Standard pathway

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.

Post-MITx MicroMasters in Supply Chain Management Pathway

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.