local Students  International Students
RM 19,600.00 RM 34,650.00