Supply Chain Management (MSc)

MSc Supply Chain Management focuses on these contemporary challenges, drivers, and solutions. You will be provided with comprehensive knowledge of supply chain and logistics management, with a special focus on analytics.

Effective management of supply chains has become a key determinant of business survival, success, and growth. Increased digitalisation, together with fundamental advances in data science, artificial intelligence, and operations research, are now giving the edge to innovative and analytics-focused companies in managing their supply networks.

• Gain a specialist understanding of the complex challenges and opportunities of logistics and supply chain management
• Engage with logistics and supply chain managers and work on real-world supply chain and logistics problems
• Develop the analytical and digital skills to optimise logistics and supply chain decisions
• Develop competency in software packages such as R, Python, Stata, and IBM Studio to support decision making.

What you'll study

• The programme has three pillars: i) supply chain and logistics management in practice, ii) data science methods to better capture uncertainty, and 3) operations research and management science to optimise decisions. For the first pillar, you'll learn the fundamental processes and decisions involved in logistics and supply chain management, together with the business context in which they are embedded. These include, for instance, demand forecasting and management, inventory management, transportation, quality management, warehouse management, supply network design, and production planning. 
• You will become familiar with various factors that are challenging and reshaping existing supply and logistics networks, including sustainability, digitalisation, artificial intelligence, and changes in the geopolitical landscape. The second pillar focuses on transforming big data produced by firms, their partners, and the broader production networks to economic, environmental, and social value. For this, you will learn statistics and machine learning and develop projects to solve logistics and supply chain problems using the methods of data analytics. The third pillar enables moving from predictive to prescriptive analytics by using the modern methods of management science and operations research, which enables optimising decisions at operational, strategic, and tactical levels.
• The programme has an interdisciplinary perspective, integrating knowledge from business studies, management science, and data science, with a core focus on logistics and supply chain management. We provide a comprehensive education on these topics that is  delivered across three semesters. A number of elective modules allow you to specialise on international business strategy, complex networks and innovation, and project management.

Structure

• Nine compulsory modules  
• Choose one elective module
• One Capstone project module

Compulsory/Core modules

• Introduction to Coding with Python
• Data Science: Methods and Applications
• Capstone Project in Supply Chain and Logistics Analytics
• Introduction to Supply Chain and Operations Analysis
• Environmental Analytics for Supply Chains
• Introduction to Management Science
• Supply Chain Planning and Control
• Analytical Frontiers in Supply Chain Management
• Transportation and Logistics Analytics
• Demand Forecasting and Pricing Analytics

Elective modules

• International Business Strategy
• Complex Networks and Innovation
• Project Management
• Cryptocurrency and Blockchain Programming

Career paths

• This course could lead to specialised roles, such as: Supply Chain Analyst, ​Supply Chain Planner, Supply Chain Manager, Logistics Planner, Operations Manager, Production Planner, Demand Planner, Supply Chain Consultant, as well as general analytics roles such as Business Analyst, Data Scientist, and Decision Scientist.
• The combination of practical and theoretical knowledge would lend itself well to students who wish to start their own businesses in the logistics and supply chain management area.
• You will leave with academic knowledge that would be well desired in a PhD in this field.