University of Technology Sydney (UTS) – PhD in Management

University
University of Technology Sydney (UTS)
Region
Australia
Subject
Management
Duration
3–4 years
Format
In person

Research Focus

Digital transformation, digital processing visualisation, business systems, information systems, ICT higher education and mobile health. Suitable student disciplinary backgrounds: information management and information systems, computer science, data science, software engineering, business, management, economics, industrial engineering, systems engineering. 2. Programme structure: this programme is a full-time PhD of 3 to 4 years. 1–2 students are admitted each year.

Entry Requirements

  • Academic background: 1) A Master’s degree with First Class or Second Class Division 1 honours in a relevant discipline or equivalent qualification, with a GPA above 3.3. 2) At least two relevant published papers.
  • English language scores: 1) IELTS overall 6.5 (with writing no lower than 6.0; no requirement for the other components). 2) TOEFL overall 79–93 (with writing no lower than 21; no requirement for the other components). 3) A degree obtained in an English-speaking country may exempt the applicant from the English language requirement.

Application Materials

  1. Degree certificates and transcripts. 2) English language test report. 3) Personal statement. 4) Research proposal.

Application Period

Applications are accepted throughout the year. Application process:

  • Applicants submit an English CV and research proposal, which will undergo an initial assessment.
  • Those who pass the initial screening will be invited to a private interview with a potential supervisor.
  • After passing the interview, application materials must be formally submitted through the official website.
  • Shortlisted candidates will be interviewed by the faculty admissions committee.
  • Offer of admission issued.

Applications accepted throughout the year

Tuition and Living Costs

Tuition

AUD 37,000 per year.

Career Prospects

  1. Software development: software engineer, full-stack developer, mobile application developer (very high demand).

Data Science

Data scientist, data analyst, machine learning engineer.

Cybersecurity

Cybersecurity analyst, penetration tester, security consultant.

Business and Technology Consulting

IT consultant, business analyst, systems architect.

Fintech

Blockchain developer, quantitative analyst.