Overview
The Data Science programme from Monash University offers a comprehensive curriculum addressing theoretical and practical aspects, including statistical machine learning, exploratory analysis, data formats and types, structured and semi-structured data processing, and their impact on organizations and society. Turn information into innovation for a better future!
Learning Outcomes
- analyse the lifecycle of data through an organisation.
- apply the major theories in the field of data analysis and data exploration to some characteristic problems.
- plan, manage and execute a data science project individually and collaboratively on a new application area using knowledge of the data lifecycle and analysis process.
- investigate, analyse, document and communicate the core issues and requirements in developing data analysis capability in a global organisation.
- demonstrate an understanding of data science to a level of depth and sophistication consistent with senior professional practice.
- review, synthesise, apply and evaluate contemporary data science theories through independent research and a research thesis, or by utilising research methods for scholarly or professional purposes.
- document and communicate ethical and legal issues and norms in privacy and security, and other areas of community impact with regards to the practice of data science.
Programme Structure
Courses include:
- Project management
- IT research methods
- Data exploration and visualisation
- Data wrangling
- Statistical data modelling
- Data processing for big data
Key information
Duration
- Full-time
- 24 months
- Part-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
- StartingApply anytime.
Semester1As an international student, apply for a place anytime throughout the year Mid-year: Application dates vary by faculty but generally close in mid-June
Language
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Credits
Delivered
Campus Location
- Serpong, Indonesia
Disciplines
Data Science & Big DataWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- An international bachelor degree, not necessarily in IT, with at least a 60% average.
- Equivalent qualification approved by the faculty.
- An international bachelor degree in a cognate discipline relating to IT.
- A business, engineering or science degree with an IT major including programming, databases, and mathematics, with at least a 60% average.
- Equivalent qualification approved by the faculty.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Monash University and/or in Indonesia, please visit Student Insurance Portal.
Tuition Fees
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Domestic Applies to you
Applies to youCitizens or residents224000000 IDR / year≈ 224000000 IDR / year
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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