UTM PG ODL PROGRAM (Master of Science Business Intelligence and Analytics)

Summary

This video script covers a virtual program preview for the Master of Science in Business Intelligence and Analytics at UTM. The speaker thanks participants and provides an overview of the program's structure, admissions, fees, and differences between the conventional and open distance learning (ODL) modes. The program aims to equip ICT professionals with advanced knowledge in business intelligence and data analytics. The session includes details about the curriculum, credit hours, and entry requirements, while highlighting the flexibility of ODL for remote learning. A Q&A session follows, addressing enrollment and course-related inquiries.

Takeaways

• 😊 The event is a virtual program preview for the Master of Science in Business Intelligence and Analytics (ODL) program.
• 🎓 This program is offered by UTM and is fully online, providing flexibility for students to study remotely.
• 👏 Acknowledgement was given to Associate Professor Dr. Samir Abati Kamarudi, Deputy Dean of Academic and Student Affairs, and Dr. Nasha Lisaka Merlin for their contributions in getting the program approved.
• 📋 The program provides in-depth information on structures, admission requirements, and fees.
• 💻 The ODL (Open Distance Learning) format differs from conventional programs but maintains the same curriculum structure with 45 credit hours.
• 🕒 The program is expected to begin in October 2023, with a minimum of four semesters and a maximum of eight semesters.
• 📊 The program focuses on developing ICT professionals with advanced knowledge in business intelligence and data analytics.
• 👩‍💼 Students from non-IT backgrounds are accepted, provided they have at least five years of working experience.
• 💡 The curriculum includes core subjects like data governance, statistics, business intelligence, data mining, and electives such as advanced artificial intelligence.
• 📱 Students will access the program through the UTM online platform, with all learning materials and assessments provided upfront.

Q & A

What is the purpose of the virtual program preview for the Master of Science in Business Intelligence and Analytics?

The virtual program preview aims to provide potential students with in-depth information regarding the program's structure, admission requirements, program fees, and the advantages of pursuing the Master of Science in Business Intelligence and Analytics through Open Distance Learning (ODL).

How is the ODL program different from the conventional Master of Science in Business Intelligence and Analytics?

The ODL program is fully online, offering flexibility to students who can study from any location. The structure, curriculum, and credit hours (45 credits) are the same as the conventional program, but the delivery method and scheduling differ to accommodate online learning.

What are the advantages of the ODL mode for students?

The ODL mode allows students to pursue their studies remotely without attending campus, offering a flexible learning environment. All course materials are provided in advance through the online platform, enabling students to learn at their own pace and balance other commitments.

When will the Master of Science in Business Intelligence and Analytics ODL program be offered?

The program is expected to be offered starting from Semester 1 in October 2023, pending approval from the Ministry of Education. Registration for the program will begin after the approval.

What is the overall goal of the Master of Science in Business Intelligence and Analytics program?

The program aims to produce ICT professionals with advanced knowledge and skills in business intelligence and data analytics. The program accepts students from both computing and non-computing backgrounds, provided they have at least five years of work experience.

What are the core and elective courses included in the program?

The program includes core courses like Data Governance, Applied Statistics, Business Intelligence, Data Visualization, Data Mining, Cloud Computing, and a capstone project. Elective courses cover topics such as Advanced Artificial Intelligence and Business Analytics, and students must choose three elective courses.

What are the entry requirements for the ODL program?

The entry requirements are similar to the conventional program. Applicants without a computing background must have at least five years of relevant work experience. English proficiency requirements also apply, with tests like IELTS or TOEFL accepted.

How is the teaching and learning process structured in the ODL program?

The ODL program follows a modular approach, with each course lasting six weeks. Teaching is conducted online through the ODL platform, where all course materials, including notes and assessments, are uploaded in advance for students to access.

What are the program fees for the ODL and conventional modes?

For the ODL program, the total fee for local students is RM 19,600. Fees for international students are higher due to additional costs like platform usage. The fee structure is designed to accommodate the online learning environment.

How does the program prepare students for careers in business intelligence and analytics?

The program equips students with a blend of technical and business skills. Courses like Business Intelligence, Data Mining, and Data Visualization provide the necessary technical knowledge, while business-related courses ensure that students can apply analytics in business contexts.

Outlines

00:00

🎓 Introduction to the Virtual Program Preview

The speaker thanks the 48 teams present for the virtual program preview (PPP) of the Master of Science in Business Intelligence and Analytics for the open distance learning (ODL) program. A special mention is made to Associate Professor Dr. Samir and Dr. Nasha for their efforts in preparing the program structure and approval process. The ODL program is highlighted as a flexible, fully online alternative to traditional programs, offering students the opportunity to pursue their studies remotely.

