Bachelor of Software Engineering (Artificial Intelligence) at Torrens University Australia

Cost: Not available

Torrens University Australia, AUS

Type: Undergraduate Duration: 3.0 years

Explore the Bachelor of Software Engineering (Artificial Intelligence) program at Torrens University Australia. This program is offered in AUS and provides an excellent learning opportunity in Undergraduate studies.

The Bachelor of Software Engineering (Artificial Intelligence) at Torrens University Australia equips students with essential technical skills and soft skills for a career in artificial intelligence. The program covers key topics such as machine learning, computer vision, and speech recognition, alongside foundational software engineering principles. Students will engage in hands-on projects, including a 360-hour work-integrated learning experience through internships or live briefs. The curriculum includes 11 core subjects, eight specialization subjects, and three electives, allowing for a comprehensive understanding of AI applications. Graduates will be prepared for roles such as Machine Learning Engineer, Software Engineer, and AI Specialist, with a strong emphasis on ethical practices and social responsibility in technology. The program can be completed full-time, part-time, or accelerated, providing flexibility to suit various lifestyles.

University
Torrens University Australia
University Location
AUS (Online)
Program Duration
3.0 years
Ranking
Not available
Part-time allowed
Yes

Required Courses
  • Maths 1
  • Introduction to Software Engineering
  • Algorithms and Data Structures
  • Microservices Architecture
  • Introduction to Computer Graphics
  • Concepts in Artificial Intelligence
  • Probabilities and Statistics
  • Introduction to Data Science
  • Networking and Database Systems
  • Project Based Learning Studio: Technology
  • Human-Centred Design
Elective Courses
  • Applications of Artificial Intelligence
  • Classification and Regression
  • Machine Learning Principles
  • Data Mining and Visualisation
  • Natural Language Processing and Speech Recognition
  • Deep Learning
  • Introduction to Cloud Computing
  • Introduction to DevOps
  • Interaction Design
  • Game Design Principles