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Supply Chain Analytics

Offered by:
University of Colorado Boulder

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Learn to integrate technical expertise and strategic problem-solving in the fast-growing supply chain industry by earning a graduate certificate in Supply Chain Analytics online from the Leeds School of Business. Our four-course, fully online certificate program teaches you to identify opportunities for supply chain improvements and effectively communicate your data-backed insights.

Completing this certificate will give you the skills to find a job or expand your career as an analyst in many positions, including supply chain network design, purchasing and procurement, demand forecasting, and more.

Turn a Professional Certificate into a Master’s Degree

If you’re interested in returning to school after some time, a graduate certificate is a great way to get started and immediately access knowledge that can be applied to your everyday life. A certificate also allows you to quickly demonstrate proficiencies to employers while adding value to your resume.

The Leeds School of Business provides the option to begin with a certificate en route to completing the master’s program, further progressing your knowledge of and marketability in the field. All you need to do is apply for your master’s degree before the end of your third class, and you’ll already be well on your way to developing an in-demand toolkit to enhance your career.

Tuition and Fees

Investing in your future is a big decision. However, becoming a fully online student at the University of Colorado is a high-quality and affordable option for learners of all types. Tuition and fees are based largely on the degree program you enroll in.

The tuition amount assessed is determined based on which University of Colorado campus, school, or college is offering your degree program, as well as if it is at the undergrad or graduate level, and finally your resident status. Visit our tuition and financial aid page for more information.

Financial aid and scholarships are available for those who qualify.

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The graduate certificate in Supply Chain Analytics is a four-course, 12 credit-hour program that allows you to specialize in fundamentals of supply chain data

Admissions Requirements

Admission requirements and deadlines vary based on the program. Learn more about the admissions process by filling out the form above or contacting an Enrollment Navigator today.

Admissions Requirements

  1. Online Application
  2. Statement of Purpose (1-2 pages)
  3. Transcript showing completion of an undergraduate degree
  4. Current resume
  5. One letter of recommendation

Required Courses

  • MSBX 5410 — Fundamentals of Data Analytics
    • Exposes students to commonly used platforms for statistical and predictive analytics. The class will go into the depth of analytics using R before demonstrating the same concepts using SPSS and SAS. Students will learn to analyze large datasets, including textual analytics such as twitter-stream analysis using R.

  • MSBC 5030 — Quantitative Methods
    • Covers foundations for statistical reasoning and statistical applications in business. Topics include graduate-level treatment of descriptive statistics, probability, probability distributions, sampling theory and sampling distributions, and statistical inference (estimation and hypothesis testing). Provides an introduction to regression analysis, analysis of variance, time series forecasting, decision analysis, index numbers, and nonparametric methods. Heavy use of R programming in course execution.

  • MSBX 5405 — Structured Data Modeling and Analysis
    • Explores both the functional and technical environment for the creation, storage and use of the most prevalent source and type of data for business analysis, ERP and related structured data. Students will learn how to access and leverage information via SQL for analysis, aggregation to visualization, create dashboards, and be a source for business intelligence.

  • MBAX 6843 — Supply Chain and Operations Analytics
    • Analyze key issues related to the design and management of operations and supply chains using quantitative tools such as linear, integer, and non-linear programming, regression, and statistical analysis. Covers important topics such as forecasting, aggregate planning, inventory theory, transportation, risk pooling, production control and scheduling, and facilities location, among others. Uses mathematical modeling, spreadsheet analysis, case studies, and pedagogical simulations to deliver material.