Master of Applied Data Analytics (MC-APPDA)
Masters (Coursework)Year: 2022 Delivered: Online
About this course
- Entry and participation requirements
- Attributes, outcomes and skills
- Course structure
- Majors, minors and specialisations
Phone: + 61 3 8344 0149
Contact hours: https://unimelb.edu.au/professional-development/contact-us
Further information: https://study.unimelb.edu.au/find/courses/graduate/master-of-applied-data-analytics/
|Award title||Master of Applied Data Analytics|
|Year & campus||2022 — Parkville|
|Fees information||Subject EFTSL, level, discipline and census date|
|Study level & type||Graduate Coursework|
|Credit points||100 credit points|
|Duration||24 months part-time|
The Master of Applied Data Analytics targets professionals from health, psychology, education and built environment disciplines wishing to develop an understanding of how to apply analytics in one of these specialisation areas. The degree will enable students to develop a critical and thorough understanding of applied analytics technology. Students will be equipped to apply key analytics techniques to different scenarios in their professional area and to evaluate and communicate strategic and operational issues around the application of analytics concepts and theories to real-world practice.
Using sophisticated interactive technology, facilitating close rich engagement with world-renowned experts and a diverse network of peers, the course provides students with advanced specialised expertise and skills to tackle the complex challenges raised by the design and application of analytics technologies. All subjects are undertaken online providing students with flexibility in where and when they study. Students will be expected to actively participate in discussions and collaborations with their peers and teachers.
The degree requires completion of six subjects which will cover both core and specialization specific analytics techniques plus a substantial research-based Capstone project where students apply research principles and methods in analytics to a specialisation area. As most students in this course will be full-time professionals, enrolment is currently offered on a part-time basis only, requiring students to complete one subject per eight-week term, over an academic year of four terms. The course will typically be completed over two years part time.
Last updated: 30 March 2023