Queensland University of Technology
Bachelor of Data Science
Nationally Recognised Higher EducationAcross the world, we are collecting unprecedented amounts of data. It’s the new currency. However, simply having access to that data means very little if we’re not able to derive meaningful insights from it. We need skilled data scientists to understand and interpret the data; create and communicate meaningful insights; and use the data ethically and understand its limitations.
A significant and accelerating challenge for modern business is managing fast incoming, voluminous and varied data that are increasingly being relied on to make decisions. This course includes an entire unit addressing the emerging frameworks in modern data management.
Outside the business world, data science is increasingly at the core of new scientific and technological breakthroughs. The structure of our data science course recognises the rapidly developing importance of data-driven discovery in science and technology by providing options to minor in complementary studies like Computational and Simulation Science, which will equip you to operate at the forefront of this field.
Data scientist, as a career, has grown by 492 per cent from 2015 to 2019 (Burning Glass Technologies, National Skills Commission Analysis, 2020). It is widely acknowledged as one of the most desirable careers, not just in Australia, but globally.
Delivery mode
Queensland University of Technology offers this course through the following delivery modes:
Blended
Combine the flexibility of online learning with the support of on campus learning.
Locations
- 2 George St, Brisbane City
Entry requirements
Domestic Students
- There are no mandated entry requirements.
Before you start this course, we assume you have sound knowledge of the subject/s listed below. If you don't have the subject knowledge, you can still apply for the course but we strongly encourage you to undertake bridging studies to gain the knowledge:
- English, or Literature, or English and Literature Extension, or English as an Additional Language (Units 3 & 4, C)
- Mathematical Methods, or Specialist Mathematics (Units 3 & 4, C)
Before you start this course, we assume you have sound knowledge of the subject/s listed below. If you don't have the subject knowledge, you can still apply for the course but we strongly encourage you to undertake bridging studies to gain the knowledge:
- English, or Literature, or English and Literature Extension, or English as an Additional Language (Units 3 & 4, C)
- Mathematical Methods, or Specialist Mathematics (Units 3 & 4, C)
Minimum English language requirements
We accept English language proficiency scores from the following tests. Tests must be taken no more than 2 years prior to the QUT course commencement.
- PTE Academic/PTE Academic Online: Overall [58]; No component lower than 50
- Cambridge English Score: Overall [176]; No component lower than 169
- IELTS Academic / IELTS Online / IELTS One Skills Retake: Overall [6.5]; No component lower than 6.0
- TOEFL iBT / Home / Paper: Overall [79]; Listening [16]; Reading [16]; Writing [21]; Speaking [18]
Course fees
$21,600
$110,400
Career opportunities
The Bachelor of Data Science will prepare you for the following roles.
Business Analyst
A Business Analyst examines systems and processes within an organisation and comes up with solutions to improve business performance. You might ana...
Business Intelligence Developer
A Business Intelligence Developer creates systems and programs to help businesses become more efficient. You’ll analyse current practices and devel...
Data Analyst
A Data Analyst interprets information and uses it to improve the way a company does business. You’ll use various methods to collect information and...
Data Engineer
Data Engineers work with big data, helping organisations store and access their operating data more efficiently. They liaise closely with senior ex...
Data Scientist
A Data Scientist looks for trends in data to provide information that guides organisational decisions. You might work for a retail business to prov...
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning models and algorithms to solve complex problems. You might work in technology ...
Data Strategist
A Data Strategist is responsible for developing and implementing data-driven strategies that enhance organisational performance and decision-making...
Predictive Modeller
A Predictive Modeller analyses data to forecast trends and outcomes that support decision-making processes in various industries. You might work in...
AI Engineer
An AI Engineer designs and develops artificial intelligence systems to solve complex problems and improve business processes. You might work in tec...
Big Data Engineer
A Big Data Engineer is responsible for designing and implementing robust data processing systems that facilitate the handling and analysis of large...
About Queensland University of Technology
Queensland University of Technology (QUT) is an ambitious institution, with a growing research output focused on technology and innovation. QUT ranks in the world’s top 200 universities.
Our strategic plan establishes QUT as 'the university for the real world' and charts our provision of transformative education and research that is relevant to our communities.
With more than 50,000 students across two inner-city campuses in Brisbane, QUT offers academic programs in fields spanning business, creative industries, education, engineering, health, law, science, and social justice across five faculties.
