Atlantic Technological University
Atlantic Technological University

MSc Supply Chain Analytics

Atlantic Technological University, Ireland

Course Overview

The course in Supply Chain Analytics offers a comprehensive exploration of how data-driven insights can revolutionize supply chain management. By leveraging analytics, companies gain the ability to identify and anticipate risks, detect patterns, and forecast future trends throughout their supply chains in real time. Through this program, students delve into the intricacies of supply chain intelligence, learning how to enhance efficiency, mitigate disruptions, and optimize business models. The curriculum is tailored to equip participants with the skills needed to make informed decisions regarding the organization and management of goods, people, data, and financial flows within supply chains, all while meeting performance criteria. Given the unprecedented demands placed on global supply chains, there has never been a more opportune moment to pursue expertise in this critical field. Graduates emerge poised to navigate the complexities of modern supply chains, driving innovation and efficiency in a rapidly evolving business landscape.

Course Type
PG
Course Nature
Full Time
Course Duration
1 Year
Total Fee
€12000
Intake
September 2024 , January 2024
Language Proficiency

Under graduation:60%

IELTS:6.5

Documents Required
  • 10TH
  • 12TH
  • DEGREE
  • DEGREE PROVISSIONAL CERTIFICATE
  • Degree Consolidated Marksheet
  • Degree Individual Marksheet
  • PASSPORT
  • LOR 1
  • LOR 2
  • CV
  • IELTS
  • SOP
  • EXPERIANCE CERTIFICATES
University
Atlantic Technological University
University Details

Syllabus

Semester 1:

  1. Supply Chain Management Fundamentals

    • This module provides an overview of supply chain management principles and practices. Topics include supply chain design, inventory management, distribution networks, and supply chain coordination.
    • Mandatory, 10 Credits, 4 Contact Hours
  2. Operations Management

    • This module focuses on the principles and techniques of operations management for improving efficiency and productivity in manufacturing and service industries. Topics include production planning, quality management, capacity utilization, and process improvement.
    • Mandatory, 10 Credits, 4 Contact Hours
  3. Global Logistics Strategies

    • This module explores the strategies and challenges associated with managing global logistics networks. Topics include international transportation, trade compliance, customs regulations, and risk management in global supply chains.
    • Mandatory, 10 Credits, 4 Contact Hours
  4. Data Modeling and Business Intelligence

    • This module introduces the concepts and techniques of data modeling and business intelligence for extracting actionable insights from organizational data. Topics include data warehousing, dimensional modeling, ETL processes, and business analytics tools.
    • Mandatory, 10 Credits, 4 Contact Hours
  5. Data Analytics and Visualization

    • This module focuses on advanced data analytics techniques and visualization methods for interpreting complex data sets and communicating insights effectively. Topics include predictive analytics, data mining, dashboard design, and data storytelling.
    • Mandatory, 10 Credits, 4 Contact Hours
  6. Supply Chain Analytics Project

    • This module provides students with hands-on experience in applying data analytics techniques to solve supply chain management problems. Students will work on a real-world supply chain analytics project and present their findings.
    • Mandatory, 10 Credits, 4 Contact Hours
  7. Dissertation

    • This module enables students to conduct independent research on a topic of their choice within the field of supply chain management or data analytics. Students will demonstrate advanced knowledge, research skills, and critical analysis in producing a dissertation.
    • Mandatory, 30 Credits, 1 Contact Hour.

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