Master of Commerce (Extension)
The University of New South Wales (UNSW), located in Sydney, Australia, offers a Master...
Kensington - Sydney
INTAKE: Feb & Sept
The Master of Science in Health Data Science program provides students with a comprehensive understanding of healthcare data, data analysis techniques, and their applications in the field of healthcare. The program incorporates a blend of theoretical knowledge and practical skills, making graduates well-prepared to address the evolving challenges in the healthcare sector.
Curriculum: The program's curriculum is carefully structured to cover a wide range of topics relevant to health data science. Students learn about data collection methods, data management, statistical analysis, machine learning, and data visualization techniques specific to healthcare. The curriculum is designed to bridge the gap between healthcare expertise and data science proficiency.
Research Focus: Research is a fundamental component of the Master of Science in Health Data Science program. Students are encouraged to engage in research projects that tackle real-world healthcare issues. These projects often involve collaborating with healthcare institutions, research centers, and industry partners, allowing students to gain practical experience in solving healthcare challenges through data analysis.
Industry Engagement: UNSW places a strong emphasis on industry engagement within this program. Students have opportunities to work on industry-sponsored projects, internships, and placements in healthcare organizations. These experiences provide valuable insights into the healthcare industry and enhance students' employability.
Global Perspective: Given the global nature of healthcare challenges, the program incorporates a global perspective. Students explore international healthcare systems, learn about global health policies, and analyze healthcare data from diverse geographical regions. This global outlook prepares graduates to work in healthcare settings worldwide.
Kensington - Sydney
IELTS 6.5
AUD 40195
Postgraduate Entry Requirements:
Academic Qualifications: A minimum of 65% or above in the applicant's previous academic qualifications, such as a bachelor's degree or equivalent.
English Language Proficiency:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It's important to note that entry requirements can vary by program and may change over time. Additionally, some programs may have additional requirements, such as interviews, portfolios, or work experience.
UNSW offers a variety of scholarships to attract and assist international students.
Merit-Based Scholarships: UNSW offers merit-based scholarships to international students with exceptional academic achievements. These scholarships recognize academic excellence and provide financial support to cover tuition fees or living expenses.
Country-Specific Scholarships: Some scholarships are tailored for students from specific countries or regions. These scholarships aim to promote diversity and cultural exchange among international students.
Research Scholarships: UNSW provides research scholarships for international students pursuing postgraduate research degrees (e.g., Ph.D.). These scholarships often include a stipend to support research expenses and living costs.
Faculty/Program Scholarships: Certain faculties or academic programs at UNSW offer scholarships to attract outstanding international students interested in specific fields of study. These scholarships may cover tuition fees or provide research opportunities.
Sports and Arts Scholarships: UNSW acknowledges the talents and achievements of international students in sports and the arts. Scholarships in these categories may be available to support students with exceptional abilities.
Completing the Master of Science in Health Data Science program at UNSW opens up a wide array of career opportunities in the healthcare and data science sectors.
Health Data Analyst: Graduates can work as health data analysts, using their skills to extract meaningful insights from healthcare data to support decision-making in hospitals, clinics, and healthcare agencies.
Healthcare Data Scientist: Graduates are well-positioned to become healthcare data scientists, applying advanced analytics and machine learning techniques to solve complex healthcare problems.
Epidemiologist: Graduates can pursue careers as epidemiologists, studying patterns of disease and health to inform public health policies and interventions.
Healthcare Consultant: Graduates can work as healthcare consultants, providing data-driven solutions to healthcare organizations, improving efficiency, and patient outcomes.
Data Scientist: Graduates with a strong data science background can enter the broader field of data science, working in industries such as finance, technology, and research.
Health Informatics Specialist: Graduates can become health informatics specialists, managing and optimizing electronic health records and healthcare information systems.
Researcher or Academic: Graduates interested in research or academia can pursue research positions or teaching roles in universities and research institutions.