Bachelor of Computer Science

Edith Cowan University

About

The Bachelor of Computer Science focuses on the practical and theoretical dimensions of computing and is designed to prepare students for careers in the fields of computer science and software engineering.

The course 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 will complete a foundation year, introducing concepts including programming, mathematics, networking, databases and security 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.

Structure

Year 1 - Semester 1

Unit Code Unit Title Credit Points
SCI1125 * Professional Science Essentials 15
CSP1150 Programming Principles 15
MAT1252 Mathematics for Computing 15
CSI1241 Systems Analysis 15

Year 1 - Semester 2

Unit Code Unit Title Credit Points
CSG1105 Applied Communications 15
CSI1101 Computer Security 15
ENS1161 Computer Fundamentals 15
CSG1207 Systems and Database Design 15

Year 2 - Semester 1

Unit Code Unit Title Credit Points
CSP2348 Data Structures 15
CSP2104 Object-oriented Programming with C++ 15
Unit from Major x 2 30

Year 2 - Semester 2

Unit Code Unit Title Credit Points
CSG2341 Intelligent Systems 15
CSG2344 * Project Methods and Professionalism 15
Unit from Major x 2 30

Year 3 - Semester 1

Unit Code Unit Title Credit Points
CSI3344 Distributed Systems 15
CSP3341 Programming Languages and Paradigms 15
Unit from Major x 2 30

Year 3 - Semester 2

Unit Code
Students not completing Work Integrated Learning enrol in:
CSG3101 Applied Project 30
Unit from Major x 2 30
Students completing Work Integrated Learning enrol in:
CSI3345 Work Experience Project 60

* Students will be assessed to see if they have achieved the ECU minimum standard of English language proficiency in this unit. Students who don't meet the minimum standard will be provided with appropriate English language support and development.

Unit sets that can be studied as part of this course

Entry requirements

Admission requirement (Band 3)

All applicants must meet the academic admission requirements for this course. The indicative or guaranteed ATAR is as published (where applicable) or academic admission requirements may be satisfied through completion of one of the following:

  • AQF Cert IV;
  • Successfully completed 0.25 EFTSL of study at bachelor level or higher at an Australian higher education provider (or equivalent);
  • Special Tertiary Admissions Test;
  • University Preparation Course;
  • Indigenous University Orientation Course;
  • Aboriginal University Readiness Assessment; or
  • Experience Based Entry Scheme.

English Language requirement (Band 3)

English competency requirements may be satisfied through completion of one of the following:

  • Year 12 English ATAR/English Literature ATAR grade C or better or equivalent;
  • Special Tertiary Admissions Test;
  • IELTS Academic Overall band minimum score of 6.0 (no individual band less than 6.0);
  • Successfully completed 1.0 EFTSL of study at bachelor level or higher in the UK, Ireland, USA, NZ or Canada;
  • University Preparation Course;
  • Indigenous University Orientation Course;
  • Aboriginal University Readiness Assessment;
  • AQF Diploma, Advanced Diploma or Associate Degree;
  • Successfully completed 0.375 EFTSL of study at bachelor level or higher at an Australian higher education provider (or equivalent); or
  • Other tests, courses or programs as defined in the Admissions Policy.

Learning outcomes

  1. 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.
  2. Interpret and analyse complex computer science problems using systems thinking, design thinking and computational thinking.
  3. Apply discipline knowledge, problem solving and creative thinking skills to anticipate challenges and produce solutions to computer science problems.
  4. Demonstrate technological literacy by finding, evaluating and using relevant tools and information from a range of sources.
  5. Communicate computer science knowledge and ideas clearly and coherently to technical and non-technical audiences.
  6. Incorporate diverse perspectives, including Aboriginal and Torres Strait Islander perspectives, and accessibility issues when designing computer-based systems.
  7. Work collaboratively and demonstrate initiative on complex computer science projects.
  8. Demonstrate autonomous and ongoing learning in the area of computer science to ensure continued relevance of skills and knowledge.

Institution