I have been accepted into Master of Data Science (Monash) and Master of Analytics(RMIT).
Background:
I did BA and BSc, have some experience in data analysis but have zero knowledge about computer science.
Master of Data Science (Monash)
Pros:
- I did undergraduate at Monash, so there is the sense of familiarity
- I think the classes run during the day
- "prestige university—now before everyone jumps in telling me there is no such thing as a "prestige university" or employers won't bat an eye on what uni you went to, having to spend 4 years at Monash while constantly hearing my sibling who is at RMIT complaining about her lecturers, the facility etc, I am grateful for what Monash was able to offer their students.
Cons:
- An extra train ride for me, which equates to 20 mins longer each way
- It costs 9k more
Master of Analytics (RMIT)
Pros:
- More technical school, so maybe it would be able to hook me up with placements, work experience etc?
- 9k cheaper
- Closer to home
- They clearly defined the career pathways
- Parents would like me to go to RMIT since it's closer to home
Con:
- Classes are in the evening, only two hours (hence more self-study)
- Worry about its teaching standard
TLDR;
Monash VS RMIT
Follow my instinct and pay 9k extra vs do what is cheap and convenient.
PS: The last time I followed my instinct I ended up with a 26k debt, two useless degrees and three majors that nearly killed me in the process of obtaining them.
Before you go spending 9k on either, consider taking a short self-directed online course on R (the statistical programming language). I assume you had to do some stats in the BSc, so this would be a good starting place to work out if this would be a good fit. Some examples: datacamp some free intros, or swirl is completely free, there's heaps of others
Also be aware that the "teaching standard" at any university will vary wildly between departments. History may be great but Languages terrible, Statistics fine but Psychology lacking. You need to find someone who did subjects with the same department (school, or whatever they call it at that uni) to know if the teaching will be up to scratch.