Is it worth doing Masters in data science
in USA?
Companies across the globe and not just in the US are constantly improving their products or
services and optimising their productivity. Data science has found its footing and relevance by
enabling businesses to meet and accomplish their organizational goals. Data science has made
all these possible and automated such processes by enabling companies to leverage the power
of data. Through data science, companies are able to make effective data processing and
interpretation which is essential for making precise and effective business decisions.
If you are considering pursuing a Master of Science in Data Science in the US and wondering
about its value and worth, you will find this post helpful and motivating as it will dissect the value
and significance of possessing an advanced degree like an MS in data science.
The demand for data science jobs has grown staggeringly in the US over the years. This
scenario is prompted by the massive adoption and recognition of the potential and application of
data science across various industries. Consequently, many aspiring individuals are seeking to
bolster their chances of such exciting career opportunities with an advanced degree like a
Master of Science in data science. There are several roles that demand specialised data
science skills across industries like finance, e-commerce, healthcare, marketing, and the
pharmaceutical industry.
Why pursue a Master of Science in Data Science?
Today, businesses across the world are majorly driven by technology and data. Hence, there is
constant data proliferation and there are heaps of data in all forms that need to be assessed by
applying technical skills such as that of a data scientist. The colossal volumes of data can only
become a valuable asset when data science experts apply their magical minds and skills and
generate information out of the data. This information is pivotal for businesses to survive and
thrive and to make impactful transformations in the organization and beyond.
This causes a huge demand for data scientists in the US as well as all around the world. In the
US, the Bureau of Labour Statistics predicts the data science job market to grow further up to
23% by 2030. Hence, it is safe to say that investing in a Master of Science in Data Science in
the US is worthy and will open doors to numerous career opportunities.
Data Science top career opportunities after an MS in Data
Science
Data Science top career opportunities after an MS in Data Science. Your MS in Data Science in
the US will pave the way to excellent career opportunities that pay lucrative salaries. Let us
explore the top career options in the US after completing your Master’s in Data Science degree
here below. Your MS in Data Science in the US will pave the way to excellent career
opportunities that pay lucrative salaries. The top career options in the US after completing your
Master’s in Data Science degree are:
Data Analysts
These data science professionals are responsible for the organization’s data security. They
assist the owners and stakeholders to have a complete understanding of the data by
interpreting and proffering predictions so that they come to an effective decision making.
Data Engineer
Data engineers are employed across various sectors. They are responsible for developing
robust systems for collecting, processing and transforming raw data into meaningful information
that data scientists and business analysts can interpret.
Database Manager
Database managers are those who help organizations maintain databases. They gather and
report valuable information in addition to fixing technical glitches in databases. These
professionals also optimize the collected data that can come in handy for future reference and
streamline systems both hardware and software systems for the same in congruence with the
company’s requirements.
Data Architect
Data architects are responsible for developing a robust computer database system that can be
easily accessed, that is resourceful and also highly secured. They also generate the blueprint
for developing, managing, and analyzing the database.
Machine learning Engineer
Machine learning engineers are those skilled at designing and developing algorithms powered
by Artificial Intelligence with the potential of assessing and making predictions to define machine
learning. They work with huge amounts of data to analyze, scrutinize, and organize them. They
also simultaneously run tests and streamline machine learning algorithms and models.
Principal Data Scientist
Professionals in this capacity are responsible for overseeing the whole data science team,
designing projects, and creating analytical models.
Data Warehouse Engineer
Data warehouse engineers are data science professionals skilled at developing ETL processes,
performance management, database cubes, and designing the table structure dimension.
Pursuing a Master of Science in Data Science in the US will prove valuable and beneficial for
you if you have the knack and the passion to traverse through the challenging field, earn
lucrative salary packages and be a part of the most exciting field.
