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Master of Professional Studies (Data Science)
Course overview
| Qualification | Master's Degree |
| Study mode | Full-time, Part-time |
| Duration | 1 year |
| Intakes | March |
| Tuition (Local students) | $ 6,784 |
| Tuition (International students) | $ 26,003 |
About
This programme focuses on the application of data management and data analysis skills to a professional domain, such as business.
Admissions
Intakes
For admission requirements and intakes for each individual course/programme please refer to course details.
Tuition and application fees
- $ 6,784 per year
- Local students
- $ 26,003 per year
- International students
Estimated cost as reported by the Institution.
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.
Entry Requirements
Programme-specific entry requirements for postgraduate applicants with international qualifications:
- GPE: 5
- Australia (%): 70-75%
- China (%): 80-85%
- India (%): 60-65%
- Indonesia (GPA): 3.2-3.4
- Iran (Grade Average): 14.5-15.0
- Malaysia (GPA): 3.2-3.4
- Singapore (GPA): 3.7
- South Pacific-USP (GPA): 3.3
- Taiwan (%): 77-82%
- Thailand (GPA): 3.2-3.4
- UK (%): 60-65%
- USA (GPA): 3.2-3.4
- Vietnam (GPA): 7.0-7.5
Curriculum
Master of Professional Studies in Data Science - 120 point (one-year) Taught Masters
At least 30 points from:
- COMPSCI 751 Advanced Topics in Database Systems
- COMPSCI 752 Web Data Management
- COMPSCI 753 Uncertainty in Data
- COMPSCI 760 Datamining and Machine Learning
At least 30 points from:
- STATS 762 Special topic in regression
- STATS 769 Advanced Data Science Practice
- STATS 782 Statistical Computing
- STATS 784 Statistical Data Mining
Up to 30 points from:
- SCIENT 701 Accounting and Finance for Scientists
- SCIENT 702 Marketing for Scientific and Technical Personnel
- COMPSCI 705 Advanced Topics in Human Computer Interaction
- COMPSCI 711 Parallel and Distributed Computing
- COMPSCI 720 Advanced Design and Analysis of Algorithms
- COMPSCI 732 Software Tools and Techniques
- COMPSCI 734 Web, Mobile and Enterprise Computing
- INFOSYS 720 Information Systems Research
- INFOSYS 722 Data Mining and Big Data
- INFOSYS 727 Advanced Information Security
- INFOSYS 737 Adaptive Enterprise Systems
- INFOSYS 740 System Dynamics and Complex Modelling
- OPSMGT 760 Advanced Operations Systems
- OPSMGT 762 Quality Management
- STATS 779 Professional Skills for Statisticians
- STATS 783 Simulation and Monte Carlo Methods
30 points:
- COMPSCI 791 Dissertation
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