It's been a crazy time for the world's economy - pandemic to the looming recession, the future of the world is hanging by a thin thread. Difficult times have led to difficult decisions, with companies across the world temporarily suspending hiring and laying-off manpower. Nevertheless, if there is one sector that has withstood these changing times would be the Information Technology sector. It goes without saying, doesn't it?
Technology's exponential growth creates both benefits and difficulties for businesses. "How so?" you might wonder. Massive amounts of data are being produced every second, thus increasing the need for professionals who can handle challenging issues. To improve the overall functioning and efficiency of technology-abled processes, companies need skilled individuals to comprehend difficulties and offer reliable solutions.
If you are someone who is looking to get into data science, we bring some interesting snippets from a recent conversation with Mr. Peter Webb Mulan, the director of the International Recruitment University of North Texas, PETA, and Mr Daryl Fong, COO of AECC.
Simply put, data science is the study of information, including where it comes from, what it conveys, and how to turn it into a resource with the potential to assist organizations in decision-making, problem-solving, and formulating plans to enhance performance. It is an interdisciplinary subject that combines technological expertise with business acumen to inspire impactful change.
Owing to its growing popularity in recent years, many prestigious universities around the world, including those in popular study-abroad destinations like Australia, Canada, the United States, the United Kingdom, New Zealand, and Ireland, are offering postgraduate programs on data science that covers the important aspects of artificial intelligence, machine learning, business analysis, and cloud computing. In fact, Mr. Peters also added that the University of North Texas is one of the first few universities which started offering Data Science master's courses even before it became popular.
Let's take a look at the skills a student must possess and develop after completing a Data Science degree.
No matter what the future holds, these skills that you acquire while studying Data Science are high-value and transferable skills that add great value to any field/sector that sustains or develops in the future. Mr. Peter also mentioned that one of his good friends who works as a human resource manager at the prestigious Toyota industries shared similar views.
The course curriculum for learning data science is comprehensive because the work of a data scientist encompasses a wide range of responsibilities and draws from a wide range of disciplines. Don't let the list scare you because data scientists, like other professions, learn just as much on the job as they do in school. It is estimated that you would need six to ten years to thoroughly study all the courses.
You will learn:
As you work toward earning a Masters in Data Science after completing your undergraduate studies, these subjects could be presented at various difficulty levels. Given the nature of the subject, even after gaining experience working as a Data Scientist for a while, you will continue to learn new things.
On any given day your job as a data scientist would look like this:
In the interesting conversation that ensued on careers in Data Science, *Name* and *Name* summarised the top 3 reasons to consider applying to study data science in various prestigious worldwide.
With the growing need for managing, analyzing, and utilizing data, data scientists are paid handsomely. With the ever-increasing need for talented data science professionals, companies would be willing to compensate you fairly.
The size of the data science market is anticipated to expand to at least one-third of the overall IT market. Every organization is looking for people who can comprehend, analyze, and communicate data so that better decisions can be made making data science one of the most lucrative career choices abroad.
Since the last decade, data science has been one of the most in-demand professions. In 2021, this trend shows no signs of slowing down at all. Employment of data scientists is projected to grow 36 per cent from 2021 to 2031, much faster than the average for all occupations.
The amount will vary based on the country, college, and disciplines you decide to study. However, the cost of studying data science at the colleges mentioned above ranges from roughly $22,000 to about $75,000. The average cost of doing Data Science courses at any reputed university abroad is about $53,000.
Apart from the tuition fees, the cost of living, food, transportation, entertainment, and a few other everyday expenses will be part of your additional costs. Depending on the destination and the university you choose, this sum will change. Your living costs will increase if you decide to live in a city. In the same vein, it will cost you far more to study in the US, UK, or Singapore than it will in Canada, Germany, or the Netherlands.
If you are looking to enter the world of data science and want tips on selecting the right university and ensuring whether data science is really the right choice for your Master's, Pieter Vermuelen and Daryl Fong recently discussed all of it on a podcast. Do listen to it for free here - Listen Now
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