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Students
Tuition Fee
AUD 38,840
Per year
Start Date
Medium of studying
Duration
48 months
Program Facts
Program Details
Degree
Bachelors
Major
Artificial Intelligence | Computer Science
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
AUD 38,840
Intakes
Program start dateApplication deadline
2024-07-29-
2025-03-03-
About Program

Program Overview


The Bachelor of Computer Science (Professional) in Artificial Intelligence combines foundational computer science skills with expertise in AI engineering, machine learning, and cloud computing. Students engage in industry-linked projects and a paid work placement, gaining practical experience in AI applications. The program prepares graduates for high-demand careers in machine learning, computer vision, data science, and AI research.

Program Outline

Degree Overview:

  • The Bachelor of Computer Science (Professional) degree, with a major in Artificial Intelligence, emphasizes practical application and industry experience.
  • It combines foundational skills in computer science, hardware, and operating systems with expertise in AI engineering techniques, machine learning, and cloud computing architecture.
  • Students benefit from state-of-the-art labs and cutting-edge technology, ensuring they stay abreast of digital advancements.
  • The program includes six professionally focused industry-linked projects and a compulsory 12-month paid work placement, providing real-world experience in AI applications across diverse sectors.

Outline:

  • The program's curriculum comprises:
  • Core units (80 credit points): cover core concepts in computer systems, technology inquiry, networks and switching, and cloud computing architecture.
  • Major units (80 credit points): delve into AI fundamentals, intelligent systems, computing technology design and innovation, applied machine learning, software architectures, and AI for engineering.
  • Elective units (60 credit points): allow for specialization and exploration of specific interests, offering choices such as data science, games development, and software development.
  • Work placement units (40 credit points): consist of a 12-month paid internship, providing practical work experience and project-based learning opportunities.

Assessment:

  • The program employs a range of assessment methods to evaluate student learning, including:
  • Assignments: projects, case studies, and research papers
  • Examinations: mid-semester and end-of-semester tests
  • Presentations: oral and poster presentations
  • Quizzes: regular online quizzes to monitor progress
  • Practical work: hands-on projects, labs, and internships
  • Participation: active engagement in class discussions and collaborative projects

Teaching:

  • The program is delivered through a combination of lectures, tutorials, workshops, and laboratory sessions.
  • Classes are led by experienced faculty members and industry professionals with expertise in computer science and AI.
  • Students benefit from interactive learning environments and personalized support, fostering critical thinking, problem-solving, and communication skills.

Careers:

  • Graduates with a Bachelor of Computer Science (Professional) in Artificial Intelligence are highly sought after in the rapidly growing field of AI.
  • Potential career paths include:
  • Machine learning engineer: designing and developing machine learning models for various applications.
  • Computer vision engineer: specializing in image and video processing, object recognition, and scene understanding.
  • Data scientist: analyzing large datasets to extract insights, identify trends, and develop predictive models.
  • AI research scientist: conducting research and development in the field of artificial intelligence, exploring new algorithms, techniques, and applications.
  • Graduates possess a strong foundation in computer science and a deep understanding of AI principles, equipping them for successful careers in AI-related fields.
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Admission Requirements

Entry Requirements:

  • Successful completion of the Victorian Certificate of Education (VCE) or its equivalent, such as an interstate or international Year 12 qualification
  • Completion or partial completion of an approved tertiary qualification (including certificates IV (completed), diplomas, advanced diplomas, associate degrees, and degrees).

ATAR Guaranteed Entry Score:

  • 80.0

Prerequisites:

  • VCE Units 3 and 4: a minimum study score of 25 in any English (except EAL) or 30 in English as Alternate Language (EAL) or equivalent.
  • VCE Units 1 and 2: satisfactory completion in two units (any study combination) of any Mathematics or equivalent.

Exemptions:

  • Students who have successfully completed VCE Algorithmics (HESS) will receive credit exemption for 2 units (equivalent to 25 credit points) upon admission into either the Bachelor of Computer Science or the Bachelor of Computer Science (Professional) course at Swinburne, including:
  • - 12.5 credit points for COS10003 Computer Logic and Essentials
  • - 12.5 credit points for one elective unit

Language Proficiency Requirements:

  • Satisfactory completion of one of the following:
  • - IELTS overall band of 6.5 (Academic Module) with no individual band below 6.0
  • - Swinburne’s English for Academic Purposes (EAP 5 Advanced level) with overall 70%, all skills 65%
  • - or equivalent measures available at English language requirements.
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