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Graduate Certificate in Advanced Business Analytics Applications

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Apply Advanced Analytics Techniques to Solve Complex Business Challenges

The Graduate Certificate in Advanced Business Analytics Applications is designed for professionals seeking advanced, practice-oriented analytics skills. The curriculum emphasizes advanced analytical methods, analytics project management, and the translation of data into actionable business insight, culminating in a capstone experience focused on real-world business problem solving. The certificate is available only online.

This program is stackable within the M.S. in Business Data Science & Analytics program. This means that 100% of the credits earned in the Advanced Business Analytics Applications Graduate Certificate program can be applied toward the M.S. in Business Data Science & Analytics degree program.

Online
At your own pace, asynchronous courses
10 Credits
Complete 5 program courses
Stackable
Apply certificate credits toward the M.S. in Business Data Science & Analytics

Develop Advanced Analytics Skills for Strategic Business Impact

  • Machine Learning & Predictive Analytics
    Apply machine learning techniques and predictive models to address organizational challenges and support data-driven decision-making.
  • Statistical Modeling & Business Insights
    Build expertise in regression analysis, forecasting, visualization, and statistical modeling to uncover meaningful business insights.
  • Network & Text Analytics
    Explore network analysis and text analytics applications across customer relationships, workforce management, supplier networks, and digital platforms.
  • Applied Analytics & Project Leadership
    Gain hands-on experience managing analytics projects and translating analytical findings into actionable business recommendations.

Curriculum for the Graduate Certificate in Advanced Business Analytics Applications (10 Credits)

The Graduate Certificate in Advanced Business Analytics Applications is available only online. Students must complete 10 credits as specified below.

Complete the following 5 courses (10 credits):

  • ITM 822: Project Management

    Total Credits: 1

    Management of information system projects. Modeling of business processes. Management of project scope, time and costs. Planning and control of projects. Program and portfolio management. Consulting issues for effective project management.

  • ITM 881: Network Analytics

    Total Credits: 2

    Application of network analysis in business contexts. Basic methods and terminology associated with network analysis and text analytics leading to broad-based applications. Applications of these techniques span a broad range of business contexts including human resource management, customer relationship management systems, supplier networks, and online networks.

  • ITM 885: Machine Learning & Optimization in Analytics

    Total Credits: 2

    Applying different machine learning and optimization techniques to solve organizational problems.

  • ITM 888: Capstone: Business Analytics

    Total Credits: 2

    Practicum in the development and delivery of predictive data analysis for strategic decision making in organizations. Application of the principles and tools of analytics to real-world problems in research and development, marketing, supply chain, accounting, finance and human resources management. Development and presentation of analytical insights and recommendations.

  • STT 805: Statistical Modeling for Business Analytics

    Total Credits: 3

    Low dimensional data visualization. Simple linear regression. Regression diagnostics. Analysis of variance. Multiple linear regression. Regression model building. Variable selection. Categorical data. Logistic regression. Proportional odds model. Introduction to time series.

Admissions

Admissions Criteria

In addition to meeting the requirements of the university, The Eli Broad College of Business and Graduate School of Management, students must meet the requirements specified below. Applicants must complete an online application through the MSU Office of Admissions.

To be admitted, candidates should:

  1. Provide official transcripts of an earned 4-year bachelor’s degree from a recognized educational institution with a cumulative grade-point average of 3.0 or higher or equivalent academic credential.
  2. Have relevant work experience and/or other evidence of ability to succeed in the program,
  3. Provide three academic or professional recommendations.
  4. Provide a personal statement, a resume and a video essay.
  5. Have completed, with a grade of 3.0 or higher, college-level courses in calculus and statistics.
  6. Have experience in programming languages, such as Python, Java, HTML, C and C++, and statistical software tools.

Admission to the program is selective and meeting the minimum standards does not guarantee admission. The applicant’s overall record is considered, including the student’s statement of objectives, recommendations, academic transcripts, and other documentation as required.

Transform Data Into Strategic Business Advantage

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Tuition

Tuition for the Advanced Business Analytics Applications Graduate Certificate online program is billed at $1,200 per credit-hour, whether you are an in-state or out-of-state student.

Additional course-related expenses for reading materials or software licenses may be incurred.

Contact Information

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