05:00

💻 Overview of the Program and Admissions

The program is introduced as a Master of Science in Business Intelligence and Analytics from the Faculty of Technology and Informatics, scheduled to start in October 2023. The speaker provides an overview of the program structure, which mirrors the conventional program in terms of credit hours (45) and curriculum, but with the added flexibility of online learning. Admission requirements are discussed, emphasizing that the program is open to individuals with five years of relevant work experience, even those without an IT background.

10:03

📚 Program Structure and Learning Mode

A detailed explanation of the ODL mode is given, contrasting it with the conventional program. The ODL program includes all learning materials and assessments available upfront, allowing students to engage with content early. The course delivery includes videos and animations, enhancing the learning experience. The speaker highlights that entry requirements are similar to the conventional program, with special provisions for those without a computing background, as long as they have significant work experience.

15:12

📊 Course Content and Core Subjects

The core subjects of the program are outlined, including data governance, applied statistics, business intelligence, data visualization, data mining, and cloud computing. Each course is designed to give students a strong foundation in business analytics and intelligence. The speaker also introduces project-based courses (Project 1 and Project 2) as capstone projects that will enable students to apply their learning in practical scenarios. Elective courses are briefly mentioned, with an emphasis on the importance of these subjects in the field.

20:14

🌐 Open Distance Learning and Program Promotion

The speaker expands on the ODL system, emphasizing the flexibility and accessibility of the program for students who cannot physically attend UTM. A step-by-step process for registration is outlined, explaining how students can apply and register for the program once it is officially approved. The speaker encourages participants to share information about the program with their colleagues, stressing the program's popularity and the importance of early promotion.

Keywords

💡Business Intelligence

Business Intelligence (BI) refers to the technology-driven process of analyzing data to help companies make informed business decisions. In the video, the Master of Science program in Business Intelligence focuses on teaching students how to gather, process, and analyze business data to drive business outcomes, combining business and IT-related subjects.

💡Analytics

Analytics involves the systematic computational analysis of data or statistics. It is a key component of the Master of Science program mentioned in the script, aiming to equip students with skills to analyze business data for decision-making. The program covers courses like data visualization, data mining, and statistical analysis, all of which help students learn advanced analytical techniques.

💡Open Distance Learning (ODL)

Open Distance Learning refers to the educational model where teachers and students are physically separated, and the learning process happens online. The video emphasizes that the ODL program offers flexibility, allowing students to pursue their studies remotely. This mode is especially beneficial for those who cannot physically attend the campus, making education more accessible.

💡Curriculum Structure

The curriculum structure outlines the academic framework of the Master of Science program, including the credit hours, core courses, and elective subjects. In the video, it's explained that the program consists of 45 credits with courses such as data governance, business intelligence, and cloud computing. The structure is similar for both conventional and ODL modes, ensuring consistency in the learning outcomes.

💡Capstone Project

A capstone project is a culminating assignment that allows students to apply their learned knowledge to a real-world problem. In the program, the capstone is divided into Project 1 and Project 2, typically taken in the final semesters. This project helps students demonstrate their competencies in Business Intelligence and Analytics through practical application.

💡Admission Requirements

The admission requirements specify the criteria for potential students to join the program. In the video, it is mentioned that students without a background in computing can apply, provided they have at least five years of relevant work experience. There are also specific English language requirements for international students.

💡Data Mining

Data mining refers to the process of discovering patterns in large data sets using methods like machine learning and statistics. It is one of the core courses in the program, where students will learn techniques to extract useful information from vast amounts of data. This is particularly relevant to the field of business intelligence, where data-driven decisions are critical.

💡Artificial Intelligence

Artificial Intelligence (AI) involves creating systems that can perform tasks that normally require human intelligence, such as decision-making and problem-solving. In the context of the program, AI is taught as an advanced subject, giving students the tools to apply AI in business analytics, helping organizations automate processes and improve efficiency.

💡Flexible Learning

Flexible learning refers to the ability of students to control when, where, and how they learn. The ODL program is highlighted in the video as offering this flexibility, allowing students to balance their studies with other commitments. The online platform is designed to provide students access to course materials and assessments at their convenience.

