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Why is Data Science the Future?

Posted on July 24, 2020 by Umer Fayaz  | Academics | Blog

There is a reason why distinguished global leaders like Bill Gates see Data Science as the future. The advancement of technology and the integration of digitisation as the driving force behind all modern businesses has led companies to bet their resources on building their analytics and data-driven decision making capabilities and gain a competitive advantage.

In a world where big corporations regularly devour smaller companies, it has become imperative for businesses to utilise the power of data to survive in the market, irrespective of their domains. Ranked at the top of the list of fastest-growing jobs by various ranking surveys, Data Science is expected to grow exponentially as a field in coming years, and consequently so are the careers in the domain.

Taught as the subset of Computer Science, Data Science goes hand-in-hand with Machine Learning, which is another fast growing domain of modern technology. The research suggests that the most compelling aspect of Data Science is that it will remain relevant for ages to come because of its far reaching implications that cut across sectors and functions.

Graduates specializing in the subject are easily hired by the top companies making it one of the most sought-after career options in contemporary times.

What to Expect from Data Science?

If you are looking forward to building a career in data science, then it should come as no surprise that it promises a great deal of growth and is among the highest paying jobs in the world.

According to a report by Seagate, around 5 billion users interact with data on a daily basis. Companies have started to rely on Data Scientists to help them with their businesses. Use of Data Science in the media and entertainment industry has brought about a revolution. Data is strategically used to create personalized suggestions and deliver content to targeted audiences. Similarly, the advertising and gaming industry have seen tremendous growth in generating unprecedented results. Companies like Amazon, Google, Microsoft, Walmart, Apple, Verizon etc are among the top recruiters for the Data Science graduates.

To become a data scientist requires a great deal of hard work and technical skills. Top universities globally have started to integrate the subject in their curriculum, both as a separate programme as well as combined with most statistics and economics courses, at both undergraduate and postgraduate level.

At Indian School of Business & Finance, the Graduate Diploma in Data Science is being offered under the academic diection of the London School of Economics, ranked top 10 in the world for economics, management and finance programmes, and one of the most acclaimed schools in terms of delivering application-oriented curriculum and nurturing experts in diverse fields.

The Data Science programme led by LSE is a 1-year full-time classroom learning course that equips students with the knowledge and practical skills by delving deeper into the subject within a short period of time. Preparing you for the competitive job market and giving you the academic knowledge enough to help you land in the top universities for higher studies, the postgraduate programme in Data Science at ISBF is designed in sync with global trends. Taking academic directions from the London School of Economics, the programme offers a wealth of knowledge and rigorous hands-on training.

Being an interdisciplinary subject, Data Science can be divided into three broad categories that include Business Intelligence, Machine Learning and Big Data. All three of the sub-categories are in great demand when looking at the job prospects. Data Science offers a myriad of options to build a career on. Some of the most sought-after careers in Data Science that offer lucrative salaries include:

  • Data Engineer
  • Data Scientist
  • Data Analyst
  • Data and Analytics Manager
  • Statistician
  • Data Architect
  • Data Mining Specialist

Choosing the right course is central to making a successful career in any field, and even more in Data Science since it’s still at a relatively nascent stage. However, the fruits of labor are tremendous and considering the exponential growth expected in the field, it’s the right time for aspirants to get

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