Master of Business Administration - Predictive Analytics and Data Visualization Concentration (BA PADV MBA)
39 Credits
MASTER OF BUSINESS ADMINISTRATION - PREDICTIVE ANALYTICS AND DATA VISUALIZATION CONCENTRATION • 39 CREDITS • BA DMGV MBA
Data Analytics analyzes vast databases that must be examined using complex algorithms and artificial intelligence to identify previously unidentified useful sets of relationships and trends. The Predictive Analytics and Data Visualization concentration is delivered jointly by the College of Arts and Sciences in partnership with the College of Business. The concentration is online and prepares individuals to build predictive and forecasting models, generate data visualization products, and build data dashboards and automated reports. The concentration uses industry standard software in practical applications directly related to current trends and issues that impact organizations across a broad spectrum. Course progression and content is carefully formulated to build competency in predictive modeling, forecasting and data visualization for students from a broad range of disciplines and experiences, including those who are new to the field.
*DATA courses are only offered in a 15-week online format.
MBA CURRICULUM
Davenport University’s 39 credit MBA program is designed for those early in their business careers and entrepreneurial endeavors, and those mid to senior-level managers looking to sharpen their professional skills. The student will complete a set of core requirements prior to proceeding to concentration courses.
Any exceptions or variations must be approved by the MBA/MM exceptions committee.
Foundations of Business Requirements
All students admitted into any Davenport University MBA program are expected to have the necessary business foundations prior to entering the 600-level courses. If a student does not provide satisfactory evidence of the Foundational Knowledge, they will need to complete any or all of the following. These courses are not included in the credits required for degree completion.
Any exceptions or variations must be approved by the MBA/MM exceptions committee.
- ACCT 510 - Fundamentals of Accounting Principles and Concepts 3 Credits
- BUSN 520 - Management and Marketing 3 Credits
- FINC 510 - Foundations of Financial Management 3 Credits
- STAT 500 - Statistics for Business 3 Credits
Which class should I take? When should I take it?
See our Recommended Program Sequences:
- MBA - Predictive Analytics and Data Visualization Concentration (web)
- MBA - Predictive Analytics and Data Visualization Concentration (pdf)
Core Courses |
24 Credits | |
|---|---|---|
| ACCT640 | Most of the information required to plan and control business operations, and the data required to create and sustain a competitive advantage, come from the accounting system and the reports that are generated. This course analyzes the management structure and process in which this information is generated, the construction and application of managerial accounting data, cost behavior and cost assignment. Students will also examine product cost within activity based costing, job order costing, and process costing. Controlling cost through the use of standard cost system and budgeting are explored. In addition, this course covers business decision-making using relevant information from activity costing, variable/fixed analysis, cost-volume-profit analysis, quality costing, and productivity analysis. Students will analyze and evaluate managerial accounting functions and decision cases in light of managing a business, making financing decisions, and generating growth and income within the | |
| DATA610 | Essentials of big data and data analytics are introduced and include descriptive, predictive and prescriptive statistics, regression analysis, optimization techniques and data visualization. The instructional approach in this course focuses on application-based reinforcement of concepts to include the use of simulations. A key component of instruction is an emphasis on analytical report writing and other ways to effectively present data analytic results. Techniques examined emphasize applicability in multiple organizational sectors to include business, finance, human resources, healthcare, manufacturing, sport management, social services, education, non-profit, and government entities. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. | |
| ECON625 | This course is an exploration of microeconomic theory and practices, which explain real-world behavior in a firm and society. A practical, problem-solving approach to decision-making is used to learn how economic concepts serve as the basis for many challenges and decisions that confront today’s managers. Topics to be covered include an overview of supply and demand, forecasting demand, production and cost analysis, statistical analysis of economic relationships, market structure and organization, the role of government in a market economy, pricing a firm’s output, risk analysis, and capital budgeting. Note: A grade of C or better is required on the final assessment in order to earn a passing grade in this course. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): STAT500 | |
| FINC620 | This course focuses on the application of financial theory and concepts for management decision making with emphasis on the practical aspects of finance. Students learn how to analyze a company’s financial information and practice financial planning. Students evaluate the capital investment process, the corporate restructuring process, as well as bankruptcy analysis. In addition, students explore the financial decision-making process relating to working capital management and international finance. Note: A grade of C or better is required on the final assessment in order to earn a passing grade in this course. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): FINC510 | |
| LEGL710 | This application centered class explores business ethics as well as the legal environment of business in a number of contexts. Students will learn to apply employment laws and regulations to human resource decision making. The course will also relate the areas of contract and tort law to common business scenarios. The relationship between agency law and the fiduciary duties of corporate leaders will also be identified. The emphasis of the course will be on applying knowledge of various areas of law and ethics to strategic business decision making. Grade Note(s): A grade of C or better is required on the final assessment in order to earn a passing grade in this course. | |
