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The aim of this course is to help students develop an understanding of business/data analytics, and provide an opportunity to gain experience with diverse methods and technologies related to common aspects of analytics. Key concepts, analytical techniques and tools applicable data analytics and data-driven decision-making are introduced. Students completing this course have an opportunity to develop fundamental skills in the use of common business analytics tools including data visualization/visual analytics, regression, cluster analysis and exploratory data analysis, and apply these to decision-making in organisations.
At the end of this course, students will be able to:1. Demonstrate an understanding of key business data analytics concepts, tools and techniques.2. To recognise and demonstrate an understanding of issues related to the use of business data for decision-making including data ownership, and cultural and ethical considerations.3. To recognise and analyse organisational problems and opportunities related to the role of and use of data analytics in organisations.4. To select and apply suitable techniques (e.g. regression, forecasting, cluster analysis, visualisation), extract meaningful insights from various data, and make recommendations that align with the organisations' context and objectives.5. Work as a team to perform key activities related to the analysis of organisational data and provide and communicate evidence-based recommendations to an audience.
This course will provide students with an opportunity to develop the Graduate Attributes specified below:
Critically competent in a core academic discipline of their award
Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.
Employable, innovative and enterprising
Students will develop key skills and attributes sought by employers that can be used in a range of applications.
(1) INFO123; and (2) a further 15 points from 100-level or above.
Pan Zheng
Sharda, Ramesh. , Delen, Dursun., Turban, Efraim; Business intelligence, analytics, and data science : a managerial perspective ; 4th ed., global ed; Pearson, 2018.
Domestic fee $860.00
International fee $4,438.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
For further information see Department of Accounting and Information Systems .