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

 

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
ADMISSION
FEES
Master of Science (Business Intelligence and Analytics)
MANBA1CKA
Package 1 Package 2
Types of Fees Local International Local International
Processing Fee(Non-refundable) RM 60 USD 50 RM 60 USD 50
Caution Fee(Refundable) RM 200 RM 200 RM 200 RM 200
Programme Fee* Subject to change RM 13,120 RM 25,654 RM 15,120 RM 30,654

Note:
• Tuition fees do not include accommodation charges, personal bond, medical checkup, and the VDR/Visa application fee.
• Fees stated above are subject to change (the University reserves the right to change the tuition fee without prior notice).
• Students must pay total fee before Graduation.
• Master Package 1 (Weekday Class): 3-8 Semesters
• Master Package 2 (Weekend Class): 4-8 Semesters

Scholarship and Financial Aids
Student can obtain financial assistance from:
1. My Brain 15: (https://biasiswa.moe.gov.my/MyBrain15)
2. PTPTN: (http://www.ptptn.gov.my/web/guest/pinjaman) and
3. MARA (web address: http://www.mara.gov.my/web/guest/biasiswa-/- pinjaman-pelajaran).
4. Student can also withdraw EPF savings. UTM will issue a support letter once the offer letter to the student has been issued

ENTRY REQUIREMENT
General University Requirements:
Minimum Bachelor’s Degree (Honours) with CPA 2.50/4.00 in the relevant field, or equivalent from a recognized university based on UTM’s “Syarat Kemasukan Penilaian 1998 Pindaan 1/2013 (Kerja Kursus/ Mod Campuran/ Penyelidikan)”.
Faculty’s Requirement:
• First degree in any field of Engineering, Information Technology (IT), Computer Science, Sciences or Management with CGPA of 2.50 and above recognized by the UTM Senate.
OR
• Candidates with lower qualification and adequate academic background and appropriate work experiences can be considered
English Language Requirement (for international student):
All international students applying to UTM must have a valid two-year old TOEFL or IELTS certificate. Students with a TOEFL score of 550 (or 79 IBT) or an IELTS Band 6 will be enrolled in a faculty programme without undergoing UTM English Courses.
Starting from Semester II/2010/2011, students who applied for Master or PhD programme – Teaching English as a Second Language, must have a valid two-year certificate of TOEFL with a score of 600 and above or IELTS Band 7 and above (or IBT/CBT equivalent)

How to Apply
Please visit http://admission.utm.my/apply-now/

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