A Master’s in Data Science and a Six- figure Salary Go Hand in Hand

A Master's in Data Science and a six-figure salary are mutually exclusive in the present generation

While a bachelor's degree in math, statistics, computer science, or a similar field of study is normally required for data scientists, some companies prefer applicants with a master's in data science. These employers will pay more for this qualification in addition to preferring it. That is how a Master's in Data Science and a Six- figure Salary go hand in hand.

Graduates of data science master's programs can earn six- figure salary, beginning with base salaries, and incentives are not included in this figure. A large part of many of the best master's programs in data science emphasizes experiential learning. In many decision-making processes, students have practical experience transforming complex data into visual representations. Students gain collaboration skills through working on practical data science projects with academic and commercial partners.

Most data science master's programs have only been around for five to seven years, making them a relatively recent phenomenon. Before the availability of complete data science programs, many data scientists sought regular master's degrees in statistics or computer science. After graduation, you may have a variety of possibilities if you're considering how to find a career in data science and what a master's in data science pay might look like. There are many more high-paying jobs, but these are just a few to think about:

• Data Scientist – Many people join the profession as generalists in data science, typically at the IC-II level. Building models, preprocessing data, and validating data are the responsibilities of data scientists.
• Data Architect – The creation of data infrastructure is occasionally delegated to data architects. Typically, architects and data engineers work closely together.
• Machine Learning Engineer – Machine learning, deep learning, and AI specializations are available in several master's degrees in data science. Graduates with these degrees are more prepared for specialized ML positions like engineers, scientists, and AI specialists.
• Data Science Manager – A master's degree is sometimes a requirement for the position, even though master's programs aren't explicitly created to prepare you for management. You might graduate and be hired as a manager if you have prior managerial experience. Some of the highest salaries in the industry are paid to data science managers. 

• Data Scientists and Mathematical Science Occupations: $100,000 or more (IN USA) – Data scientists and those in related fields make an average salary of $103,930 per year, according to a BLS report from May 2020. You can also have the opportunity to make extra money depending on the sector.
• Market Research Analysts: $66,000 (IN USA).

Market research might be a difficult but rewarding place to start if you're considering how to break into the data science field. According to BLS data from 2020, market research analysts made a median yearly compensation of $65,810.

• Computer and Information Research Scientists: $127,000 (IN USA).

The median master's in data science income for computer and information research scientists with a degree in computer science or a related field was $126,830 per year in 2020, according to the BLS.

A master's degree in data science will help you progress your career and possibly earn higher pay while making you a competitive applicant for these roles. The completion of a master's program in data science demonstrates to potential employers not only your commitment to your studies but also your expertise in the industry.

You can access and analyze information in ways that others can't by obtaining essential skills in statistics, analytical techniques, programming, and business through a master's in data science. When figuring out how to get a job in data science, these abilities might make you stand out from other jobs.

Conclusion: 

In short, a master's degree, although not necessary to pursue a data science career, can significantly increase career earnings. We took a closer look to compare data science bachelor's vs master's salaries and provided some information about weighing the pros and cons.