Data-Driven Supply Chain Strategy

Certificate

Elevate competitive advantage driven by data.

Concordia’s Data-Driven Supply Chain Strategy Certificate is a comprehensive program designed to equip professionals with the knowledge and skills needed to excel in supply chain management and analytics. This graduate certificate focuses on leveraging data and analytics to optimize and enhance various aspects within an organization’s supply chain operations. The courses in the program emphasize applying data and statistical techniques to improve logistics, and effectively navigate operations management. 

Students will learn to identify potential risks and vulnerabilities that could disrupt the supply chain, such as natural disasters or unexpected changes, and develop risk mitigation strategies, building resilience and flexibility into the supply chain and allowing for quick recovery from disruptions. Across industries, incorporating risk management into supply chain operations and analytics is critical in today’s ever-changing business climate. It enables companies to address potential disruptions proactively, minimize financial losses, maintain business continuity, and support customer trust. 

Concordia’s certificate gives professionals a competitive edge, preparing them to excel in supply chain operations and risk management specializations within their organizations and become leaders in the field.

Who Benefits

Gain valuable knowledge about supply chain management and risk assessment strategies as it relates to your organization.

  • General & Operations Managers | Supervisors

  • Project Managers

  • Purchasing & Transportation Managers

  • Data & Financial Analysts

  • Business Owners

Outcomes

Students will: 

  • Perform data analysis and visualization within a problem-solving framework

  • Use linear and integer programming to model various scenarios

  • Identify concepts, techniques, and decision tools available to manage an organization's supply chain

  • Examine current trends and challenges in global sourcing

  • Use a risk management framework and maturity model to assess and mitigate supply chain risks in global organizations

Cost

Invest in your career.
Increase your skills, business opportunities and salary along with the confidence to excel in your organization.

Per credit cost | $650
Per credit fees | $35
Total cost per credit | $685

Certificate Cost (4 courses) | $8,220

MSQM

Earn your master's degree.
Graduate certificate credits can be applied toward a master’s degree. Students who enroll in the Certificate and achieve a satisfactory grade (B) in each course, will be granted automatic admission to the Master’s Degree in Management Science and Quantitative Methods (MSQM).

Learn more about the MSQM program.

Meet the MSQM faculty.

Review the MSQM FAQs.

Courses

12-15 Credits | 1 Year | Fully Online

Apply data-driven methods to your business.

The certificate is comprised of four courses curated to provide students with immediate, relevant skills that translate into practical application in business scenarios. Courses are designed to meet the needs of busy, working professionals.

NOTE: In addition to the core curriculum (12 credits) we are offering an optional elective course, Agricultural Data Analytics in summer 2025.

All courses are taught by MSQM graduate faculty.

Course Schedule

DATA 600
Data Analysis & Visualization
3 Credits

September 3-October 18, 2024

 This course focuses on both the technical and visual aspects of inspecting and presenting data. Technical topics will include importing data from various sources, establishing relationships between data tables, transforming data (including pivoting and unpivoting), filtering, sorting, and aggregation. Visuals will be designed to focus attention on what the data is saying, with a special focus on visuals that respond dynamically to user manipulations (e.g., filtering). Emphasis will be placed on the design/refinement cycle for visualizations, with peer review playing a prominent role.
MATH 635
Operations Management & Research
3 Credits

October 28-December 13, 2024		 An introduction to the theory and practice of quantitative modeling and optimization, with applications to computer simulation and business resource management. Possible topics include linear and nonlinear programming, network analysis, game theory, deterministic and probabilistic models.
DATA 665
Advanced Operations in Management & Research
3 Credits

January 13-February 28, 2025		 Students will learn specialized applications of operations research to problems arising from business. These will include data envelope analysis, transportation and transshipment problems, goal programming, network models (including PERT-CPM), and capital budgeting. Other topics such as inventory models, facility location problems, etc. will be covered as time and student interest permit. Special attention will be paid to the development and analysis of models for realistic medium- to large-scale problems.
BUSN 610
Supply Chain & Risk Management
3 Credits

March 10-April 25, 2025		 In this course, students will gain a solid understanding of supply chain and risk management principles, including effective ways to identify, mitigate, and measure the impact of potential supply chain disruptions, leading to informed and effective supply chain decisions. Topics in the course include supply chain design, strategies, integration, visualization, analytics, endogenous and exogenous risk, and mitigation methods.

OPTIONAL ELECTIVE

DATA 640
Agriculture Data Analytics
3 Credits

May 5-June 13, 2025		 The students will study different patterns of agricultural organizations' decision-making and ways that data analysis can be effectively used for each type. The course provides an understanding of the basics of several important analytic methods for agriculture business. Students will learn various machine learning models using Python in this course which will help them in making better decisions. The purpose of this course is to provide various types of machine-learning algorithmic solutions for the problems related to Agriculture-based data. After the completion of this, students will be able to solve any business-oriented problem for Agriculture data using Machine Learning algorithms.

Admission

Requirements:

  • A baccalaureate degree from a regionally accredited institution

  • A minimum cumulative GPA of 3.0

  • A current resume

  •  A personal statement (approx. 500 words) describing your professional experiences, background, and readiness for graduate education. Clearly outline your professional goals and how you believe the Data-Driven Supply Chain Management Certificate will align with your goals.

  • Three recommendations from individuals not related to you. They should possess a strong knowledge of your professional character including observation of special skills, achievements and/or professional experiences. Please notify your evaluators in advance to expect an email with a link to the Liaison Evaluator Portal to create an account, complete the standard form, and upload a statement. 

  • Official transcripts from all post-secondary institutions will be requested through GradCAS.
    Transcripts should be sent directly to GradCAS at:
    GradCAS Transcript Processing Center
    P.O. Box 9217
    Watertown, MA 02471

Apply

Steps to Apply:

Begin your application, save your progress, and return at any time to work on it.

  • Create your account in GradCAS

  • Select Fall 2025 from the drop down list and click Apply.

  • In the Find Program search bar type Concordia College to locate the Data-Driven Supply Chain Strategy Certificate.

  • Complete the three standard GradCAS sections of the application.

  • The fourth section is unique to our program. You'll upload required documents, request evaluators and answer program questions.

  • Pay the application fee. 
    No second institutional application fee is required.

GradCAS Applicant Help Center

Questions related to your application status:
Call | GradCAS Customer Service at 857.304.2086
Email | GradCASinfo@liaisonedu.com

Having trouble accessing the application:
Google Chrome and Firefox are the preferred browsers

International Students

International applicants who wish to take this online program from their country of residence outside of the United States are welcome to apply. Because it is a fully online program, it is not possible to apply for the F-1 student visa to enter the U.S. or enroll in the program as an F-1 student transferring from another U.S. institution.

International applicants who hold other non-immigrant visa types in the U.S such as H1B, H-4, J-2 or any other visa type that allows for study are welcome to apply.

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