Is a Master’s Degree in Data Analytics worth It?  

16-Jun-2021

Let’s be straight! If you are planning to construct a productive path in a vast and broader domain of data science, you can strictly join or enroll in a Masters’ in Data Analytics degree program.

The learner must select a degree course that centers on data science - data engineering, data visualization, data modeling, machine learning, and other related high-tech matters of subject and theme!

Why so? Because, when you choose to get a Data Analytics certification course, you already associate yourself with the study of data and link yourself with its phenomenal science. Data science and data analytics are similar domains that deal with the analysis and probing of data. They only differ in the sets of predictive modeling and custom algorithms.

Getting a Masters’ degree is all worth it as - you readily get counted amongst many better-skilled professionals and you have a more profound understanding of various analytical procedures in business and data.

A post-graduate degree in data analytics can already level up you above many graduate data experts that are working in the professional IT sector. What you might miss is - a better professional experience and practical hands-on experience on executive applications, in a particular work setup.

This can also be done away with once you join an authentic and valid Data Analytics certification training, that enhances and boost your data analysis skills, competencies, and other aptitudes which are looked in by most premier and chief global technology-based companies in 2021!

Popular Post-Graduate Data Analytics/Data Science Training in 2021

Indeed, a Master’s in Data science can open up many ways for you to grab a whopping salary package! Be it Google, Apple, Samsung, Microsoft, or Amazon, almost all top organizations recruit experts that have an eye for detail, best efficacy, and performativity that matches desired data analytics results that a company tries to reach.

A professional who has got a Masters’ - has a better and deeper knowledge of data science concepts and theories - can automatically assist his/her subordinate workforce to change their actions, thought processes, and analytical employee frameworks to suit what is needed in the modern times!

This way, they can improvise, and revise what they have been doing traditionally. More up-to-date performance can help enhance the company’s overall efficiency. This might allow any technical organization to sweep in larger profits, as now they can reach better data insights and ordain profitable decisions in the interest of their clients, customers, buyers, and hence, the firm itself!

Modernization of technical skills is an inevitable necessity. This is the main reason why more upgraded, skilled, and competent professionals are in high demand by top major MNC companies.

Why Masters in Data Analytics?

Simply, because it is the pulse and beat of many learners’ ad professionals today; a gate that opens in a field that talks about the most high-paying career opportunity in the world of science and technology and allows you to pursue better and forward job choices!

A master’s degree or a post-graduate degree in data analytics prepares professionals and students with powerful STEM and business backgrounds. This way they get an opportunity to organize them professionally and step into major expert professional roles in - analytics, data science, business analytics, and business intelligence. Let’s have a look at the coursework of a Masters program in data analytics and see how it generally looks like:

• Advanced data analysis
• Data management
• Applied statistics
• Data visualization
• Programming
• Modeling techniques
• Reporting
• Systems architecture
• Statistical analysis
• Understanding large and small data sets

Technical topics like -

• Artificial intelligence
• Machine learning
• Data mining
• Information systems
• Data structures and algorithms
• Predictive modeling
• Visual analytics
• Software engineering

Where can a Master’s in Data Analytics Take You?

It takes you to every field and sector that you might know of or can encounter! Ranging from finance, information management, insurance, manufacturing, technology, scientific services to agriculture, energy, real estate sales, and entertainment, data analytics is a need of all! 

Jobs that you can target after Data Analytics Certification Course -

• Analytics architect
• Analytics specialist
• Analytics manager
• Analytics product manager
• Business intelligence analyst
• Big data analyst
• Business intelligence architect
• Data engineer
• Data analyst
• Data mining analyst
• Marketing analytics manager
• Data scientist

All of these reputed top management professional roles can be targeted by any student or a working professional who has authentic and an accredited data science certification and a master’s degree in data science and analytics.

If we talk of the time duration of the post-graduate degree in Data analytics and science then, almost all Master's programs demand learners to finish 30 credit hours. Majorly, post-graduate programs have a maximum full-time duration of two years.

Today, we can also find many data analytics master's degree courses that take a dedicated span of 12 months to finish with! Is not this more amazing? So, when are you planning to have your part of master’s in Data Analytics? We believe that it will be soon!

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