💡Project-Based Learning

Project-based learning is an instructional methodology that allows students to learn by actively engaging in real-world and meaningful projects. In the Master of Science program, students will participate in practical projects like the capstone, where they apply theoretical knowledge in a business context. This approach helps students develop hands-on skills crucial for their careers.

Highlights

Introduction of the Master of Science in Business Intelligence and Analytics (ODL program).

Thank you to Associate Professor Dr. Samir Abati Kamarudi and Dr. Nasha Lisaka Merlin for coordinating the approval process.

ODL program is fully online and provides flexibility for students to study without visiting UTM in person.

Program structure and fees are explained, and students are encouraged to ask questions about the ODL program.

The ODL program offers similar curriculum structure and credit hours as the conventional program, but in a fully online format.

The program aims to produce ICT professionals with advanced knowledge in business intelligence and analytics.

Non-IT students with at least 5 years of relevant work experience are also eligible to apply.

Program overview includes 45 credit hours, compulsory subjects (36 credits), and elective courses (9 credits).

Key courses include Applied Statistics, Business Intelligence, Data Visualization, Data Mining, and Advanced Artificial Intelligence.

Flexible learning platform allows students to access six weeks of course materials and assessments online.

ODL system features interactive learning materials like videos and animations to enhance student engagement.

Admission requirements include a background in computing or relevant work experience, with similar criteria as the conventional program.

Program fees for Malaysian students are RM 19,600, and higher for international students.

Capstone project split into Project 1 and Project 2, which must be completed in the final semesters.

The program is expected to start in October 2023, pending final approval from the Ministry of Education.

Transcripts

and good morning uh firstly I would like

to thank uh to uh 48 teams for

uh being here okay for the virtual

program preview PPP uh for master of

science business intelligence and

analytics for odl program so uh thank

you also to associate professor Dr Samir

abati kamarudi uh Deputy Dean academic

and student affairs our coordinator Dr

Nasha lisaka Merlin who I think

um she was a hard-working and diligent

uh

previously when preparing the copper and

everything until it is already approved

until the cavity

um level so I think uh this is the

platform for all the potential students

uh to get in-depth informations

regarding the program structures uh the

emissions the requirement requirements

and also the program uh and also the

program fees I think you may ask the

coordinator

um if you have any uh questions

regarding the audio program so bear in

mind that uh audio program is a

different compared to the conventional

programs as it is fully online for UTM

audio program and I think this is an

advantage for the students because

um you still

um

you can learn all the I mean you can

first pursue your study without

um

going to UTM okay and it is very

flexible so

um I think I will pass the session to uh

coordinate the financial leader to give

the briefing okay thanks that's okay for

me thank you Dr nor Eleni uh

very good morning

uh all right uh thank you so much SPS

has giving us a day to actually do a

program preview for master of science

business intelligence title analytics uh

more uh open distance learning

right actually I've already forwarded

the link to most of the potential

student but maybe because of the Chinese

New Year break again so some of them

so I recently I think there's a few

coming in

all right uh so the program is actually

master of science business intelligence

and analytics

um I I am from faculty technology and

informatics

okay so this is me I am a nursery

is actually the coordinator for this

program

I think my colleague is now that the

show has Miller already discussed on a

Raza faculty of food there so this is

our mission and vision so

multi-disciplinary

I and I am actually from uh uh Japan

informatics okay I want to informatics

and the courses that that is going to be

offered is actually number 13 uh science

analytics and then

so in bus that in English it's actually

a master of science business

intelligence and analytic and this is

currently the conventional mode so we

are actually going to offer this program

the conventional program through the odl

mode

inshallah in semester one which is in

October 2023

all right so just let me give an

overview on the master of intelligence a

master of science business integer

analytic conventional way so this is the

conventional program right uh the uh all

uh for odl the the structure the

curriculum are all the same for for odl

similar to Conventional it means that

the the credit hours is 45 the structure

of the program is

the differences and currently yeah you

can see that the the number of students

for a conventional program is uh is

Convent convincing I mean this is one of

the flagship program for food there so

the differences between the conventional

and the odl is just the mode

this mode all right for odl it is

actually having two package but for odl

for conventional it's having two package

but for odl it's only

um one package where the minimum

semester for semester and maximum

semester is it a semester and we propose

to offer this uh in somewhere in October

2023.

