Students
Tuition Fee
USD 880
Per year
Start Date
Not Available
Medium of studying
On campus
Duration
36 months

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Details
Program Details
Degree
Bachelors
Major
Computer Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 880
About Program

Program Overview


Focusing on the practical and theoretical dimensions of computer science, this course prepares students for careers in the fields of computing and software development.

The Bachelor of Computer Science emphasises critical thinking and problem solving alongside discipline knowledge and skills, providing students with the opportunity to undertake complex computer science projects both independently and in teams.

Students are introduced to concepts including programming, mathematics, networking, databases and security in their foundation year, before specialising in an area of computer science. Advanced topics in computer science, including artificial intelligence and distributed computing, are studied alongside the chosen area of specialisation.

Course Learning Outcomes

  • Apply broad knowledge of concepts, principles and techniques in the discipline of computer science, including computational thinking and the storage, processing and communication of data.
  • Apply discipline knowledge, problem solving and creative thinking skills to anticipate challenges and produce solutions to computer science problems.
  • Communicate computer science knowledge and ideas clearly and coherently to technical and non-technical audiences.
  • Demonstrate autonomous and ongoing learning in the area of computer science to ensure continued relevance of skills and knowledge.
  • Demonstrate technological literacy by finding, evaluating and using relevant tools and information from a range of sources.
  • Incorporate diverse perspectives, including Aboriginal and Torres Strait Islander perspectives, and accessibility issues when designing computer-based systems.
  • Interpret and analyse complex computer science problems using systems thinking, design thinking and computational thinking.
  • Work collaboratively and demonstrate initiative on complex computer science projects.
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