Nowadays, we’re hearing those terms “data science”, “the Industry 4.0” or “Big Data” with the captivating description “the sexiest job of the 21st century” so often that many of us may start towonder what data science is, or why people care so much about them. Let’s figure out the meaning of those terms and figure out the truths behind Data Science with VNU-IS.
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The Sexiest Job of the 21st Century
Over a decade ago, Hal Varian, the former chief economist at Google, had stated in an interview: “I keep saying the sexiest job in the next ten years will be statisticians. People think I’m joking, but who would’ve guessed that computer engineers would’ve been the sexiest job of the 1990s?”.
At that time, the term “data scientist” was not used, but he really emphasized the importance of the nowadays data scientists’ work: “The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades.”
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As for the data, it is known as the “raw” information that we have to collect, examine and utilize it to help make decisions for our business. Often, we see data as a number or fact that is stored by a computer. Nowadays, with the rise of the Internet of Things and Big Data, many corporations and businesses are seeking for someone who will have a professional approach to this advanced data, making it more useful and working more effectively. Therefore, data scientists are playing a vital role not only in a business but also in the development of many industries, along with the beginning of the new era: Industry 4.0.
Data Scientists: What Do They Do?
Data Science, as a study of data with a scientific approach, focusing on the work of manipulating the data & utilizing them at most. The interpreted data is often used to create valuable insights to help businesses make better decisions or predictions. For example, a business can forecast the new buying trend from the data that was provided by the customers, of course, with the help from data scientists to make things understandable.
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Often, a data scientist is responsible for two main tasks: (1) Gathering and analyzing large sets of structured and unstructured data, and (2) Interpret the results to create actionable plans for businesses or organizations. The tasks might vary in specific positions in some companies or projects, and be described in details, however, anyone who wants to pursue a job as a data expert will be expected to fulfill these missions, as a translator between raw information and business.
You might come up with a question: What are the requirements to be a data scientist? We can name some of them below:
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obtain the core knowledge in computer science, statistics, mathematics or engineering
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gain some technical skills including: programming with Python, using SQL Database/coding, machine learning/AI, etc.
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perform the analytical and communication skills
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acquire the foundation and practical tools of analytics. As for data science, R is generally preferred.
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demonstrate excellent critical thinking, teamworking, conflict-resolving skills. Data storytelling is also a plus
As you can see, a data scientist is not only an expert in the field of technology, programming or dealing with data-related issues, they have to build a good non-technical skills in order to work with other people in a project or a company better and more effectively.
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Job Potential
Nowadays, in many domains, people are getting to explore the potential of Big Data and their exponential benefits in a variety of aspects in our lives, especially in the business sector. Along with that, the high demand for well-qualified Data Scientist as well as relevant job titles makes the related programs become captivating and valuable for any students who are seeking a chance to pursue a potential job in their favorable field - as Big Data is seeping into almost every domain in our lives.
In 2018, the World Economic Forum published its predictions for the future workforce through 2022. In it, the WEF identified that by 2022, 85% of companies will have adopted big data and analytics technologies. WEF also found that 96% of companies were definitely planning or likely to plan to hire new permanent staff with relevant skills to fill future big data analytics related roles. In the US, the average annual salary for a data scientist is over $110.000/year, according to glassdoor.com
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Here are some job titles recommended for Data Science graduates. However, with the unprecedented growth of technology and the growing demand in the field of big data and analytics, anyone who is interested in data science with a good background will be more likely to find the most suitable position for them, especially data scientists.
Where should I study Data Science in Vietnam?
At Vietnam National University, Hanoi - International School, students will attend updated lectures, comprehensive study materials with a lot of chances to intern for multinational corporations in collaboration with our school. As a #1st ranked university in Vietnam, VNU-IS is a pioneer in activities to maintain and develop strong cooperation relationships with many domestic enterprises as well as FDI enterprises.
Source: engineering.indeedblog.com
Many students choose a Data Science program because of the variety of career options. As you can see above, many job titles related to data science, including data scientist, share the same knowledge background. At VNU-IS, students can take a look at many interesting programs that might not only suit them best but also help them fulfill all the future career demand. See our Bachelor program of Business Data Analytics (BDA) here.
For further information, please contact:
Ms.Linh Dang
Email: linhdd@isvnu.vn, admission@isvnu.vn
Hotline: +84 974140166
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