MSL853: Difference between revisions
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| credits = 3 | | credits = 3 | ||
| credit_structure = 3-0-0 | | credit_structure = 3-0-0 | ||
| pre_requisites = MSL301 & MSL302 | | pre_requisites = [[MSL301]] & [[MSL302]] | ||
| overlaps = | | overlaps = | ||
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== MSL853 : Software project Management == | == MSL853 : Software project Management == | ||
This course may expose the participants to the following topics: IT Evolution and its implications for business, IT Productivity Paradox - Issues and Implications, Impact of IS in the Networked Economy, Reasons for success and failure of IT projects, Disaster planning, Approaches to IS Development (e.g. Portfolio approaches), Technology Justification and Alignment Models, Strategic impact of IT / IS, Role of the CIO and challenges in business continuity. MSL854 Big Data Analytics & Data Science 1.5 Credits (1.5-0-0) This course may expose the student to the following themes within the discipline: Introduction to Data Science and Data Scientists, Introduction to Big Data, Theories in Data Science, Big data technologies, Large query data sets and associated theories, Exploring the Hadoop Ecosystem, Information management in Big Data and Emerging Issues. | This course may expose the participants to the following topics: IT Evolution and its implications for business, IT Productivity Paradox - Issues and Implications, Impact of IS in the Networked Economy, Reasons for success and failure of IT projects, Disaster planning, Approaches to IS Development (e.g. Portfolio approaches), Technology Justification and Alignment Models, Strategic impact of IT / IS, Role of the CIO and challenges in business continuity. [[MSL854]] Big Data Analytics & Data Science 1.5 Credits (1.5-0-0) This course may expose the student to the following themes within the discipline: Introduction to Data Science and Data Scientists, Introduction to Big Data, Theories in Data Science, Big data technologies, Large query data sets and associated theories, Exploring the Hadoop Ecosystem, Information management in Big Data and Emerging Issues. | ||
Latest revision as of 16:41, 14 April 2026
| MSL853 | |
|---|---|
| Software project Management | |
| Credits | 3 |
| Structure | 3-0-0 |
| Pre-requisites | MSL301 & MSL302 |
| Overlaps | |
MSL853 : Software project Management
This course may expose the participants to the following topics: IT Evolution and its implications for business, IT Productivity Paradox - Issues and Implications, Impact of IS in the Networked Economy, Reasons for success and failure of IT projects, Disaster planning, Approaches to IS Development (e.g. Portfolio approaches), Technology Justification and Alignment Models, Strategic impact of IT / IS, Role of the CIO and challenges in business continuity. MSL854 Big Data Analytics & Data Science 1.5 Credits (1.5-0-0) This course may expose the student to the following themes within the discipline: Introduction to Data Science and Data Scientists, Introduction to Big Data, Theories in Data Science, Big data technologies, Large query data sets and associated theories, Exploring the Hadoop Ecosystem, Information management in Big Data and Emerging Issues.