8+ information about data science industry

Data science is a field based on applied mathematics and statistics along with information data (also known as big data). Data science uses techniques such as machine learning and artificial intelligence to extract meaningful information and predict future patterns and behaviors.

• Advancements in technology, the internet, social media, and the use of technology have all increased access to big data.

• The field of data science is growing as technology advances and big data collection and analysis techniques become more and more sophisticated.

Example:

• How can phone companies unlock screens, fingerprint apps, and facial recognition?

• How does Facebook automatically tag the faces of individuals?

• How does a platform like Facebook recommend videos to you,...

Ngành khoa học dữ liệu là thực hiện các kỹ năng phân tích dữ liệu, lập trình, kiến thức chuyên ngành đặc biệt. Vì vậy, bạn có thể cần phải học một số môn sau đây:

• Môn học trực quan hóa dữ liệu

• Học xác suất

• Môn học nhập môn Khoa học máy tính

• Môn học lập trình

• Môn học khai phá dữ liệu

• Môn học thống kê áp dụng

Bên cạnh đó, người học và làm việc trong ngành khoa học dữ liệu cũng cần am hiểu về các công cụ hỗ trợ cho quá trình tổng hợp, phân tích, diễn giải dữ liệu, cụ thể như sau: Công cụ lập trình (programming languages) - Python, R, Matlab, Công cụ truy vấn cơ sở dữ liệu - SQL, Công cụ thống kê - Microsoft Excel, Minitab, Hệ thống phân tích thống kê- SAS, Công cụ trực quan hóa dữ liệu - Tableau,....

Ngoài ra, mỗi trường có thể có các kiến thức đào tạo riêng theo quy định, tại Việt Nam, học sinh, sinh viên cần thực hiện một số học phần như sau:

Khoa học dữ liệu không chỉ giới hạn ở kiến thức kỹ thuật mà còn cần cả kỹ năng:

• Kỹ năng thống kê: Với ngành khoa học dữ liệu, bạn thường xuyên phải đối mặt với những con số và dữ liệu. Hiểu biết về thống kê giúp bạn dễ dàng thu thập và chắt lọc thông tin, đưa ra kết quả chính xác và nhanh chóng nhất.

• Sự nhạy bén trong kinh doanh: Mục tiêu của ngành Khoa học dữ liệu giúp người phân tích, đưa ra quyết định trong kinh doanh là chủ yếu. Sự nhanh bén trong kinh doanh, thị trường, người dùng sẽ hỗ trợ việc đưa ra quyết định có khả năng thành công cao.

• Tư duy phân tích, logic: Trong quá trình làm việc, bạn sẽ thường xuyên phải “đối đầu” với những con số, bài toán khó cần giải cần nhiều kỹ năng phân tích, suy luận để đưa ra giải pháp xử lý tốt nhất.

• Kỹ năng giao tiếp: Các phân tích về dữ liệu chỉ hữu ích khi bạn có thể khiến mọi người hiểu và thuyết phục họ đưa ra hành động. Đặc biệt bạn cần phải có kỹ năng giao tiếp khéo léo để giải thích, thuyết phục những người không chuyên về lĩnh vực này như khách hàng của bạn, đồng nghiệp,...

Tìm hiểu thêm:

• Khoa học máy tính: Tất tần tật điều bạn cần biết

After studying data science, you can become a data scientist or further study as Management/Research and Teaching.

Studying data science, you can work in the following fields:

• Become a Data Scientist

• Work as a Business Data Analyst

• Perform data analysis work

• Become a data array engineer

• Be a Data Architect

• Machine Learning Engineer

According to an analysis from the source, Is Data Scientist Still the Sexiest Job of the 21st Century? The Harvard Business Journal said that data science is "the most glamorous job of the 21st century". 10 years later, jobs in this field are also in high demand. Artificial intelligence (AI) is growing in popularity in business, and companies of all sizes and locations feel they need data scientists to develop AI models.

In 2019, job postings or data scientist searches on Indeed increased by 256%. In addition, the U.S. Bureau of Labor Statistics predicts that data science will outpace most other sectors between now and 2029. People who work in data science can earn up to $200,000 a year.

