Data, Analytics & Insights
| Program start date | Application deadline |
| 2026-07-06 | - |
Program Overview
Introduction to MBUA 512: Data, Analytics & Insights
The MBUA 512 course equips students with a solid foundation in relational databases, data analytics, and evidence-based decision-making for business development. Through theoretical and hands-on approaches, students learn database design, querying, analytics, and data visualisation. Real-world applications empower them to harness data-driven insights, fostering strategic growth in both for-profit and not-for-profit contexts.
Course Details
- Course Code: MBUA 512
- Duration: 18 weeks
- Start Date: 6 July 2026
- End Date: 8 November 2026
- Trimester: Trimester 2
- CRN: 33471
- Lecture Time: Friday, 2:40 pm
- Location: Kelburn
- Fees (Domestic): NZ$2,313.90
- Fees (International): NZ$4,848.90
- Estimated Workload: Approximately 150 hours or 8.3 hours per week
- Points: 15
Entry Restrictions
- Prerequisites: None
- Corequisites: None
- Restrictions: None
Course Objectives
Students who pass this course will be able to:
- Understand the key concepts in database management
- Design and implement an effective database
- Write and explain effective database queries
- Apply and explain the use of analytics in solving business problems
- Interpret analytics results for decision making
How the Course is Taught
The course involves attending one weekly in-person lectorial over the whole trimester. Each lectorial session will be 2 hours long. Recordings will be made available.
Assessment
- Data Modelling and Database Queries: Individual, 20%
- Data Modeling Assignment: Individual, 30%
- Analytics Exercises: Individual, 20%
- Data Analytics Strategy Report (2,500 words): Individual, 30%
Mandatory Requirements
There are no mandatory requirements for this course.
What You'll Need to Get
A laptop or PC will be required to complete activities.
Faculty and Course Administration
- Faculty: Faculty of Commerce & Administration — Wellington School of Business and Government
- Course Coordinator: Professor Markus Luczak-Roesch
- Lecturer: Professor Michael Winikoff
- Course Administrator: Cory Alip
Disclaimer
This course outline may be subject to change.
