As the digital age began, it brought with it a completely new era: the era of vast information. It was accompanied by the need to analyze data in order to identify hidden patterns across diverse businesses in order to decode solutions and provide strategic analyses. This is referred to as Data Science. Today, we will discuss the various Masters in Data Science programs, the benefits of studying such a program, and employment opportunities.
What exactly is a Masters in Data Science?
Today, data science is a vital part of many businesses, which is why a master’s degree in data science is one of the most sought-after programs. Professional data scientists are in high demand all around the world, so what exactly is the job profile of a data scientist? They basically assess the industry questions that need to be answered and then analyze the necessary data.
A data scientist’s work is a high-skilled position that demands both analytical ability and acute business acumen! A data scientist should also be able to efficiently do the following verticals:
- Mining of data;
- Data classification;
- Modelling of data;
- Summarization of data.
A data scientist must be familiar with the aforementioned methods in order to analyze the data of unanswered issues in diverse sectors. Furthermore, as more data becomes available, this necessity is no longer limited to multinational enterprises and technology firms. Today, many industries of small, medium, and large enterprises are looking for skilled data scientists!
A data scientist’s employment is one of the top five jobs today, according to Glassdoor. Completing a higher education degree, such as a Masters in Data Science, is one approach to begin a career as a data scientist.
What are the benefits of studying masters in data science?
Pursuing higher education in the field that you want to work in is always useful, and the same is true for master’s degrees in data science! This program provides numerous benefits, which are described below:
- Currently, many data scientists in the sector are not professionally qualified. A master’s degree in data science program will familiarize you with industry jargon and provide you a competitive advantage. Not only that, but it prepares you to advance in the industry, particularly in data analysis, machine learning, and web mining.
- You become easily and readily available to the industry by getting a master’s degree in data science. After graduation, you are deemed an industry professional, and you can then be of true assistance to the sector.
- You gain an advantage in negotiating a higher compensation. Completing a Master’s program in data science provides you an advantage in negotiating a raise and a higher income.
What are the pre-requisites for a masters in data science?
Various universities have their own prerequisites, however one of the prerequisites for a Master course in Data Science is to have an undergraduate, i.e. a Bachelors’ degree, in one of the following fields: Science, math, physics, information technology, computer sciences, or any other area connected to these are all acceptable.
Although any of the aforementioned subjects may be required, a degree in Information Technology and Computer Sciences may be advantageous.
In addition to the bachelor’s degree, institutions may demand you to take the GRE, TOEFL, and submit SOPs, LORs, essays, and other official documents.
What are the career prospects of a Data Scientist?
Businesses frequently hire data scientists to collect, manage, and analyze massive amounts of unstructured data. The findings are then disseminated to decision-makers and strategists. This procedure is required by many industries around the world! A data scientist’s job is highly technical and demands industry professionals to be incredibly skilled, which is why data science professionals are compensated with extremely competitive pay.
According to Glassdoor Statistics, the typical base salary for a data scientist will be close to $120,000, and demand for data scientists will increase by around 28% by 2020.
