专业简介
Health Data Science (HDS) is the science and art of generating data-driven solutions through comprehension of complex real-world health problems, employing critical thinking and analytics to derive knowledge from (big) data. HDS is an emergent discipline, arising at the intersection of (bio)statistics, computer science, and health. The MSc Health Data Science covers the entire pipeline from comprehension of complex health issues, through data wrangling and management, machine learning and data mining, data analytics, data modelling, and communication including data visualisation.
MSc Health Data Science graduates will be well suited to an identified area of workforce demand, in both public and private health sectors. High-achieving graduates will have potential for consideration of PhD enrollment. The program is designed to appeal to both those new to Health Data Science and those already working in the field looking to upskill. The MSc is appropriate for both an Australian and international audience. Potential students from any undergraduate background and/ or who possess relevant work experience will be considered for admission via the Graduate Certificate.
The program can be completed in 18 months full-time or part-time equivalent. The 72 unit of credit broadening Master of Science (MSc) in Health Data Science by coursework program is fully articulated, including options for Graduate Certificate (24 UOC), Graduate Diploma (48 UOC), and MSc. The MSc offers a choice between a 24 UoC workplace/ internship research dissertation or a 6 UOC capstone project plus 18 UOC electives (from a selection of over 20 courses).
Program Structure
Students must complete 72 UOC as a standalone program.
1. Compulsory courses - 48 UOC
2. Prescribed elective courses - 24 UOC
- 课程时长： 1-2年或以学校或offer为准
- 学费： A$31,950.00 (¥ 157,657) /年 AUD $50,360 for the entire course 以学校或offer为准
- 开学时间： 每年2或7月
- 总学分： 0
- 是否移民专业： 否 访问官网链接
入学要求
为来自中国的学生设计
English Language Requirements: IELTS Academic: 6.5 overall (min. 6.0 in each subtest); TOEFL Internet-based Test (iBT): 90 overall (min. 23 in writing, 22 in reading, listening and speaking); TOEFL - Paper-based Test (PBT) 577 overall (min. 5.0 in TWE); Pearson Test of English (PTE) Academic - 64 overall (min. 54 in each subtest); Cambridge Certificate of Proficiency in English (CPE) - 180 overall (min.180 in each subtest; Cambridge Certificate in Advanced English (CAE) - 176 overall (min.169 in each subtest).
国际学生入学条件
The entry criteria are:
an undergraduate degree in a cognate discipline
an undergraduate degree in a non-cognate discipline at honours level
successful completion of Graduate Diploma in Health Data Science 5372 program
or
qualifications equivalent to or higher than Graduate Diploma in Health Data Science 5372 program on a case-by-case basis
Cognate discipline is defined as a degree in one of the following disciplines:
- a science allied with medicine, including
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 Academic version only: 6.5 overall (min. 6.0 in each subtest)
TOEFL Internet-based Test (iBT): 90 overall (min. 23 in writing, 22 in reading, listening and speaking)
TOEFL Paper-based Test (PBT): 577 overall (min. 5.0 in TWE)
Pearson Test of English (PTE) Academic: 64 overall (min. 54 in each subtest)
UNSW Institute of Languages University English Entry Course (UEEC): Successful completion with a minimum overall grade of C+ and a minimum grade of C in the writing component.
Cambridge Certificate in Advanced English (CAE): 176 overall (min.169 in each subtest)
Cambridge Certificate of Proficiency in English (CPE): 180 overall (min.180 in each subtest)
如何申请
- 申请材料要求 本科已毕业 大学三、四年级在读
- 是否需要文书 否
- 申请费 100澳币
- 申请周期 1-2月
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