About This Course
Building High-Demand Skills and New Capabilities for IR 4.0
The programme aims to produce graduates to meet the growing demand for data science professionals who are capable of making decisions based on the availability of comprehensive data. It prepares graduates to apply analytics techniques for knowledge discovery and dissemination to assist researchers or decision-makers in achieving organisational objectives.
Objectives
The objectives of the Master of Data Science are to produce graduates who are able to:
- Apply quantitative modelling and data analysistechniques to the solution of real world business problems, communicate findings, and effectively present results using data visualisation techniques
- Recognise and analyse ethical issues in business related to intellectual property, data security, integrity, and privacy
- Demonstrate knowledge of statistical data analysis techniques utilised in decision-making.
- Use data mining software to solve real-world problems
- Employ cutting edge tools and technologies to analyse Big Data
- Apply algorithms to build machine intelligence
- Demonstrate use of team work, leadershipskills and decision making
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Entry Requirements
Any one of the following:
- A Bachelor’s degree or its equivalent, with a minimum CGPA of 2.75; OR
- A Bachelor’s degree or its equivalent, with a minimum CGPA of 2.50 and not meeting CGPA of 2.75, can be accepted subject to a rigorous internal assessment process; OR
- A Bachelor’s degree or its equivalent, with CGPA between 2.00 and 2.50, with a minimum of 5 years’ working experience in a relevant field may be accepted subject to a rigorous internal assessment process.
For candidates without a Computing degree, prerequisite module(s) should be taken to adequately prepare them for their advanced study.
International applicants will also be required to fulfil one of the following English language competencies:
- IELTS: 5.0 OR
- TOEFL: 500 OR
- Equivalent qualification
Programme Duration
6 academic subjects to be completed in a minimum period of 1 year full time and 2 years part time.
Career Prospects
After completion of this programme, students may pursue the following careers:
- Machine Learning Scientist
- Decision Analytics Manager
- Data Analytics Manager
- Data Scientist
- Data Innovation Manager
- Business Analyst Manager
- Business Intelligence Developer
- Data Architect
- Data Analyst
- Statistician
- Data Mining or Big Data Engineer
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