BCSCAI Bachelor of Computer Science (Artificial Intelligence) - Flinders University

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Overview

The Bachelor of Computer Science (Artificial Intelligence) provides education in artificial intelligence systems development and exploitation that solves real-world problems using contemporary technologies while leveraging aspects of human intelligence. It offers national best practise work experience and job placement, training you for the needs of the South Australian and Australian … For more content click the Read More button below.

The Bachelor of Computer Science (Artificial Intelligence) provides education in artificial intelligence systems development and exploitation that solves real-world problems using contemporary technologies while leveraging aspects of human intelligence. It offers national best practise work experience and job placement, training you for the needs of the South Australian and Australian technology industry and public service sectors.

Student guidance

Program of study overview

Program of study notes

This Program of Study serves as a suggested study plan. When core topics are offered in both halves of the year, students may enrol in these topics in either half of the year as long as requisites are met
Students should select a pair of topics with the same topic prefix for their option topic selection in Year 1 and 2. Students who select BIOL1102 as their Year 1 option topic should select MMED2933 as their year 2 option topic
Students without SACE Mathematical Methods are advised to take MATH1701 Algebra and Functions before attempting MATH1121 Mathematics 1A
With the permission of the Course Coordinator and with the agreement of the industry partner, the practicum topics may be extended by six months by enrolling in the topic COMP3741 Extended Industry Experience. COMP3741 Extended Industry Experience does not attract fees or HECS payments. International students, please be aware that your student visa conditions may restrict you from undertaking COMP3741 within Australia. Please see the topic coordinator for further details

Program of study
108 Units

Year 136 Units

Core27 Units

Option4.5 Units

Select 4.5 units from the following (please refer to course rule note 2):

Molecular Basis of Life

Algebra and Functions

Linguistics and Phonetics 1

Elective4.5 Units

Select 4.5 units of elective topics where requisites are met. The following are recommended electives for this course (please also refer to course rule note 2):

Computer Game Development

Electronic Circuits

Sensors and Actuators

Multivariable Calculus

Numerical Analysis

Research Methods 1

Cognition and Learning

Human Development

Linguistics and Phonetics 1

Year 236 Units

Core22.5 Units

Option9 Units

Select 9 units from the same topic prefix undertaken at first year: See Course Rule Note 2

Microprocessors

Linear Algebra and Differential Equations

Fundamental Neuroscience

Linguistics and Phonetics 2

Elective4.5 Units

Select 4.5 units of elective topics where requisites are met. The following are recommended electives for this course:

Computer Game Development

Electronic Circuits

Sensors and Actuators

Signal Processing

Robotic Systems

Multivariable Calculus

Numerical Analysis

Complex Analysis

Sensory Motor Systems

Advanced Neuroscience

Research Methods 1

Cognition and Learning

Human Development

Linguistics and Phonetics 1

Year 336 Units

Core22.5 Units

Option13.5 Units

Admission requirements

Admission requirements

Pre-requisites

English Language requirements

Aims

The course has been designed to prepare students to become computing professionals able to:

Understand and utilise the range of technologies that underpin machine learning and artificial intelligence, with the ability to apply them to a range of contemporary challenges whilst being mindful of the ethical implications of intelligent systems
Analyse computational and data related problems from both a theoretical and practical perspective
Draw on a range of different algorithms to develop solutions to complex computational problems using the most appropriate programming paradigm
Contribute to solutions, and communicate effectively with experts across the computing discipline including computer hardware, systems software and end-user application development
Work effectively both as an individual and as part of a team
Exhibit a strong, practical understanding of professional and ethical responsibilities

The course provides experience of working in a team environment in industry. It also provides the foundations that will underpin ongoing professional development, preparing graduates for further study or for a career in an IT-related field or in other areas where the range of skills and knowledge acquired is needed or desirable.

Professional accreditation and recognition

Professional accreditation

Associations

Course/Course specialisation association

Course/Exit award association

Honours - Embedded/Bachelor association