M.S. Business Data Analytics
Students will complete ten courses (30 credit hours). Throughout these courses, students will be exposed to and gain familiarity with the following cutting edge tools: R, Tableau, Python, SQL, Hadoop, Spark, Hive, Shiny, Microsoft Excel, RStudio and GitHub.
GoFirst Cluster is a dedicated WVU MS Business Data Analytics computing resource that allows students to gain experience in a controlled, secure cloud-computing environment. This tool is specifically designed to educate and empower our students with the newest tools and methods that businesses are currently using. Giving them a differentiator when entering the data analytics market.
Courses will include the following subject matter:
BUDA 510: Foundations
of Business Intelligence: This course provides an overview of the field
specifically with impact on business applications of data analytics this
includes: introduction to data science for business, big data technologies,
prescriptive analytics, among many other topics.
BUDA 515: Ethics and Data Collection: This course introduces fundamental big data and data science technologies with focus on ethical standards pertaining to data collection, storage and security for the organization. Emphasis is placed on collecting information from various sources (web, transactional, social media and data warehouses) with the goal of creating impactful insights for businesses.
BUDA 520: Data Management: Data storage and management is one of the most critical pieces of data analytics. This course allows students the opportunity for hands-on experience with database technologies that are standard across organizations around the world.
BUDA 525 & 530: Business Statistical Methods I & II: This two course sequence provides students training in predictive analytics with focus on communication and impact of results. The ability to describe and predict future trends is critical to an organization’s success using analytics.
BUDA 535: Business Data Mining: This course places emphasize on using big data technologies and machine learning to create impact for organizations. A focus is given to create insights for critical business problems and add value to the organization by formulating and solving these problems.
BUDA 540: Decision Sciences & Analytics: This course exposes students to the decision sciences analytical tools used to solve business problems. A practical, managerial approach is used, building models that require describing the problem in terms of objectives, decision variables, uncertainties, outcomes, choice criteria, and feasibilities. Students will assess the significance of model outputs, using these to develop managerial insights and action.
BUDA 545: Business Simulation Modeling: This course teaches students to structure business decisions in a manner that clearly identifies relevant variables, parameters and sources of uncertainty, and to build models and design experiments to analyze and simulate the alternatives to arrive at the best business decision. Students will develop the ability to analyze simulation output using appropriate statistical analyses, including stochastic modeling.
BUDA 550: Business Data Visualization: In a modern business, communication with data relies on impactful visualizations. This course gives students the necessary tools to create visuals for data sets of all sizes and structures and focuses on communication of key results. This ability creates organizational value by focusing on business impact not just the analytical business process.
BUDA 555: Business Analytics Practicum: This course provides students the opportunity to apply various business analytic tools to data sets embedded in a business or non-profit organization. Students are expected to complete a final project that integrates across the analytic skills of ethical data collection, data management, basic and advanced statistical analyses, data mining, data modeling, simulation and data visualization using a holistic approach.