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  4. Master of Data Science

Master of Data Science (MDataSci)

by University Of Auckland Claim Listing

We also offer the master of data science (mdatasci) as a 240-point taught masters as a march intake only. This is suitable for students who have a background in either computer science or statistics, but not both. Students who have majored in data science, or a combination of computer science and st

$10892.4

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img Duration

2 Semesters

Course Details

We also offer the master of data science (mdatasci) as a 240-point taught masters as a march intake only. This is suitable for students who have a background in either computer science or statistics, but not both. Students who have majored in data science, or a combination of computer science and statistics, should apply for the 180-point taught masters. 

  • The ability to turn data into information, knowledge and innovative products is a skill in high demand within industry. By completing a strong core of Computer Science and Statistics courses, you will gain a unique combination of skills in Data Science and be able to comprehend, process and manage data effectively to extract value from it. Graduates will be critical, reflective practitioners able to pursue professional goals and further postgraduate study.

Programme structure
180-point taught masters

60 points:

  • COMPSCI 752 Big Data Management
  • COMPSCI 760 Advanced Topics in Machine Learning
  • STATS 763 : Advanced Regression Methodology
  • STATS 769 Advanced Data Science Practice

At least 15 points from:

  • STATS 705 Topics in Official Statistics
  • STATS 730 Statistical Inference
  • STATS 767 Foundations of Applied Multivariate Analysis
  • STATS 784 Statistical Data Mining
  • STATS 786 Time Series Forecasting for Data Science
  • STATS 787 Data Visualisation

At least 15 points from:

  • COMPSCI 711 Parallel and Distributed Computing
  • COMPSCI 720 Advanced Design and Analysis of Algorithms
  • COMPSCI 734 Web, Mobile and Enterprise Computing
  • COMPSCI 750 Computational Complexity
  • COMPSCI 753 Algorithms for Massive Data

Up to 45 points from:

  • COMPSCI 705 Advanced Topics in Human Computer Interaction
  • COMPSCI 715 Advanced Computer Graphics
  • COMPSCI 732 Software Tools and Techniques
  • COMPSCI 761 Advanced Topics in Artificial Intelligence
  • COMPSCI 765 Modelling Minds
  • COMPSCI 767 Intelligent Software Agents
  • DIGIHLTH 701 Principles of Digital Health
  • DIGIHLTH 702 Health Knowledge Management
  • DIGIHLTH 704 Healthcare Decision Support Systems
  • ENGSCI 711 Advanced Mathematical Modelling
  • ENGSCI 755 Decision Making in Engineering
  • ENGSCI 760 Algorithms for Optimisation
  • ENGSCI 761 Integer and Multi-objective Optimisation
  • ENGSCI 762 Scheduling and Optimisation in Decision Making
  • ENGSCI 763 Advanced Simulation and Stochastic Optimisation
  • ENGSCI 768 Advanced Operations Research and Analytics
  • INFOSYS 700 Digital Innovation
  • INFOSYS 720 Information Systems Research
  • INFOSYS 722 Data Mining and Big Data
  • INFOSYS 757 Project Management and Outsourcing
  • MATHS 715 Graph Theory and Combinatorics
  • MATHS 761 Dynamical Systems
  • MATHS 765 Mathematical Modelling
  • MATHS 766 Inverse Problems
  • MATHS 769 Stochastic Differential and Difference Equations
  • MATHS 770 Advanced Numerical Analysis
  • OPSMGT 741 System Dynamics and Complex Modelling
  • OPSMGT 752 Research Methods – Modelling
  • OPSMGT 760 Advanced Operations Systems
  • OPSMGT 766 Fundamentals of Supply Chain Coordination
  • SCIENT 701 Accounting and Finance for Scientists
  • SCIENT 702 Marketing for Scientific and Technical Personnel
  • SCIENT 705 Research Commercialisation
  • STATS 710 Probability Theory
  • STATS 726 Time Series
  • STATS 731 Bayesian Inference
  • STATS 732 Foundations of Statistical Inference
  • STATS 762 Regression for Data Science
  • STATS 770 Introduction to Medical Statistics
  • STATS 779 Professional Skills for Statisticians
  • STATS 780 Statistical Consulting
  • STATS 782 Statistical Computing
  • Other 700-level courses approved by the programme director

45 points:

  • DATASCI 792 Dissertation

240-point taught masters
The intake for the 240-point taught masters is in March only.

