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Business Analytics - Master of Science

Degree Information

The MS-Business Analytics program is designed to meet the increasing demand for business analytics professionals from the business community. The goal of the program is to enable professionals working in a variety of fields to enhance their educational and career goals by attaining the skills needed to analyze, design, and implement business analytics projects. A business analytics professional requires a unique blend of skills including business acumen, understanding of information technologies and systems, and mastery of statistical and quantitative techniques. The program includes coverage of business and information systems issues and advanced business analytics concepts and techniques. Graduates from the MS-Business Analytics program will be well positioned for a variety of mid- to advanced-level careers in business analytics including lead business analyst, business analytics consultant, business analytics project manager, and data scientist. Graduates will be well prepared to pursue various industry certifications in analytics.


Major Requirements (36 credit hours)

Business Foundation Courses (15 credit hours)

  • MBA 600 Survey of Accounting

    Survey of Accounting is designed to provide students with an overall understanding of the manner in which business gathers, processes and uses information. Students are introduced to basic accounting and computer concepts and procedures through case studies and computer projects. Emphasis is placed on developing an understanding of basic accounting processes and principles, on data management in a computerized environment, and on the basic financial statements. Students are also expected to develop an appreciation of the needs for internal controls in a business. Issues relating to internal control procedures, computer security, privacy issues and ethics will be introduced through readings and case studies. Prereq: Graduate Standing
    University Syllabus

  • MBA 608 Capitalism & Economic Reasoning

    This course reviews the history of capitalism, with a focus on the modern implications of American Capitalism to business and policy decision-making today. It also explores competing systems and compares the economic, political, and personal freedoms that define our market-based system in relation to others. The course will use both focused and integrative analyses of key micro- and macroeconomic, accounting, finance, and marketing concepts, and their role in shaping the creation and growth of American business enterprises, and in defining and measuring their success. Students will begin the journey of learning how to reason like an economist and understand system impact in their analysis, decision making and judgment making. (MSBAN students - No prerequisite required.) Prereq: MBA 605 and MBA 606
    University Syllabus

  • MBA 626 Operations Management Strategies in a Global Context

    This course explores the operations function and the role it plays in attaining and maintaining a competitive edge in the domestic and global markets. It is an overview of how the operations function interfaces with marketing and finance functions to ensure demand for the organization's goods and services. Emphasis is placed on how to acquire and manage necessary resources, and how to plan and control the transformation of those resources into goods and services. Applications in both service and manufacturing organizations are included: Prerequisites: MBA 600, 605, 606, 608, and 610. For MSBAN students – MBA 600 and BAN 600. For MSA students – MBA 610.
    University Syllabus

  • MBA 652 Marketing Strategy

    This course examines the key concepts and issues in developing and selecting a marketing strategy. Developing and implementing dynamic marketing strategies that are adaptable to changing conditions are emphasized. It examines processes that enable the domestic and/or international organization to continually learn from competitors, customers and other stakeholders with the objectives of developing marketing strategies that are essential to both obtaining and sustaining a competitive advantage. Students can gain career experience in marketing by analyzing various corporate dilemmas and developing strategies throughout the course along with creating marketing plan. Prerequisite: MSBAN students - MBA 608 Prereq: MBA 605, 606, and 608
    University Syllabus

  • MBA 612 Financial Strategy

    Fundamental principles and practices relevant to a firm’s financial strategy are addressed. Emphasis is on conceptual foundations and analysis of how financial fundamentals impact corporate financial strategies and the efficient allocation of wealth resources. Topics include: key elements of financial environments, market efficiency, financial analysis, cash flow, incentive theory and practice, agency problems, time value of money, security valuation, risk analysis, portfolio theory and practice, capital budgeting, capital structure, dividend policies, options, global financial concerns, and contemporary financial issues. Prerequisite: MBA 600, 605, 606, 608 and 610. For MSBAN students – MBA 600, MBA 608 and MBA 610 or BAN 600. For MSA student - MBA 610
    University Syllabus

Information Systems Foundation Courses (9 credit hours)

Choose 3 courses (9 credit hours) from the following list:

  • CIS 520 Survey of System Development

    This course provides an exploration of the human aspects of Cybersecurity. Topics include human behavior and interaction, motivation and influence, and social engineering. Emphasis on the human element of cyber incidents in relation to protecting information and technology assets.
    University Syllabus

  • CIS 525 Business System Programming

    This course builds upon an introductory programming class. Students will be immersed in language syntax and the interactive PC environment. Emphasis will be on solving problems by deriving and implementing appropriate algorithms using object oriented concepts. Students will accomplish a programming project that will apply the concepts covered in the course. Prerequisite: CIS 242 or CIS 243
    University Syllabus

