|
PLO
|
MQF 2.0 DOMAIN
|
PROGRAM LEARNING OUTCOMES, PLO
|
IEG ELEMENT
|
|
PLO1
|
Knowledge and Understanding
|
Integrate advanced knowledge related to current practices and research issues in Data Science and Analytics.
|
IEG 1
|
THINKER
|
|
PLO2
|
Practical Skills
|
Conduct standard approaches and apply practical skills, tools or investigative techniques which are at the forefront of Data Science and Analytics.
|
IEG 1
IEG 2
|
THINKER
BALANCED
|
|
PLO3
|
Cognitive Skills
|
Recommend innovative solutions and ideas that is at the forefront of developments in Data Science and Analytics.
|
IEG 1
|
THINKER
|
|
PLO4
|
Communication Skills
|
Communicate clearly the knowledge, skills, ideas, critique and rationale using appropriate methods to peers, experts and nonexperts.
|
IEG 4
IEG 2
|
ARTICULATE BALANCED
|
|
PLO5
|
Interpersonal Skills
|
Work together and interact effectively with different people in learning and working communities and other groups and networks.
|
IEG 4
|
ARTICULATE
|
|
PLO6
|
Ethics and Professionalism
|
Uphold professional and ethical practices in conducting research and delivering services related to the field of Data Science and Analytics.
|
IEG 2
|
BALANCED
|
|
PLO7
|
Personal Skills
|
Exhibit capabilities to extend knowledge through life-long learning related to Data Science and Analytics.
|
IEG 5
|
HOLISTIC
|
|
PLO8
|
Entrepreneurial Skills
|
Exhibit entrepreneurial mind-set related to Data Science and Analytics.
|
IEG 3
|
ENTREPRENEURIAL
|
|
PLO9
|
Leadership, Autonomy and Responsibility
|
Demonstrate leadership, autonomy, and responsibility in delivering services related to Data Science and Analytics.
|
IEG 5
|
HOLISTIC
|
|
PLO10
|
Digital Skills
|
Competently use and adapt a wide range of suitable digital technologies and appropriate software to enhance professional practice in Data Science and Analytics.
|
IEG 2
|
BALANCED
|
|
PLO11
|
Numeracy Skills
|
Utilise numerical skills to acquire, interpret and extend knowledge in Data Science andAnalytics.
|
IEG 1
|
THINKER
|
