Programme Aims:
The Master in Data Management and Analytics programme aims to cater for:
1. The candidates from the industry who are keen in continuous learning and advanced their knowledge in the field of data management and analytics.
2. Fresh graduates who wish to obtain an in-depth knowledge and capabilities in the field of data management and analytics, thereby having better career prospects in that field.
Programme Educational Objectives (PEO):
The objectives of the Master in Data Management and Analytics programme are to produce:
PEO 1 – Graduates competent in utilizing methods, techniques and technologies in data management and analytics.
PEO 2 – Graduates capable of pursuing professional development and the betterment of the data analytics profession and society.
PEO 3 – Graduates capable of communicating, and working with diverse group of people.
Programme Learning Outcome (PLO):
PLO 1 – Integrate advanced knowledge related to current research issues and challenges in data management and analytics.
PLO 2 – Evaluate solutions for complex data management and analytics problems based on principle of mathematics and statistics.
PLO 3 – Demonstrate technical and research skills to solve data analytics related issues.
PLO 4 – Demonstrate communication skills and the ability to work as a team.
PLO 5 – Demonstrate digital and numerical skills to design and plan evaluation activities by using quantitative/statistical tools.
PLO 6 – Demonstrate substantial responsibility in planning, resource management, supervision and problem solving and managing work.
PLO 7 – Commit to principle of lifelong learning with personal skills for continuous development.
PLO 8 – Uphold professional virtues and principles with strong commitment to ethical responsibilities in the evaluation and assessment of subject matters pertinent to the professional conduct.
Mapping of Programme Learning Outcomes (PLO) and Programme Educational Objectives (PEO):
