Master of Data Science (C6004)
Congratulations on your offer and welcome to Monash IT!
This page is designed to help you choose what you are going to study in your Master of Data Science. It will help you make a decision about what units you will enrol in, because enrolling in units is how you formally accept your offer.
|Course title||Master of Data Science|
|Credit points||Entry level 1 = 96 credit points|
Entry level 2 = 72 credit points
|Course duration||Entry level 1 = 2 years full time |
Entry level 2 = 1.5 years full time
|Time limit||Entry level 1 = 6 years |
Entry level 2 = 5 years
Units (also known as subjects or courses at other institutions) are the basic component in which you will enrol to undertake study in your degree. Typically, each 6-points requires an average total study workload (including classes, assigned work and private study) of 12 hours per week for 12 weeks, or 144 hours in total.
Units have a code and a title:
e.g. FIT9132 Introduction to databases
Foundation units are denoted by a ‘9’ as the first digit and core, elective and capstone units are denoted by a ‘5’ as the first digit.
Over your whole degree, you are required to complete:
Entry level 1 - 24 points of level-9 units and 72 points level-5 units.
Entry level 2 - 72 points level-5 units.
Credit points - All units are worth 6 credit points except for FIT5120 Industry experience studio project which is worth 12 credit points.
Master of Data Science - 16 units x 6 credit points = Total of 96 credit points (minor thesis option) OR 14 units x 6 credit points + 1 unit x 12 credit points = Total of 96 credit points (industry experience option).
Unit requisites - Previous study or other criteria required to gain admission into a particular unit is known as a pre-requisite. Co-requisites units must either be completed previously or may be taken concurrently in the same semester. All pre-requisite and co-requisite requirements must be undertaken in order to be able to enrol into a specific unit. You can check this information in the handbook.
Each course has specific requirements that you must satisfy in order to graduate. Your course map clearly outlines the requirements of your degree and the order in which you should complete these requirements (refer to the map for the year you commenced your course).
The Master of Data Science course structure is:
Entry level 1
- Foundation units (24 credit points):
Entry level 2
- Core master's study (48 credit points):
- five core units
- three Data Science units from an approved list
- Advanced practice (24 credit points)
- Capstone project units: You can choose to complete either the Minor Thesis Research option or the Industry Experience option.
Before enrolling, we recommend that you spend some time reading about the unit content, unit prerequisites and plan your semesters of offering. This will allow you to plan your course progression and ensure that you are able to enrol in the units that best suit your requirements.
Your degree consists of four foundation units and five core (compulsory) units covering a range of Data Science areas including data wrangling, statistical data modelling, data exploration and visualisation, and IT research methods.
We recommend that you complete your foundation and core units early in your degree. This will assist with your course progression as many further units require the foundation units are completed first.
If you are commencing your studies at the beginning of the year (February/March) you need to enrol in units for both semester 1 and 2.
If you are commencing your studies mid-year (July) you need to enrol in units for semester 2 only.
DOMESTIC STUDENTS: As a full-time domestic student, you can choose eight units per year - four in each semester or six units per year - three in each semester. (If you plan to take longer than three years to complete your course, you can enrol in fewer units ie. part-time study.)
INTERNATIONAL STUDENTS (on a student visa): You must enrol in four units per semester.
Course maps outline the recommended progression for each semester. Each map is a framework that shows foundation units, core units, elective units and capstone units. Make sure that you check the course map relevant to the year that you start your degree.
Data Science – Entry level 1 - foundation units course map
Introduction to databases
Algorithms and programming foundations in Python
Introduction to computer architecture and networks
Mathematical foundations for data science and AI
Introduction to data science
Data exploration and visualisation
Statistical data modelling
Data Science – Entry level 2 - core units course map
Introduction to data science
Data exploration and visualisation
Statistical data modelling
IT research methods
|Data Science core unit||Data Science core unit||Data Science core unit|
Note: Students commencing studies in a non-standard semester, refer to the maps in the "Quick Facts" at the top of the page.
Credit versus Exemptions
If you have completed academic study at a university level which you believe is equivalent to any units in your degree, you can apply for either credit or exemptions. If you receive credit, you will be awarded credit points and you will not be required to complete these units. If instead, you are granted exemptions, you will not receive credit points and you will be required to replace these units with alternative units. Some students prefer the option of credit as this can allow for a shorter course duration. Other students prefer to have their previous knowledge recognised by receiving exemptions and completing other units in their place. For either option, you are required to complete a credit application.
If you applied for credit as part of the course application your credit has already been processed. The units you need to enrol in are listed on your course map. Refer to your course map and mark the units you have been granted credit for. Using your course map as a guide you should then enrol in four units (24 credit points) for Semester 1 and four units (24 credit points) for Semester 2. Remember to pay attention to the pre-requisite and co-requisite units listed on your course map.
What if I haven’t applied for credit and I want to?
Don’t worry, you can still apply for credit, for completed university level units, if you haven’t already done so. You can also search online for previous credit decisions to give you an idea of what you may be granted. You don’t need to provide your results or syllabi for any Monash units you have already completed (we have these already). And, if you have already provided your academic transcripts online as part of the application process you do not need to provide these again (we have them too). We recommend that you submit your credit applications as quickly as possible. This will allow you plenty of time to change your enrolment prior to the start of semester.
If you are seeking credit for level-9 foundation units and have already provided your academic transcripts online as part of the application process you do not need to provide these again. All you need to do is complete a credit application indicating which units you are seeking credit for. You will be notified once your credit has been approved. Until then you should enrol into the foundation units for your first semester. This will ensure that you secure your place in your course. Your enrolment can then be changed when your credit application has been processed.
If you are seeking credit for level-5 units you will need to complete a credit application and provide syllabi for each unit you list on your application. Again, there is no need to provide the academic transcripts you have already provided to us through the course application process or for any Monash units you have already completed. Once your credit has been processed you will be notified. Until then you should enrol into a standard enrolment ie. assuming no credit. This will ensure that you secure your place in your course. Your enrolment can then be changed when your credit application has been processed.
If we do need any further information from you to assist with processing your credit application, we will contact you.
You can find more information regarding the credit process on the IT credit webpage.
The final component of your degree is a ‘capstone’ project. Capstone projects are designed to allow you to demonstrate the skills you have learnt throughout your degree. The focus of these studies is professional or scholarly work that can contribute to a portfolio of professional development.
You have two options:
- a research pathway including a thesis. If you wish to use this master's course as a pathway to a higher degree by research you should take this first option.
- a program of coursework involving advanced study and an industry experience studio project with an industry professional.
Undertaking either of the capstone options requires completion of specific pre-requisite and/or co-requisite units, and, with respect to the standard full year research stream option, you must achieve an overall average of at least 75 per cent across the best four of these units and at least a distinction in FIT5125 IT research methods.
Now that you understand your course structure and how credit works it’s time to enrol on WES.
Orientation is your opportunity to find out more about Monash IT. You will have the opportunity to attend course information sessions, finalise your enrolment, join a student club, attend study workshops to set you up for success and much more. Further information is available on the Orientation website.
Please keep checking your Monash student email account for further information on the Orientation program.