okay so this is the overall process

okay registration online and this is uh

whatever happened

okay so let me just give the uh overview

for for the program so the goal of this

program is actually to produce an ICT

professional who have advanced knowledge

and skill in the field of business

intelligence and data analytics but for

your information here currently we also

accept students who are in a not in the

background of it but you must have an um

experience okay working experience at

least five years we have a few students

which are in business area human

resource and support

okay

all right so this is basically about the

conventional program

right so the level is a seven Master

Level so this is the score the the code

and the mqa standard is computing

uh this is basically the curriculum

structure but the credit hours 45 credit

uh thought courses uh full time okay um

the more delivery for this one is

actually odl

a compulsory subject uh compulsory

courses is 36 credit and elective

courses is nine credits so nine credit

means that you have only three uh

courses to take okay a compulsory

subject after we we will see in detail

okay uh this is the program additional

objective three objective here and we

have 11 PLO here

all right so in this program right you

can see that there are some uh one

mathematics which is statistic and then

there are subjects on business also and

they are also a subject which involve

competing okay one of it is actually the

advanced artificial intelligence

okay so this is a PLU

right so I so now let's just uh let me

just this this discuss on the open

distance learning so I guess I'll open

this instantly nowadays is a trending as

what Dr Alia need to say in just now

right so um for master um for this

program we are also going to offer uh

through this mode so what is a open

distance learning is actually it's a

it's known as any educational or

learning producer uh which the teachers

and students are separated

however you can still learn with us

online right so this is uh this program

is actually a flexible so wherever you

are okay although you are far from us

you can still learn uh uh uh with us

right so uh please visit uh um the the

website which is

odl.utm dot Mine and this program is

also under that website

all right so these are some of the

process uh because there's a few emails

that I get asking what is the process

okay because they notice that the

program is still not offered it's still

in the website uh they can see the word

coming soon right so they asked me so

when they can actually

register to the program so first what

you can do is just to go to the website

odl.utm dot Mine and look into the

program master of science this is

intelligent and analytic and then from

there you can actually click a click

okay to actually register so once you

register first what you can do is just

to to to get the offer letter so you

will receive the offer letter via email

and then please accept Okay please

accept a a via a smart.utm DOT mine then

what you need to do is just to to pay

the fee at the fee structure after I

will show and an e registration because

this is online so everything will be

online okay so e-registration update all

the information using e-dafta dot UTM

dot Mine even your metric card is also

online here it's actually e yeah so you

will receive an e-matric card upon the

confirmation of e-registration

completion from a UTM and then we will

have a briefing also online a course

registration we're also doing it online

and then last is actually uh the online

learning different from our normal

platform and this one is odl system

okay.utm dot my where uh for on uh for

uh for odl it is quite a difference from

the conventional where all the notes are

already prepared earlier and then when

the students enter the this platform

they can actually see all the six weeks

okay all the materials will be placed

earlier and also the assessment so

students can learn earlier before you

can before you attend the class this

student is actually the differences

between the old and odl and also the

conventional mode and what you can do is

this uh some of the most of the notes

will be also something like more okay

where actually you can they're having a

lot of videos and then some animation

right

um that that can help the student to

learn more about that right

okay and these are entry requirements

the entry requirements are very similar

are similar to the conventional program

okay are those who have who have not

have background of computing so we

actually looking into your working

experience to at least five years

okay so these are the English

requirement

so requirement for apple and also for

people with disabilities

also these are I think most of the

students would like to see this so these

are the fee uh for odl you can see our

conventional we have pickage one and

package two package one classes will be

conducted

um weekdays whereby pickage two is only

weekends or kodl a 19600 for a local

student Malaysian student so

international student

right a conventional and also odia

I think a y and their fee is expensive

is because that we we have to pay all

the platform and then we are using their

bags and so so many more

all right so these are some of the list

of courses these are the uh core courses

that the students need to take

compulsory yeah so data governance apply

statistics the only mathematics here a

business intelligence okay data

visualization and this subject is quite

very good for those who who are actually

using a power BIW or so forth data

mining right for analytical Business

Solution uh cloud computing for Big Data

resource methodology this is compulsory

uh project one and project two so

project one and project two is actually

your capstone's project

okay

then these are the elective courses okay

normally we will actually offer this

Force up for subject but students only

allowed to take three three of uh of the

four

okay so these are another compressive

subject which is the University subject

and for them normally will offer

informatics in society but however but

but the others right we have to see

whether they are offering to them of odm

okay

all right so this is the curriculum

structure where semester one you have to

take 12 credits semester two is also 12

