Master’s degree programs can help you break into a professional field or advance the career you already have. Find out if a master’s in data management is right for you.
Today, businesses rely on the wealth of data produced by their customers to make impactful, data-driven decisions. But as more and more data is produced daily, the need for professionals capable of managing it also grows.
One way to enter the field or advance your career is by obtaining a master’s degree in data management. But is a master’s degree right for your goals?
In this article, you’ll learn more about master’s degree programs in data management, including what they cover, how they compare to bachelor’s programs, and whether they’re worth it.
You’ll also find a list of jobs for which the degree prepares you and explore some cost-effective online courses that can help you develop job-relevant skills today.
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Kickstart your Career in BI Engineering. Develop job-ready skills for an entry level role in Data Warehousing.
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Database Design, IBM Cognos Analytics, Data Visualization, Linux Commands, Data Pipelines, Database Administration, Shell Script, IBM DB2, Database Management, SQL, Data Store, Extract, Transform, Load, Relational Databases, Apache Kafka, Bash (Scripting Language), Dashboard, Database Architecture and Administration, Apache Airflow, MySQL, Data Warehousing, PostgreSQL, Data Transformation, Data Modeling, Star Schema, Data Architecture, IT Automation, Disaster Recovery, Database Systems, Encryption, Data Storage Technologies, Performance Tuning, Role-Based Access Control (RBAC), Operational Databases, User Accounts, System Monitoring, Data Manipulation, Databases, Data Integrity, Command-Line Interface, Data Management, Database Management Systems, Linux, File Management, Automation, Unix, Unix Shell, OS Process Management, Software Installation, Linux Servers, Scripting Languages, Unix Commands, Network Protocols, Operating Systems, Data Lakes, Data Mart, Snowflake Schema, Query Languages, Data Validation, Data Quality, Data Integration, Data Cleansing, Data Security, NoSQL, Data Governance, Big Data, Apache Spark, Data Science, Apache Hadoop, Transaction Processing, Stored Procedure, Data Analysis, Microsoft SQL Servers, Looker (Software), Interactive Data Visualization, Data Visualization Software, Business Intelligence Software, Analytics, Data Presentation, Business Intelligence, Data Migration, Scalability, Real Time Data, Data Processing, Web Scraping
Businesses employ data management professionals because they ensure data is properly stored and easily accessible for business intelligence and data analytics purposes.
A Master’s of Science (M.S.) in data management or a related subject prepares degree seekers for a career working with big data, overseeing data security, and managing data solutions for businesses. Graduate programs focused on data and information management equip students with the technical skills they need to design data systems and to maintain them securely.
The exact curriculum that you follow will vary from one database management degree program to another. Nonetheless, you will likely take courses covering the following core topics:
Data management concepts
Data security and protection
Data project management
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Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 6 months.
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Tableau Software, Data Visualization, Machine Learning, Statistical Analysis, Statistical Hypothesis Testing, Sampling (Statistics), Descriptive Statistics, Data Ethics, Python Programming, Object Oriented Programming (OOP), Data Visualization Software, Data Storytelling, Feature Engineering, Exploratory Data Analysis, Data Science, Regression Analysis, Interviewing Skills, Data Analysis, Advanced Analytics, Data Presentation, Pandas (Python Package), Scripting, Data Structures, NumPy, Programming Principles, Algorithms, Data Manipulation, Business Analysis, Predictive Modeling, Artificial Intelligence, Project Portfolio Management, Machine Learning Methods, Variance Analysis, Statistical Modeling, Analytical Skills, Scikit Learn (Machine Learning Library), Business Analytics, Supervised Learning, Correlation Analysis, Probability & Statistics, Problem Solving, Communication, Personal Attributes, Applicant Tracking Systems, Prompt Engineering, Generative AI, Professional Development, Data-Driven Decision-Making, Stakeholder Communications, Workflow Management, Project Management, Random Forest Algorithm, Unsupervised Learning, Machine Learning Algorithms, Performance Metric, Decision Tree Learning, Classification And Regression Tree (CART), Performance Tuning, Statistical Inference, A/B Testing, Probability Distribution, Statistics, Probability, Technical Communication, Statistical Programming, Statistical Methods, Data Validation, Data Cleansing, Data Transformation, Data Processing, Data Quality
Master’s and bachelor’s degree programs in data management both provide degree seekers with the core skills needed to perform jobs in the field. However, the exact program that you pursue will likely depend on your current education level, available resources, and professional goals.
