Detailed explanation of application for data science major in Monash University, Australia

Students who want to study in Australia should first consider how to choose their major. There is a very high-quality major in this country, which is also a hot major in recent years, that is, data science major. The following is a detailed description of the application for data science major of Monash University in Australia, which I brought to you. I hope it will help you.

The major of data science requires students to learn to apply theory and data principle to study computer-based cloud computing. In recent years, the world's informatization has developed very rapidly, and the face of data is changing with each passing day, from traditional relational database to high-tech data management, such as Nosql, Newsql, relational cloud and so on. These are excellent industry prospects derived from data specialty. Monash University, a major, teaches students to master the ability of data management, analysis and processing, so that students have a natural sensitivity to data and explore potential, thus cultivating students' own creative data thinking. The following are the admission requirements.

I. Admission requirements

Academic:

In this respect, students' 985/2 1 1 is not divided, but the average GPA is above 75%.

Background:

In this respect, it is the background of hardware and software. It is better to have two students, and it is ok to win professional-related awards or participate in major awards.

Language:

IELTS, you have to pass 6.5, and every requirement is stipulated, including writing 2 1, speaking 18, reading 13 and listening 12.

Second, the employment direction.

Data analyst:

This tendency is to collect and sort out data and do some visualization processing, but it requires higher programming for students. From this perspective, this employment direction is suitable for students who like to deal with data.

Data architect:

There is a saying that programmers like to be data architects, because employees in this industry should have a very deep understanding of the mainstream data systems, principles and operations in their fields, and their ability to abstract objective things is also very strong. They are suitable for students in this industry, like to centrally integrate and maintain data, and often use data as solutions.

Data Engineer:

This position is a bit like. The daily work is to check the management data and facilities to ensure the safe execution of the commands of users and data. This is a better choice for students who like to be responsible.