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Hello, my name is Carlos Hidalgo and today I want to talk to you about something that completely transformed my professional career: the Master in Big Data. You may have heard a lot about it, but you may not know exactly what a master's degree in Big Data is, what it's for, and if it can really change your life. I tell you this myself, who went from being a normal data analyst to leading impressive Big Data projects for multinational companies.
In this article I will explain everything you need to know about this training, from what it is, what you study, to how it can open the doors to the labor market. And yes, I'll also tell you why investing in a master's degree can be the smartest decision of your life.
Before I tell you about the master's degree, it is key that you understand what Big Data is. We are in an era where data is the new gold. The amount of information we generate every day is gigantic: from WhatsApp messages, to our online purchases, Google searches or the GPS in our cars. Big Data refers precisely to the ability to manage and analyze all that information efficiently and, above all, usefully.
This technological discipline allows companies to make better decisions based on real data and not on mere assumptions. We are talking about massive data, of such gigantic volume that can only be treated with specialized tools such as Hadoop, Spark or Python. But don't worry, that's what you're going to take care of if you dive deep into this world... with a good master's degree.
I'll tell you upfront: a master's degree in Big Data is no walk in the park. I don't want to scare you, but it's important for you to know that it requires commitment, dedication and a passion for numbers. The content of a master's degree in Big Data covers areas such as:
Machine Learning: Here you will learn to create systems that "learn" from data. This is key for applications such as recommendations on platforms like Netflix or Spotify.
Large Data Analytics: You will develop the ability to handle tools such as Hadoop, Spark and non-relational databases such as MongoDB.
Impact on business: You're going to study how all that information translates into business decisions and how Big Data is revolutionizing entire industries.
Programming: If you haven't touched programming much, relax, because you'll learn Python, R and other languages that are key to this field.
When I started working as a data analyst, it was clear to me that my future was in some technical area. But what I never imagined was that a master's degree in Big Data would radically change my way of looking at data and, of course, my career. After taking it, I went from dealing with small databases to managing international projects involving billions of records. I'm not exaggerating.
That's why investing in a master's degree was the best thing I could have done. If you have the opportunity to get into one of these programs, don't hesitate. Yes, the price can be high (some cost between 6,000 and 30,000 euros face-to-face and between 2,000 and 15,000 euros online), but the employability rate of those who complete these programs is brutal, exceeding 90%.
I already told you it's not easy, but I also want to tell you why it's so worthwhile.
Companies are desperate to hire people who know how to handle massive data. Professionals who master Big Data are among the most sought after. Google, Facebook, Amazon or even more traditional companies like BBVA or Santander, are investing millions in Big Data technologies and need specialists. The most common jobs are:
The average salary of a Data Scientist in Spain is around 45,000 euros per year, but in the United States or Germany, the numbers can exceed 100,000 euros per year. Does that sound low to you? I don't think so.
The world of Big Data is constantly growing. As artificial intelligence advances, handling massive data is becoming more and more necessary. So if you prepare yourself today, your professional profile will be very valuable in the long run.
Here's a golden tip: don't get carried away just by the name of the university or business school. Yes, it is important that it is a recognized institution, but the most important thing is that they offer internships and give you access to current technologies. Some programs, such as those of UAX or Universidad Europea, offer training in the most cutting-edge tools and a good employability service that will help you enter the job market quickly.
Make sure the program covers areas such as Machine Learning, Data Science, and above all that it is aligned with what today's companies demand. Not all masters are the same, so choose wisely.
If you want my honest opinion: yes, without a doubt. The Big Data is not just a fad, it is the present and the future. If you like data and want to make career in technology, this is your path. I'm not going to lie to you, it's not cheap, but the benefits are clear: sky-high employability, competitive salaries and continuous professional growth.
So, if you're thinking about taking the plunge, I encourage you to do so. Big Data has transformed my life, and it can do the same for yours.
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