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What is the Scope of Master’s in [Data Science] in the US?

Given that important decisions businesses are now made after data analysis, which gives businesses a competitive edge in the market, data science is presently one of the most in-demand fields. Data scientists are in high demand all over the globe, making it a lucrative career path. As a consequence, over time, employment opportunities in data science have also steadily increased. In this article, we will go through the scope of pursuing a Masters in Data Science in US, the best places to pursue your degree, and all the necessary information you must know as an aspiring candidate.

What is Data Science?

Before we go into the details of the scope of Masters in Data Science in the US, let us define what is data science.

Data science is the subject of study that engages with vast volumes of data utilizing modern methods and instruments to discover undetected patterns, derive useful insights, and make business choices. Data science employs sophisticated machine learning algorithms to create predictive models. The information used for analysis can be presented in a variety of formats and originate from a wide range of sources.

Data science has risen as the most potential and in-demand career path for qualified professionals in data science, which is still a growing field. Successful data workers today are aware that they need to go beyond the conventional competencies of big data analysis, data mining, and programming. Data scientists need to possess a degree of flexibility and understanding to optimize benefits at each stage of the process and master the full spectrum of the data science life cycle in order to unearth useful intelligence for their organizations.

Why pursue a Master’s in Data Science in US?

Data Science is among the most developed market in development analytics. The demand for data scientists is growing rapidly, even in the US offering a wide range of scope and career opportunities.

• A data scientist is one of the most sought careers in the Nation, with a work satisfaction rate of 4.4.
• Employees in San Francisco receive salaries that are 26.4% higher than the national average, making it the highest-paying city in the USA for master’s degrees in data science.
• IBM Analytics Department projects the generation of new data science jobs around 61,799 new jobs in the USA.
• The United States of Labor Statistics predicts a 20% rise in employment in the field of data science in the US by 2028.

Overview of the Scope of Data Science

The scope of data science is expansive and extends across almost every industry. Let us discover the different career paths and scopes that data science opens up for qualified professionals.

Data Analyst

The protection of the organization’s data is the responsibility of the data analysts. Additionally, they aid owners and stakeholders in comprehending and interpreting data in order to make forecasts and choices. They also create and manage databases and systems in addition to these. To put it simply, they arrange info to make it useful. They gather pertinent data and use it to analyze historical patterns and predict future developments.

Data Engineer

Different industries employ data analysts. They create reliable systems that gather, analyze, and turn unstructured data into knowledge that data scientists and business analysts can understand. A data engineer’s main duty is to provide the company with pertinent information so that it can perform better. In addition, they use programming languages and tools to align data architecture with business needs.


A statistician is a specialist in charge of gathering pertinent and important data for research. Their function in academics and research is significant. They evaluate, arrange, and process data in the corporate world to support crucial business choices. In order to forecast future results, they also uncover historical trends and build a connection with the current market environment.

Database Manager

The databases of organizations are maintained by database managers. In addition to resolving database-related technical issues, they also gather and report important data. According to the needs of the organization, database managers also streamline hardware and software systems for the same and optimize acquired data for later use. They provide a productive system that is simple to use for storing, retrieving, and recovering valuable data.

Infrastructure Engineer

Infrastructure engineers, often referred to as cloud engineers, assist with the setup, upkeep, and bug-fixing of servers, systems, and cloud computing components within a company. They construct and oversee highly secure Virtual Private Networks and are experts in server virtualization technology (VPNs).

Data Architect

A data architect’s main duty is to create a reliable computer database system that is resourceful, adaptable, and highly secure. They produce the manual for setting up, running, and using the database. The complete database framework for an organization must be designed by data architects. The framework outlines the planning, development, facilitation, maintenance, retrieval, and archiving of all pertinent data.

Machine Learning Engineer

Artificial intelligence (AI) algorithms that can evaluate and make predictions are created and developed by machine learning engineers. In conducting tests and streamlining machine learning models and algorithms, these engineers must work with a lot of data to examine and arrange it. They must therefore possess superior statistical and programming abilities to fulfill their duties of creating and updating machine learning systems.

Principal Data Scientist

A lead data scientist is responsible for managing the data science team, planning initiatives, and creating analytical models. While they examine vast amounts of data in search of patterns and linkages crucial for data interpretation and modeling, their work entails a great deal of research and creativity. They analyze data statistics and market trends to assess an organization’s project management and product development processes.

Data Warehouses Engineer

A data warehouse engineer is in charge of creating the dimension for table structure, implementing ETL methods, database cubes, and managing performance. Data warehouse engineers take on the role of managers by daily supporting data warehouses and troubleshooting the system’s issues. Additionally, they are in charge of enhancing data organization and accuracy, and they are crucial in deciding how to use technology moving forward to improve the business’s data reporting and analysis.

Business Intelligence Developer

BI developers serve as a conduit between data and those looking for data. They are incredibly useful for those who need data insights but lack the SQL knowledge required for building queries. For their corporation, they use business intelligence tools to analyze and forecast data. To make data interaction and study more simple, they create straightforward tools and interfaces. They use data to support firms in identifying areas that require improvement, researching trends, and identifying potential dangers.

Eligibility criteria for Masters in Data Science in US

Candidates seeking admission in a Masters in Data Science in US must make sure they fulfill the following credentials:
• Bachelor’s degree in Engineering, Statistics, Economics, Computer Science, or any allied discipline.
• Statement of purpose mentioning why you want to study Masters in Data Science in US.
• Letters of recommendations
• Scores in GRE
• Work Experience minimum of 2 years
• English Proficiency (TOEFL or IELTS score)

Masters in Data Science in the US

The following are the top universities/colleges where you can pursue a Masters in Data Science in US:
Harvard University
John Hopkins University
Northwestern University
Georgetown University

Master’s in Data Science Salary

According to the data provided by ZipRecruiter, the following are the master’s in data science salary across the different regions in the US.
• New York – $132,826
• New Hampshire-$128,704
• California-$127,388
• Vermont-$121,599
• Idaho-$120,011
• Massachusetts -$119,234
• Wyoming-$118,644
• Maine-$117,802
• Washington-$116,118
• Hawaii-$115,887

According to payscale, the Master’s in data science salary in the US as per the profession is as follows:
• Chief Data Scientist- $176,000
• Data Architect – $121,000
• Data Science Manager- $137,000
• Data Warehouse Manager- $124,000
• Director of Data Science- $155,000
• Head of Data Science – $176,000
• Senior Big Data Engineer- $129,000
• Senior Machine Learning Engineer- $156,000

That’s about it on the scope of data science and its prospect in the United States. Kickstart your career plan with a Masters in Data Science in US and be a leader in the data science industry.