The purpose of data analysis is to reduce uncertainty: by moderating it, we can make wise decisions. In business and research, well-versed decisions are based on the analysis of appropriate activities that must be measurable. The purpose of these activities is to seek to increase revenue, maximize profitability and reduce risk.

Why is data science becoming so much important?

The data science is a sector that is gaining major importance because it shows trends and produces insights that companies can use to make more targeted decisions and create more innovative products and services. Data forms the basis of innovation, but its value comes from the information that data scientists can obtain and act upon.

As modern technology it has enabled the creation and storage of increasing amounts of information, the volume of data has increased dramatically. It is estimated that 90% of the world’s data has been created in the last two years. So, as you can see, the vast amount of data collected and stored through these technologies can bring transformational benefits to businesses around the world, but only if we are able to interpret them. That’s where data science comes in.

Not only important, but the priority

Data science has become a priority for most companies, which are investing heavily since these technologies represent the most strategic resources for the companies and therefore, they are attracting most of the new investment.

Despite promises and huge investments in data science teams, many companies are not fully exploiting the value of the data at their disposal. In their race to hire talent and create data science programs, some companies have come across inefficient workflows and different people using different tools and processes that don’t work well together. Without more structured centralized management, top management may not get a return on their investments. This chaotic environment presents many challenges.

Specialize in data science with BBS

That’s why highly specialized training for those who have developed a deep curiosity about data processing is necessary and almost required. The good news is that there is also the possibility to perfecting it to help and influence the decision-making processes of companies.

A master in data science could be the best opportunity: through the application of the most innovative analysis methodologies in use and the use of a wide range of tools, the master lays the foundations to transform raw data into an operational indication useful to solve the problems of companies that require tactical or strategic decisions.

The Master in Data Science at BBS of Bologna Business School, allows you to work and build your career in the business of Big Data and create value. Its ability to interpret signals and produce results prepare you for a career in medium and large companies as well as in consulting firms, developing the ambition to occupy roles of strategic importance. The course consists of classroom lessons held in English and 600 hours of internship, for a total of 12 months.

The training involves a mix of skills, which aim to bring out the three souls of which it is composed: the economic business, computer science, and finally analytical speculative or statistical mathematics. One of the good things of this master is that it has the prerogative of not limiting itself to the use of software from a specific manufacturer, but in fact it allows you to experiment with different programming and analysis tools, especially open source.

We are sure that with this article we have clarified your doubts about the profession of Data Scientist; now you just have to start to specialize and take advantage of the numerous job offers in the field of Data Science.