The PhD and MPhil programmes in Data Science and Artificial Intelligence (DSAI) at Hong Kong Polytechnic University (PolyU) offer a rigorous and innovative academic environment for aspiring researchers. These programmes aim to equip students with advanced knowledge and skills in data science, machine learning, and artificial intelligence. Students will develop critical thinking and problem-solving abilities to engage in groundbreaking research that addresses real-world challenges.
Prospective students are encouraged to review the programme documents and contact academic staff directly regarding research opportunities and potential supervision.
University-managed accommodation is generally provided for the first year. For subsequent years, non-local students are expected to arrange their own accommodation. The cost of accommodation and meals may vary.
The tuition fee for international students is HK$200,000 per academic year. The estimated total cost for non-local students, including tuition, accommodation, meals, and personal expenses, is HK$287,655 per academic year.
The provided data does not specify the duration of the PhD and MPhil programmes in Data Science and Artificial Intelligence.
The provided data does not specify application deadlines for the PhD and MPhil programmes in Data Science and Artificial Intelligence.
You should follow the general admission procedures for research postgraduate programmes at The Hong Kong Polytechnic University. It is highly recommended to identify and contact potential supervisors whose research aligns with your interests before submitting your online application.
Yes, merit-based Research Studentships are available for full-time PhD or MPhil students, with the period determined by the Department. General Scholarships are also available for outstanding students based on academic and non-academic achievements, with varying amounts.
Prospective students are encouraged to review the official programme documents for specific academic entry requirements and contact academic staff directly to discuss research opportunities and supervision alignment.