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PO Domains
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Programme Learning Outcome
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PO1
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Knowledge - Breadth
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Demonstrate detailed knowledge and understanding of areas of Mathematics, Statistics, Computer Science and Business Intelligence relevant to a Data Scientist.
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PO2
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Knowledge - Kind
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Demonstrate understanding of the terminology, defining concepts and theories underlying the Data Science and Analytics field;
demonstrate knowledge of the advanced methods and technologies for acquiring, interpreting and analysing big data, with a critical understanding of the appropriate contexts for their use;
relate current issues in Data Science to society;
understand
current knowledge of the Data Science field, including current limits of theoretical and applied knowledge.
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PO3
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Skill - Range
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Demonstrate mastery of relevant skills and tools in Statistics, Mathematics, Computer Science and Business Intelligence; use these to
solve complex problems involving big data sets; interpret and apply appropriate and referenced literature and other information sources;
work independently within defined time and resource boundaries;
communicate scientific information in a variety of forms to specialist and non-specialist audiences.
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PO4
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Skill - Selectivity
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Formulate and test hypotheses; design experiments;
appreciate current limits of knowledge in the Data Science field and respond appropriately; think independently and make effective decisions;
contribute fully to the day-to-day operations of the Data Science work setting.
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PO5
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Competence - Context
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Apply data analysis skills and technologies in a range of contexts in order to critically interpret existing knowledge and apply in new situations; make and report appropriate decisions in a responsible and ethical manner.
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PO6
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Competence - Role
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Act effectively under guidance in a peer relationship with qualified practitioners; participate constructively in a complex interdisciplinary team environment; plan for effective project implementation; reflect on own practices.
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PO7
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Competence - Learning to Learn
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Learn to act in variable and unfamiliar learning contexts; identify learning needs and undertake continuous learning in the Data Science field; assimilate and apply new learning.
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PO8
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Competence - Insight
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Demonstrate an understanding of the wider social, political, business and economic contexts of Data Science, including an appreciation of the philosophical and ethical issues involved.
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