Use the Tab and Up, Down arrow keys to select menu items.
The internship aims to provide exposure to challenges faced by an organisation through experiential learning. This will reinforce and develop knowledge from other MBIS and graduate courses by providing students with an opportunity to apply IS theory to practice. The internship aims to foster the further development of knowledge and/or expertise in relation to information systems, as well as problem solving, risk management, project management, and reflection and communication skills.
At the end of the internship, students should be able to: 1) Enhance the understanding of theories, ideas, and practices in IS disciplines through active participation in practical, work-based learning opportunities. 2) Develop an internship project proposal, a project plan and relevant management plans. 3) Achieve a level of performance in the internship that meets industry standards 4) Reflect on the knowledge and skills needed to complete the internship, including how they were developed during the internship and how they relate to other courses completed. 5) Present the internship findings (including deliverables, processes and learning) in different forms (i.e. report and presentation).
(1) 60 points from MBIS; (2) Subject to approval of the Head of Department.
Students must attend one activity from each section.
Monday 12:00 - 14:00 Psychology - Sociology 251 in Week 1, Week 2, Week 7, Week 11 and Week 12 Due to the practical nature of the course, classroom sessions for MBIS691-26S2 are not recorded using the ECHO360 lecture recording system.
Pan Zheng
To pass this course you must achieve a final grade of 50% or higher. The ‘45% rule’ does not apply to this course. Guidelines for the Use of AI in Coursework The use of AI may or may not be permitted in courses. Within a course, permission may vary by assignment. It is the responsibility of the student to inform themselves about assessment conditions and submit work that is their own and that properly acknowledges the work of other people and tools, including generative artificial intelligence tools. It is important to familiarise yourself with the UC Misconduct Procedure Guide for Students. Examples of academic misconduct include, but are not limited to: Where a student uses a generative artificial intelligence (AI) tool for an assessment in a manner that is not expressly permitted or fails to acknowledge the use of a generative AI tool as instructed. For this course The use of Artificial Intelligence (AI), natural language processing (NLP) tools and Large Language Models (LLM) such as ChatGPT are not permitted. Use of AI tools to assist with the generation of any part of your assessments in this course constitutes a breach of instructions and may result in an Academic Misconduct referral. If at all unsure regards AI use, please email the course coordinator. Assessment In Te Reo Māori In recognising that Te Reo Māori is an official language of New Zealand, the University provides for students who may wish to use the Te Reo Māori in their assessment. If you intend to submit your work in Te Reo Māori you are required to do the following: Read the Assessment in Te Reo Māori Policy and ensure that you meet the conditions set out in the policy. This includes, but is not limited to, informing the Course Coordinator 1) no later than 10 working days after the commencement of the course that you wish to use Te Reo Māori and 2) at least 15 working days before each assessment due date that you wish to use Te Reo Māori.
There is no required textbook for the course. Readings will be provided on the course LEARN page.
Domestic fee $2,395.00
International Postgraduate fees
* 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 Business Taught Masters Programmes on the departments and faculties page .