Master of Data Science

To enrol in DATA7901 with an industry project, you must follow our six-step process below.

Master of Data Science can choose to complete either a research or industry project for their capstone course. For those students wanting to submit an industry project, they must follow the below six step process below:

Step 1: Check your eligibility for the course

Step 2: Register your interest in the course

Let us know in advance that you're planning to enrol in DATA7901 with an industry capstone project. Industry capstone projects for this course are managed through UQ's placement management system, InPlace. To enrol in DATA7901 you must first register your intention to enrol via InPlace. Details on how to register your intention are outlined below:

Log in to InPlace using your student username and password (UQ single sign on).
If this is your first time logging in, you will need to accept the InPlace terms and conditions.
Navigate to 'My Details' via your username at the top right of the screen.
Update your personal details - mobile number, emergency contact.
Scroll down to the section DS Industry Capstone Registration'.
Select the semester in which you plan to enrol.

You must submit an EOI to gain access to the InPlace Self Placement submission portal for the relevant course, year, and semester. The self placement submission portals open and close on the following dates:

Enrolment semester	Self placements open	Self placements close
Semester 1	1 November (previous year)	12 January
Semester 2	1 April	30 June

Note: You won't be able to enrol in your course on mySI-net until we've confirmed your capstone project in InPlace (see step 6).

Step 3: Find an industry capstone project

Industry capstone projects for DATA7901 are student self-sourced. For information on self-sourcing your capstone project view our Self-Source guide. In addition, we have provided some tips to self-sourcing your project below:

Research organisations that you aspire to work with when you graduate and connect with alumni from your program on LinkedIn.
Take advantage of the career development resources available on the EAIT Employability website to help you write your application and prepare for interviews.
Complete EAIT Career Kickstarter Program
Utilise EAIT’s free resume feedback tool – VMock
Apply to the host organisations you've identified, long before you plan to enrol in the capstone course.

Some organisations:

Advertise student employment, vacation work or scholarships
Have a structured industry placement program in place
May be interested in hosting a student but not actively advertising positions.

Potential host organisations

Research organisations with which you'd like to undertake your industry capstone project or that you aspire to work with when you graduate. Types of organisations that might interest you:

Consultancies
Non-profit or non-government organisations
Government
Industry
Research facilities

If you need inspiration, check out the following links:

EECS project website
Search for people who have graduated from your program on LinkedIn
EAIT Student Employability Facebook Group
UQ StudentHub jobs board
Local Government Association of Queensland

Step 4: Apply to enrol

You'll need to complete an Industry capstone project self source application form with input from your supervisor at your host organisation. You can download the form from the Shared Documents Tab via InPlace.

You must submit your completed application on the InPlace portal. Make sure you've completed step 2 above to gain access to the correct portal for your course, year and semester.

You must submit your application to enrol in the capstone course with your industry project by the submission deadline.

Enrolment semester	Portal opens	Submission deadline
Semester 1	1 November (previous year)	12 January
Semester 2	1 April	30 June

We'll assess your application and refer it to the Course Coordinator for approval.

Once it's approved, you'll receive an email confirmation from EAIT Employability.

Step 5: Complete your pre-enrolment requirements

Before you can enrol in your course with your industry capstone project, you will need to satisfy all relevant pre-enrolment requirements.

Mandatory requirements

5 in 5 OHS module.
Students must complete the 5 in 5 Module prior to commencing their industry capstone.

The 5 in 5 modules can be accessed here.

The course consists of 5 modules covering key OHS topics:

Induction
Occupational Violence
Travel
Specific Workplace Hazards
Personal Safety

At the end of each Module, you will complete a Knowledge Check of five questions to confirm your understanding of the Module. Each combined Module/Knowledge Check should take no longer than five minutes, and you must achieve 100% on all five Knowledge Checks to be 'compliant' with this requirement.

Other requirements

You may also be required to:

Provide proof of your immunisations (if your host organisation has mandatory requirements)
Register your travel details through either the EAIT Domestic Travel Form or EAIT International Travel Form (if your industry capstone requires you to travel away from your normal residence during the semester) Student immunisation requirements
Obtain a Blue Card (if your industry capstone involves working with children)
Provide evidence of a criminal history check (if required by your host organisation.)

Once your industry capstone is confirmed, you'll be advised if you must satisfy any other requirements.

Step 6: Enrol and attend the mandatory workshop

Additional course information

The capstone project will focus on tackling a data science problem sourced from science, government or industry. Capstone projects can be research oriented or development oriented. Specifically, the course aims to equip students with the knowledge and skills needed to perform the design section of a data science project. This involves a precise problem formulation and effective communication with the project associates such as clients, managers, and investors.

Students who are interested in an industry capstone project are required to follow the 6 steps outlined above.

Please note, an industry capstone project is not mandatory and there will also be research projects available for this course.

Specific Capstone Rules and Requirements

Program Rules

Ensure you have read and are familiar with the Master of Data Science program rules - Hyperlink is Master of Data Science - my.UQ - The University of Queensland, Australia

Duration of your capstone project

You will spend one (1) day per week on average working on the industry project DATA7901 and three (3) days per week on average for DATA7902. The location and type of contact hours will be defined by your host supervisor. Standard business hours are typically eight (8) hours per day but your host supervisor will discuss expected hours with you.

UQ Assessment

You are required to submit a number of assessment items during your capstone project. For full details of the course assessment, refer to the course profile on UQ Blackboard.
You will also need to prepare and deliver a final oral presentation when you return from your capstone project. If your project is remote or overseas your final presentation may be delivered using video conferencing technology.
Your assessment items will be marked by your UQ academic supervisor or the course coordinator and your final report will be marked by at least one other examiner.
If you have any difficulties completing any of the assessment items by the due date, ensure that you let the course coordinator know as early as possible.

Learning Objectives

DATA7901

After successfully completing this course you should be able to:

Formulate a data science problem within a given application context by expressing your ideas clearly and by using words and sentence structures efficiently.
Synthesise information from a variety of sources (e.g., academic, business, scientific) and modalities (verbal, visual) to form a communication plan.
Make a convincing argument by structuring your ideas coherently and persuasively, and use visual aids and digital technology effectively to engage the audience.
Apply effective communication skills to explain data science problems to key stakeholders.
Design technically feasible data science solutions with consideration of ethical and legal aspects, and identify appropriate data science technique (techniques) to a practical problem.
Apply project design and scoping techniques to write a detailed project proposal suitable for professionals and stakeholders.

DATA7902

After successfully completing this course you should be able to:

Synthesise information from a variety of sources to develop informed solutions.
Implement a data science approach to solving a problem within a given application context.
Apply, optimise and evaluate appropriate data science techniques to a practical problem, taking into account ethical and legal aspects.
Present project outcomes in a coherent manner with compelling arguments and appropriate use of visual aids and digital technology.
Write a technical project report that clearly describes the problem, motivation, methodology and findings, with justifications where necessary.

Graduate Attributes

The UQ Graduate Attributes provide a holistic representation of desirable characteristics in UQ graduates. Each program at UQ will be designed to develop the Graduate Attributes alongside specific disciplines and professional outcomes.

The UQ Graduate Attributes include: