University of Technology Sydney

C04434v1 Master of Technology Management

Award(s): Master of Technology Management in Artificial Intelligence (MTechMgt)
Master of Technology Management in Cybersecurity (MTechMgt)
Master of Technology Management (MTechMgt)

Commonwealth supported place?: No
Load credit points: 72
Course EFTSL: 1.5
Location: Online campus

Notes

This course is offered fully online

This course is not offered to international students.


Overview
Career options
Course intended learning outcomes
Admission requirements
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Articulation with UTS courses
Other information

Overview

The Master of Technology Management is designed for future-focused professionals who aspire to become growth-oriented technology leaders and want to develop enterprise leadership and organisational acumen to enable a sustainable, technology-driven future.

Students build on the communication, critical thinking, and leadership skills that inform strategic thinking and change management in technology-rich enterprises. Students build capacity to lead the implementation of technology-lead initiatives, innovation, and transformation: solving problems in technological lag and designing technology solutions for enterprise operations.

The program is also designed to enrich students' technical knowledge and understanding of how technologies interact with each other and are applied across business operations, empowering informed discourse and decision making in and across technical teams.

Delivered fully online, with part-time study, this course enables students to work full time while attaining the technology management skills to take control of their career. Customising learning to meet career goals, students can immediately apply what they learn to make a greater impact in their current role and prepare for a technology-driven future.

The Master of Technology Management allows students to customise their learning to meet their professional aspirations and upskilling needs. Students engage and learn with globally connected teaching staff involved in cutting-edge research from Australia’s #1 ranked university for Computer Science and Engineering.

Students have access to YourCall, which is a capability and learning log unique to the Faculty of Engineering and IT. YourCall helps students plan, record, and share their learning throughout the course.

Unique to UTS Online, this course is designed with busy full-time working professionals in mind. Studying this fully online course helps students to feel accomplished and supported at the same time.

Career options

Graduates from the Master of Technology Management have a variety of job roles available to them and are well equipped to lead and implement technology-led initiatives and transformation. Career options may include roles such General Manager, IT Technology Operations, General Manager – Information Systems, General Manager – Operations, Group Head of IT Operations and Infrastructure, Chief Technology Officer of a start-up (CTO), Chief Information Officer of a start-up (CIO), Tech Consultancy Director.

Course intended learning outcomes

A.1 Historically and Culturally informed about Indigenous Knowledge Systems: FEIT graduates are culturally and historically well informed, able to co-design projects as respectful professionals when working in and with Aboriginal and Torres Strait Islander communities.
B.1 Socially Responsible: Master of Technology Management graduates interpret technical, ethical, business and regulatory knowledge and apply systems thinking to predict the consequences of technology and data initiatives, with commitment to act in a socially and globally responsible manner, to enable sustainable, future-focused outcomes.
C.1 Design Oriented: Master of Technology Management graduates critically analyse and manage data and stakeholder insights to identify, research and evaluate opportunities, dilemmas, constraints, contradictions, risks and uncertainties in complex and dynamic environments.
D.1 Technically Proficient: Master of Technology Management graduates combine leadership theory and practices with expert judgement, organisational, strategic and business acumen to define, interpret and modify processes and the use of technology and data, within and across teams, functions and enterprises.
E.1 Collaborative and Communicative: Master of Technology Management graduates engage ethically with people, data and technology, demonstrate adaptability and communicate influentially to lead diverse teams, manage stakeholders, establish and leverage collaboration, and translate insights about technology and data use and value.
F.1 Reflective: Master of Technology Management graduates critically reflect on their own and others’ practices, seek and act on feedback, build self- awareness of competencies, demonstrate autonomy and take responsibility for their professional practice and learning.

Admission requirements

Applicants must have completed a UTS recognised bachelor's degree, or an equivalent or higher qualification, or submitted other evidence of general and professional qualifications that demonstrates potential to pursue graduate studies.

The English proficiency requirement for local applicants with international qualifications is: Academic IELTS: 6.5 overall with a writing score of 6.0; or TOEFL: paper based: 550-583 overall with TWE of 4.5, internet based: 79-93 overall with a writing score of 21; or AE5: Pass; or PTE: 58-64; or CAE: 176-184.

