Master's Degree Programs in Data Analytics
Students looking to earn a master's degree in data analytics might pursue a Master of Science, Master of Business Administration, or Master of Professional Studies degree. Learn about common courses and admission requirements.
Types of Master's Degree Programs in Data Analytics
Master of Science in Data Analytics (MSDA)
MSDA degree programs usually focus on a specific path of study like business or computer science. This type of degree can lead to a career as a logistician or data analyst. Most programs expect applicants to have an undergraduate background in mathematics. Students can expect to take classes like data analysis and statistics over one or two years.
Master of Business Administration in Data Analytics (MBA)
Students enrolled in an MBA in Data Analytics degree program can expect to study for roughly two years. This type of program generally requires an average of 33 credits and includes classes like statistics, data analysis, and business leadership. An MBA in Data Analytics degree program typically aims to prepare students for management-level careers. Individuals with this type of degree might become a software developer or business intelligence manager.
Master of Professional Studies in Data Analytics (MPS)
An MPS in Data Analytics degree program often leads to a career as a data engineer or data scientist. Students applying for this type of program are typically expected to have a strong background in mathematics with a specific emphasis on statistics. Common classes include computer programming and data analysis. It takes roughly two years and about 30 credits to complete an MPS in Data Analytics.
Master of Arts in Statistics (MA)
It usually takes two years and 30 to 35 credits to earn an MA in statistics. Several graduate departments offer MA in Statistics degree programs with a focus on data analytics. This type of program usually emphasizes the theoretical aspect of statistics while still touching on the practical skills students will need in their careers. Individuals holding this type of degree often work as economic strategists or statistical analysts.
|Degree Program||Program Length||Program Requirements||Related Careers|
|Master of Science in Data Analytics (MSDA)||1-2 years||*bachelor's degree|| *Logistician |
|Master of Business Administration in Data Analytics (MBA)||2 years||*bachelor's degree|| *Software Developer |
*Business Intelligence Manager
|Master of Professional Studies in Data Analytics (MPS)||2 years||*bachelor's degree|| *Data Engineer |
|Master of Arts in Statistics (MA)||2 years||*bachelor's degree|| *Economic Strategist |
How to Earn a Master's Degree in Data Analytics
Individuals applying for admission to a master's degree program in data analytics are usually expected to have a background in mathematics. All programs require a bachelor's degree. Students can expect to take courses like data analysis, computer programming, and statistics.
This type of class generally presents individuals with different types of data sets and techniques for reading them. Students might learn about mining and data retrieval and how to use common frameworks like YARN, Hadoop, HIVE, and NoSQL. A class in data analysis often teaches predictive analytics and how to use data in decision making.
Students in a computer programming course might learn about different types of operating systems and get a foundation in programming languages like Python, R, and C++. They might learn terminology, algorithms, and theoretical concepts in computer science. This type of class often teaches students how to write functions that make sense of complex data sets.
Individuals enrolled in a master's degree program in data analytics will generally receive a background in basic statistics. This type of course will usually involve a deeper study of concepts like variability, correlation, and central tendency. Students might learn how to apply statistics across various disciplines, including using them to solve business problems.
A graduate-level class in probability often examines probabilistic theories and their applications in greater depth. Students might study concepts like random variables, expectation, covariance, and correlation in this type of class. They might also learn about random processes, probability distribution functions and vectors.
A business leadership course typically prepares students for managerial responsibilities in the field of data analytics. This type of class might teach individuals how to approach common business challenges. Coursework may delve into business ethics, strategic management and human resources practices.
Admission Requirements for a Master's Degree Program in Data Analytics
Admission into a master's degree program in data analytics requires a bachelor's degree. Most programs usually look for a background in mathematics courses like calculus, algebra, and statistics. A minimum GPA threshold is another common requirement, and applicants typically need to take the Graduate Record Examination (GRE). Other degree requirements might include an application fee and letters of recommendation.
A Master of Science and Master of Professional Studies are two common degree programs for students seeking a master's degree in data analytics. Most programs require a bachelor's degree, an academic background in mathematics, and GRE scores.