  • CIS 515 IT Infrastructure

    This course focuses on the fundamentals of telecommunications including data, voice, image, and video formats. Coverage includes the concepts, models, architectures, protocols, standards, and security for the design, implementation, and management of digital networks. Emphasis is on the IT infrastructure to serve organizational needs in a rapidly changing competitive and technological environment.
    University Syllabus

  • CIS 608 Information Security Management

    This course addresses the issues relating to successful information security management. Topics include access control systems, network and software security, management practices, risk management, protection mechanisms, business continuity planning, and legal and ethical issues. The course allows for analysis of current security management models.
    University Syllabus

  • CIS 629 Managing Emerging Technologies

    This course provides an exploration of emerging information technologies, including how to define them, how they evolve, their role in the technology life cycle, and their potential economic, social, and cultural relationships. Topics covered include disruptive technologies, successes and failures of past emerging technologies, and integrating emerging technologies into a sustaining technology system.
    University Syllabus

  • CIS 633 Information Technology Project Management

    This course addresses the complex and unique issues related to effectively managing projects in an Information Technology context. Emphasis is placed on the knowledge areas specified by the Project Management Institute (PMI) in A Guide to the Project Management Body of Knowledge (PMBOK® Guide). Team-based and discovery-based learning methods are stressed. Development projects reflect actual problems provided by industry. A formal software project management plan detailing the process groups of initiating, planning, executing, controlling, and closing will be developed.
    University Syllabus

  • CIS 637 Information Resource Management

    In today’s business world, managing information resources is the responsibility of both business and information systems managers. This course provides an in-depth discussion of the management of information technology resources of organizations. Special emphasis is placed on information as a strategic resource and on its role in policy and strategic planning. The course identifies the principles of using information systems (IS) to create competitive advantages, examines alternative ways to match the IS functions to the structure and behavior of the organization, and explores the multi-disciplinary aspects of the field of Information Technology (IT) management. Topics related to pursuing advanced careers and leadership roles in IT and business management are also discussed in this course.

Business Analytics Courses(12 credit hours)

  • BAN 500 SAS Programming for Business Analytics

    This course is designed to provide a foundation of SAS analytics programming concepts and environments. It provides the tools necessary to write SAS programs to perform data management, analysis, and reporting. Topics include creating and documenting data sets, managing and reshaping data, writing reports, computing statistics on data set variables, and performing effective SAS programming. Hands-on exercises designed to facilitate understanding of all the topics are included. The course also provides the basis for more advanced work in data analytics and advanced programming techniques for data management. This course aligns with the SAS Base Programming certification concepts offered through the SAS Institute, Inc. Prerequisite: MA 240 or equivalent
    University Syllabus

  • BAN 520 Enterprise Data and Information Management

    This course offers an in-depth exploration of all the major topics in the field of data and information management from an applied perspective with an emphasis on data warehouses. The course is designed to provide not only a strong theoretical foundation, but also the technical skills required in analyzing, designing, implementing, managing, and utilizing information repositories. Topics covered include relational database model, data modeling, logical and physical database design, structured query language (SQL) implementation, procedures and triggers, data integration and quality, data warehouses and other relevant techniques for addressing big data issues in organizations today. The strategic roles that data and information play in business operations, customer relationship management, business decision-making, and strategy development are also discussed.
    University Syllabus

  • BAN 600 Advanced Business Analytics

    As the market demand for professionals with data management, analytical and problem-solving skills increases, this course provides an analytical toolset to address modern, data-intensive business problems. To be effective in a competitive business environment, a business analytics professional needs to be able to use analytical tools to translate information into decisions and to convert information about past performance into reliable forecasts. Using a case-based approach, the course provides an overview of the key concepts, applications, processes and techniques relevant to business analytics. The course makes use of the leading software products to illustrate the use of business analytics methodologies to enhance business decision-making. Prerequisite: BAN 520, For MSMIS students: Completion of CIS 628 satisfies this prerequisite.
    University Syllabus

  • BAN 620 Advanced Data Mining Applications

    As business organizations collect more and more data as a byproduct of their operations, decision-makers are beginning to proactively and systematically analyze these data to improve decision quality. This course focuses on topics relevant to data mining, which is the process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make proactive, knowledge-driven decisions. The course provides an in-depth discussion on various techniques of data mining including predictive modeling, pattern recognition, prescriptive analytics, and text mining. Both the theoretical and practical aspects of data mining are discussed in this course. Prerequisite: BAN 600.
    University Syllabus

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