UTM PG ODL PROGRAM (Master of Science Business Intelligence and Analytics)
Summary
TLDRThis 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
- đ The event is a virtual program preview for the Master of Science in Business Intelligence and Analytics (ODL) program.
- đ This program is offered by UTM and is fully online, providing flexibility for students to study remotely.
- đ 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.
- đ The program provides in-depth information on structures, admission requirements, and fees.
- đ» The ODL (Open Distance Learning) format differs from conventional programs but maintains the same curriculum structure with 45 credit hours.
- đ The program is expected to begin in October 2023, with a minimum of four semesters and a maximum of eight semesters.
- đ The program focuses on developing ICT professionals with advanced knowledge in business intelligence and data analytics.
- đ©âđŒ Students from non-IT backgrounds are accepted, provided they have at least five years of working experience.
- đĄ The curriculum includes core subjects like data governance, statistics, business intelligence, data mining, and electives such as advanced artificial intelligence.
- đ± 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
đ 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.
đ» 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.
đ 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.
đ 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.
đ 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.
Mindmap
Keywords
đĄBusiness Intelligence
đĄAnalytics
đĄOpen Distance Learning (ODL)
đĄCurriculum Structure
đĄCapstone Project
đĄAdmission Requirements
đĄData Mining
đĄArtificial Intelligence
đĄFlexible Learning
đĄProject-Based Learning
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
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