What skills do you want to build? A bachelor’s degree in data management will equip you with the skills you need to become a qualified data professional. In addition to gaining job-relevant skills like data analysis, data wrangling, data systems administration, programming languages, and IT fundamentals, you’ll also explore other subjects like natural science, math, history, and writing. A master's program is more focused and tends to be more project-based.
Do you already have a bachelor's degree? To enter a bachelor’s degree program, you will need a high school diploma or equivalent. They typically take four years to complete. To enter a master’s degree program, you’ll need a bachelor’s degree in either a related subject or be able to demonstrate that you have the prerequisite knowledge despite majoring in a different discipline. Master’s programs typically take one to two years to complete.
Are you looking for a well-rounded or job-relevant program? Much like a bachelor’s degree program, a master’s degree in data management will prepare you for a career as a data professional. Unlike a bachelor’s degree, however, a master’s degree will focus solely on developing job-relevant skills and advancing the ones you already possess.
There are few master's programs focused solely on data management. Instead, you’ll most likely pursue a Master of Science in Information Systems Management with a concentration in data management or a master’s in another data-related discipline.
Some of the graduate degree programs you might pursue to enter data management include:
- MS in Information Systems Management
- MS in Data Architecture and Management
- MS in Data and Information Management (DAIM)
- MS in Computer Information Systems
While a master’s degree is rarely required for data management positions, having one can make you a more competitive applicant and possibly increase your earning potential. According to Zippia, 67.8 percent of database managers possess a bachelor’s degree, while only 12.5 percent possess a master’s degree [1]. This disparity suggests that master’s degrees are not required to enter the field but that having one could possibly help you stand out from the pool of similarly qualified applicants.
According to research conducted by the US Bureau of Labor Statistics (BLS), workers with graduate degrees earned more and had lower levels of unemployment than those with less advanced degrees in 2023 [2]. At a glance, they found the following:
Median weekly earnings | Unemployment rate | |
---|---|---|
Master’s degree | $1,737 | 2 percent |
Bachelor’s degree | $1,493 | 2.2 percent |
Associate degree | $1,058 | 2.7 percent |
This combination of factors suggests that while a master’s degree is not required to become a data management professional, it can potentially improve your chances of employment and increase how much you’re likely to earn.
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Data Visualization, Unsupervised Learning, Plotly, Matplotlib, Supervised Learning, SQL, Interactive Data Visualization, Data Wrangling, Data Literacy, Data Visualization Software, Data Cleansing, Data Mining, Data Transformation, Generative AI, Professional Networking, Dashboard, Exploratory Data Analysis, Jupyter, Data Manipulation, Data Analysis, R Programming, GitHub, Machine Learning, Git (Version Control System), Data Science, Data Analysis Software, Open Source Technology, Statistical Programming, Cloud Services, Python Programming, Computer Programming Tools, Version Control, Application Programming Interface (API), Cloud Computing, Query Languages, Other Programming Languages, Software Development Tools, Big Data, Development Environment, Pandas (Python Package), Relational Databases, Databases, Transaction Processing, Stored Procedure, Data Synthesis, Data Storytelling, Predictive Analytics, Data Presentation, Natural Language Processing, Data Modeling, Data Ethics, Feature Engineering, Predictive Modeling, Regression Analysis, NumPy, Scikit Learn (Machine Learning Library), Data Pipelines, Data Import/Export, Data-Driven Decision-Making, Statistical Analysis, Dimensionality Reduction, Applied Machine Learning, Classification And Regression Tree (CART), Machine Learning Algorithms, Deep Learning, Digital Transformation, Artificial Intelligence, Scatter Plots, Histogram, Box Plots, Seaborn, Heat Maps, Geospatial Information and Technology, Interviewing Skills, Portfolio Management, Applicant Tracking Systems, Talent Sourcing, Business Research, Company, Product, and Service Knowledge, Job Analysis, Writing, Professional Development, Communication, Presentations, Problem Solving, Recruitment, Object Oriented Programming (OOP), Data Structures, File Management, Web Scraping, Programming Principles, Restful API, Computer Programming, Data Collection, Machine Learning Methods, Statistical Modeling, Data Processing, Data Quality, Business Analysis, Stakeholder Engagement, Decision Tree Learning, User Feedback, Analytical Skills, Peer Review
Data management is integral to ensuring businesses have a stable and reliable data source. Whether they’re designing the architecture of the databases that businesses use or maintaining the structure on a day-to-day basis, data management professionals are much sought after in the work world.
