The University of Melbourne vs National University of Singapore

You'll enter the Master of Data Science with a background in computer science or statistics (or both), and the course will be tailored to build your skills in the other discipline. 

Core subjects will give you a solid grounding in data science, so you’ll have the technological and analytical abilities that are vital for managing and interpreting large, complex collections of data.

Beyond the core subjects, elective subjects give you the freedom to dive deeper into a specialist area of data science.

The Master of Science in Data Science and Machine Learning (DSML) is an interdisciplinary graduate degree programme designed to nurture the next generation of leaders in data science. It is jointly offered by the Faculty of Science’s Department of Mathematics and Department of Statistics and Data Science and the School of Computing’s Department of Computer Science. The Faculty of Engineering and the Saw Swee Hock School of Public Health are also our teaching partners.
The programme is supported by leading NUS researchers in data science as well as data scientists from industry, and offers multiple data science specialisations. Its curriculum incorporates interdisciplinary learning from fields such as computer science, mathematics and statistics, as well as data analytics and machine learning.

• Good Bachelor’s degree (Honours) from a reputable university.

The Master of Nursing Science (MNSc) from the University of Melbourne is a professional master’s degree that provides exceptional preparation for a nursing career. It is accredited by the Nursing and Midwifery Board of Australia (formerly Nurses Board of Victoria).

The Master of Nursing Science provides students a higher level degree with enhanced learning outcomes, while meeting the competencies identified by the Australian Nursing and Midwifery Council as necessary for practice as a registered nurse.

This Post-graduate Nursing Programme aims to provide you with a bird’s eye view of the complexities in the Singapore healthcare system, thereby enabling you to chart a clear path on acquiring key competencies required to manage these challenges. The goal is to stretch the students’ multidimensional abilities through knowledge gaining, case study discussions, clinical encounters, development of community projects and generate evidence-based solutions for healthcare challenges.

• An undergraduate degree in any discipline, or equivalent, completed not more than ten years prior to the date of application; or
• An older undergraduate degree and either more recent graduate study that demonstrates current capacity for graduate study or five years of documented relevant work experience.

• Possess a Bachelor’s degree in Nursing from a SNB accredited programme#;
• Have a minimum GPA of 3.20
• Have at least 5 years of continuous clinical practice as a Registered Nurse