Graduate Certificate in Data Science
Royal Melbourne Institute of Technology
About
The Graduate Certificate in Data Science program is designed for graduates of computing, science, engineering or health bachelors programs with or without industry experience who want to become data scientists.
It will prepare you for a career in data science, an emerging area driving economic growth, public policy and corporate strategy through management of very large collections of data to derive insights that ultimately benefit society.
Job titles for data scientists in this new field are very diverse, for example:
analytics specialist, business intelligence analyst, business intelligence developer, data analyst, data architect, data engineer, data miner, data scientist, web analyst.This program is delivered on-campus and requires in person attendance.
Structure
Year One of Program
Complete the following Four (4) Courses:
Course Title | Credit Points | Course Code | Campus |
---|---|---|---|
Practical Data Science with Python | 12 | COSC2670 | City Campus |
Applied Analytics | 12 | MATH1324 | City Campus |
Data Wrangling | 12 | MATH2349 | City Campus |
Data Visualisation and Communication | 12 | MATH2270 | City Campus |
Entry requirements
Program Entry Requirements:
An Australian Bachelor degree (AQF 7) or equivalent from a recognised tertiary institution
OR
No formal qualification but a minimum of 5 years Full Time Equivalent (FTE) work experience in any industry setting
Learning outcomes
PLO 1: Enabling Knowledge
- Understand and use appropriate and relevant, fundamental and applied mathematical and statistical knowledge and methodologies and modern processes and analytical tools.
PLO 2: Critical Analysis
- Bring together and flexibly apply knowledge to characterise, analyse and solve a range of data science problems.
PLO 3: Problem Solving
- Select and justify relevant approaches to analyse data problems and/or identify opportunities.
PLO 4: Communication
- Communicate data interpretations and findings using visualisation and other appropriate tools to inform decision makers
PLO 5: Responsibility
- Critically reflect on their own practice to support their continual professional development and become life long learners.
Institution
