MSc in Brain-Machine Interface 18 months Postgraduate Programme By The Hong Kong Polytechnic University |TopUniversities

Programme overview

Degree

MSc

Study Level

Masters

Study Mode

Blended

Programme Aims

The programme has the following aims:
(a) To nurture BMI professionals and specialists with professional competence, strategic thinking, and lifelong learning capability to benefit mankind.
(b) To provide students with scientific and engineering knowledge, as well as the advanced technology tools necessary for worldwide applications of BMI.
(c) To cultivate critical thinking and problem-solving abilities through multidisciplinary collaboration and communication.
 
Characteristics
Comprehensive coverage of key BMI domains, integrating fundamental science with engineering methodologies and computational tools.
A modular curriculum structure combining core and elective subjects, offering flexibility and opportunities for independent study through dissertation or project-based learning.
Interdisciplinary teaching supported by expertise across multiple departments, with a strong emphasis on developing analytical, quantitative, and experimental skills.

Programme overview

Degree

MSc

Study Level

Masters

Study Mode

Blended

Programme Aims

The programme has the following aims:
(a) To nurture BMI professionals and specialists with professional competence, strategic thinking, and lifelong learning capability to benefit mankind.
(b) To provide students with scientific and engineering knowledge, as well as the advanced technology tools necessary for worldwide applications of BMI.
(c) To cultivate critical thinking and problem-solving abilities through multidisciplinary collaboration and communication.
 
Characteristics
Comprehensive coverage of key BMI domains, integrating fundamental science with engineering methodologies and computational tools.
A modular curriculum structure combining core and elective subjects, offering flexibility and opportunities for independent study through dissertation or project-based learning.
Interdisciplinary teaching supported by expertise across multiple departments, with a strong emphasis on developing analytical, quantitative, and experimental skills.

Admission Requirements

A Bachelor's degree in engineering, basic science, or a closely related discipline. 

1.5 Years
Sep

Tuition fees

Domestic
35,573
International
35,573

Scholarships

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