Business Intelligence

The Business Intelligence Micro-credential, is online and offers six graduate credits. This micro-credential is tailored for healthcare sector professionals, providing the essential skills required for statistical analysis and data warehousing in a healthcare context. You will learn to extract patterns and trends from vast healthcare datasets, so you to make better informed, evidence-based decisions and strategically plan for various healthcare scenarios. The curriculum is designed to harness the power of data-driven insights, focusing on optimizing service delivery and enhancing the efficacy of performance monitoring in healthcare settings.

Who can benefit from learning business intelligence?

The Business Intelligence Micro-credential focuses on the application of data mining techniques in the healthcare sector. Healthcare professionals can use these skills to extract and interpret vast datasets, leading to significant improvements in patient care and the efficiency of healthcare operations. Data mining allows for the discovery of patterns and correlations in healthcare data, aiding in the prediction of patient outcomes, identification of disease risk factors, and the formulation of personalized treatment plans. These capabilities are fundamental in enhancing patient satisfaction and reducing costs.

For data scientists and IT professionals expertise in data mining can lead to career advancement opportunities. The need for professionals capable of navigating and interpreting complex healthcare data is growing, especially as the healthcare sector becomes increasingly data-centric. A report by Mordor Intelligence projects the healthcare data mining market to grow at a CAGR of over 11.5% from 2021 to 2026.

Students considering careers in healthcare data analytics can also benefit from this micro-credential. It provides a solid foundation in data mining techniques, necessary skills to enter the field.

The ability to effectively mine healthcare data can also be beneficial for healthcare administrators and policymakers. By understanding the patterns and trends in healthcare data, you can make more informed decisions and develop more effective data-driven policies.

Pre-Requisites and Admissions

The micro-credential is fully online. You must meet the admissions requirements for the Master’s in Healthcare Data Analytics to begin. Ready to apply? See our admissions page.


MDAI 602 - Statistics for Analytics (3 Credits)


This course introduces univariate data analysis methods using statistics. Data visualization methods and practices, and an overview of sampling techniques for data collection. Specifically, this course teaches introductory statistical methods for the analysis and visualization of data and basic concepts of probability theory. Course topics include descriptive statistics, data visualization techniques, an introduction to statistical inference (confidence intervals and hypothesis testing) for decision making, linear regression models, data sampling techniques. The students will learn the statistical package SPSS to analyze data sets from real-world applications. 3 credits. No prerequisites.

MDAI 603 - Data Warehousing and Data Mining (3 Credits)


This course is an introduction to the principles, methods and theory for development of data warehouses and data analysis using data mining. It includes data quality and methods and techniques for preprocessing of data, and the modeling and design of data warehouses. Algorithms for classification, clustering and association rule analysis will be studied. The course will consider the practical use of software for data analytics and business intelligence with the main goal to educate the students to assume roles such as data warehouse architect, project manager, or data administrator throughout their professional career. Students will be introduced to WEKA (the workbench for machine learning), the R programming language, and relational databases. 3 credits. No prerequisites.


Upon successful completion of this micro-credential, you will be awarded two distinct badges, each representing a key area of expertise within the field of data analytics:

Decision Intelligence

You will receive this badge after you master the art of statistical analysis within the context of decision intelligence in the Statistics for Analytics course. This badge demonstrates your proficiency in understanding and applying descriptive and inferential statistics, data visualization, probability theory, and linear regression models to analyze and interpret data effectively. It signifies your enhanced ability to make informed decisions based on data-driven insights.

Data Mining

You will earn this badge when you demonstrate your expertise in data warehousing and data mining techniques after completing the Data Warehousing and Data Mining class. It acknowledges your skills in data sampling methodologies, data preprocessing techniques, and the core principles of data warehousing. This badge confirms your ability to efficiently manage and analyze large datasets, extract valuable insights, and contribute to data-driven decision-making processes.

This micro-credential and badges recognize your expertise in business intelligence and data management. Whether you are advancing in your current career or venturing into new opportunities, these badges and the knowledge gained from the micro-credential prepare you to tackle real-world challenges in business intelligence and data analytics and succeed in this field.