
Career Prospects After Completing an MS in Data Science in the USA
At present, almost every job market needs data science experts, including, obviously, technology. The world’s biggest tech giants, including Facebook, Google, Amazon, Netflix, Apple, etc, are among the top companies hiring data scientists. An MS in Data Science in the USA equips you with the advanced skills and knowledge needed to excel in such high-demand jobs.
If you want to learn about the course structure of an MS in Data Science in the USA, schedule a meeting with our team. Read on to learn more about the career options available after an MS in Data Science.
7 Job Opportunities After MS in Data Science in the USA
1. Data Scientist
Average Annual Salary: $123,300
Typically, data scientists search, clean, and organize data for companies. Data scientists should be capable of analyzing huge quantities of complex raw data and processed information to find patterns that are useful to a company. They also need to analyze data to help companies make strategic decisions. Despite the similar job roles, the work of a data scientist is far more technical compared to data analysts.
2. Machine Learning Engineer
Average Annual Salary: $150,300
This is one of the most lucrative and fulfilling career choices after an MS in Data Science in the USA. Machine learning engineers develop data funnels and provide software solutions. They need to be statistics and programming experts and have a strong knowledge of software engineering. They’re responsible for designing and building machine learning systems. Additionally, they also run tests and experiments to supervise the performance and functionality of these systems.
3. Statistician
Average Annual Salary: $87,300
You can work as a statistician after completing an MS in Data Science in the USA. Statisticians typically collect, analyze, and interpret data to identify trends and relationships that can be used to make informed decisions by organizations. Statisticians also create data collection processes, communicate these findings to stakeholders, and advise on organizational strategy.
4. Business Intelligence (BI) Developer
Average Annual Salary: $126,924
BI developers create and build strategies to help business users find the information necessary to make quicker, more efficient, and informed business decisions. BI developers are highly data savvy and use BI tools or build custom BI analytic applications. These applications facilitate the end user’s understanding of their systems.
5. Data Analyst
Average Annual Salary: $102,183
This is also an excellent career choice after an MS in Data Science in the USA. Data analysts typically work in sectors like telecommunications, finance, manufacturing, construction, and many other prominent industries. They gather and assess data relevant to the client’s requirements. They also test and assess new data sources and data collection methods. Simultaneously, data scientists also interpret data and report their findings to their clients.
6. Applications Architect
Average Annual Salary: $150,580
You can work as an application architect after an MS in Data Science in the USA. They monitor how the applications used within a business behave, how they interact with each other, and how they engage with users. Applications architects also focus on developing the architecture of applications. This includes developing components like user interface and infrastructure.
7. Data Architect
Average Annual Salary: $142,960
Data architects develop data solutions for performance. They also create analytics applications for multiple platforms. Along with creating new database systems, data architects also search methods to enhance the performance and functionality of existing systems. Additionally, they allow database administrators and analysts to access the system.
Some other excellent career options after completing MS in Data Science in the USA include Database Administrator, Enterprise Architect, and Big Data Engineer. Data science experts are highly valued in the job market, and trends indicate that they’ll continue to be in high demand in the future. Need more information on the job prospects after completing MS in Data Science in the USA? Contact our team at Imperial Education Overseas Consultants today for more details on careers after MS in the USA in Data Science!
FAQ
The tuition for an MS in the USA in Data Science depends on the institution and your course format. Typically, the total cost ranges between $32,000 and $129,000, with an average of around $55,000.
An MS in Data Science in the USA typically takes between 1 to 2 years to complete, depending on your coursework, university, and whether the program is full-time or part-time.
Typical subjects of an MS in Data Science may include:
Machine Learning
Big Data Analytics
Statistical Methods & Probability
Data Visualization and Communication
Some of the best universities to study for an MS degree in the USA in Data Science include the University of Arizona, the University of North Texas, and the Rochester Institute of Technology.