Eligibility for admission does not guarantee offer of a place.

Recognition of prior learning

Students in the Master of Technology Management are not granted exemptions for any prior studies.

Course duration and attendance

The course is offered on a two-year, part-time basis.

Course structure

Students are required to complete 72 credit points, comprising of 12 credit points of technology and enterprise foundations stream subjects and 60 credit points of core subjects.

The core component consists of a combination of 48 credit points in IT professional-focused subjects in artificial intelligence, cybersecurity, and management, and 12 credit points of research project subjects.

Course completion requirements

STM91585 Technology and Enterprise stream 12cp
STM91587 Sub-major Stream 48cp
STM91584 Enterprise and Technology Project stream 12cp
Total 72cp

Course program

A typical course program is provided below, showing the recommended study sequence to ensure completion of the course within the expected duration. Refer to the Timetable Planner for confirmation of availability

Management, Enterprise and Technology sub-major and AI sub-major, Session 3 commencing, full time
Year 1
Session 3
320557 Enabling Enterprise Information Systems   6cp
Session 4
320606 Database   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
420104 Artificial Intelligence for Enterprises   6cp
Year 2
Session 1
320513 Machine Learning   6cp
Session 2
320146 Data Visualisation and Visual Analytics   6cp
Session 3
570100 Data Ethics and Regulation   6cp
Session 4
420100 Leading Organisational Change   6cp
Session 5
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 6
420102 Building Enterprise Agility   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Management, Enterprise and Technology sub-major and AI sub-major, Session 4 commencing, full time
Year 1
Session 4
320606 Database   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
420104 Artificial Intelligence for Enterprises   6cp
Year 2
Session 1
320513 Machine Learning   6cp
Session 2
320146 Data Visualisation and Visual Analytics   6cp
Session 3
570100 Data Ethics and Regulation   6cp
Session 4
420100 Leading Organisational Change   6cp
Session 5
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 6
420102 Building Enterprise Agility   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
320557 Enabling Enterprise Information Systems   6cp
Management, Enterprise and Technology sub-major and AI sub-major, Session 5 commencing, full time
Year 1
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
420104 Artificial Intelligence for Enterprises   6cp
Year 2
Session 1
320513 Machine Learning   6cp
Session 2
320146 Data Visualisation and Visual Analytics   6cp
Session 3
570100 Data Ethics and Regulation   6cp
Session 4
420100 Leading Organisational Change   6cp
Session 5
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 6
420102 Building Enterprise Agility   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
320557 Enabling Enterprise Information Systems   6cp
Session 4
320606 Database   6cp
Management, Enterprise and Technology sub-major and AI sub-major, Session 6 commencing, full time
Year 1
Session 6
420104 Artificial Intelligence for Enterprises   6cp
Year 2
Session 1
320513 Machine Learning   6cp
Session 2
320146 Data Visualisation and Visual Analytics   6cp
Session 3
570100 Data Ethics and Regulation   6cp
Session 4
420100 Leading Organisational Change   6cp
Session 5
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 6
420102 Building Enterprise Agility   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
320557 Enabling Enterprise Information Systems   6cp
Session 4
320606 Database   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Management, Enterprise & Tech smj and Cybersecurity smj, Session 3 commencing, full time
Year 1
Session 3
320557 Enabling Enterprise Information Systems   6cp
Session 4
320606 Database   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
420107 Cybersecurity Analytics and Insights   6cp
Year 2
Session 1
420108 Cybersecurity Management   6cp
Session 2
320146 Data Visualisation and Visual Analytics   6cp
Session 3
570100 Data Ethics and Regulation   6cp
Session 4
420100 Leading Organisational Change   6cp
Session 5
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 6
420102 Building Enterprise Agility   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Management, Enterprise & Tech smj and Cybersecurity smj, Session 4 commencing, full time
