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 1Sem 2Sem 1Sem 2
DATA7001 Introduction to Data ScienceDATA7002 Responsible Data ScienceDATA7901 Capstone 1DATA7902 Capstone Project 2 (4 units)
CSSE7030 Introduction to Software Engineering*STAT7203 Probability Models & Data AnalysisDATA7201 Data Analytics at ScaleCourse from DECs or BECs
INFS7901 Database PrinciplesMATH7502 Mathematics for Data Science 2DATA7202 Statistical Methods for Data ScienceCourse from DECs or BECs
Course from DECs or BECsINFS3200 Advanced Database SystemsCOMP7703 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 1Sem 2Sem 1Sem 2
DATA7001 Introduction to Data ScienceDATA7002 Responsible Data ScienceDATA7901 Capstone 1DATA7902 Capstone Project 2 (4 units)
MATH7501 Mathematics for Data Science 1*STAT7203 Probability Models & Data AnalysisDATA7202 Statistical methods for Data ScienceCourse from DECs or BECs
Course from DECs or BECsMATH7502 Mathematics for Data Science 2COMP7703 Machine LearningCourse from DECs or BECs
Course from DECs or BECsINFS3200 Advanced Database SystemsDATA7201 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 1Sem 2Sem 1
DATA7001 Introduction to Data ScienceDATA7901 Capstone 1DATA7902 Capstone Project 2 (4 units)
COMP7703 Machine LearningDATA7002 Responsible Data ScienceDATA7201 Data Analytics at Scale
DATA7202 Statistical methods for Data ScienceCourse from DECs or BECsCourse from DECs or BECs
Course from DECs or BECsCourse from DECs or BECs 
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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 2Sem 1Sem 2Sem 1
DATA7001 Introduction to Data ScienceDATA7202 Statistical methods for Data ScienceDATA7901 Capstone 1DATA7902 Capstone Project 2 (4 units)
CSSE7030 Introduction to Software Engineering*COMP7703 Machine LearningDATA7002 Responsible Data ScienceDATA7201 Data Analytics at Scale
STAT7203 Probability Models & Data AnalysisINFS7901 Database Principles*INFS3200 Advanced Database SystemsCourse from DECs or BECs
MATH7502 Mathematics for Data Science 2Course from DECs or BECsCourse 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 2Sem 1Sem 2Sem 1
DATA7001 Introduction to Data ScienceDATA7201 Data Analytics at ScaleDATA7901 Capstone 1DATA7902 Capstone Project 2 (4 units)
INFS3200 Advanced Database SystemsMATH7501Mathematics for Data Science 1*DATA7002 Responsible Data ScienceDATA7202 Statistical methods for Data Science
Course from DECs or BECsCourse from DECs or BECsSTAT7203 Probability Models & Data AnalysisCOMP7703 Machine Learning
Course from DECs or BECsCourse from DECs or BECsMATH7502 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 2Sem 1Sem 2
DATA7001 Introduction to Data ScienceDATA7901 Capstone 1DATA7902 Capstone Project 2 (4 units)
INFS3200 Advanced Database SystemsDATA7201 Data Analytics at ScaleDATA7002 Responsible Data Science
STAT7203 Probability Models & Data AnalysisDATA7202 Statistical methods for Data ScienceCourse from DECs or BECs
Course from DECs or BECsCOMP7703 Machine Learning 
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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:
    • Share your plan link (from Program Planner):
    • Questions for the advisor:

Advising times effective Semester 1, 2022

ProgramAdvisorLocationAvailable
MDataSciDr Rocky ChenVia ZoomWednesday 2:00 - 3:00pm
Contact studentenquiries@itee.uq.edu.au for appointment
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