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Health Data Science (HDS) represents the scientific and creative process of developing data-informed solutions by understanding intricate real-world healthcare challenges. It combines analytical reasoning and computational techniques to extract insights from large-scale datasets. As an emerging field, HDS bridges the gap between biostatistics, computer science, and healthcare. The MSc in Health Data Science addresses the complete workflow - from analyzing complex health scenarios to data processing, machine learning, statistical analysis, predictive modeling, and effective presentation through visualization techniques.
Graduates of the MSc Health Data Science program will be ideally positioned to meet growing workforce needs across both public and private healthcare systems. Exceptional students may qualify for PhD programs. This degree caters to beginners entering the field as well as professionals seeking advanced training. The program is relevant for both Australian and international students. Applicants from diverse academic backgrounds or with applicable work experience may gain entry through the Graduate Certificate pathway.
For entry into this degree, you must have one of the following:
Cognate disciplines
medicine
nursing
dentistry
physiotherapy
optometry
biomedical/biological science
pharmacy
public health
veterinary science
biology
biochemistry
statistics
mathematical sciences
computer science
psychology
(health) economics
data science
other (case-by-case basis)
English Language Requirements:
IELTS: 6.5 overall (min. 6.0 in each subtest); TOEFL IBT (Internet Based): 90 overall (min. 23 in writing, 22 in reading, listening and speaking); Pearson (PTE - Academic): 64 overall (min. 54 in each subtest); C1 Advanced Cambridge: 176 overall (min. 169 in each subtest); C2 Proficiency Cambridge: 180 overall (min. 180 in each subtest); UNSW Global University English Entry Course (UEEC): Successful completion with a minimum overall grade of C+ and a minimum grade of C in the writing component.