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Master of Professional Studies in
Data Analytics – Business Analytics Option

Courses

Through the 30-credit online MPS in Data Analytics — Business Analytics option curriculum, you can learn to explore and analyze large data sets to support data-driven business decisions through the complete spectrum of analytics activities: descriptive (what happened), diagnostic (why it happened), predictive (what will happen), and prescriptive (what should happen).

You will take 9 credits in the program's core courses, 9 credits specific to the business analytics option, and 9 credits of electives in consultation with your program adviser. You will then complete your studies with the 3-credit culminating capstone experience.

As key concepts build from one course to the next, prescribed courses (BAN) for the business analytics option must be taken in sequential order starting with BAN 830. BAN 830 is offered each fall, followed by BAN 840 in spring semesters, and BAN 550 in summer semesters. The capstone course, BAN 888, will only be available in fall semesters. This sequencing is specific to the BAN courses and does not necessarily impact core or elective courses, unless where a prerequisite is noted. As always, please consult the program office if you have questions.

Required Courses (9 credits)

  • 3
    credits

    Survey course on the key topics in predictive analytics. Students will learn methods associated with data analytics techniques and apply them to real examples using the R statistical system.

    • Prerequisite

      STAT 500 or equivalent

  • 3
    credits

    Practical benefits of data mining will be presented; data warehousing, data cubes, and underlying algorithms used by data mining software.

  • 3
    credits

    Descriptive statistics, hypothesis testing, power, estimation, confidence intervals, regression, one- and two-way ANOVA, chi-square tests, diagnostics.

    • Prerequisite

      one undergraduate course in statistics

Business Analytics Option Prescribed Courses (9 credits)

  • 3
    credits

    Explores the use of descriptive analytics concepts, tools, and techniques throughout a wide range of business scenarios and problems.

  • 3
    credits

    Explores the use of predictive analytics tools and techniques throughout a wide range of business scenarios and problems; includes a subset of methods such as neural networks, machine learning, social media analytics, and more.

  • 3
    credits

    Development of methods for prescriptive analytics with a focus on business supply side decisions and risk mitigation.

    • Prerequisite

      BAN 840

Electives (select 9 credits)

  • 3
    credits

    This course examines fundamental concepts and ideas in demography and U.S. and world population trends associated with these concepts.

  • 3
    credits

    This course provides an overview of key demographic data sets, and promotes familiarity with, and appropriate use of, these data.

  • 3
    credits

    This course provides an overview of applications in applied demography in business, nonprofit organizations, public policy, and health, including a focus on international applications.

  • 3
    credits

    Examines tools and techniques required for data collection and computational procedures to automatically identify and eliminate errors in large data sets.

    • Prerequisite

      STAT 500

  • 3
    credits

    This course will study the inter-relatedness of cyber-social and cyber-technical aspects of an organization or society as a whole.

  • 3
    credits

    This course will explore the development of analytics systems and the application of best practices and established software design principles using the Python programming language and its several toolkits.

    • Note

      Requires prior programming experience and permission from the program

  • 3
    credits

    This course provides a foundation in the principles, concepts, techniques, and tools for visualizing large data sets.

  • 3
    credits

    The course examines business intelligence in the era of big data. Emphasis is on the successful implementation of big data in large and small corporations that deliver extraordinary results.

  • 3
    credits

    Models and measures of vital processes (fertility, mortality, migration) and their effects on growth and age structure of human populations.

  • 3
    credits

    Exposes students to the spatial analysis tools and analytical methods applied to demographic research.

    • Prerequisite

      a graduate course in statistics

  • 3
    credits

    Introduction, intermediate, and advanced topics in SAS.

    • Prerequisite

      3 credits in statistics

  • 3
    credits

    Analysis of research data through simple and multiple regression and correlation; polynomial models; indicator variables; step-wise, piece-wise, and logistic regression.

  • 3
    credits

    Identification of models for empirical data collected over time. Use of models in forecasting.

    • Prerequisite

      STAT 462 or STAT 501 or STAT 511

  • 3
    credits

    Analysis and construction of project plans for the development of complex software products; how to manage change and cost control.

Culminating Capstone Experience (3 credits)

  • 3
    credits

    Sets business analytics in real-world context. Explores project life cycle from business problem-framing to model lifecycle management.

    • Prerequisite

      BAN 830, BAN 550, and BAN 840

Course Availability

If you're ready to see when your courses will be offered, visit our public LionPATH course search (opens in new window) to start planning ahead.

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