There’s no stopping technology from becoming an integral part of our lives. And for that reason, the global technology industry is on its way to reaching $5 trillion in worth this 2019. Whether you dream of working with giant techs like Google, Apple, or Microsoft, or looking to build your own start-up and make your own history, studying data science is one of your stepping stones to success.
What is Data Science?
Data science is a multidisciplinary field that deals with extracting knowledge and insights from big, unstructured data sets. It is multidisciplinary because it employs techniques from many fields, such as mathematics, computer science, programming, information science, and statistics to derive meaningful insights.
Data analysis is foundational to all kinds of business, especially in the tech industry. By learning how to analyze data, you are able to understand varying business issues and help your company or organization come up with the best solutions. What’s more, you could also help build tools that can automate critical business processes.
Why Study Data Science?
Considered the sexiest job of the 21st century, data scientists play a major role in driving innovations in the business world.
Data science is among the in-demand courses today. A master’s degree in data science, similar to other computer science and IT courses, can cost over $40,000 a year if you’re attending a formal school or university. Luckily, scholarships and financial aid are available. However, you want to be careful when choosing financial programs to avoid scholarship scams. Alternately, you can finish the course from an online education program. Many universities now offer online data science courses which are not only cheaper but have more flexibility.
Graduates of Data Science handle high-impact roles in tech companies. They typically work as data engineers and architects, business analytics specialists, data visualization developers, Business Intelligence (BI) engineers, analytics managers, and statisticians.
If you’re looking to have a lucrative and rewarding career in the tech industry, you should consider studying data science.
Here are the reasons why.
A Degree in Data Science Prepares You for High-Impact Roles
If you like a job that is interesting, challenging, and high-impact, becoming a data scientist might be perfect for you. Data scientists are problem-solvers. Think of them as the motherboard of a computer. They do all the complicated stuff to make sure the machine runs smoothly.
Data scientists analyze data to study trends, predict outcomes, and present the best solutions to varying challenges that tech companies can encounter, from declining employee retention rates to product development delays, staffing issues, cash flow problems, marketing management, and so on.
The Demand for Data Scientists is on the Rise
The shortage of data scientists has become a major concern not only in the tech industry but in other sectors as well. According to the 2018 LinkedIn Workforce Report, there were “acute” shortages happening in the country, particularly in giant tech hubs like San Francisco, Los Angeles, and New York City, amounting to 151,000 unfilled data scientist jobs. Meanwhile, a survey of tech companies found that 46% of CIOs suffer from data analysis skills shortage.
What does this mean for you? It means greater opportunities. Completing a course in data science can most likely assure you of a spot in any company you apply. If you are currently working as a data analyst, you can level up your career by taking a master’s degree in data science. By doing so, you are preparing yourself for high-value roles.
It’s a Lucrative Career
There’s been an unconfirmed story about a Google developer who makes $3 million a year. Whether it’s true or not, the fact remains that data scientists are among the highest-paid professionals in the country. According to Glassdoor, data scientists earn an average of $118,709. If you get to work for giant techs like Google as a developer, you could make as much as $145,000 per year. If you’re a data engineer, your salary rate can go as high as $165,000.
You Benefit from a Structured Education Program
Sure, you can learn data science at work or by reading books, watching free videos online, or reading blogs and articles. But taking a formal education gives you many more advantages. One of which is a structured learning approach. Through it, you learn data science from bottom to top in a logical, organized manner. You won’t skip important lessons or crucial steps.
You Learn About the Newest Tools and Technology
There are hundreds if not thousands of data science tools and software out there. Through a data science course, you will get access to some of the most advanced data analytics tools that will make you more efficient at your job. You can also obtain certifications following comprehensive training programs for specific tools or software. This is such a great advantage when you apply for a job or even put up your own startup.
You will Have Many Career Options
If you have completed data science and currently employed, you should know that learning never stops. The tech industry is rapidly changing and growing. And the best way to stay ahead of the competition is to continuously upgrade your knowledge and skills. A master’s degree in data science will definitely open the door to a host of opportunities. As mentioned earlier, data is not just important for tech companies. It is also foundational in virtually all industries. Data drives decisions. It drives actions. And it fuels growth. As a data analyst with a postgraduate degree, you are doubling (maybe even tripling your job options in various fields).
If you dream of having a fulfilling career in the tech industry or establishing your own startup, studying data science can give you so many advantages. Data science is a multidisciplinary discipline that enables you to derive valuable information and insights from scattered pieces of data.
A data science course provides you a structured study program, along with access to some of the best tools and systems for harvesting and analyzing data. You can also obtain certifications that you can use as credentials when applying for a job or starting your own business.