Postgraduate Coursework
Master of Information Technology (Information Systems and Data Science)
2020
Didn't study in Australia? Switch to international student information
Studied in Australia? Switch to domestic student information
External: this course is available online through distance education with some on-campus attendance requirements.
The Master of Information Technology (Information Systems and Data Science) complements your current information systems, information technology and computer science degree.
The course focuses on information systems and data science and its effects in the modern world. You will explore the impacts of information systems and data science in the course and project work. Your studies will combine theory with practical activities giving you the opportunity to network with industry leaders.
Course fees
Non-Commonwealth supported places
Full fee paying places are available in this course.
2019 and 2020: Information about fees and charges can be found at Fees and Payments.
International tuition fees
The annual tuition fee for full time study of 80 credit points (1.0 EFTSL) for commencing students in 2020 is AUD $29,616.00.
These fees are subject to annual increases each year of your study, effective at the start of each calendar year.
You can find a list of International fees and payments you can expect to pay as part of your studies in Australia.
CDU offers a number of scholarships to international students to assist with the cost of study.
Career opportunities
Graduating from this course may lead to a career as a business analyst, data scientist, data analyst, data manager and data engineer.
Professional recognition
The Master of Information Technology (Information Systems and Data Science) is accredited by Australia Computer Society at the level of professional practice in ICT and therefore recognised internationally under the Seoul Accord.
Credit transfers & pathways
Pathways for Higher Education to Higher Education
For information about credit transfer available to students with complete or incomplete study at this or other Institutions refer to Pathways for Higher Education to Higher Education
For further information on credit transfer and how to apply visit ASK CDU
International applications
English Language Requirements for International Students
For detail on English Language Entry Requirements please read the entry requirements provided for International students.
How to Apply
International applicants apply directly to CDU and should refer to the information provided for International future students Apply.
-
This course is accredited by the University in accordance with the Higher Education Standards.
-
Australian qualification framework
This course is recognised in the Australian Qualifications Framework at Level 9.
Contact details
For further information about the course, enrolment procedures, closing dates and other administrative issues please contact Student Central on:
Course structure
The course consists of core units, thesis research units and elective units. The core units of this program will teach you advanced information technology concepts. Research units will allow you to complete an individual research thesis in a chosen area under the guidance of an academic supervisor. The thesis can be carried out within a university, industry or government setting.
Elective units will allow you to study complimentary courses or explore other areas of interests.
The course stresses both the importance of theory and the application of theory in practice through projects and practical exercises.
You can study the Master of Information Technology (Information Systems and Data Science) online or on campus. Access to the internet is required for distance learning, with access to high speed broadband highly recommended.
A candidate must successfully complete units totalling 160 credit points (cp) as detailed below. All units are valued at 10 credit points unless indicated.
| Unit type | Credit Points | Specific requirements |
| Core Units (11 units) |
120cp | Compulsory Core units totalling 120 credit points as detailed below.
HIT137 Software Now |
| Research Units (2 units) |
40cp | Research units totalling 40 credit points as detailed below.
PRT820 Master Thesis (20cp) (repeatable) x 2 |
| 160cp | Total Credit Points |
Students who commenced in or after 2013
The grade of "PC" cannot be counted towards a Masters Degree by Coursework AQF Level 9 course award.
Students should refer to the current Grading Policy and Common Course Rules for further information.
Study plan
Students commencing in Semester 1
The Recommended Study Plan provided below is suitable for a student commencing in semester 1 and enrolling in a standard load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.
| Legend: | CO = Core Unit | R = Research |
| Semester 1 | Semester 2 | ||
| Year 1 | |||
| PRT581 Principles of Software Systems | CO | HIT137 Software Now | CO |
| PRT551 Project Management Risk and Reliability | CO | STA101 Statistics 1 | CO |
| HIT234 Database Concepts | CO | PRT563 Advanced Data Management | CO |
| HIT363 Enterprise IT Management | CO | PRT541 Information Systems Management | CO |
| Year 2 | |||
| PRT564 Data Analytics and Visualisation | CO | PRT547 Information Systems Practice | CO |
| PRT571 Asset Security and Risk Management | CO | PRT820 Master Thesis (20cp) (repeatable) | R |
| PRT820 Master Thesis (20cp) (repeatable) | R | ||
Students commencing in Semester 2
The Recommended Study Plan provided below is suitable for a student commencing in semester 2 and enrolling in a standard load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.
| Legend: | CO = Core Unit | R = Research |
| Semester 1 | Semester 2 | ||
| Year 1 | |||
| HIT137 Software Now | CO | ||
| STA101 Statistics 1 | CO | ||
| PRT563 Advanced Data Management | CO | ||
| PRT541 Information Systems Management | CO | ||
| Year 2 | |||
| PRT581 Principles of Software Systems | CO | PRT547 Information Systems Practice | CO |
| PRT551 Project Management Risk and Reliability | CO | PRT820 Master Thesis (20cp) (repeatable) | R |
| HIT234 Database Concepts | CO | ||
| HIT363 Enterprise IT Management | CO | ||
| Year 3 | |||
| PRT564 Data Analytics and Visualisation | CO | ||
| PRT571 Asset Security and Risk Management | CO | ||
| PRT820 Master Thesis (20cp) (repeatable) | R | ||