Year 1
Session 4
320606 Database   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
420107 Cybersecurity Analytics and Insights   6cp
Year 2
Session 1
420108 Cybersecurity Management   6cp
Session 2
320146 Data Visualisation and Visual Analytics   6cp
Session 3
570100 Data Ethics and Regulation   6cp
Session 4
420100 Leading Organisational Change   6cp
Session 5
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 6
420102 Building Enterprise Agility   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
320557 Enabling Enterprise Information Systems   6cp
Management, Enterprise & Tech smj and Cybersecurity smj, Session 5 commencing, full time
Year 1
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Session 6
420107 Cybersecurity Analytics and Insights   6cp
Year 2
Session 1
420108 Cybersecurity Management   6cp
Session 2
320146 Data Visualisation and Visual Analytics   6cp
Session 3
570100 Data Ethics and Regulation   6cp
Session 4
420100 Leading Organisational Change   6cp
Session 5
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 6
420102 Building Enterprise Agility   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
320557 Enabling Enterprise Information Systems   6cp
Session 4
320606 Database   6cp
Management, Enterprise & Tech smj and Cybersecurity smj, Session 6 commencing, full time
Year 1
Session 6
420107 Cybersecurity Analytics and Insights   6cp
Year 2
Session 1
420108 Cybersecurity Management   6cp
Session 2
320146 Data Visualisation and Visual Analytics   6cp
Session 3
570100 Data Ethics and Regulation   6cp
Session 4
420100 Leading Organisational Change   6cp
Session 5
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 6
420102 Building Enterprise Agility   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
320557 Enabling Enterprise Information Systems   6cp
Session 4
320606 Database   6cp
Session 5
420046 Data Processing Using R   3cp
420047 Data Processing Using Python   3cp
Artificial Intelligence sub-major and Cybersecurity sub-major, Session 4 commencing, full time
Year 1
Session 4
320146 Data Visualisation and Visual Analytics   6cp
Session 5
570100 Data Ethics and Regulation   6cp
Session 6
420107 Cybersecurity Analytics and Insights   6cp
Year 2
Session 1
420108 Cybersecurity Management   6cp
Session 2
420102 Building Enterprise Agility   6cp
Session 3
420101 Technology and Innovation Management   6cp
Session 4
420104 Artificial Intelligence for Enterprises   6cp
Session 5
320513 Machine Learning   6cp
Session 6
420100 Leading Organisational Change   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
420103 Digital Strategy: Aligning Business and Technology   6cp
Artificial Intelligence sub-major and Cybersecurity sub-major, Session 5 commencing, full time
Year 1
Session 5
570100 Data Ethics and Regulation   6cp
Session 6
420107 Cybersecurity Analytics and Insights   6cp
Year 2
Session 1
420108 Cybersecurity Management   6cp
Session 2
420102 Building Enterprise Agility   6cp
Session 3
420101 Technology and Innovation Management   6cp
Session 4
420104 Artificial Intelligence for Enterprises   6cp
Session 5
320513 Machine Learning   6cp
Session 6
420100 Leading Organisational Change   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 4
320146 Data Visualisation and Visual Analytics   6cp
Artificial Intelligence sub-major and Cybersecurity sub-major, Session 6 commencing, full time
Year 1
Session 6
420107 Cybersecurity Analytics and Insights   6cp
Year 2
Session 1
420108 Cybersecurity Management   6cp
Session 2
420102 Building Enterprise Agility   6cp
Session 3
420101 Technology and Innovation Management   6cp
Session 4
420104 Artificial Intelligence for Enterprises   6cp
Session 5
320513 Machine Learning   6cp
Session 6
420100 Leading Organisational Change   6cp
Year 3
Session 1
420112 Project Design   6cp
Session 2
420113 Project Application   6cp
Session 3
420103 Digital Strategy: Aligning Business and Technology   6cp
Session 4
320146 Data Visualisation and Visual Analytics   6cp
Session 5
570100 Data Ethics and Regulation   6cp

Articulation with UTS courses

This course is part of an articulated program comprising the Graduate Certificate in Artificial Intelligence Management (C11339) or Graduate Certificate in Cybersecurity Management (C11340) or Graduate Certificate in Technology Management (C11341) and the Master of Technology Management.

Other information

Further information is available from:

UTS Student Centre
telephone 1300 ask UTS (1300 275 887) or +61 2 9514 1222
Ask UTS