The jobs that require or prefer a master's degree in a field like data analytics will be oriented toward supporting business decisions through the identification of pertinent data and its analysis. These professionals will often act in a critical decision making role or submit findings to others who will draw upon the data for major decisions.
Job Outlook and Salaries for Careers in Data Analytics
|Jobs||Median Salary (May 2019)*||Job Growth (2018-2028)*|
|Operations Research Analyst||$84,810||26%|
|Computer and Information Systems Manager||$146,360||11%|
|Computer Systems Analyst||$90,920||9%|
|Computer and Information Research Scientist||$122,840||16%|
Source: U.S. Bureau of Labor Statistics
General Coursework in Data Analytics Programs
When earning a master's degree in data analytics, you will typically be looking at completing approximately 30 credit hours, which can take about two years. During that time, the following are a few of the courses you can expect to take.
Predictive analytics coursework helps students gain a better understanding of the fundamentals of this type of analysis and how they're applied. Students are often expected to create predictive models and identify influential variables. They will explore the strongest variables and work hands on with various predictive models currently in use.
A course in statistics involves the use of data algorithms, and students will review various statistical methods. These classes assist students in gaining a stronger understanding of quantitative and mixed method research. Topics typically include hypothesis testing, confidence intervals, and regression analysis.
This course offers an introduction to the means by which Big Data is used in the business environment. Students explore structured versus unstructured data, compression of data, and the use of metadata. The class is designed to expose students to the collection and processing of the most common types of data used in today's business environment.
Students in these classes have the opportunity to learn about drawing upon data in the process of decision making. They will gather data, process numbers, and interpret data trends. Individuals in this course of study may practice formulating appropriate questions and creating the testable hypotheses that provide usable data.
Data visualization is a course that addresses the principles behind visualizing data sets. Students can learn how to effectively aggregate and communicate data. They may also explore the most common methods for data visualization and the types of data they will encounter.
Coursework in a predictive analysis master's degree program is heavily focused in mathematics and data processes, including statistics and data modeling. At the end of the program, students should be well prepared to apply data analysis skills to the decision-making process in a number of industries.