Admission to the program will be competitive with selection based on leadership and communication skillsmotivationquantitative aptitude, and computing experience.  The program will recruit and select students from a wide variety of disciplines and backgrounds.  However, successful applicants must possess basic skills in statistics, computer programming and database management.  These skills can be documented through testing and/or academic transcripts.   It is anticipated that most applicants will be from engineering, computing, science, and business programs.

The application process includes:

  • Online application, including transcripts and test scores (GRE or GMAT and TOEFL or IELTS scores for Int’l students) 
  • Two letters of recommendation
  • Statement of Academic and Professional Goals
  • Resume
  • Applicant interview (qualified applicants will be contacted to schedule an interview after the online application has been reviewed)
  • Apply
  • Request information

Program of Study

The first effective date to declare the major concentration will be July 2016.  The first effective date for students to graduate with the major concentration will be July 2017.  The 30 hour program will include a 15 hour Business Core (required by the state and university for the M.S. in Business Administration).  It will also include a 15 hour Analytics Core, including two courses directly related to the capstone project.  In some cases, additional electives may be used to replace courses contained in the business core where competency is proved.

Required Core Curriculum

15 Hours- Business Core

  • ACIS 5104 Fundamentals of Accounting - Fundamentals of accounting systems as they relate to decision making. Attention is directed toward accounting for the core of management control and financial reporting systems, and as integrally related to the information system. (3H,3C)
  •  BIT 5724 Managerial Statistics - This course describes how to use a collection of quantitative techniques to analyze data and help with managerial decision-making. After understanding how to use Microsoft Excel to formulate, analyze and solve general business problems, students focus on how to construct and use mathematical models along with spreadsheet models based on topics from statistics (i.e., probability theory, statistical inference, and linear regression) and management science (i.e., linear programming).
  •  FIN 5024 Principals of Finance
  •  MGT 5314 Dynamics of Organizational Behavior - This course examines the determinants and consequences of human behavior in formal organizations. The specific graduate focus is on understanding the individual, interpersonal, and group processes which underlie all human dynamics.
  •  MKTG 5104 Marketing Policy and Strategy

Required Analytics Curriculum

15 Hours - Analytics Core

BIT 5524 Intro to Business Intelligence and Analytics - Overview of business intelligence and analytics technologies and their strategic use including defining/framing the business context for decisions, decision models, data issues, business intelligence, building analytics capability, cloud computing, making organizations smarter, and measuring the value of analytics.

BIT 5534 Applied Business Intelligence and Analytics - Development of business intelligence and analytics solutions and applications to various types of decision-making problems. Analytics software and techniques. Data preparation, data exploration and visualization, predictive analytics techniques, text analytics, spatial analytics. Prerequisite(s): BIT 5524

BIT 5424 Advanced Business Information Visualization for Analytics - Study of the perception and design principles and advanced techniques for information visualization, with an emphasis on the application of visualization software for data exploration and the development of analytical skills for business.  Includes hands-on exposure to information visualization and statistical software.

MGT 5905-5906 Business Analytics Capstone - Management and execution of business analytics projects. 5905: Problem and scope definition, identifying objectives, data requirements and preparation, selection of software tools, project planning and administration, leadership and team building, and assessment of project value and effectiveness. Pre: Graduate standing. (3H, 3C).  5906: Integrated application of analytics knowledge, techniques, and tools resulting in the development and delivery of insights, recommendations, and expected outcomes to corporate stakeholders in professional communications, presentations, and reports. Pre: 5905. (3H, 3C).

Substitutions for business core courses may be made with the approval of the department heads or his/her designee if the students provide transcripts that document completed courses have provided an equivalent proficiency.

Approved Electives

Courses

ACIS 5504 Information Systems Design and Database Concepts - This course is an introduction to design methodologies in information systems. Structured systems analysis and design methodologies are discussed. An introduction to database design methodologies is also included. Topics related to different database models and their implementation is discussed. Students are also required to design and implement information systems using appropriate computer software. Pre: MBA/MACCT standing.

ACIS 5524 Advanced Data Management Systems - This course relates database theories and practices to concepts from other areas, such as programming languages, algorithms, data structures, and information systems. The relational, network, and hierarchical models are introduced. A major portion of the course deals with data manipulation languages for the relational model, design theory for relational databases, and query optimization. Prerequisite(s): ACIS 4514 (UG) OR ACIS 4514 OR ACIS 4515 (UG) OR ACIS 4515 OR ACIS 5504

BIT 5474 Computer-Based Decision Support Systems - This course explains the characteristics, use, and development of decision support systems (DSS) within the context of other business information systems. The process of designing and implementing decision support systems in business is discussed from both theoretical and practical standpoints. Students will learn various ways of measuring the success of DSS implementation as well as the difficulties associated with all such measures. Students will learn to use common software tools to develop DSS.

HTM 5564 Information Technology and Business Analytics for Hospitality and Tourism - Widely used information systems in operation, management, and e-business in hospitality and tourism. Emerging analytics tools for business intelligence and strategic decision-making. Impacts of IT on organizations and the industry as a whole.

HTM 5574 Revenue Management for Hospitality Services - Dynamic forecasting of supply and demand, customer relationship management, services production, pricing, promotion, and distribution. Implications for human resources and information systems management.  Application and integration of revenue and customer centric management theory.

MKTG 4264 Analytics for Marketing - The course integrates conceptual and quantitative aspects of marketing.  Students will learn the role of analytical techniques and computer models in enhancing marketing decisions, and techniques used in identification, assessment, and forecasting market opportunities.

MKTG 5154 Research for Marketing Decisions - The course encompasses: problem formulation, research design, data gathering instruments, scaling, sampling, data analysis for making marketing-related decisions, and solving marketing-oriented problems.

STAT 5615 Statistics for Research - Concepts in statistical inference, including basic probability, estimation, and test of hypothesis, point and interval estimation and inferences; simple linear regression; one-way analysis of variance and categorical data analysis.

STAT 5616 Statistics for Research - Experimental designs: basic concepts; completely randomized designs; randomized complete block designs; balanced incomplete block designs; Latin square designs; factorial treatment designs; mixed effects designs; split-plot designs.  Multiple linear regression: general formulation, estimation and inference, variable selection, and model diagnostics.  Pre: 5615: 1 year calculus; 5616: 5615(3H, 3C). 5615: I 5616: II.

Sample Plan of Study

Summer 2 Session

  • BIT 5724 Managerial Statistics (Business core) (online)
  • SAS Boot Camp (required unless competency proven) (Non-credit, offered one week before fall classes)

Fall Semester

  • ACIS 5104     Fundamentals of Accounting (Business core)
  • BIT 5524        Introduction to Business Intelligence for Analytics (Analytics core) (online)
  • BIT 5534        Applied Business Intelligence and Analytics (Analytics core)
  • MKTG 5104   Marketing Policy and Strategy (Business core)

Spring Semester

  • FIN 5024       Principles of Finance (Business core)
  • BIT 5424       Advanced Business Information Visualization and Analytics (Analytics core)
  • MGT 5905    Business Analytics Capstone (Analytics core)
  • MGT 5314    Dynamics of Organizational Behavior (Business core)

Summer 1 Session

  • MGT 5906    Business Analytics Capstone (Analytics core)