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Business analytics is a field that studies, interprets and visualises data to uncover patterns and insights that support informed decision-making. It produces actionable knowledge that can suggest how to improve business outcomes. This course introduces fundamental data analytics approaches and technology platforms widely used in industry practice. It addresses problems and opportunities comprehensively in order to translate business problems, specify questions, prepare, analyse, visualise data and recommend actions. Students apply tools and techniques to various business contexts such as marketing, accounting, finance and operations management.
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 to different aspects of 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 visualisation/visual analytics, regression, cluster analysis and exploratory data analysis, and apply these to decision-making in organisations.
The objectives of the course are: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 ethical considerations.3) To recognise and analyse organisational problems and opportunities related to the role 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) To perform key activities related to the analysis of organisational data and provide and communicate evidence-based recommendations.
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.
Engaged with the community
Students will have observed and understood a culture within a community by reflecting on their own performance and experiences within that community.
Globally aware
Students will comprehend the influence of global conditions on their discipline and will be competent in engaging with global and multi-cultural contexts.
(1) 15 points from STAT101, DATA101, DIGI103; and (2) 15 points from INFO123, INFO125, COSC101, COSC121, COSC122, COSC131, DIGI101
MBIS624
Students must attend one activity from each section.
Nelly Todorova
Vernon J. Richardson | Marcia Watson; Introduction to Business Analytics ; McGraw Hill LLC, 2024.
Reference Text: Storytelling with Data: Let's Practice! by Cole N. Knaflic 2020Software: Excel, Power BI, Tableau Desktop (Education Licences will be provided by the course, check LEARN for details)
Domestic fee $1,038.00
International fee $5,388.00
* 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 on the departments and faculties page .