BITML Bachelor of Information Technology (Machine Learning)

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Overview

The Bachelor of Information Technology (Machine Learning) produces IT professionals ready to innovate and develop the next generation of machine learning and artificial intelligence based applications. Graduates of this degree will be able to develop sophisticated solutions to complex problems using machine learning techniques and tools.

The course provides education in both the theoretical and the practical aspects of information technology and intelligent systems preparing graduates for a variety of roles.

The course offers national best practice work experience and job placement, preparing you for the needs of the South Australian, Australian and international technology industry and public service sectors.

Student guidance

Program of study overview

Program of study notes

Program of study
108 Units

Year 136 Units

Core31.5 Units

First half18 Units

Second half13.5 Units

Elective4.5 Units

Year 236 Units

Core31.5 Units

First half13.5 Units

Second half18 Units

Elective4.5 Units

Year 336 Units

Core36 Units

First half18 Units

Second half18 Units

Admission requirements

Admission requirements

English Language requirements

Aims

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

Design, develop, install, execute and support applications, systems software and hardware products
Understand and manage complex systems problems and solve them using machine learning and artificial intelligence techniques and tools
Design, manage and analyse complex data-rich environments
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, a career in an IT-related field or in other areas where the range of skills and knowledge acquired is of benefit.

Learning outcomes

On completion of the course you will be able to:

Design and develop a variety of applications including those requiring machine learning solutions

Deliver creative IT and machine learning solutions to a wide variety of problems

Analyse user problems and design appropriate and effective IT-based solutions

Investigate IT solutions, which align with business needs and industry standards, using skills in networking, programming, security, database and web technologies

Understand and analyse human factors and apply ethical and professional practices

Work collaboratively in a team and communicate effectively in a variety of contexts

Professional accreditation and recognition

Professional accreditation

Associations

Course/Course specialisation association

Course/Exit award association

Honours - Embedded/Bachelor association