8 Data Science Specializations: Learn and Compare
What Is a Specialization in Data Science?
Benefits of Specializing in an Area in Data Science
Data Science Specializations
Business Analytics and Intelligence
Data Science With a Computational Track
Data Engineering and Warehousing
Database Management and Architecture
Data Mining and Statistical Analysis
Managerial Data Science
FAQs About Data Science Specializations
Read the data science specializations descriptions above to learn more and help you decide the right path for you. Note that some specialities are highly technical while others will focus more on business and interpersonal skill sets. Your undergraduate education and work experience will also play a role in deciding which data science specialization career path is right for you.
Data science is considered an interdisciplinary field, combining computer science, mathematics and business elements. Some schools offer many other options for data science specializations, such as health informatics, geospatial analytics and demography. Many online master’s in data science programs offer flexibility in choosing electives, so you can tailor the curriculum to your interests.
You do not have to declare a specialization to pursue a master’s in data science. Many schools offer a general data science track. In some cases, you may develop an interest in a particular speciality after starting your general degree requirements. Elective courses offer the opportunity to build a broad base of knowledge or specialize in a concentration in data science.