Course Title: Data Innovation Hub 02

Part A: Course Overview

Course Title: Data Innovation Hub 02

Credit Points: 48.00

Course Coordinator: Dr Simon Thornton

Course Coordinator Phone: +61 3 9925 9313

Course Coordinator Email:

Course Coordinator Location: B080F06 R029

Course Coordinator Availability: Appointment via email

Pre-requisite Courses and Assumed Knowledge and Capabilities

Required Prior Study:
Course ID 054433 Data Innovation Hub 01

Course Description

This course Data Innovation Hub (DIH02) is the second of two 48 credit point courses that provide Bachelor of Business Professional Practice students with the opportunity to join the Data Innovation Hub (DIH) where you can work in the data and analytics industry. You will initially work alongside RMIT staff and junior data/analytic consultants solving project/problems within the University before moving on external placement with the hub industry partners.

In this course sequence Data Innovation Hub 01 (DIH01) and DIH02, you are expected to work towards completing the 42-week hub program. A stipend payment is made to the you during this period. 

While undertaking DIH02 you will have access to academic mentoring throughout your placement, as well as specialised career and personal development opportunities through the College of Business and Law’s Professional Practice Academy.



You must first apply and be accepted to the DIH before you enrol in this course. The following must be also completed:

  • A WIL Agreement must be completed by you, the host organisation, and RMIT University.
  • The internship and associated documents must be recorded in the university’s InPlace WIL system.
  • It is expected that this arrangement is a continuation of work started in DH01, that may also continue after graduation.
  • Assessment requirements should be read and understood prior to commencing your internship.

For more information, visit the data Innovation hub team.

Objectives/Learning Outcomes/Capability Development


This course is the second of two elements that facilitate the partnership between student, RMIT and an industry partner within the data and analytics field.

On successful completion of this course, you will be able to:

CLO1: Apply and evaluate the basic concepts of data communication and network technology such as: models, protocols, error handling, appropriate for the development of software applications in a networked environment.

CLO 2: Analyse communications systems and apply knowledge of data communication concepts to solve problems involving data communication in real world contexts.

CLO 3: Apply mathematical/analytic skills to basic performance evaluation and utilisation in industry.

CLO4: Incorporate your multi-disciplinary business knowledge to solve problems or identify solutions in data innovation contexts and communicate these outcomes in a variety of formats to different audiences.

CLO5: Undertake reflective praxis regarding your ongoing professional development and produce authentic artefacts that enhance your personal narrative and professional portfolio.

Overview of Learning Activities

Throughout this course you will be provided with information and resources via Canvas to guide you through an experiential learning process in relation to the practical work you complete for your chosen organisation.  Before you start your proposed role and/or project, you must seek approval by the responsible academic to ensure this is in line with your current study pathway.

Learning will be supported with practical tasks; seeking and providing peer feedback; and reflective praxis. In addition, personal research and development activities and recommended readings will cement knowledge gained. 

Overview of Learning Resources

Various learning resources are available online through MyRMIT Studies/Canvas. The lecture notes and workshop notes are posted on Canvas.

RMIT Library provides extensive resources, services and study spaces. You have access to scholarly resources including course related material, books, e-books, journals and databases.

Computers and printers are available at every Library. You can access the Internet and Library e-resources. You can also access the RMIT University wireless network in the Library.

Contact: Ask the Library for assistance and information on Library resources and services: Study support is available for assistance with assignment preparation, academic writing, information literacy, referencing, maths and study skills.  Additional resources and/or sources to assist your learning will be identified by your course coordinator and will be made available to you as required during the teaching period.

Overview of Assessment

The assessment tasks, their weighting and the course learning outcomes to which they are aligned are as follows.

Assessment Task 1: 10%
Linked CLOs: 1, 2, 3

Assessment Task 2: 20%
Linked CLOs: 1, 2, 3, 4, 5

Assessment Task 3: 20%
Linked CLOs: 2, 4

Assessment Task 4: 30%
Linked CLOs: 1, 2, 3, 4, 5

Assessment Task 5: 20%
Linked CLOs:  4, 5

Feedback will be provided throughout the semester in class and/or in online forums through individual and group feedback on progress, outcomes and approaches, and by individual consultation.