Master's In Supply Chain Management - Top B-school

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PROGRAMME ARCHITECTURE The GMP Academic Council
has carefully crafted the curriculum keeping in
mind the following Courses that are fundamental
to SPJIMR values, pedagogy and philosophy Courses
that are relevant to todays VUCA world Courses
that would make you future ready for the
corporate sector Courses that the partner
schools would need for credit transfer. There
are 16 courses that are fundamental to SPJIMR
these are compulsory for all participants. From
the list of electives, you will have to select 9
credits (excluding language). For participants
joining European partner Schools after GMP, will
have to take two credits for language courses
(German, French or Dutch). For participants
joining US partner Schools after GMP, will have
to select 11 credits from the list of electives.
The total credits for the GMP programme is 27.
There are certain courses in the list of
electives offered, which are compulsory for
specific tracks. This will be communicated by
GMP Office. The courses that are mentioned over
here are tentative and can change from time to
time depending on inputs from GMP Academic
Council and partner schools requirements. GMP
programme is divided into three phases
Foundation Courses, Compulsory Courses, and
Electives. A representative programme
architecture is given below
Foundation Compulsory Courses Electives
Course Details Course Details Course Details
Case Study Method Quantitative Methods Business Analytics
Learning to Learn Business Research Methods Project Management
Science of Spirituality Global Macroeconomics Supply Chain Management
Business Communication Design Thinking Digital Marketing
Business Spreadsheet Modelling Global Production Management iBizSim Business Simulation
Microeconomics Business Strategy Report Writing and Presentation
Personal Growth Lab Marketing Management Strategic Finance
Financial Accounting Statement Analysis Decision Sciences Advance Topics in Project Management
R and R Studio Marketing Strategy
Management Accounting AI ML with Python
Corporate Finance Basic Econometrics
Capital Markets
Python for Finance and Analytics
Financial Mathematics
Applied Econometrics
Advanced Capital Markets
Advanced Corporate Finance
Corporate Valuation
Language
6 Credits 10 Credits 11 Credits (US Partner School) 9 Credits 2 Credits language (European Partner School)
Electives will vary depending on the
specialization selected by the participants with
their respective partner schools.
A mix of global curriculum and faculty, classroom
sessions and non-classroom activities and
simulations provide a diverse learning
experience. Each course can be anywhere between
0.5 credit to 2.0 credits. Typically, a credit
requires 16 to 18 sessions of 70 mins each. This
is substantiated with pre-reading, post-reading,
assignments, group work activities and tests,
quizzes and exams.