Master of Data Science

1. Discipline-specific knowledge and capabilities: appropriate to the level of study related to a discipline or profession.

• Develop a broad, coherent knowledge of the analytics discipline, including: the origin and characteristics of data; the methods and approaches to dealing with data appropriately and securely; and how the use of analytics outcomes can be used to improve business, organisations or society.

• Apply advanced knowledge and skills to decompose complex processes (from real world situations) to develop data analytics solutions for use in modern organisations across multiple industry sectors.

• Assess the role data analytics plays in the context of modern organisations and society in order to add value.

2. Communication: using oral, written and interpersonal communication to inform, motivate and effect change.

• Communicate effectively in order to design, evaluate and respond to advances in data analytics approaches, technology, future trends and industry standards and utilise a range of verbal, graphical and written forms, customised for diverse audiences including specialist and non- specialist clients, colleagues and industry personnel.

3. Digital literacy: using technologies to find, use and disseminate information.

• Utilise a range of digital technologies and information sources to discover, select, analyse, synthesise, evaluate, critique and disseminate both technical and professional information.

4. Critical thinking: evaluating information using critical and analytical thinking and judgment.

• Appraise complex information using critical and analytical thinking and judgement to identify problems, analyse user requirements and propose appropriate and innovative solutions.

5. Problem solving: creating solutions to authentic
(real world and
ill-defined) problems.

• Generate data solutions through the application of specialised theoretical constructs, expert skills and critical analysis to real-world, ill-defined problems to develop appropriate and innovative IT solutions.

6. Self-management: working and learning independently, and taking responsibility for personal actions.

• Take personal, professional and social responsibility within changing national and international professional IT contexts to develop autonomy as researchers and evaluate own performance for continuing professional development.

• Work autonomously and responsibly to create solutions to new situations and actively apply knowledge of theoretical constructs and methodologies to make informed decisions.

7. Teamwork: working and learning with others from different disciplines and backgrounds.

• Work independently and collaboratively towards achieving the outcomes of a group project, thereby demonstrating interpersonal skills including the ability to brainstorm, negotiate, resolve conflicts, manage difficult and awkward conversations, provide constructive feedback, and demonstrate the ability to function effectively in diverse professional, social and cultural contexts.

8. Global citizenship: engaging ethically and productively in the professional context and with diverse communities and cultures in a global context.

• Engage in professional and ethical behaviour in the design, development and management of IT systems, in the global context, in collaboration with diverse communities and cultures.