The Graduate Certificate (CADAN), Graduate Diploma (DADAN) and Masters of Applied Data Analytics (MADAN) and Graduate Certificate of Data Engineering (GCDE) are designed to suit working professionals studying data science and data engineering.
Semester or blended intensive learning
To support students at different career stages, we offer most of our data program courses in semester format and blended intensive format courses (aka ‘intensive’). Intensive courses are mostly remote learning with only 1 face-to-face learning week, and provide the same learning outcomes.
Transition into data science
The applied data analytics pathway to Masters trains students from foundational to deep data analytics skills and enables experts from other domains to learn the advanced data skills to become a data scientist in their domain knowledge area. We offer a unique blend of data science, statistics and social science to teach the techniques from each of those fields, and provide advanced electives in each field to allow students to specialise.
The applied data analytics postgraduate programs comprise a set of nested degree programs allowing students to start their data science learning journey with a graduate certificate (24 credit units) or graduate diploma (48 credit units) and progress to the full masters program (72 credit units). Alternately, students in the higher degrees can exit earlier with a graduate certificate or Graduate Diploma as evidence of their new knowledge.
About blended intensive courses
Learning outcomes: blended intensive courses provide the equivalent learning outcomes and workload as the equivalent semester courses allowing either to be used as a pre-requisite for more advanced courses. Students can take a mix of semester and intensive courses, however they can take only one intensive course in each non-semester session to avoid a clash of intensive week studies.
- Format: follows a 4+1+4 blended learning format of:
- 4 weeks online learning
- 1 full time week on campus learning (i.e. 9am-5pm) for labs and lectures in the middle of the course (typically week 5)
- 4 weeks online learning
Take care to not slip behind as there is no mid-semester break in an intensive course.
- Intensive week: the intensive week is when students typically put their learning into practice, often includes guest speakers, and provides a great opportunity for students to meet and work with their peers and share data analytics experiences in different industries. Attendance is required for each day of the mid-course intensive week. Make sure to take leave from other responsibilities and arrange to be in Canberra for the intensive week (see dates in Schedule).
Recommended study patterns
MADAN and other students transferring to MADAN should take care to plan their studies to meet the pre-requisites for their intended electives.
Here some example recommended study patterns.
Students intending to study computing electives are recommended to study STAT6039 Principles of Mathematical Statistics and COMP8410/COMP8910 Data Mining which are pre-requisites for computing electives COMP8600 Statistical Machine Learning and COMP8880 Computational Methods for Network Science
Students intending to study statistics electives are required to study STAT6039 Principles of Mathematical Statistics and STAT6038 Regression Modelling which are pre-requisites for all of the Statistics electives.
Social science electives
Students intending to study the social science electives are recommended to study SOCR8201 and SOCR8202 which are pre-requisites for social science electives SOCR8203 and SOCR8204.
2023 Course schedule
This schedule shows both semester and blended intensive courses of GCDE, CADAN, DADAN and MADAN for the current academic year, including the dates of the intensive week dates for blended courses.
Choosing your courses
Several recommended study patterns will be added soon to aid in planning your studies. MADAN students should choose your elective studies and check their pre-requisites on Programs and Courses to ensure you have the required pre-requisites completed.
- Some courses have new course codes: STAT6014 Introduction to Bayesian Statistics, STAT6026 Graphical Data Analysis, STAT6030 Generalised Linear Modelling, STAT6040 Statistical Learning, COMP8910 Data Mining (intensive version of COMP8410), COMP8930 (intensive version of COMP8410).
- Some intensive week dates are adjusted: The start date of the autumn intensive week is adjusted for public holidays. SOCR8201 intensive week will be in week 6
- STAT6026 Graphical Data Analysis course dates on Programs and Courses are incorrect and will be updated soon - see correct dates below.
Frequently asked questions
Who can enrol in an intensive courses?
The blended courses are specifically designed for students in the postgraduate Applied Data Analytics programs (Graduate Certificate, Graduate Diploma, and Masters), and the Graduate Certificate in Data Engineering, who are typically transitioning into data fields from other professions, or deepening their skills in data professions. Enrolment in these blended courses is limited to students from the ADAN and GCDE programs. Students from other programs are only admitted under special circumstances, by application through their program convenor.
- Do I need a permission code to enrol in an intensive course?
- COMP intensives: For COMP intensive courses, permission codes are only required if you have not met the pre-requisites of the course.
- SOCR and STAT intensives: these still require permission codes.
- How can I get a permission code to enrol in a course?
A permission code to enrol in a CECS course can be obtained by completing an online Permission Code Request Form obtained from the respective school Student admin service to request a code.
- COMP intensives: CECS—Student Enquiries email@example.com
- STAT intensives: CBE—Student Enquiries firstname.lastname@example.org
- SOCR intensives: CASS—Student Enquiries email@example.com
- Can I take more than one intensive course in the same term? No. Attendance is required for each day of the intensive week, consequently to avoid clashing intensive week studies, students can only take 1 intensive in any term.