60 points from:

  • COMPSCI 717 Fundamentals of Algorithmics
  • COMPSCI 751 Advanced Topics in Database Systems
  • COMPSCI 762 Foundations of Machine Learning
  • DATASCI 709 Data Management
  • STATS 707 Computational Introduction to Statistics
  • STATS 709 Predictive Modelling
  • STATS 762 Regression for Data Science
  • STATS 765 Statistical Learning for Data Science
  • STATS 782 Statistical Computing
  • Other 700-level courses offered at this University approved by the Director

60 points:

  • COMPSCI 752 Big Data Management
  • COMPSCI 760 Advanced Topics in Machine Learning
  • STATS 763 Advanced Regression Methodology
  • STATS 769 Advanced Data Science Practice

At least 15 points from:

  • STATS 705 Topics in Official Statistics
  • STATS 730 Statistical Inference 
  • STATS 762 Regression for Data Science
  • STATS 767 Foundations of Applied Multivariate Analysis
  • STATS 784 Statistical Data Mining
  • STATS 786 Time Series Forecasting for Data Science
  • STATS 787 Data Visualisation

At least 15 points from:

  • COMPSCI 711 Parallel and Distributed Computing
  • COMPSCI 720 Advanced Design and Analysis of Algorithms
  • COMPSCI 734 Web, Mobile and Enterprise Computing
  • COMPSCI 750 Computational Complexity
  • COMPSCI 753 Algorithms for Massive Data

Up to 45 points from:

  • COMPSCI 705 Advanced Topics in Human Computer Interaction
  • COMPSCI 715 Advanced Computer Graphics
  • COMPSCI 732 Software Tools and Techniques
  • COMPSCI 761 Advanced Topics in Artificial Intelligence
  • COMPSCI 765 Modelling Minds
  • COMPSCI 767 Intelligent Software Agents
  • DIGIHLTH 701 Principles of Digital Health
  • DIGIHLTH 702 Health Knowledge Management
  • DIGIHLTH 704 Healthcare Decision Support Systems
  • ENGSCI 711 Advanced Mathematical Modelling
  • ENGSCI 755 Decision Making in Engineering
  • ENGSCI 760 Algorithms for Optimisation
  • ENGSCI 761 Integer and Multi-objective Optimisation
  • ENGSCI 762 Scheduling and Optimisation in Decision Making
  • ENGSCI 763 Advanced Simulation and Stochastic Optimisation
  • ENGSCI 768 Advanced Operations Research and Analytics
  • INFOSYS 700 Digital Innovation
  • INFOSYS 720 Information Systems Research
  • INFOSYS 722 Data Mining and Big Data
  • INFOSYS 757 Project Management and Outsourcing
  • MATHS 715 Graph Theory and Combinatorics
  • MATHS 761 Dynamical Systems
  • MATHS 765 Mathematical Modelling
  • MATHS 766 Inverse Problems 
  • MATHS 769 Stochastic Differential and Difference Equations
  • MATHS 770 Advanced Numerical Analysis
  • OPSMGT 741 System Dynamics and Complex Modelling
  • OPSMGT 752 Research Methods - Modelling 
  • OPSMGT 760 Advanced Operations Systems
  • OPSMGT 766 Fundamentals of Supply Chain Coordination
  • SCIENT 701 Accounting and Finance for Scientists
  • SCIENT 702 Marketing for Scientific and Technical Personnel
  • SCIENT 705 Research Commercialisation
  • STATS 710 Probability Theory 
  • STATS 726 Time Series 
  • STATS 731 Bayesian Inference
  • STATS 732 Foundations of Statistical Inference
  • STATS 770 Introduction to Medical Statistics
  • STATS 779 Professional Skills for Statisticians
  • STATS 780 Statistical Consulting 

Any courses listed elsewhere in this schedule or other 700-level courses offered at this University approved by the Director

45 points:

  • DATASCI 792 Dissertation 

Where could this programme take you?

  • With the current demand for continued professional development in this area, this advanced qualification will help you to develop your data science skills to become well-positioned to pursue employment in the data science industry.

Jobs related to this programme

  • Business analyst
  • Big data solutions architect
  • Data mining engineer
  • Data scientist
  • Digital product designer
  • Machine learning engineer

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