The Bachelor of Computer Science (Professional) includes a mandatory 12-month paid work placement. You'll benefit from Swinburne’s unique industry partnerships, gain invaluable full-time work experience and earn credit towards your degree. The course focuses on developing expertise in software development and computer science. Students receive extensive education in contemporary approaches to the analysis, design and implementation of large-scale systems, along with a sound understanding of the traditional aspects of computer science such as hardware and operating systems. This course pays particular attention to the human factors involved in the development, deployment and use of computer-based systems. Students will develop skills in a range of contemporary approaches to software development, programming languages, development environments, and software development tools. Selected major: Data Science Learn the statistical methods and tools needed to manage big data sets and the visualisation techniques needed to represent and understand that data. Course structure Successful completion of the Bachelor of Computer Science (Professional) requires students to complete units of study to the value of 375 credit points. All units of study are valued at 12.5 credit points unless otherwise stated. Course learning outcomes Students who successfully complete this course will be able to: apply a broad and coherent knowledge of computer science in diverse contexts and domains using critical thinking and judgment apply appropriate methods and contemporary tools to the scoping, analysis, design, construction, verification and operation of software systems communicate proficiently to a variety of audiences, function as an effective member or leader of a team, and use the basic tools and practices of project management within project work demonstrate professionalism, integrity, ethical conduct, professional accountability and an awareness of professional practice in a global context apply problem analysis and decision-making methodologies to identify, design and implement solutions to industry relevant problems with intellectual independence reflect on personal performance, learning, and self-management processes as a means of continued professional development and lifelong learning.