Course code: #MC-DATASC
These are mandatory and all come with course.
These items are optional and you can choose them as you wish after applying for the course.
| Term start& deadline | Deadline | ||
|---|---|---|---|
| Fall-February 31-October-2022 | 2022-10-31 |
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| Fall-February 31-October-2023 | 2023-10-31 |
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The Harvard Business Review has labelled data science the "sexiest job of the 21st century".
Suppose they meant that jobs in data science are increasing dramatically. In that case, if data scientists can work in fields as diverse as health, retail or ecology and data scientists are commanding high salaries, then they are spot on.
After all, we create more than 2.5 exabytes of data daily. Someone needs to make sense of it all.
You'll enter the Master of Data Science at The University of Melbourne with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline.
You’ll leave the course with a major data science project to feature in your CV. In the capstone project, you’ll apply data science tools to a practical problem, working individually or as part of a team to showcase your skills.
If you’d like to gain more real-world experience, you can choose to complete an internship in a science or technology-related workplace for course credit.
Once you’ve taken care of any prerequisites, you can choose from a diverse list of data science or professional skills electives.
If you’d like to gain experience in a science and technology workplace or with research, you can do an 80–100-hour internship subject or take on an additional research project.
All students undertake a data science capstone project over one academic year, working on a practical data science research question individually or as part of a team.
$69,752
| Cost of living | 1 person | $10,212 |
| Accommodation | 1 bed room | $19,700 |
| Tuition | 1 person | $50,052 |
Qualified postgraduate and undergraduate applicants to the Faculty of Engineering and Information Technology with the following English language results may be eligible for the pathway options:
| Course | Direct Entry | IELTS (Academic) | TOEFL (internet-based test) | Pearson Test of English (Academic) |
|---|---|---|---|---|
| UMELBP Prep (10 weeks) | N/A | 5.5 (no band less than 5.0) | 46 + writing 14; speaking 14; reading 4; listening 5 | 42 with no communicative skill below 36 |
| UMELBP (10 weeks) | Successful completion of UMELBP Prep | 6.0 (no band less than 5.5) | 60 + writing 18; speaking 16; reading 8; listening 7 | 50 with no communicative skill below 42 |
Exclusions
Research students are not eligible for UMELBP.
If you do not have a computer science and/or statistics major, explore the Graduate Diploma in Data Science as a starting point in this field.
When you complete the Graduate Diploma in Data Science with a weighted average mark of above 65 per cent, you may be eligible to move into the Master of Data Science and receive up to 50 points of advanced standing.
This means you can complete the Master of Data Science and the Graduate Diploma in Data Science in just 2.5 years of study.
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