Bachelor of Data Science

On successful completion of this course, students will be able to:

1. Understand and apply a broad and coherent body of data science in a wide range of applications from the following areas: data modelling, data exploration, machine learning, data visualisation, business analytics, predictive analytics, data analytics for cybersecurity, IT profession and ethics, text mining and NLP;
2. Analyse and adapt the latest data science technologies with intellectual independence, self- learning capabilities and creativity to identify and solve real-world problems with sound decisions and judgement in a broad range of sectors including ICT, government, banking and finance, retail, education, health, social network and marketing;
3. Exhibit a range of technical, analytical, managerial, leadership and interpersonal skills; in depth understanding to the codes of ethics and conducts of data science professions; and
4. Exhibit a capacity to undertake IT design and development practice in an independent or collaborative environment with a strong industry focus; and the responsibility and accountability as a lifelong learner for their own learning and professional practice.

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.