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Master of Data Science (MC-DATASC) // Attributes, outcomes and skills

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Intended learning outcomes

On completion of the course, students should be able to:

  • Demonstrate a detailed technical understanding of the key advanced tools and methods used in data science;
  • Demonstrate expertise in machine learning methods and strategies for advanced data mining, expertise in database systems, and expertise in computational statistics.
  • Integrate and apply this expertise to produce solutions for real-world problems using public and private data sources.
  • Demonstrate a sophisticated awareness of ethical implications relevant to the use of data, and particularly “big data”;
  • Demonstrate skills in the evaluation and synthesis of information from a range of sources and the ability to apply these skills to understand the international peer-reviewed scientific literature and primary research in data science and disciplines relevant to data science;
  • Have the ability to adapt to a rapidly evolving field.

Generic skills

Graduates will:

  • Have the ability to demonstrate advanced independent critical enquiry, analysis and reflection
  • Have a strong sense of intellectual integrity and the ethics of scholarship
  • Have in-depth knowledge of their specialist area
  • Reach a high level of achievement in writing, research or project activities, problem-solving and communication
  • Be critical and creative thinkers, with an aptitude for continued self-directed learning
  • Be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines
  • Have a set of flexible and transferable skills for different types of employment; and
  • Be able to initiate and implement constructive change in their communities, including professions and workplaces

Graduate attributes

Graduates have a sound knowledge of modern statistical methodology and computing that will equip them for a career in data science and enable their careers to develop as data science evolves.

Graduates will:

  • have the ability to demonstrate advanced independent critical enquiry, analysis and reflection;
  • have a strong sense of intellectual integrity and the ethics of scholarship;
  • have in-depth knowledge of modern statistical methodology and computing
  • reach a high level of achievement in writing, research or project activities, problem-solving and communication;
  • be critical and creative thinkers, with an aptitude for continued self-directed learning;
  • be able to examine critically, synthesise and evaluate knowledge across a broad range of disciplines;
  • have a set of flexible and transferable skills for different types of employment; and
  • be able to initiate and implement constructive change in their communities, including professions and workplaces