The business world is being revolutionized with Big Data. More companies are collecting and analyzing data on their customers, competitors, demand, risks, opportunities, etc. But there aren’t enough data analysts to fill such roles.
According to the Bureau of Labor Statistics, the number of jobs for data analytics professionals is expected to grow by 23% between 2021 and 2031. Many companies and recruiters alike are looking for data science or analytics talents.
A graduate degree such as a master’s in data analytics can prepare you for an exciting career in the field. It’s great for those who are coming from an IT or data science background as well as those who might be new to data analytics.
The benefits of completing a master of science in data analytics.
Although a bachelor’s degree can help to land an entry-level position in the field, you should also consider getting a graduate degree. First, a master’s degree helps to improve your technical, communication, and leadership skills.
With a graduate degree, you can easily qualify for senior-level roles even if you have less than four years of working experience. It also gives you a competitive advantage and allows you to earn more than those with bachelor’s degrees.
A master’s in data analytics can help to begin or advance your career as a data analyst, data engineer, senior database administrator, data architect, director of analytics, etc. You can work for businesses or government agencies.
What will you learn in a data analytics master’s degree program?
The prerequisite for a master’s in data analytics is majorly a bachelor’s degree. It could be from a technical or non-technical background. But you have to know math, statistics, and coding.
Data analytics can be quite challenging so you should be genuinely interested in the field. It’s also good to have problem-solving, analytical, collaboration, and technology-savvy skills.
A master’s degree in data analytics equips you with the statistical, programming, technology, and communication skills required to occupy a position as a data analytics professional.
Some specific skills that you will learn include Python, SQL, R, data mining and collection, data modeling, analytics, statistics, business intelligence, dashboards, visualization, etc.
How long does it take to complete a master’s in data analytics course?
A master’s in data analytics can be completed in a college where you attend physical classes. This is great for those who have enough time to spare or can easily commute to their school.
However, an online master’s in data analytics is a good option for working professionals who may prefer flexible classes. An online degree allows you to learn and work at the same time.
Most traditional and online colleges allow students to take part-time or full-time courses for more flexibility. But keep in mind that a part-time course will take longer to complete.
You can complete an online master’s degree in data analytics in as few as 12 months. If you have certain eligible transfer credits, you may be able to complete the program sooner.
Is getting a master’s in data analytics worthwhile?
Data analytics is a great career for anyone who wants to extract valuable insights from data so businesses can make informed decisions. This helps to discover patterns and trends, optimize processes, reduce costs, and increase profits.
Every business needs professionals who can make sense of data. You can work in industries such as technology, healthcare, marketing, etc. According to a 2018 study, data analysts with a master’s degree earn a base salary of $92,500.
Do employers prefer candidates with a master’s degree for senior data analyst positions?
A master’s degree can help you specialize and become an expert in data analytics. You can use your graduate degree to market your skills to employers and increase your chances of getting an entry-level or mid-level role.
When it comes to senior data analyst positions, some employers may focus on your portfolio or relevant experience. But others may require applicants to have a master’s in order to be considered for senior positions in the field.
Other ways to upskill in data analytics.
There are other options for learning or updating your data analytics skills. You can complete a boot camp or a short course. There are beginner, intermediate, and advanced-level data analytics courses to choose from.
If you’re already working as a data scientist or analyst, you can pick a course that specializes in machine learning or data structures & algorithms. Most online certification courses are at a cost but some are absolutely free.
Conclusion
Whether you obtain a master’s in data analytics or you chose to self-learn with short courses, make sure to build a strong portfolio of projects you may have worked on. It’s also a good idea to update your resumé and mention the skills you acquired during your degree or course.
Also Read: Real-Time Analytics For Business
