C04435v1 Executive Master of Technology Management
Award(s): Executive Master of Technology Management (MTechMgtExec)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
Other information
Overview
The Executive 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.
The portfolio consists of masters level subjects focused on leadership and organisational-acumen, supporting skills and knowledge development in technology, data, and process management.
The Masters students complete two industry-focused projects in which technological, leadership, business, and strategic thinking skills are applied to enterprise challenges and opportunities. Students build on the communication, critical thinking, and leadership skills that inform strategic thinking and change management in technology rich enterprises. They 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 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. The executive masters is suitable for a C-suite bound tech professional with advanced professional capability. This course offers an accelerated pathway and focuses on providing strategic and leadership skills within cutting edge leadership subjects focused on technology and enterprises.
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 Executive 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 will help 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 Executive Master of Technology Management have a variety of roles available to them and are well equipped to lead and implement technology-led initiatives and transformation. Career options may include roles such as Group Head of IT and Operations, Global Head of IT and Operations, Head of Group Data Platforms, Chief Information Officer (CIO), Director of Technology/Digital Products, Chief Technology Officer (CTO).
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: Executive 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: Executive 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: Executive 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: Executive 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: Executive 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.
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.
It is a requirement that the degree be in Computer Science, Information Technology, Information Systems, Business Data Analytics, Software Engineering or another comparable field.
In addition to the outlined qualifications, applicants need to satisfy minimum professional practice requirements of at least five years full time (or equivalent) by providing materials substantiating their work experience (or alternative experience through their contributions to organisations and/or communities and/or start-ups and/or entrepreneurship). This will be supported by submission of:
- CV, electronic portfolio or professional profile outlining work experience, the dates of employment and position(s) held within the organisation.
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 with a writing score of 50; or C1A/C2P: 176-184 with a writing score of 169.
Eligibility for admission does not guarantee offer of a place.
Recognition of prior learning
Students in the Executive Master of Technology Management are eligible for 24 credit points of exemptions.
Applicants with a minimum of five-year full-time, or equivalent part-time, work experience may be granted RPL for up to 24 credit points (four subjects).
Course duration and attendance
The course can be completed in a minimum of two years full time study (ie. 1 x 6 credit points subject per session over 12 x 7-week sessions) or a maximum of four years part time study.
Course structure
Students are required to complete 72 credit points, comprising of 12 credit points of technology and enterprise core subjects, 12 credit points of research project core subjects and 48 credit points of professional-focused electives.
Course completion requirements
| STM91582 Technology and Enterprise stream | 12cp | |
| STM91584 Enterprise and Technology Project stream | 12cp | |
| CBK92022 Management, Enterprise and Technology choice | 48cp | |
| 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.
| Session 3 commencing, full time | ||
| Year 1 | ||
| Session 3 | ||
| 320557 Enabling Enterprise Information Systems | 6cp | |
| Session 4 | ||
| 320606 Database | 6cp | |
| Session 5 | ||
| 570100 Data Ethics and Regulation | 6cp | |
| Session 6 | ||
| 420104 Artificial Intelligence for Enterprises | 6cp | |
| Year 2 | ||
| Session 1 | ||
| 420103 Digital Strategy: Aligning Business and Technology | 6cp | |
| Session 2 | ||
| 420102 Building Enterprise Agility | 6cp | |
| Session 3 | ||
| 420112 Project Design | 6cp | |
| Session 4 | ||
| 420113 Project Application | 6cp | |
| Session 4 commencing, full time | ||
| Year 1 | ||
| Session 4 | ||
| 320606 Database | 6cp | |
| Session 5 | ||
| 570100 Data Ethics and Regulation | 6cp | |
| Session 6 | ||
| 420104 Artificial Intelligence for Enterprises | 6cp | |
| Year 2 | ||
| Session 1 | ||
| 420103 Digital Strategy: Aligning Business and Technology | 6cp | |
| Session 2 | ||
| 420102 Building Enterprise Agility | 6cp | |
| Session 3 | ||
| 420112 Project Design | 6cp | |
| Session 4 | ||
| 420113 Project Application | 6cp | |
| Session 5 | ||
| 320513 Machine Learning | 6cp | |
| Session 5 commencing, full time | ||
| Year 1 | ||
| Session 5 | ||
| 570100 Data Ethics and Regulation | 6cp | |
| Session 6 | ||
| 420104 Artificial Intelligence for Enterprises | 6cp | |
| Year 2 | ||
| Session 1 | ||
| 420103 Digital Strategy: Aligning Business and Technology | 6cp | |
| Session 2 | ||
| 420102 Building Enterprise Agility | 6cp | |
| Session 3 | ||
| 420112 Project Design | 6cp | |
| Session 4 | ||
| 420113 Project Application | 6cp | |
| Session 5 | ||
| 320513 Machine Learning | 6cp | |
| Session 6 | ||
| 320146 Data Visualisation and Visual Analytics | 6cp | |
| Session 6 commencing, full time | ||
| Year 1 | ||
| Session 6 | ||
| 420104 Artificial Intelligence for Enterprises | 6cp | |
| Year 2 | ||
| Session 1 | ||
| 420103 Digital Strategy: Aligning Business and Technology | 6cp | |
| Session 2 | ||
| 420102 Building Enterprise Agility | 6cp | |
| Session 3 | ||
| 420112 Project Design | 6cp | |
| Session 4 | ||
| 420113 Project Application | 6cp | |
| Session 5 | ||
| 320513 Machine Learning | 6cp | |
| Session 6 | ||
| 320146 Data Visualisation and Visual Analytics | 6cp | |
| Year 3 | ||
| Session 1 | ||
| 420101 Technology and Innovation Management | 6cp | |
Other information
Further information is available from:
UTS Student Centre
telephone 1300 ask UTS (1300 275 887) or +61 2 9514 1222
Ask UTS