Associate Degree of Advanced Manufacturing

Program Overview

The Associate Degree of Advanced Manufacturing equips students with a blend of technical and analytical skills for careers in modern manufacturing industries. The program covers topics such as automation, data analytics, and the Internet of Things, preparing students to solve complex problems and develop innovative solutions in a highly digitized and automated manufacturing environment. Graduates are job-ready for roles in various sectors, including manufacturing, aerospace, and construction.

Program Outline

Degree Overview:

The Associate Degree of Advanced Manufacturing prepares students with a technical background or aptitude to excel in highly digitised and automated modern manufacturing industries. Managers and specialists need a blend of skills from across traditional fields to develop innovative and competitive manufacturing solutions. Advanced manufacturing sits at the nexus of automation, statistical learning, and the Internet of Things applied in production systems. Advanced manufacturing brings real-time data, automation, data analytics and intelligence to operations. This course covers methods, skills, and tools used in advanced manufacturing and cyber-physical production systems. Students develop a blended skillset of physics, mathematics, data analysis, creativity and critical thinking. Topics in this course include industrial data science, manufacturing, industrial engineering, automation, product life cycle management, additive manufacturing, Internet of Things, collaborative robotics, sensors, and artificial intelligence. Students use modern tools and problem-solving techniques to tackle real-world challenges. Students explore complex system analysis and problem solving through case studies derived from the UTS Centre for Advanced Manufacturing and industry partners. A central component of the program is the teaching of scientific methods for solving complex, socio-technical problems. To this end, students learn to develop socially, environmentally, economically, and technically sound solutions in real-world contexts. Industry relevant and globally translatable skills are used to promote job-readiness and employability in fields ranging from manufacturing, aerospace, and mining to food production, medical, retail and construction.

Outline:

Year 1

Autumn session

• Subject Code: 33130
• Credit Points: 6
• Subject Name: Mathematics 1
• Subject Code: 41301
• Credit Points: 6
• Subject Name: Industrial Engineering
• Subject Code: 41039
• Credit Points: 6
• Subject Name: Programming 1
• Subject Code: 48610
• Credit Points: 6
• Subject Name: Introduction to Mechanical Engineering

Spring session

• Subject Code: 33230
• Credit Points: 6
• Subject Name: Mathematics 2
• Subject Code: 41092
• Credit Points: 6
• Subject Name: Network Fundamentals
• Subject Code: 41053
• Credit Points: 6
• Subject Name: Materials and Manufacturing Engineering A
• Subject Code: 68037
• Credit Points: 6
• Subject Name: Physical Modelling

Year 2

Autumn session

• Subject Code: 41302
• Credit Points: 6
• Subject Name: Additive Manufacturing 1
• Subject Code: 41303
• Credit Points: 6
• Subject Name: Fundamentals of Automation and Robotics
• Subject Code: 41304
• Credit Points: 6
• Subject Name: Production System Design
• Subject Code: 41305
• Credit Points: 6
• Subject Name: Industrial IoT Studio

Spring session

• Subject Code: 41306
• Credit Points: 6
• Subject Name: Advanced Problem Solving Techniques
• Subject Code: 41307
• Credit Points: 6
• Subject Name: Collaborative Robotics Studio
• Subject Code: 41308
• Credit Points: 6
• Subject Name: Machine Learning and Industrial Data Science
• Subject Code: 41309
• Credit Points: 6

Careers:

Industry relevant and globally translatable skills are used to promote job-readiness and employability in fields ranging from manufacturing, aerospace, and mining to food production, medical, retail and construction.