Business Intelligence
Online Master's Degree Program

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Data is Key, but Only if you can Make Sense of it

University of Arkansas Grantham’s Master of Science in Business Intelligence program offers the perfect education for those considering careers that focus on better decision making using data, an in-depth understanding of information technology in the business world, and knowledge of general program analysis. Your online program will help you explore both the people side and the technology side of a business operation as you cover techniques for managing teams of information technology specialists in business-related positions. Coursework in your degree program also examines concepts and strategies that can increase your awareness of decision science, making you an asset for any organization with the desire to remain competitive in the field.

Expect More from UA Grantham

More transferability: Students can transfer up to 50% of credits for this degree.

More start dates: Most courses in this program start monthly. It's easy to get started whenever you're ready.


Admissions Requirements

When applying for the Business Intelligence graduate program, students must have achieved at least a 2.5 cumulative GPA in their undergraduate program or file for a GPA waiver. There is no requirement for GRE or GMAT scores for Master of Science degrees.

Many Benefits of Pursuing a Master's Degree in Business Intelligence Online Program from UA Grantham

In today's data-driven economy, organizations rely heavily on data analysis and interpretation to make informed decisions and gain a competitive edge. Earn an online Master's degree in Business Intelligence from UA Grantham and become a valuable asset for any business, organization, or agency seeking experts in this dynamic field.

UA Grantham’s Master of Science in Business Intelligence program is designed for those seeking advancement in fields that focus on better decision-making using data. UA Grantham students gain in-depth understanding of information technology in the business world and knowledge of general program analysis. Our 100% online program helps learners to explore both the people side and the technology side of a business operation, as it covers techniques for managing teams of information technology specialists in business-related positions.

Coursework in the UA Grantham’s Master of Science in Business Intelligence degree program examines concepts and strategies that can increase your awareness of decision science, making you an asset for any high-performance organization. Students study data analysis, data visualization, data mining, predictive analytics, business analytics tools and technologies, and more. This comprehensive online curriculum equips graduates with the knowledge and skills needed to excel in various roles within the field of business intelligence, including data analyst, business analyst, data scientist, and business intelligence manager.

UA Grantham’s high-quality, experienced faculty members are experts in their fields. These instructors bring real-world experience and industry insight into the virtual classroom, enriching the learning experience and providing students with practical knowledge that is directly applicable to their current and future roles. And as is true in all of UA Grantham’s programs, students have access to a supportive academic community and resources, including academic advising, tutoring services, and career development assistance.

UA Grantham students can expect to cover a diverse range of topics that are crucial for understanding and excelling in the field of business intelligence. Here are common topics covered in the program:

Data Analytics

Introduction to data analytics techniques and methodologies for extracting insights from large datasets, including descriptive, diagnostic, predictive, and prescriptive analytics.

Data Warehousing Principles and practices of data warehousing, including data modeling, ETL (Extract, Transform, Load) processes, data integration, and modeling.

Data Mining

Exploration of data mining techniques and algorithms for discovering patterns, trends, and relationships in data, including clustering, classification, regression, and association analysis.

Data Visualization

Techniques for visualizing data to communicate insights effectively, including charts, graphs, dashboards, and interactive visualization tools.

Big Data Technologies

Introduction to big data technologies and platforms, such as Hadoop, Spark, NoSQL databases, and distributed computing frameworks, for processing and analyzing large volumes of data. Business Intelligence Tools: Hands-on experience with popular business intelligence tools and platforms, such as Tableau, Power BI, Qlik, and SAS, for creating reports, dashboards, and analytics solutions.

Predictive Analytics

Application of statistical and machine learning techniques to predict future outcomes and trends based on historical data, including time series analysis, forecasting, and predictive modeling.

Data Governance and Ethics

Principles and practices of data governance, data quality management, data privacy, and ethical considerations in collecting, storing, and analyzing data.

Business Analytics

Techniques for applying data analytics and business intelligence concepts to solve business problems and drive decision-making, including customer segmentation, market basket analysis, and performance optimization.

Data-driven Decision Making

Strategies for using data-driven insights to inform strategic, tactical, and operational decisions across different functional areas of an organization.

Text Analytics and Natural Language Processing

Analysis of unstructured text data using text analytics and natural language processing techniques for sentiment analysis, topic modeling, and text classification.

Data Science Methodologies

Introduction to the CRISP-DM (Cross-Industry Standard Process for Data Mining) and other data science methodologies for managing and executing data analytics projects.

Data Storytelling

Effective communication of data insights and findings through storytelling techniques, narrative visualization, and persuasive presentation skills.

Advanced Topics in Business Intelligence

Exploration of emerging trends and advanced topics in business intelligence, such as real-time analytics, IoT (Internet of Things) analytics, spatial analytics, and social media analytics.

Capstone Project or Thesis

Many master's programs require students to complete a capstone project or thesis, where they apply their knowledge and skills to address a real-world business intelligence challenge or research topic.
Earning an online Master's degree in Business Intelligence from UA Grantham can lead to a wide range of career opportunities and advancement possibilities. Graduates are equipped to pursue roles in data analysis, business analytics, data science, business intelligence consulting, and more.

Program Outcomes

  • Build business models for forecasting and business analysis
  • Compare and contrast business intelligence technologies
  • Integrate information from the organization into a strategic system
  • Use communication skills
  • Assess workflow, data analysis and technology through quantitative techniques
  • Analyze professional, ethical, legal, security, and social issues and responsibilities
  • Evaluate information about an organization's operational processes, financial situation and business performance
  • Assemble project plans to report project progress to stakeholders

Need More Help?

Talk to a dedicated admissions representative and get answers to all your Business Intelligence questions. Give us a call at 800-955-2527, email us at admissions@uagrantham.edu, or chat now.