Master of Data Science

Charles Darwin University (CDU)

Type of institution: University/Higher Education Institution
Level: Postgraduate
CRICOS: 00300K

The Master of Data Science will further develop your technical and analytical skills needed to manage and interpret useful insights from massive data sets. This qualification complements the following multi-disciplinary areas: computer scienceinformation technologyinformation systemsstatisticsmathematicsengineering or a program with substantial quantitative competencies.Your coursework will also include a project-based assessment allowing you to focus on what you are passionate about.

Structure

The course consists of core units, thesis research units, specialist elective units and general elective units. The core units of this program will allow you to explore a range of data science concepts. Research units will allow you to complete an individual research thesis in a chosen area under the guidance of an academic supervisor. The thesis can be carried out within a university, industry, or government setting. Specialist electives will grow your knowledge in areas such as advanced research methods, decision making and biostatistics. General elective units will allow you to study complimentary courses or explore other areas of interests. The course stresses both the importance of theory and the application of theory in practice through projects and practical exercises. You can study a Master of Data Science online or on campus. Access to the internet is required for distance learning, with access to high speed broadband highly recommended.A candidate must successfully complete units totalling 160 credit points as detailed below. All units are valued at 10 credit points unless indicated.Unit typeCredit PointsSpecific requirementsCore(11 units)   110cp   Compulsory Core units totalling 110 credit points as detailed below:HIT137 Software NowHIT140 Foundations of Data ScienceHIT220 Algorithms and ComplexityHIT234 Database conceptsPRT520 Principles of Computing SystemsPRT531 Business Intelligence and Data MiningPRT551 Project Management, Risk and ReliabilityPRT563 Advanced Data ManagementPRT564 Data Analytics and VisualisationPRT565 Machine Learning and Artificial IntelligencePRT574 Security Assessment in Software Development Specialist Electives(1 units)  10cp   Specialist Elective units totalling 10 credit points selected from one of the options detailed below:BUS501 Decision MakingPHM553 Introduction to BiostatisticsPRT532 IT Service ManagementSTA510 Business Statistics Research Units(2 units) 40cp Research totalling 40 credit points as detailed below:PRT820 Master Thesis x 2 (20cp repeatable unit)Course Total160cp Students who commenced in or after 2013The grade of "PC" cannot be counted towards a Masters Degree by Coursework AQF Level 9 course award. Students should refer to the current Grading Policy and Common Course Rules for further information. 

Subjects

  • Engineering and IT

Standard entry requirements

Successful completion of a recognised bachelor degree or equivalent international qualification.

Study information

CampusFeesEntryMid year intakeAttendance
Casuarina International: $29,616 No
  • Full-time : 2 years
  • Part-time : 4 years
CDU Online International: $29,616 No
  • Full-time : 2 years
  • Part-time : 4 years

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