C11339v1 Graduate Certificate in Artificial Intelligence Management
Award(s): Graduate Certificate in Artificial Intelligence Management (GradCertAIMgt)Commonwealth supported place?: No
Load credit points: 24
Course EFTSL: 0.5
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
Inherent (essential) requirements
Recognition of prior learning
Course duration and attendance
Course structure
Course completion requirements
Course program
Articulation with UTS courses
Other information
Overview
Artificial Intelligence Management is for technical professionals working with artificial intelligence to inform enterprise decision making. Students develop abilities in analysing, planning and strategising around data and AI.
Building an understanding of the legal regulation of data use and privacy, students examine data policy development, explore deficiencies and current state of data governance. In particular, students develop their skills applying techniques such as data analytics, data visualisation and machine learning and get the opportunity to develop their leadership in AI solutions.
The Graduate Certificate in Artificial Intelligence 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.
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 Graduate Certificate in Artificial Intelligence 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 Graduate Certificate in Artificial Intelligence 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 as AI Specialist, IT/Digital Project Manager, Head of Digital, Technical Product Manager.
Course intended learning outcomes
| A.1 | Graduate Certificate in Artificial Intelligence Management graduates are culturally and historically informed, with awareness of ethical practices when working with Aboriginal and Torres Strait Islander communities. |
| B.1 | Graduate Certificate in Artificial Intelligence Management graduates evaluate technical and sociotechnical impacts of digital technologies issues against ethical and regulatory parameters, with commitment to act in a socially and globally responsible manner. |
| C.1 | Graduate Certificate in Artificial Intelligence Management graduates critically analyse perspectives and insights from stakeholders and apply well-developed judgement to evaluate opportunities, risks, dilemmas, constraints, contradictions and uncertainties in complex environments. |
| D.1 | Graduate Certificate in Artificial Intelligence Management graduates apply information technologies knowledge and theory to select appropriate methodologies and review solutions for digital transformation. |
| E.1 | Graduate Certificate in Artificial Intelligence Management graduates communicate with a variety of audiences to transmit concepts and behave with collegiality and ethical awareness to develop leadership in digital transformation. |
| F.1 | Graduate Certificate in Artificial Intelligence Management graduates reflect on their own practices, seek and act on feedback, build self-awareness of competencies to act with 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 must have completed at least one year full-time (or equivalent) experience in a related role to the Graduate Certificate or Graduate Diploma (or alternative experience through their contributions to organisations and/or communities and/or start-ups and/or entrepreneurship may be considered). 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.
Alternative admission pathway:
Applicants who do not meet the academic qualification requirements for admission but have professional practice (three-year minimum) and a general capacity to undertake tertiary education may be considered. 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.
Assessment of other criteria:?
Demonstrates experience in a technology or enterprise role related to artificial intelligence demonstrating skills of assumed prior knowledge required for the relevant course.
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.
Inherent (essential) requirements
Inherent (essential) requirements are academic and non-academic requirements that are essential to the successful completion of a course.
Prospective and current students should carefully read the Inherent (Essential) Requirements Statement below and consider whether they might experience challenges in successfully completing this course. This Statement should be read in conjunction with the UTS Student Rules.
Prospective or current student concerned about their ability to meet these requirements should discuss their concerns with the Academic Liaison Officer in their faculty or school and/or UTS Accessibility Service on 9514 1177 or at accessibility@uts.edu.au.
UTS will make reasonable adjustments to teaching and learning, assessment, professional experiences, course related work experience and other course activities to facilitate maximum participation by students with disabilities, carer responsibilities, and religious or cultural obligations in their courses.
For course specific information see the Faculty of Engineering & Information Technology Inherent (Essential) Requirements Statement.
Recognition of prior learning
Recognition of prior learning is not available for this course.
The substitution of core subjects with an alternative/advanced UTS Online postgraduate subject in a similar field of study may be granted.
Course duration and attendance
The course can be completed in a minimum of 8 months online study, 1 x 6 credit point subject (or equivalent) per session over 4 x 7-week sessions. A 6 credit point subject requires an average of 15-20 hours of study per week.
Course structure
Students are required to complete 24 credit points, comprising of 6 credit points of ethical data management and regulation subject and 18 credit points of professional-focused subjects in data analytics, data visualisation and machine learning, and the use of data analytic and data mining in artificial intelligence application.
Course completion requirements
| 320146 Data Visualisation and Visual Analytics | 6cp | |
| 420104 Artificial Intelligence for Enterprises | 6cp | |
| 320513 Machine Learning | 6cp | |
| 570100 Data Ethics and Regulation | 6cp | |
| Total | 24cp |
Course program
For a tailored study program, download a course guide and speak to a UTS Online Student Enrolment Advisor about entering in any one of the six admission points per year to study fully online.
Articulation with UTS courses
This course is part of an articulated program comprising the Graduate Certificate in Artificial Intelligence Management, the Master of Technology Management (C04434), and the Executive Master of Technology Management (C04435).
Other information
For more information, speak to a UTS Online Student Enrolment Advisor:
telephone 1300 477 423