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Bachelor of Computer Science (Professional) Majoring in Data Science
The Swinburne "Bachelor of Computer Science (Professional)" program, with a focus on Data Science, provides a professional degree...

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Fees

AUD

33,555

/total

*These prices are estimated and may vary.

Duration

Method

Location

image

Intake

Course Level

48

months

on-campus, online
Melbourne
Semester 1,2
undergraduate

How to apply

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Student Visa

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About this program

Work & Study
Student visa holders are permitted to work a maximum of 48 hours per fortnight (24 hours per week) during their studies. However, they have the flexibility to engage in full-time employment during breaks and holiday periods.
Post-Study rights
Bachelor's, master's, and Ph.D. degrees may lead to up to 05 years of post- study full-time work visa (Subclass 485 Temporary Graduate visa - Post-Study Work stream), with variations based on degree type and regional factors.
Intern/Job-Placement
The institution has a specialized department for internships and professional placement, providing crucial support for students by connecting them to opportunities that propel their careers.

The Swinburne “Bachelor of Computer Science (Professional)” program, with a focus on Data Science, provides a professional degree with a 12-month paid work placement. Students gain expertise in software development, computer science, and foundational hardware skills. The curriculum emphasizes state-of-the-art technology, covering statistical methods, big data management, and visualization techniques. Real-world experience is integrated through industry-linked projects and the Work Integrated Learning program

Get to know the top 3 benefits of this program

Practical Learning
The course offers a 12-month paid work placement, providing practical, hands-on experience in a professional setting. This practical exposure enhances the students' readiness for the workforce.
Data Science Expertise
Students gain specialized skills in data science, including statistical methods, big data management, and data visualization. This expertise prepares graduates for roles in high-demand areas like data analysis and machine learning.
Industry Integration
Through industry-linked projects and the Work Integrated Learning program, students engage with real-world challenges, fostering a deep understanding of industry practices. This integration ensures graduates are well-prepared for the demands of the industry.

Meet Swinburne

All you need to know about your Student Visa

Click on link to learn more about the requirements and how we can help you get your Student Visa for this course in Australia.

Entry requirements for University

Qualifications

To qualify for this course, completion of the Victorian Certificate of Education (VCE) or an equivalent qualification is required. Alternatively, candidates can enter based on an approved tertiary qualification. Admission is assured by meeting or exceeding the ATAR Guaranteed Entry Score, with possible consideration for adjustments if the ATAR falls below. Full entry details can be found in the course handbook, using the ATAR as a guideline for eligibility.

Course prerequisites

Prerequisites for the course include a minimum study score of 25 in any non-EAL English (or 30 in English as an Alternate Language) for VCE Units 3 and 4, and the satisfactory completion of two units in any Mathematics or equivalent for VCE Units 1 and 2. These ensure foundational proficiency in English and Mathematics for course participation.

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