Overview

The Bachelor of Information Technology (Machine Learning) (Honours) 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 … For more content click the Read More button below.

Course offerings

Tonsley

Courses / qualifications may not be offered in all locations and modes each year.  For more information on Mode of Delivery, visit Mode definitions

Student guidance

Study planner
Program of study overview
Program of study notes

Program of study
144 Units

Year 436 Units
Honours Program36 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 
  • Undertake a substantial research-oriented project

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:
1.
Design and develop a variety of applications including those requiring machine learning solutions
2.
Deliver creative IT and machine learning solutions to a wide variety of problems
3.
Analyse user problems and design appropriate and effective IT-based solutions
4.
Investigate IT solutions, which align with business needs and industry standards, using skills in networking, programming, security, database and web technologies
5.
Understand and analyse human factors and apply ethical and professional practices
6.
Work collaboratively in a team and communicate effectively in a variety of contexts
7.
Plan and execute a research project, applying relevant methodologies and knowledge appropriate to postgraduate research or advanced industrial investigation

Student progression rules

Students achieving a GPA of at least 5 at the end of the third year will be eligible to continue into the fourth year of the course. Students who do not meet the GPA requirement will be able to exit with the Bachelor of Information Technology (Machine Learning) on completion of 108 units according to the first three years of study in the degree.

Professional accreditation and recognition

Professional accreditation

Associations

Course/Course specialisation association
Course/Exit award association
Honours - Embedded/Bachelor association