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Engineering and Technology
Bachelor of Computer Science
Bachelor of Computer Science

Bachelor of Computer Science

  • ID:LTU610078
  • Level:3-Year Bachelor's Degree
  • Duration:
  • Intake:

Fees (AUD)

Estimated Total/program:
Apply
60
Accept letter
100
Visa
20
Fly
1

Admission Requirements

Entry requirements 

Subject prerequisites

Units 3 and 4: a study score of at least 20 in one of Maths: Mathematical Methods or Maths: Specialist Mathematics.

Units 3 and 4: a study score of at least 25 in English (EAL) or at least 20 in English other than EAL.

English requirements

  • IELTS (Academic) score of 6.0 with no individual band score less than 6.0

  • TOEFL Paper based: overall score of 550 with 5 or better in TWE (Test of Written English).

  • TOEFL Internet based (iBT): overall score of 64 with 13 in Reading, 12 in Listening, 18 in Speaking and 21 in Writing.

  • La Trobe College Australia ELICOS (LTCA): completion of EFS level 5B with minimum 60% overall and 60% in final exam.

  • La Trobe College Australia Foundation Studies (LTCA): completion of Foundation studies with 60% in English (Academic Communication).

  • Pearson Test of EConglish (Academic) (PTE): overall score of 50 with no communicative skill score less than 50.

  • Cambridge Certificate of Advanced English (CAE): 169 with no less than 169 in any component.

Course Information

As digital disruption continues to reshape our personal and professional lives, businesses are looking for graduates who'll help to evolve their products and systems.

Carefully aligned to meet industry needs, our Bachelor of Computer Science will help you gain the technical skills to adapt to emerging technologies across an increasingly digital world. You'll choose from three majors – artificial intelligence, software engineering or cloud analytics – so you can prepare for a specialised career in computer science.

As well as your technical subjects, you'll also build the human skills you need for the workplace. Think project management, critical thinking, problem-solving and communication. These are the transferable skills you'll need to be employable and carve a path of success throughout your career.

Access our expert research centres, including the Centre for Technology Infusion, the Optus Cyber Security Research Centre and a state-of-the-art research lab for the Internet of Things – one of the largest in Victoria, proudly developed in collaboration with Microsoft and CISCO.

You'll use your computer science know-how to solve real-world problems with industry-based learning and mentoring opportunities with major corporations. You could take on an industry-based project with leading organisations like Microsoft, Coles, the Australian Ballet and Incitec Pivot Limited – as students have done in the past.

Show off your work at the annual IT and Engineering Showcase, where prospective employers will see what you've done. Or you could choose to undertake an applied research project, developing the skills you need to succeed in research.

You'll learn:

  • Computer science

    • Gain essential skills in programming, mobile app development, logic and data structures, systems analysis and design, computer architecture and databases.

  • Web development

    • Learn full-stack web development, including front end and software development using the latest applications.

  • Cloud analytics

    • Gain proficiency across the latest technologies for analysing big data, including Apache Hadoop and Apache Spark, and learn how to use Amazon Web Services.

  • Artificial intelligence (AI)

    • Understand the historical foundations and fundamentals of AI as they apply to machine learning, natural language processing and intelligent robotic systems.

  • Software engineering

    • Develop expertise across algorithms and data structures, user interface design, measurement and testing principles, and cloud-based web and mobile applications.

CRICOS code: 022037E

More information: click here​

Study options

Core subjects

Core subjects are required subjects in your course. You need to complete these subjects to attain your degree.

Year: 1

  • academic integrity module, 

  • wominjeka la trobe: indigenous cultural literacy for higher education, 

  • discrete mathematics, 

  • object-oriented programming fundamentals, 

Year:  2

  • algorithms and data structures, 

  • database fundamentals, 

  • system analysis and design, 

Year:  3

  • professional practices and entrepreneurship in information technology, 

  • project management, 

Majors

A major is a sequence of related subjects studied in your course. To attain a major, this sequence must add up to 120 credit points. In some courses, you need to complete at least one major from your course's discipline to attain your degree. If there is room in your degree for more than one major, you may wish to complete an open access major from another discipline area.

Course majors

  • Artificial intelligence

  • Cloud analytics

  • Software engineering

Elective subjects

A range of standalone elective subjects is available in this course. Some electives are recommended for your course, but you may also be able to choose from a range of University-wide electives or electives from other interest areas or disciplines.

Capstone subjects

Capstone subjects are required subjects in your course or major that help you integrate and apply the knowledge and skills you gain to solve real world problems. Capstone subjects are often taken towards the end of your course.

Year: 3

  • capstone project, 
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Pre Courses

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Pathway Courses

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Career Opportunity

Career Opportunity

La Trobe's Bachelor of Computer Science can lead to careers in technology, communications, education, finance, government, healthcare or energy sectors. Discover specialised careers where you'll develop IT solutions as a systems analyst, interpret technical designs as a developer programmer or write code as a full stack web.

Imagine yourself in one of the following roles:

  • Full stack web developer or programmer

    • Design, build and maintain websites using both creative and technical skills to continuously improve safety, performance, usability and capacity.

  • Big data engineer

    • Analyse very large datasets using the state-of-the-art big data technologies like Apache Hadoop and Apache Spark. Generate reports with insightful data visualisation using the data extracted by big data tools.

  • Machine learning engineer

    • Use data science to design and develop machine learning systems that perform statistical analysis and help to drive innovation in artificial intelligence.

Ability to settle

Overseas Student Health Cover

530 AUD/year

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