Specifically, the income of some data science majors recorded in August 2022 is as follows:

Note: The above salary table is for reference only, as salary may change depending on time and experience.

Currently, the United States is the leading country in data science training with 9 top schools. In addition, training schools in this field are also available in the top 9 countries from the United States, in addition to the United Kingdom and Singapore,... There are also many teaching universities in the country.

7.1. Data science schools in Vietnam

Currently, in Vietnam, there are about 16 schools with data science majors with some of the following information:

• Training Quality: Medium - Good

• Tuition fee: From 2,000,000 - 5,000,000 VND/month, about 20 - 60 million VND/year. The tuition fees of these schools also depend on the normal curriculum or high-quality programs, national education programs (High-quality, international programs cost many times more than ordinary classes).

• Duration: from 4 to 5 years.

• Job opportunities: Easy, if you are hardworking, have a good study and preparation process, you can definitely easily apply for a job after graduation.

7.2. Data Science Schools in the US - Best Data Science Training Places

Studying Data Science in the US is the choice of many students, students as well as parents around the world. Because the US is one of the countries with great potential in this field, it is known as a country with a technological boom.

• Training quality: Good, high practice ability while learning

• Tuition fees: Tuition fees depend on the level of education, community college system is about (7,000 - 12,000 USD/year), bachelor's program (15,000 - 50,000 USD/year).

• Study time: About 2-4 years depending on the training system (community college is 2 years, bachelor is about 4 years).

• Future career opportunities: Data science is the most promising career in the U.S. right now with a spike in demand for human resources. In addition, the data science industry not only serves digital technology but also applies in many other fields such as retail and healthcare,...

So if you have financial conditions and want to study abroad in the US, you should not miss the opportunity to study here!

7.3. Other Data Science Schools in the World

In addition, many other advanced countries in the world also invest and focus on training in data science such as the UK and Australia,.

• Training quality: Advanced countries have experience in the field of data science, and students receive intensive training combined with methodical practice.

• Tuition fee: From 5,000 USD - 50,000 USD/year.

• Duration: From 2 - 4 years, depending on the level of study

• Future career opportunities: If you study data science at reputable schools in these countries, you can easily stay and work or apply for a job anywhere.

Therefore, if you have financial potential and want to study data science abroad, you should not ignore some of the following schools in the world:

With the question of whether to study data science abroad, the answer depends on the financial capacity and interests of students and students. If you love this field, you should study abroad because currently in Vietnam, this industry is still in its infancy and has not been focused. Meanwhile, by studying abroad, students will receive many different competitive advantages such as:

• International degree: Currently, countries such as the US, Australia, Singapore, UK,... have a very good ability to train and develop human resources in data science. Along with that, an international degree is a prerequisite, important so that you can apply to multinational companies or continue to study higher programs later.

• Development of education: The development of science tends to thrive in the era of technology 4.0 and 5.0, which will become the top popular majors.

• Job opportunities: Not only do you have the most up-to-date degree and knowledge when studying data science abroad, but you can also gain language flexibility (usually English and the country you live in). As a result, you have a lot of advantages over Vietnamese students when applying for a job. In particular, most of the companies in the data science industry today come from developed countries around the world, where many schools are training in this industry.

For study abroad advice, don't ignore IDP Education - A unit with more than 50 years of experience in studying abroad consulting for students. IDP has accompanied more than 450,000 students to successfully study abroad at schools in Australia, the UK, the US, Canada, New Zealand, and Ireland.

IDP currently has a network of 80 international admissions offices in 30 different countries and is the official admissions representative of more than 600 prestigious schools in Australia, the US, the UK, Canada, New Zealand, and Ireland. In addition, IDP is also the co-founder and organizer of the IELTS test worldwide, which will best support you to have a suitable data science study abroad experience.

Hopefully, through this article, students, and parents have had more useful information about data science. If you have more questions to answer, please immediately contact the hotline at 1900 6955, IDP experts will advise you wholeheartedly. Wish students find the right major and school.

Learn more:

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