| MGMT653 | This course is designed to provide new ways of thinking about leadership philosophies and strategies to influence the behaviors of individuals and groups in organizations. Students begin with an exploration of the nature of effective leadership and leadership theories. Understanding power, creating change, developing teams, and guiding group decisions are examined in the context of the roles of a leader. Students learn how to recognize leadership traits and approaches so they can develop their own leadership style. Case studies involving real-world situations that confront leaders are used so that students can formulate strategies to improve the performance of followers through effective leadership. A grade of C or better is required on the final assessment in order to earn a passing grade in this course. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): BUSN520 | |
| MGMT757 | This course is the study of how external influences and internal capabilities affect organizational strategies, tactics, and execution. This course covers topics surrounding supply chain management, process design, capacity planning and scheduling, inventory control, statistical process control, and quality assurance. Additionally, operations management's role in organizational performance is explored. Students will examine organizational challenges and opportunities in order to formulate strategies that sustain competitive advantage. In this course, students learn to apply the concepts by conducting a supply management simulation. Note: A grade of C or better is required on the final assessment in order to earn a passing grade in this course. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): ACCT640, BUSN688, ECON625, and FINC620 | |
| MKTG610 | This course focuses on marketing strategies and tactics, which are the tools that managers use to increase sales and profits of products and services. Identifying and employing the most effective strategies are critical to the success of any firm. In this course, students explore market segmentation, product, price, distribution, promotion, international, and strategic marketing strategies and tactics. Case studies are used to provide an opportunity to conduct situation analysis, identify SWOTs (strengths, weaknesses, opportunities, and threats), and recommend appropriate strategies and tactics that will attract, satisfy, and retain customers. Note: A grade of C or better is required on the final assessment in order to earn a passing grade in this course. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): BUSN520 |
Concentration Courses |
12 Credits | |
|---|---|---|
| DATA667 | Data visualization and communication skills are taught using industry standard software. The instructional approach in this course focuses on application using hands-on projects to create reports and dashboards with high-impact visualizations of common data analyses to help in decision making. A key element of instruction is an emphasis on communicating the practical implications of data analytics results to a non-technical audience in a timely manner. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. | |
| DATA710 | R programming language concepts are covered within the context of how they are implemented in practice when conducting high-level statistical analysis. The instructional approach in this course focuses on application-based programming concepts such as reading data into R, accessing analysis tool boxes in R, writing R functions, debugging, and organizing and commenting in R code. Data mining and analysis projects will be used to provide working examples. Upon completing this course, students will be able to employ advanced modeling techniques to write R code to conduct data analysis with strong reusability. | |
| DATA772 | This course covers statistical procedures used in data analytics with emphasis on hands-on practice. Industry standard software is used to import and prepare data for model development as well as for developing various types of regression models. Assessment of model performance and methods for model selection are also covered. Emphasis is also placed on parameter estimation, variable selection, and diagnostic checking of these models and their use for statistical inference and prediction. Both numerical and graphical techniques are used for diagnostics and reporting. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA710 | |
| DATA785 | This course covers statistical modeling in the use of statistical methods to develop models that can be used for predicting future numerical or categorical outcomes in processes for disciplines ranging from business to science. The philosophy of modeling as well as common modeling methods and model adequacy assessment procedures are covered. Industry standard software is used to prepare data, develop and assess models, obtain predictions, and present results. The main thrust of the course is on the application of predictive modeling rather than the theory behind it. Selected projects will be used to provide hands-on experience with the various steps involved in modeling and predicting. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): DATA772 |
Capstone |
3 Credits | |
|---|---|---|
| CAPS794 | This course provides the summative and integrative experience that serves as the capstone of the MBA program. Conducted in the form of an interactive business simulation, the student applies their knowledge of business principles and practices as they analyze conditions, develop appropriate strategies and make implementation decisions. In addition, comprehensive case studies are used to apply the strategic management process to a variety of business settings. Finally, this course serves as the student’s final assessment of overall program learning. A grade of C or better is required on the final assessment in order to earn a passing grade in this course. A grade of B or better must be earned to pass this course successfully. Applicable Course Fees can be found at https://my.davenport.edu/financial-aid/how-much-does-du-cost/tuition-and-fees. Prerequisite(s): This class must be taken as the last class in the MBA program |