The aims of this module are:

• To provide students with an in-depth understanding of the principles of data analysis in the context of analytics and management science problems.
• To enable students to develop numerical reasoning, analytical skills and competency to apply a range of statistical models to datasets and interpret their results.
• To provide students with practical experience of analysing real world datasets using analytics software tools such as SAS or equivalent.
• To provide a firm basis for the Customer Analytics module in semester 2.

The aims of this module are:

• to provide an understanding of the techniques and tools used to model and support management decisions;
• to develop skills in analysing and modelling management situations and in applying the models, methods and computer software to address the decision problems faced;
• to develop the ability of interpreting and analysing solution results and computer software outputs in the business and management context.

The aims of this module are:

• to understand various processes involved in big data analytics
• to understand and experience python and other programming approaches to big data
• to develop a critical and practical appreciation of activities and factors involved in organising big data analytics initiatives and projects
• to understand the skills and capabilities required for leading big data analytics applications
• to build the project management skills required for successful leadership of big data analytics initiatives and projects.

The aims of this module are:

• to introduce a range of fundamental analytical tools and techniques to design and plan integrated supply chain and logistics operations;
• to develop skills in applying predictive and prescriptive techniques to solve decision making problems related to these operations.

The aims of this module are:

• to develop an understanding of research design in the context of a supply chain management project;
• to equip students with the skills required to define a supply chain management problem, review the relevant literature, and decide a methodological approach for data collection and analysis.

A central component of the programme is the MIT SCALE Connect residential, which takes place over three weeks at the MIT campus in Boston Massachusetts, and involves participants from across the Global SCALE Network.

During this period, students will engage in a series of career development workshops, seminars, and industry talks.

They will also receive advanced training in areas such as data visualisation, Python, machine learning, and Llamasoft, and participate in facility tours and team-based challenges.

The residential concludes with a Research Expo, where students present their work on industry-sponsored and other real-world research projects.

The aims of this module are:

• to develop an understanding of research design in the context of a supply chain management project;
• to equip students with the skills required to define a supply chain management problem, review the relevant literature, and decide a methodological approach for data collection and analysis.

A central component of the programme is the MIT SCALE Connect residential, which takes place over three weeks at the MIT campus in Boston Massachusetts, and involves participants from across the Global SCALE Network.

During this period, students will engage in a series of career development workshops, seminars, and industry talks.

They will also receive advanced training in areas such as data visualisation, Python, machine learning, and Llamasoft, and participate in facility tours and team-based challenges.

The residential concludes with a Research Expo, where students present their work on industry-sponsored and other real-world research projects.

The aims of this module are:

• to develop an understanding of research design in the context of a supply chain management project;
• to equip students with the skills required to define a supply chain management problem, review the relevant literature, and decide a methodological approach for data collection and analysis.

The aims of this module are:

• Cover a wide range of approaches to customer analytics for a better understanding of enterprises, business and market, and enhanced business decision making.
• Develop the ability to interpret analytical information with emphasis on the use of industry-leading software tools.
• Develop skills in analysis and modelling of management situations and a sophisticated approach to evaluation of alternatives in complex scenarios.

The aims of this module are:

• to introduce key decisions and challenges of supply chain planning and network design in the uncertain environment of contemporary supply chains with multiple business objectives;
• to equip students with skills in applying fundamental quantitative methods to address real world motivated supply chain network design and planning problems.

The aims of this module are:

• to introduce and discuss the predominant contemporary topics in supply chain management including digitalisation, circular economy and supply chain resilience;
• to illustrate the complexity of global supply networks in a wide range of industries.

The aim of this module is to give students an understanding of how to manage projects and their risks for both the individual managing their own and for the team leader managing a larger-scale project. The emphasis is on getting a quality product or service delivered on time and within budget.

The aims of this module are:

• to develop an understanding of research design in the context of a supply chain management project;
• to equip students with the skills required to define a supply chain management problem, review the relevant literature, and decide a methodological approach for data collection and analysis.

The aims of this module are:

• to cover a wide range of approaches to customer analytics for a better understanding of enterprises, business and market, and enhanced business decision making;
• to develop the ability to interpret analytical information with emphasis on the use of industry-leading software tools;
• to develop skills in analysis and modelling of management situations and a sophisticated approach to evaluation of alternatives in complex scenarios.

The aims of this module are:

• to introduce key decisions and challenges of supply chain planning and network design in the uncertain environment of contemporary supply chains with multiple business objectives;
• to equip students with skills in applying fundamental quantitative methods to address real world motivated supply chain network design and planning problems.

The aims of this module are:

• to introduce and discuss the predominant contemporary topics in supply chain management including digitalisation, circular economy and supply chain resilience;
• to illustrate the complexity of global supply networks in a wide range of industries.

The aim of this module is to give students an understanding of how to manage projects and their risks for both the individual managing their own and for the team leader managing a larger-scale project. The emphasis is on getting a quality product or service delivered on time and within budget.

The aims of this module are:

• to develop knowledge of the fundamental steps required to complete and deliver a research project in a supply chain management context;
• to provide students with the opportunity to apply appropriate analytical methods, techniques and tools to solve a business problem of supply chain operations planning;
• to integrate theoretical subject-specific knowledge with a practical application in coordination with industry experts or researchers;
• to develop an understanding of research design in the context of a supply chain management project.

The aims of this module are:

• to develop knowledge of the fundamental steps required to complete and deliver a research project in a supply chain management context;
• to provide students with the opportunity to apply appropriate analytical methods, techniques and tools to solve a business problem of supply chain operations planning;
• to integrate theoretical subject-specific knowledge with a practical application in coordination with industry experts or researchers;
• to develop an understanding of research design in the context of a supply chain management project.