According to LinkedIn's 2020 emerging jobs report, Artificial Intelligence Specialists (74% annual growth) and Data Scientists (37% annual growth) who possess skills such as Machine Learning, Python, and Deep Learning are the most sought-after individuals across different industries.
By completing a doctoral degree in Business Administration in Data Science and Artificial Intelligence students become experts in the use of advanced tools and develop the strategic planning and decision-making skills which are vital to succeeding in the AI/ML industries.
- This Global DBA will help you to become a Thought Leader in your industry and provide the experience required to work in senior management positions such as CXO, VP, and Head of Analytics.
Visit programme website for more information
Programme Structure
Modules include:
- Data Sciences & AI Applications
- Digital Strategy
- Data Sciences & AI Applications
- Module 2: Qualitative and Mixed Research Methods
- Quantitative Methods and Data Analytics
- Advanced Optimisation
- Digital Organisation and Workforce
Check out the full curriculum
Admission Requirements
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
TOEFL iBT: 80
IELTS: 6.5
Other requirements
- To be eligible you must have obtained a 1st division in your master's level degree and have a minimum of 5 years of experience. Bachelor students with 8/10 years of experience may also apply. You are also required to be in a professional position while completing the programme.
- You must have a sufficient level of English for admission: TOEFL > 80, TOEIC > 60, IELTS > 6.5, Previous studies taught in English (minimum 3 years), Native Language: English
Fees and Funding
Tuition Fees
International: 21,180 AUD / year (≈ 13,000 EUR / year)
EU/EEA: 21,180 AUD / year (≈ 13,000 EUR / year)
1st year: 13,000 €; 2nd year: 13,000 €; 3rd year: 14,000 €
Scholarships Information
Below you will find PhD's scholarship opportunities for Global Business Administration in Data Science and AI.
