Bachelor of Data Science

RMIT University

Australia, Melbourne

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RMIT University

Australia , Melbourne

Key Facts

Program Level

Bachelor

Study Type

Full Time

Delivery

On Campus

Course Code

110801G

Application Fee

AUD 100

Campuses

Melbourne City

Program Language

English

Start & Deadlines

Next Intake DeadlinesJuly-2025

Apply to this program

Go to the official application for the university

Duration 3 year(s)

Tuition Fee

AUD 40,320 / year

Next Intake July-2025

Bachelor of Data Science

About

Build in-demand skills, choose your area of study and follow your passion in the emerging and expansive field of data science.

RMIT's Bachelor of Data Science will develop skills in data analytics, statistics, computer science, machine learning, programming, mathematics, and data wrangling that will enable you to be central to business decision-making, corporate strategy and government planning.

You will gain strong problem-solving skills, and learn how to effectively communicate your work to technical and non-technical audiences, work independently or as a team, and factor in relevant standards, ethical and legal considerations to your projects.

Using cutting-edge technologies, you will learn how to analyse and manage large amounts of data from various sources and evaluate their insights and solutions. You will gain hands-on experience using Python and R programming languages.

Personalise your degree to suit your career aspirations, selecting from a wide range of majors and minors. Major in advanced data science, cyber security or enterprise systems. Specialise in AI, data analysis, cloud computing, mixed reality, software development and blockchain.

Gain industry experience and connections while you study through work integrated learning experiences. Opportunities include capstone projects, case studies and programming studios.

Why study data science at RMIT?

Learn from industry leaders

Engage with leading academics, teachers, guest lecturers and subject matter experts with strong industry connections.

Enhance employability

Gain in-demand skills and experience through work integrated learning opportunities, capstone projects, and programming bootcamps and studios.

Hone your skills

Develop your ability to analyse and manage big data from various sources, evaluating their insights and solutions.

Requirements

Entry Requirements

You must have successfully completed a qualification recognised by RMIT as equivalent to the Victorian Certificate of Education (VCE) with a minimum average of 65% (see calculator below).

Equivalent qualifications may also include completion of the RMIT Foundation Studies program or a recognised post secondary diploma in the relevant discipline with the required grades.

Meeting the minimum academic requirements does not guarantee entry. Your application will still need to be assessed and accepted.

Entry score calculator

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English Program Requirements

To study this course you will need to complete one of the following English proficiency tests:

IELTS (Academic): minimum overall band of 6.5 (with no individual band below 6.0)
TOEFL (Internet Based Test - IBT): minimum overall score of 79 (with minimum of 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing)
Pearson Test of English (Academic) (PTE (A)): minimum score of 58 (with no communication band less than 50)
Cambridge English: Advanced (CAE): minimum of 176 with no less than 169 in any component.

For detailed information on English language requirements and other proficiency tests recognised by RMIT, visit English language requirements and equivalency information.

Don't meet the English language test scores? Complete an English for Academic Purposes (EAP) Advanced Plus at RMIT University Pathways (RMIT UP).

Career

Data scientists are some of the most highly sought after and highly paid professionals in the world.

As a graduate of this data science degree, you will have the theoretical and practical knowledge needed to pursue an interesting and flexible data science career in a range of data-driven industries and organisations.

Jobs in this in-demand field are vast and may include:

Analytics specialist
Business intelligence developer
Data analyst
Data architect
Data engineer
Data miner
Data scientist
Machine learning engineer
Programmer
Research data scientist
Web analyst.

You may also choose to pursue further study with the Master of Data Science, Master of Analytics or Masters of Statistics and Operations Research for higher-level training in data science or related fields.

Fee Information

Tuition Fee

AUD 40,320

Application Fee

AUD 100

How to Apply

Step 1: Find a course

Step 2: Check the entry requirements

Step 3: Collect required documents

Step 4: Submit your application

If you are applying for on-campus study in a coursework program (Bachelor, Associate Degree or Honours), use the online application system for international students.

Remember, our team are experts in RMIT study options and how to apply, so contact the team if you need support with your application.