Here’s what you can expect to earn in various different data management-related roles, according to Glassdoor:
Data manager: $72,336 [3]
Data architect: $140,735 [4]
Database administrator: $105,310 [5]
If you’re interested in pursuing a career in data management, then you might consider taking a cost-effective, flexible course through Coursera today. With IBM’s Data Warehouse Engineer Professional Certificate, you’ll acquire the essential skills you need to work with a range of tools and databases to design, deploy, operationalize, and manage enterprise data warehouses (EDW).
professional certificate
Kickstart your Career in BI Engineering. Develop job-ready skills for an entry level role in Data Warehousing.
4.7
(804 ratings)
20,600 already enrolled
Beginner level
Average time: 4 month(s)
Learn at your own pace
Skills you'll build:
Database Design, IBM Cognos Analytics, Data Visualization, Linux Commands, Data Pipelines, Database Administration, Shell Script, IBM DB2, Database Management, SQL, Data Store, Extract, Transform, Load, Relational Databases, Apache Kafka, Bash (Scripting Language), Dashboard, Database Architecture and Administration, Apache Airflow, MySQL, Data Warehousing, PostgreSQL, Data Transformation, Data Modeling, Star Schema, Data Architecture, IT Automation, Disaster Recovery, Database Systems, Encryption, Data Storage Technologies, Performance Tuning, Role-Based Access Control (RBAC), Operational Databases, User Accounts, System Monitoring, Data Manipulation, Databases, Data Integrity, Command-Line Interface, Data Management, Database Management Systems, Linux, File Management, Automation, Unix, Unix Shell, OS Process Management, Software Installation, Linux Servers, Scripting Languages, Unix Commands, Network Protocols, Operating Systems, Data Lakes, Data Mart, Snowflake Schema, Query Languages, Data Validation, Data Quality, Data Integration, Data Cleansing, Data Security, NoSQL, Data Governance, Big Data, Apache Spark, Data Science, Apache Hadoop, Transaction Processing, Stored Procedure, Data Analysis, Microsoft SQL Servers, Looker (Software), Interactive Data Visualization, Data Visualization Software, Business Intelligence Software, Analytics, Data Presentation, Business Intelligence, Data Migration, Scalability, Real Time Data, Data Processing, Web Scraping
Zippia. “What is a Database Manager?, https://www.zippia.com/database-manager-jobs/.” Accessed January 29, 2025.
US Bureau of Labor Statistics. “Education Pays, 2023, https://www.bls.gov/careeroutlook/2024/data-on-display/education-pays.htm.” Accessed January 29, 2025.
Glassdoor. “How much does a Data Manager make?, https://www.glassdoor.com/Salaries/us-data-manager-salary-SRCH_IL.0,2_IN1_KO3,15.htm?clickSource=searchBtn.” Accessed January 29, 2024.
Glassdoor. “How much does a Data Architect make?, https://www.glassdoor.com/Salaries/united-states-data-architect-salary-SRCH_IL.0,13_IN1_KO14,28.htm.” Accessed January 29, 2025.
Glassdoor. “How much does a Database Administrator make?, https://www.glassdoor.com/Salaries/us-database-administrator-salary-SRCH_IL.0,2_IN1_KO3,25.htm.” Accessed January 29, 2025.
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