Is the Masters in Data Science Really Worth it?

Is the Masters in Data Science Really Worth it – Can you imagine keeping track of the speed of every ball thrown during a cricket match or what is the score of a player in any specific match, or can you now move a step without knowing a proper map? It is all possible with data science nowadays. Data science is revolutionizing almost every industry and its popularity is increasing day by day. It is considered one of the most popular and sought-after career options. LinkedIn says in a report, Data Science dominates its emerging job ranking with a whopping 37% hiring growth over the past three years.

Data science is now a crucial process in any large and small organization. It helps them in their business processes in order to save money and time. Data science enables companies to reduce wastage by analyzing different marketing channels’ performance and to pay attention to the solutions with the highest ROI (return on investment). It empowers organizations for better business decision-making via modeling, interpreting, and deployment. Stakeholders can make future roadmaps and trajectories with the help of visualizing data.

Enterprises and businesses can grow faster with data science tools and techniques; therefore, implementing data science is mandatory to innovate rapidly. As a result, there is a high demand for data science experts who can manage and solve data-related operations. Many people are looking for proper certifications like data science courses in Delhi and other data science courses that can help them understand the world of data and land their career in this domain successfully.

This article is a discussion about the master’s in data science and its worth; just have a look.

What is Data Science?

Data Science is still considered one of the most in-demand and promising career paths for skilled professionals. It helps data scientists to understand and upgrade past the previous/traditional skills of analyzing the huge amount of data, programming, and data mining skills. The main aim of data science is to identify useful insights for their organization so every data scientist must master all the skills, tools, and spectrum of the data science life cycle and possess a level of understanding and flexibility to get the maximum returns at every step level of the process. The Data Science life cycle includes different steps like Capture, Maintain, Process, Analyze, and Communicate data to perform the entire process. In addition, Data Cabling is a method of connecting multiple devices e.g PC’s, Printers, CCTV cameras, servers within an IT network.

Generally, data science includes mathematics, statistics, scientific methods, specialized programming, AI, and Advanced Analytics to uncover and explain the meaningful business insights hidden in data. The main process of data science is to prepare data for analysis, process and perform advanced data analysis, and present the reports to uncover trends and patterns and help stakeholders make informed decisions. It helps data scientists to identify relevant questions, collect a massive amount of data from different sources, manage the information, translate reports into solutions, and convey their point of view that can positively affect business decisions. So skilled data scientists require in almost every industry therefore, they are becoming increasingly valuable globally.

Is the Masters in Data Science Worth?

Many people nowadays are asking the same question – is a master’s in data science worth it? So many IT experts, data scientists are answering in affirmation. The data science industry has been witnessing a stable spike in popularity over the last few years, resulting in the master’s degree spring up. The main attraction for this field is that it does not require any formal education in the data sector. Pursuing a master’s degree can lead to attractive job roles and career opportunities that provide meaningful, important, real-world experience through capstone and research projects.

Let us have a look at some of the benefits of taking a master’s degree in data science.

Learn Upgraded and In-Demand Skills

Having a master’s degree in data science means a candidate must master programming languages such as R, Python, and other methodologies like data wrangling, data visualization, and machine learning. These master’s degrees can prepare you for future success by acquiring skills to capture, merge and analyze disparate types of data, identify patterns and trends with the data, and communicate reports. So all these in-demand skills can be gained through the slate of courses, and you can find opportunities to apply them to provide conclusions from real data sets.

It Increases Your Market Value-

Pursuing a master’s degree in data science can increase your market value and make you become more employable. A report by DiscoverDataScience.org says that “Data science is a field where career opportunities tend to be higher for those with advanced degrees.”

Earn A Higher Salary

A Master’s degree in Data Science can help you improve your position for job opportunities that can lead to an attractive salary. It also helps candidates gain more experience and develop expertise and skills. Many experts report that the average salary of a data scientist is $114,012 at the end of 2020 and can increase by 10% i.e. $125,790 till 2025.

Many Career Options

It is seen that information and data have become the key resources in a wide range of industries. So with the increase of digital storage and computing power, there are several new possibilities available in the data science field to explore your skills and expertise. A degree holder professional can get more and more opportunities than a non-certified one. These data experts are required in many sectors like banking and finance, energy, automotive, transport, healthcare, retail, and any domain you can think of.

These data experts are important for any organization to make a data-driven decision process. A master’s degree in data science can help you make your career as Big Data Engineer, Business Intelligence Architect, Business Intelligence Engineer, Statistician, Data Analyst, Data Scientist, Business Analyst, Data Visualization Specialist, etc.

High Demand

Today, data is everywhere, so data scientists are always in a high-demand. Recruiters can not find enough graduates to fill their job roles. Therefore, to address the demand, many reputed universities are increasing the number of masters in data analytics and data engineering. A Master’s degree in data science can help candidates to be in a desired and comfortable position and demand higher salaries.

In the end, we can say that no doubt anyone can pursue a master’s degree in data science, and it is worth it.