Academic advice and sample study plans are available to students enrolled in the Master of Data Science.

In the first instance, we recommend students take the following steps:

1. Familiarise yourself with your program information and suggested study plan provided on this page.

2. Use Program Planner to plan courses for your program and to ensure your plan meets the completion rules and chosen structure (majors, minors, etc).

Once you have reviewed these resources and if you cannot find the answer to your question, you may need to make an appointment to see a school Academic Advisor to help choose your courses and plan the enrolment for your program

Suggested study plans: Semester 1 Commencement

Note: DECs and BECs denote MDataSc Discipline Elective Courses (DECs) and  MDataSc Breadth Elective Courses (BECs), respectively. Students who have existing knowledge relating to courses marked by “*” are encouraged to seek academic advise towards taking DATA7201/DATA7202 in an earlier semester.

The study plans are for reference only, please consult with an academic advisor for more details.

Option 1: 32 Units Program

Students with maths or statistics background in their undergraduates such as calculus, linear algebra, or statistics courses, can follow the plan below.  Note that from Semester 1, 2021 COMP7703 - Machine Learning (offered in Semester 1) can be substituted for DATA7703 - Machine Learning for Data Scientists (offered in Semester 2) - approved by EAIT ADA 

Sem 1 Sem 2 Sem 1 Sem 2
DATA7001 Introduction to Data Science DATA7002 Responsible Data Science DATA7901 Capstone 1 DATA7902 Capstone Project 2 (4 units)
CSSE7030 Introduction to Software Engineering* STAT7203 Probability Models & Data Analysis DATA7201 Data Analytics at Scale Course from DECs or BECs
INFS7901 Database Principles MATH7502 Mathematics for Data Science 2 DATA7202 Statistical Methods for Data Science Course from DECs or BECs
Course from DECs or BECs INFS3200 Advanced Database Systems COMP7703 Machine Learning  

Option 2: 32 Units Program

Students with a computing or IT background in their undergraduate such as programming, algorithms and database courses, can follow the plan below. Note that from Semester 1, 2021 COMP7703 - Machine Learning (offered in Semester 1) can be substituted for DATA7703 - Machine Learning for Data Scientists (offered in Semester 2) - approved by EAIT ADA 

Sem 1 Sem 2 Sem 1 Sem 2
DATA7001 Introduction to Data Science DATA7002 Responsible Data Science DATA7901 Capstone 1 DATA7902 Capstone Project 2 (4 units)
MATH7501 Mathematics for Data Science 1* STAT7203 Probability Models & Data Analysis DATA7202 Statistical methods for Data Science Course from DECs or BECs
Course from DECs or BECs MATH7502 Mathematics for Data Science 2 COMP7703 Machine Learning Course from DECs or BECs
Course from DECs or BECs INFS3200 Advanced Database Systems DATA7201 Data Analytics at Scale  

Option 3: 24 Units Program

Students who have done both computing and maths courses in their undergraduate, can follow the plan below. Note that from Semester 1, 2021 COMP7703 - Machine Learning (offered in Semester 1) can be substituted for DATA7703 - Machine Learning for Data Scientists (offered in Semester 2) - approved by EAIT ADA 

Sem 1 Sem 2 Sem 1
DATA7001 Introduction to Data Science DATA7901 Capstone 1 DATA7902 Capstone Project 2 (4 units)
COMP7703 Machine Learning DATA7002 Responsible Data Science DATA7201 Data Analytics at Scale
DATA7202 Statistical methods for Data Science Course from DECs or BECs Course from DECs or BECs
Course from DECs or BECs Course from DECs or BECs  
Top of page

Suggested study plans: Semester 2 Commencement

Note: DECs and BECs denote MDataSc Discipline Elective Courses (DECs) and  MDataSc Breadth Elective Courses (BECs), respectively. Students who have existing knowledge relating to courses marked by “*” are encouraged to seek academic advise towards taking DATA7201/DATA7202 in an earlier semester.

The study plans are for reference only, please consult with an academic advisor for more details.

Option 1: 32 Units Program

Students with maths or statistics background in their undergraduates such as calculus, linear algebra, or statistics courses, can follow the plan below. Note that from Semester 1, 2021 COMP7703 - Machine Learning (offered in Semester 1) can be substituted for DATA7703 - Machine Learning for Data Scientists (offered in Semester 2) - approved by EAIT ADA 

Sem 2 Sem 1 Sem 2 Sem 1
DATA7001 Introduction to Data Science DATA7202 Statistical methods for Data Science DATA7901 Capstone 1 DATA7902 Capstone Project 2 (4 units)
CSSE7030 Introduction to Software Engineering* COMP7703 Machine Learning DATA7002 Responsible Data Science DATA7201 Data Analytics at Scale
STAT7203 Probability Models & Data Analysis INFS7901 Database Principles* INFS3200 Advanced Database Systems Course from DECs or BECs
MATH7502 Mathematics for Data Science 2 Course from DECs or BECs Course from DECs or BECs  

Option 2: 32 Units Program

Students with a computing or IT background in their undergraduate such as programming, algorithms and database courses, can follow the plan below. Note that from Semester 1, 2021 COMP7703 - Machine Learning (offered in Semester 1) can be substituted for DATA7703 - Machine Learning for Data Scientists (offered in Semester 2) - approved by EAIT ADA 

Sem 2 Sem 1 Sem 2 Sem 1
DATA7001 Introduction to Data Science DATA7201 Data Analytics at Scale DATA7901 Capstone 1 DATA7902 Capstone Project 2 (4 units)
INFS3200 Advanced Database Systems MATH7501Mathematics for Data Science 1* DATA7002 Responsible Data Science DATA7202 Statistical methods for Data Science
Course from DECs or BECs Course from DECs or BECs STAT7203 Probability Models & Data Analysis COMP7703 Machine Learning
Course from DECs or BECs Course from DECs or BECs MATH7502 Mathematics for Data Science 2  

Option 3: 24 Units Program

Students who have done both computing and maths courses in their undergraduate, can follow the plan below. Note that from Semester 1, 2021 COMP7703 - Machine Learning (offered in Semester 1) can be substituted for DATA7703 - Machine Learning for Data Scientists (offered in Semester 2) - approved by EAIT ADA 

Sem 2 Sem 1 Sem 2
DATA7001 Introduction to Data Science DATA7901 Capstone 1 DATA7902 Capstone Project 2 (4 units)
INFS3200 Advanced Database Systems DATA7201 Data Analytics at Scale DATA7002 Responsible Data Science
STAT7203 Probability Models & Data Analysis DATA7202 Statistical methods for Data Science Course from DECs or BECs
Course from DECs or BECs COMP7703 Machine Learning  
Top of page

Making appointments with academic advisors

To make an appointment follow these steps:

  1. Review your recommended study plan for your program and access Program Planner to plan your program. You will need to bring this along to your appointment. If you are seeking advice on course selection, you should also provide a copy of your studies report.
  2. Contact or visit the School Office to book your academic advising appointment. Please include the following information when requesting your appointment:
    • Student ID:
    • Program of study:
    • Year of study:
    • Contact telephone number:
    • Questions for the advisor:
Appointment times

Effective Semester 1, 2022

Program Advisor Location Available
MDataSci Dr Rocky Chen Via Zoom Wednesday 2.00–3.00pm
Contact studentenquiries@itee.uq.edu.au for appointment
Top of page