Course details

CRICOS course code: 106245J

Level of study: Undergraduate


The Bachelor of Data Analytics provides you with valuable knowledge in data analytic lifecycles and applying key industry tools.

Get ready for an exciting career in areas including smart technologies applications, such as the Internet of Things, smart homes, robotics and deep learning. You’ll develop practical skills and methodologies to think differently.

As smart technologies evolve, they create massive volumes of data. Managing, interpreting, storing and securing this data is a challenge to existing technologies. We expect there to be a growing demand for dedicated data analytics organisations and experts to service them. As a graduate of the Bachelor of Data Analytics you’ll have the foundations needed to thrive as the industry grows.

Specialised electives will prepare you for a career in emerging industries including smart technologies and advanced artificial intelligence. You’ll be ideally placed to drive business innovation.

In addition, you’ll learn theories and practices in deep learning, neural networks and advanced smart algorithms. This course will expose you to machine learning tools and technologies that you can apply to investigate real world data problems.

Additional specialisations and majors may be offered in the future.

These include:

Advanced automation and robotics
Machine-to-machine and human-to-machine communication
Artificial intelligence and machine learning
Sensor technology and data analytics


A career in data analytics will give you great job prospects.

Roles include:

Data Architect
Data Analyst
Data Scientist
Fraud Analyst
Corporate Strategy Analyst
Business (Intelligence) Analyst
IT Systems Analyst
Social Media Data Analyst
Operations Analyst
Marketing Analyst
Applications Architect
Enterprise Architect


Bachelor of Data Analytics students will achieve the following course learning outcomes:

Demonstrate a coherent understanding of fundamental theories and practices in computing technologies, and possess the ability to apply skills and knowledge of a selected computing discipline to solve contemporary real‐world problems.
Design, develop and evaluate computing solutions in contemporary industry applications using available tools, technologies, and methodologies, with demonstrated understanding of business practices, ethics, and technological landscapes.
Plan and deploy computing solutions for industry problems with demonstrated knowledge of industry best practice and business acumen.
Investigate and recommend innovative computing solutions to complex industry problems, with the demonstrated ability to independently learn and critically analyse.
Collaboratively lead a team of professionals to achieve synergetic goals and to effectively communicate processes and results to management and technical audiences.

With additional course learning outcomes specific to the Data Analytics discipline:

Identify and evaluate solutions to data analytics problems based on business requirements and to design and develop effective data analytics applications using available specialist tools and technologies.
Plan and deploy data analytics solutions for complex industry problems with demonstrated skills and knowledge of data analytics tools, methodologies and data science lifecycles.
Investigate and evaluate the performance of data analytics systems in consideration of the business context and industry best practices and to recommend appropriate solutions.

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Tuition Fees (AUD $) Start date Duration Campus
22,173 Per Year
Read more11,086.50 per trimester
14 Nov 2022 3 years
Read more3 Years (6 Trimesters)

Full time
Melbourne Institute of Technology
Melbourne Campus
288 La Trobe Street
Melbourne Victoria 3000

Entry criteria

Successful completion of Australian Year 12 or equivalent.

Applicants must be 18 years of age at the commencement date of their chosen course.

English Language Requirement:

IELTS (Academic) - Overall score 6.0 (no band less than 5.5); TOEFL iBT - Overall score 60-78 with minimum scores: Reading 12, Listening 11, Speaking 17, Writing 20; PTE Academic - Overall score 50 with (no score less than 46); Cambridge CAE - Overall 169 (no band less than 162).


Melbourne Institute of Technology
Melbourne Campus
288 La Trobe Street
Melbourne Victoria 3000
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