Professional Certificate in Supply Chain Management and Data Science (Bundle Program)

Southern Alberta Institute of Technology (SAIT)

Canada,Alberta

 0 Shortlist

24 Months

Duration

CAD 20,303/year

Tuition Fee

CAD 175 FREE

Application Fee

May 2025

Apply Date

Canada, Alberta

Type: College

Location Type: Urban

Founded: 1916

Total Students: 55,500 +

Campus Detail

Main Campus Address

1301 16 Ave NW, Calgary, AB T2M 0L4, Canada

Professional Certificate in Supply Chain Management and Data Science (Bundle Program)

Program Overview

Supply Chain Management

Successful global businesses across diverse industries rely on efficient operations and supply chain management. Professionals in Supply Chain Management utilize their technical expertise to establish reliable and effective supply operations that enhance productivity and customer satisfaction. This program delivers valuable technical and practical knowledge in partnership with Supply Chain Canada and GoLean Six Sigma on essential components of the supply chain process and the tools & techniques used by supply chain management practitioners for success. You’ll learn about operations, procurement, logistics, performance analytics, and how to establish, maintain, and enhance an efficient supply chain process.

This program is ideal for individuals who are new to the industry or seeking a career in Supply Chain Management. No prior formal training or experience is necessary.

Data Science

Are you technically curious and interested in exploring and developing data science skills? Job roles in data science are in high demand across a wide range of industries, as the ability to extract insights and make data-driven decisions is becoming increasingly important in today’s business environment. Organizations need to extract value from the data they are collecting and use it to inform decision-making, identify new opportunities and improve their operations.

This program is suitable for individuals who are technically curious and interested in expanding their existing technical skills. No prior formal training in either data science or programming is required but a general aptitude with technology and experience in learning new technologies are strongly recommended.

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