MDD801: Difference between revisions
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| credits = 3 | | credits = 3 | ||
| credit_structure = 0-0-6 | | credit_structure = 0-0-6 | ||
| pre_requisites = MSL713 | | pre_requisites = [[MSL713]] | ||
| overlaps = | | overlaps = | ||
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== MDD801 : MBA project == | == MDD801 : MBA project == | ||
The topic for the major project would be a generic one, pertaining to a management problem/issue related to any functional area viz. finance, operations, strategy, HR, marketing, IT, econometrics etc. Latest management & research tools and techniques would be applied in the analysis. The project would also be evaluated by an external expert. Each MBA project would be unique and the contents would be decided on the advice of the project supervisor. MDL801 Managing Digital Transformation 1.5 Credits (1.5-0-0) Making sense of ‘digital' and ‘digital transformation', digital competencies and contested boundaries in the information age, data as catalyst for digital transformation, achieving customer centricity through data integration, products vs. platforms and multi-sided markets, dynamics of renewal through digital transformation, organizational alignment for digital transformation, balancing g mainstream and new stream businesses coming from digital channel, technology leadership at large firms, open innovation & crowdsourcing, virtual reality, internet of things (IoT), AI, blockchain, big data. Data Uses: legal and ethical considerations, such as data breaches, GDPR, and California data protection rules, Recent trends review and what the future holds. | The topic for the major project would be a generic one, pertaining to a management problem/issue related to any functional area viz. finance, operations, strategy, HR, marketing, IT, econometrics etc. Latest management & research tools and techniques would be applied in the analysis. The project would also be evaluated by an external expert. Each MBA project would be unique and the contents would be decided on the advice of the project supervisor. [[MDL801]] Managing Digital Transformation 1.5 Credits (1.5-0-0) Making sense of ‘digital' and ‘digital transformation', digital competencies and contested boundaries in the information age, data as catalyst for digital transformation, achieving customer centricity through data integration, products vs. platforms and multi-sided markets, dynamics of renewal through digital transformation, organizational alignment for digital transformation, balancing g mainstream and new stream businesses coming from digital channel, technology leadership at large firms, open innovation & crowdsourcing, virtual reality, internet of things (IoT), AI, blockchain, big data. Data Uses: legal and ethical considerations, such as data breaches, GDPR, and California data protection rules, Recent trends review and what the future holds. | ||
Latest revision as of 16:39, 14 April 2026
| MDD801 | |
|---|---|
| MBA project | |
| Credits | 3 |
| Structure | 0-0-6 |
| Pre-requisites | MSL713 |
| Overlaps | |
MDD801 : MBA project
The topic for the major project would be a generic one, pertaining to a management problem/issue related to any functional area viz. finance, operations, strategy, HR, marketing, IT, econometrics etc. Latest management & research tools and techniques would be applied in the analysis. The project would also be evaluated by an external expert. Each MBA project would be unique and the contents would be decided on the advice of the project supervisor. MDL801 Managing Digital Transformation 1.5 Credits (1.5-0-0) Making sense of ‘digital' and ‘digital transformation', digital competencies and contested boundaries in the information age, data as catalyst for digital transformation, achieving customer centricity through data integration, products vs. platforms and multi-sided markets, dynamics of renewal through digital transformation, organizational alignment for digital transformation, balancing g mainstream and new stream businesses coming from digital channel, technology leadership at large firms, open innovation & crowdsourcing, virtual reality, internet of things (IoT), AI, blockchain, big data. Data Uses: legal and ethical considerations, such as data breaches, GDPR, and California data protection rules, Recent trends review and what the future holds.