Last Updated on December 11, 2019
Data science is a field in which an individual has to deal with system, processes & extraction of the insights from a large amount of data which is collected from the users.
The data is either structured or unstructured.
Data science is a continuation of data analysis fields which consists of data mining, statistics, predictive analysis.
The other areas of data science utilize a lot of theories and data techniques that are also included in different fields like Information science, mathematics, computer science, and statistics.
There are a lot of methods used in data science which includes
- Probability models
- Machine learning
- Signal processing
- Data mining
- Statistical learning
- Computer programming
The importance of a Master’s degree in Data science
A lot of graduates who study data science thinks that master’s degree in data science isn’t worth it, but the fact that companies hire people who have a Master’s degree is enough to change their mind.
Here are a few reasons why one should opt in for a Master’s degree in data science.
One distinct advantage of earning a sophisticated degree in data science: The Master’s degree candidate can have the chance to become expert within the knowledge management technologies that area unit necessary for knowledge professionals to grasp.
These technologies may be difficult to find out outside of standard work hours if the student’s current job doesn’t require the utilization of them.
Having an associate degree practiced educator teach these technologies is one amongst the most straightforward and simplest ways in which to achieve proficiency in them.
Increases your chances of getting hired
Data science has relevancy to nearly all industries that matter right now; thus, practiced and knowledgeable data science Master’s degree graduates are going to be assets to employers in several sectors they require to figure in.
Proficient data scientists are needed in finance, healthcare, tech, and very different business.
There are thousands of empty knowledge science jobs accessible for folks that will demonstrate they need the talents and credentials to fill them.
Several of those square measures desired, high-paying jobs with large Fortune five hundred corporations.
Experts at IBM are foretelling a shortage of 61,799 data science professionals by the year 2020.
They have conjointly unconcealed that 39 % of all data scientist jobs and excellent analyst jobs need a complicated degree — either a Master’s degree or a Doctor of Philosophy.
A master’s degree is a key to a good salary.
A person with a master’s degree would be paid more, and that is a fact.
Same applies in data science, an individual with a master’s degree in data science will be slightly paid more than a person with only a bachelor’s degree.
A lot of sectors, like healthcare, tech, business sectors, etc., pays more to a Master’s degree graduate.
By having a master’s degree will not only increase your chances of getting hired, but you will also get a senior level post in companies.
The company also assigns big projects to the master’s degree holder.
The students who pursue a master’s degree need to complete a capstone data science project which showcases the credibility of the student who successfully gets graduated from the program.
If the student completes the project and represents it nicely with full explanation increases his chances of getting hired.
This shows that the student is capable of using data and statistics to solve significant problems.
A lot of students ignoring the importance of a master’s degree prefer online courses on data science.
Online courses are excellent but will not provide you a certification that you have mastered the particular field.
A lot of universities offer a Master’s degree in data science one campus and off campus which will surely help you in getting a job as a data scientist at companies like Google, IBM, Microsoft as the demand for a data scientist is increasing rapidly in every sector.