INFO261-23S1 (C) Semester One 2023

Introduction to Business Analytics

15 points

Start Date: Monday, 20 February 2023
End Date: Sunday, 25 June 2023
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 5 March 2023
  • Without academic penalty (including no fee refund): Sunday, 14 May 2023


The aim of this course is to help students develop an understanding of business 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 visualization/visual analytics, regression, cluster analysis and exploratory data analysis, and apply these to decision-making in organisations.

Learning Outcomes

  • At the end of this course, students will be able to:
  • Demonstrate an understanding of key business data analytics concepts, tools and techniques
  • 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.
  • To recognise and analyse organisational problems and opportunities related to the role and use of
    data analytics in organisations
  • 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.
  • 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
    • University Graduate Attributes

      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.

      Biculturally competent and confident

      Students will be aware of and understand the nature of biculturalism in Aotearoa New Zealand, and its relevance to their area of study and/or their degree.

      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


Timetable 2023

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Friday 09:00 - 11:00 Jack Erskine 443
20 Feb - 2 Apr
24 Apr - 4 Jun
Computer Lab A
Activity Day Time Location Weeks
01 Wednesday 14:00 - 15:00 Ernest Rutherford 464 Computer Lab
20 Feb - 2 Apr
24 Apr - 4 Jun

Course Coordinator

Pan Zheng


Thilini Bhagya


Assessment Due Date Percentage 
Lab Assignments 10%
Group Project 25%
Term Test 30%
Exam 35%

Textbooks / Resources

Recommended Reading

Sharda, Ramesh. , Delen, Dursun., Turban, Efraim; Business intelligence, analytics, and data science : a managerial perspective ; 4th ed., global ed; Pearson, 2018.

Indicative Fees

Domestic fee $899.00

International fee $4,750.00

* 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 .

All INFO261 Occurrences

  • INFO261-23S1 (C) Semester One 2023