Bachelor of Data Science

VU course code: | Level of study:

Fees

Fee type for this course: Full fee

Location

Applications closed

Overview

Propel yourself towards success with a career that perfectly aligns to industry demand. Learn how to identify, organise and analyse big data with Victoria University's Bachelor of Data Science.

In this data science degree, you'll learn to use specialised computational and statistical techniques to analyse big data and generate insights to tackle complex problems. These are pivotal skills for the 21st century, designed to meet the strong demand for data science professionals.

With industry-focused practices, real-world datasets, and hands-on tools, you will develop an in-depth understanding of deep learning, data management, data mining, and decision making. Throughout your study, you will learn how to wrangle, analyse, visualise, predict, and find insights into data to solve a host of real-world problems.

You will gain targeted expertise in:

machine learning
deep learning
big data management
data mining
exploratory, predictive and prescriptive data analysis
data visualisation
business-oriented data analytics
cyber security-oriented data analytics
web, cloud and mobile application development.

The Bachelor of Data Science is provisionally accredited at a professional level by the Australian Computer Society.

Victoria University degrees are internationally recognised and help you find a satisfying career within and outside Australia.

: Our Bachelor of Data Science fosters a culture of practical experience through summer internships and final-year projects.
Summer internships
Each year, 50 students within the IT program will be offered paid summer internships, in collaboration with the Victorian Chamber of Commerce and Industries (VCCI) and SMEs.
The program has also established fractional FTE opportunities across various industry partners, such as Western Health (WH), VU ITS, and Her Creation Squad, among others.
Each internship is guided by a supervisor from the IT program and a mentor from the industry, ensuring a seamless and professional learning experience through these placements.
Final-year projects
Students leverage their data analysis and data management skills to devise real-world solutions through a final year applied Project units NEF3001 and NEF3002.
These units address industry-based learning of professional practices, on-campus WIL, and case studies.
Most projects are sourced from industry partners who play the role of clients, while supervisors assume the role of project managers. Recent industry partners for these projects include:
Maribyrnong City Council (MCC)
Her Creation Squad
You Pack Logistics
Damaska Digital Australia
Curu
Raedan AI Pty Ltd.
: VU provides a balance of theory and practical work to give you the skills to fast-track your career.
Our industry-focused curriculum prepares you with expertise in using theories, tools, and numerous marketable technologies, such as:
mathematic and statistic fundamentals for data science
database system management
data science fundamental
big data management
data visualization
predictive analysis
machine learning and data mining
advanced data science, with a focus on text processing, computer vision, speech processing, time series, forecasting, anomaly detection, etc
IT profession and ethics in data science
project management in data science
data analytics for cyber security
data analytics for business
business system development
web/mobile/cloud application development.
As part of your study, you will learn about and engage with:
industry case studies and data sets
industry software applications and tools
assessment tasks
industry-based projects
industry-specific internships.
Our Industry Advisory Committee ia comprised of employers and industry professionals with data science expertise. The committee contributes to the development and continuous enhancement of this degree, ensuring the program evolves alongside industry trends.
While you are studying, you will have opportunities to engage with industry guest speakers and leading data science researchers as part of:
Work-Integrated Learning (WIL) courses
seminars
marketing events
industry awards
scholarship opportunities.
: In addition to our undergraduate and postgraduate courses, we also have strong partnerships with leading companies in the industry. These include but not limited to AWS, Cisco, Microsoft and Oracle.
Victoria University is an academy for a multitude of certification courses from these leading industries. This means, as our students, you will have the opportunity to study certification courses taught by seasoned lecturers and research academics within the IT discipline with discounted certification examination fees.
For more details, please visit the following links and contact your course chair.
Amazon - AWS Training & Certification
Cisco - Cisco Networking Academy
Microsoft - Microsoft Education
Oracle - Oracle Academy
: We support women and diversity groups in data science. We are proud to be part of the following groups:
Stanford University Women in Data Science Networking
R Ladies network
CPA Australia Business Analytics.

Entry requirements

When assessing your application, we consider your educational achievements and work experience, as well as your skills and personal attributes (where relevant).

Applicants for this course will need to meet the entry criteria outlined below. If you don’t meet the entry criteria, you may be able to gain entry by first completing a related course or unit(s). We call this a ‘pathway’.

You may also be eligible for course ‘credits’, where you are granted a unit or units towards your qualification for equivalent previous study or work experience, so you can graduate sooner.

Entry criteria

Credit & Entry pathways into this course

Victoria University is committed to providing a transparent admissions process. Find out more about how to apply for our courses, and our commitment to admissions transparency. Meeting the minimum admission criteria does not guarantee entry into this course. Past academic performance may be considered.

Course structure

After you are accepted into your course, you will need to enrol in your course units.

During enrolment, use your course delivery plan to understand the structure and requirements of your course.

Fees & scholarships

Commonwealth supported place

A Commonwealth Supported Place (CSP) is subsidised by the government, reducing it to the amount listed here. Australian citizens, permanent residents and New Zealand citizens will qualify for a CSP place. If your course is not Commonwealth supported, or you don't qualify, you'll pay full fees.

Learn more about Commonwealth Supported Places

Fees

Scholarships

Careers

The Bachelor of Data Science at VU can help you launch a career perfectly aligned to industry demand.

Potential roles include:

data analyst
data scientist
data analysis specialist
data engineer
data consultant
data systems developer
information security analyst
data visualisation specialist
reporting analyst
AI scientist
AI engineer
business intelligence (BI) analyst
Business intelligence specialist
market intelligence manager
data warehouse architect
statistician
mobile/web/cloud software developer.

: Graduates can be employed across a broad range of professional sectors, such as:
government
banking
finance
marketing
retail
healthcare
biomedical and biotechnology
manufacturing
defence
telecommunications
research.
: With the exponential growth of data in virtually every industry, demand for professionals who can harness the power of data for strategic decision-making and innovation has skyrocketed.
Myriad career opportunities span many industries, from start-ups to established corporations, including Oracle, Meta, Woolworths, Coles, Western Health, Airbnb, etc.
Data scientist was the #7 top emerging job of 2020 (LinkedIn 2020 Emerging Jobs Report).
Data scientists have been identified as being in high demand in Australia as reported by the World Economic Forum’s The Future of Jobs Report 2020.
According to the National Skills Commission 2021, these jobs are projected to grow between 11% and 12.9% over the next five years.
As reported by the EMSI Burning Glass Labour Insight, 60% of advertised related salaries in the year to May 2022 were above $100,000.