credit you can see here that the

governance are statistic business

intelligence and data visualization

semesters two start with your little bit

um difficult again determining cloud

computing and then resource methodology

and one of the elective courses okay

normally we will offer a business

analytic then semester three will be

elective two or normally we will offer

here at once at artificial intelligence

the university courses and we start your

capstone's project like project one so

semester four another uh elective and

then a project two

okay

all right so uh this odn modular base

six weeks

right and minimum hours for online

teaching is actually 12 hours and this

is the minimum hours

okay some of the synopsis of the core or

caucuses so you can reach here okay data

governance it's actually uh introduced

the key concept principle the tools of

the data governance there are some

mixture here okay not so technical I

think most of the students can actually

score this subject

okay so this one apply statistic about

Dr Norwood normally will actually teach

in terms of the business intelligence

and analytics to how to actually make it

an intelligent so quite a bit different

from a normal statistic okay

and then next is a business intelligent

okay this one normally will be taught by

the 10 million so this courses uh this

course introduces students the concept

practice system and this subject

actually giving a lot of introduction

before you move into Data Mining

Advanced artificial intelligence and so

forth so it gives a very brief knowledge

right and then a data visualization this

one will actually more detail on data

visualization than most of the students

actually enjoy okay this subject because

they have to actually in working area

also they told me that they have to use

power bi W and so forth so when they

took this course course they can

actually apply in their working

environment

okay

then we have data mining okay and this

is about the data mining the

computational Paradigm also here uh you

are actually we will introduce python

here okay on how to do data mining

okay and also cloud computing

right last is the cloud computing

all right uh so I did not give the cost

synopsis here for the elective uh

courses however if you would like to

know more you can ask me uh during this

session

okay thank you so much

okay thank you very much Dr shalisa for

the very informative information and now

we open uh the Q and a session to the

participants

if you have any question please ask here

if you're not clear about the about the

fee or about the program structure you

may ask now

anyone

Mr Vijay do you have any question

uh

I have a question actually doctor

yeah yeah sure uh so this is uh this

course uh business intelligence uh cost

is actually

uh more like data science right

yeah but it's actually a mixed with

business subject

towards business

yeah it's actually a bit if you can see

the list of courses there are some uh

subjects which is towards the business

subject but towards the analytic like

when we have business business Analytics

and then we have Business and

Entrepreneurship right but something how

you process the business data I see I

feel like if we learn on data mining I

will also apply a data mining on

business problem something like that

okay doctor thank you

next we have questions from

aswani what is the the estimation date

the student can enroll this program

maybe I can I can help a bit

um because this program has uh in the

process of getting approval from the

ministry so uh we can only uh

open the registration starting from

semester two but maybe in may or may

onwards so most probably the intake will

be for the uh September

September this year semester one session

2023 2024.

so any other question

can the link be open earlier

um

meeting it will be in March right so

most probably we'll get the approval

letter from them

one month after that then only after

that we can proceed within the system

because

some are some of this potential student

email me asking that why the link is

still not open

because we are still waiting for the uh

meeting at the kpt level so actually we

can't offer it without their I mean uh

without the approval from the ministry

so that's the answer

so once uh we get the approval then

um we will I mean uh the the the link

for the application can be

open I mean for the application

um

the objective of our virtual preview

today is uh to promote early yeah

actually we will have another series of

promotion after this so this is the

introduction to the program we hope that

to those participants who have attended

this uh session with uh share this

information to your colleagues

this is very popular program at another

faculty right for the conventional yeah

yeah

so any other questions from Miss hanisa

or Mr Justin

Ahmed

a Mr Nafi is actually one of the degree

students again and he uh

um classmate yeah asking that whether

they can just take the the courses of

advanced artificial intelligence only

that causes only

for conventional uh so that is what they

asked I think can I'm not sure

Mr Justin

you have any question

hello hello thank you thank you

sir currently you are in Malaysia or

China

yeah

I mean KL already oh okay

and it's also a student

is it

okay since everyone

um

maybe do not have a

the idea to us yet but never mind we

will share the slides and the recording

at our apps website later and maybe you

can share with your colleagues as well

so I think uh that's all for our session

for today if you don't have any question

uh we'd like to spontaneously to

interrupt maybe the uh the participants

can fill in the survey form and then we

will share the slide with them

yeah

please please uh please fill up the

survey form that we share at the chat

box

okay

so before before we end our program we'd

like to thank

umiza and also the Tasha azmila for the

first session uh associate professor Dr

Samira and uh lectures from the Raza

faculty and also the participants to our

virtual program preview for today so we

hope that this is not uh it would not

end uh here we hope that we can as we

can see you in UTM later after you

register to enroll our to our program

later okay so thank you very much again

for participating in this program

foreign