Harvard Business Review once said: "The true value of data is like an iceberg floating in the ocean. Only a small tip of the iceberg can be seen at first glance, while the vast majority is hidden in the bottomless sea. Next. "
Data, as a new resource method, is reshaping human society. From personal social interaction, consumption, sports, and entertainment to enterprise sales, operations, and production, by mining and analyzing relevant data, people can enjoy a more convenient and efficient life.
"Those who understand data will win the world" has become a common consensus in the world today.
The value of data continues to increase. Whether it is an established veteran giant or an emerging unicorn company , they all show their enthusiasm for data value mining. such as network security, FINTECH, software engineering, etc. are all high-paying and high-demand professions. Of course, among them, [Data Science] and [Business Analysis] are the well-deserved kings.
These two majors deal with data, and they are both high-paying, high-demand and high-satisfaction jobs.
So, both are emerging majors under big data,
What are the differences between them? What is the focus of each?
Which field is more suitable for you?
Let the editor take you to study!
Data Analysis Data Sciences
As early as 2012, the Harvard Business Review listed data science as "the sexiest job of the 21st century." The richness of big data means that more and more organizations are looking to harness the power of data to drive their business and develop better practices.
In layman’s terms, [data science] is to analyze data to discover potential information hidden in the data. [Data Science] requires the application of deep statistics, modeling, programming and industry knowledge. Data Science uses modern tools and techniques to process large amounts of data to discover unseen patterns and derive meaningful information. uses statistical programming to design, develop and apply algorithms to manage massive data. Some of the core courses include: machine learning , big data, multivariate analysis, data mining, etc.
- Job Outlook
Data science is an exciting new field of research that has applications in many industries, such as health, energy, finance, manufacturing, and government. Students who graduate from the data science major can choose from a variety of careers in the future, such as data scientists , data analysts, data architects, government policy advisors, etc.
Job openings for data science and related roles have increased significantly over the past five years. The data science workforce is expected to grow faster than Australia’s overall workforce.
- Salary level
According to Indeed data, The average annual salary of Australian data scientists is about 100,000 Australian dollars! is a high-paying career ~
University of Queensland
Master Of Data Science
Course introduction:
The data science course at the University of Queensland provides advanced level computing, statistics, mathematics and business knowledge, This knowledge is applied in industry, government, society and Science domain, and possesses fundamental attributes related to data science, includes ethical use of data, legal considerations of data science, business communication, hands-on experience with relevant big data tools and techniques, and creative and disruptive thinking as applied to complex problems Thinking etc.
Admission requirements: Requires an undergraduate degree in mathematics, statistics, computer or other related fields (Information Technology, Computer Science, Statistics, Mathematics, Engineering, Physics, Actuarial Studies), GPA5.0/7.0 or above
Course duration: 2 years
New South University of Wales
Master of Data Science & Decisions
Course Description:
The two-year Master of Data Science and Decisions program is designed to meet the current and future strong demand for data scientists and data analysts. graduates will have broad and advanced data science knowledge and skills in the three areas of mathematics and statistics, computer science and economics, and through study in the four professional directions, they will gain more knowledge in one of the areas. In-depth data science knowledge. students will develop further research and communication skills through project work.
Admission requirements: Undergraduate background required (mathematics, statistics, computer science, data courses and decision-making, etc.), Level 3 courses with an average score of more than 70%
Course duration: 2 years
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business analysis BA
Business Analysis ( Business Analytics) is an emerging discipline. is based on business knowledge and uses mathematical programming as a means. It starts from data analysis and uses decision-making optimization to create value. It realizes the commercial application of Big Data.
[Business analysis] converts data into business insights and provides support for business decisions. It can be understood vividly as: it builds a bridge between IT technology, data analysis and decision-making, thereby driving strategic design and execution. business analysis can make data analysis work more predictive, thereby improving company financial performance, strategic management capabilities, and improving operational efficiency.
Business analysis is an interdisciplinary subject, including business + IT + statistics. Based on business knowledge, through data analysis, assist business decision-making and improve the level of corporate operations. Therefore, a qualified BA not only analyzes data, but more importantly, understands the business of the customer's industry, identifies needs and problems, and provides solutions. Some core courses of include: applied econometrics, applied predictive analysis, data visualization, business courses, etc.
- Immigration Opportunities
BA students have the opportunity to apply for skilled immigrants through ICT or other related occupational categories. Even if you don’t want to stay in Australia, you can still make great progress in finding a job back home.
- There is no limit to the money
BA has very good employment and salary prospects. There are many types of careers to choose from after graduation. are mostly related to business, such as business analyst , market analyst, product analysis, business strategy analyst, etc. . On the Australian job search online platform Seek, there are a lot of job vacancies for business analysis majors, and the average basic salary is also very attractive~
University of Sydney
Master of Commerce (BA direction)
The University of Sydney is the oldest university in Australia and is ranked first in the world. The ranking inside is also far ahead. University of Sydney alumni lead and serve in various industries across Australia and serve as the backbone of Australian society. The employment rate of University of Sydney graduates ranks first in Australia and fourth in the world.
This course at the University of Sydney is a subdivision under Commerce (Data Analytics for Business). Two-year students can also choose a double major.
Admission requirements: Undergraduate score of at least 65%+, no relevant background is required for the 2-year program.
Course duration: 1.5 years or 2 years (both have opportunities for further credit exemptions)
University of New South Wales
Master of Commerce (BA direction)
As one of the eight most prestigious universities in Australia, the University of New South Wales is famous for its business and engineering disciplines. . At the same time, UNSW is also the university with the most millionaire alumni in Australia. Among the top 200 companies in Australian Stock Exchange by market capitalization, most of their CEOs graduated from the University of New South Wales.
Business analysis is also a direction under the Master of Commerce at the University of New South Wales.
Admission requirements: Undergraduate score of at least 65%+, no relevant background required.
Course duration: 1.7 years (there is an opportunity to reduce it to 1 year)
