| CODE | CIS5220 | ||||||||||||||||
| TITLE | Advanced Business Intelligence | ||||||||||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | ||||||||||||||||
| MQF LEVEL | 7 | ||||||||||||||||
| ECTS CREDITS | 5 | ||||||||||||||||
| DEPARTMENT | Computer Information Systems | ||||||||||||||||
| DESCRIPTION | The purpose of this study-unit is to provide students with the knowledge and skills to design, develop, apply and research business intelligence systems. Business Intelligence is a growing area that focuses on developing solutions for real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data. Business intelligence (BI) is rapidly becoming of critical importance in a range of industries to provide a competitive advantage and opportunities. Through exploring a range of technologies such as Cloud Computing and Machine Learning, students will gain a greater understanding of technological advances, and how these relate to ‘Big Data’ and how data influences the decision making processes for businesses. Students will gain skills in the latest cutting edge tools and technologies which will give skills and experience that can be transferable across different sectors. Study-unit Aims: The principal aims of this study unit it to comprehensively cover business issues relating to deriving intelligence from various data sources for decision making purposes. Students will learn that required skills to drive improved decision making process for senior management based on understanding data. Students will know the importance of understanding the short and long term goals of the organisation and how these impact the decision making process. Student will use BI tools that enable data analysis, predictive analytics, and data visualisation to assist in the delivery of delivering real-time decision-supporting intelligence. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - Understand the main concepts and principles behind modern BI systems. - Identify the major frameworks of computerized decision support: decision support systems (DSS), data analytics and business intelligence (BI). - Understand the foundations, definitions, and capabilities of DSS, data analytics and BI. - List the definitions, concepts, and architectures of data warehousing. - Demonstrate the impact of business reporting, information visualization, and dashboards. - Understand data mining, neural networks, support vector machines, text analytics, text mining, sentiment analysis, web mining, web analytics, social analytics, social network analysis. 2. Skills: By the end of the study-unit the student will be able to: - Critically demonstrate the strategic value of information, data management, and Business Intelligence to corporate decision-making activities. - Apply problem solving and decision-making techniques in order to evaluate the requirements for information and data in business context. - Critically analyse large corporate datasets using complementary big data analytics/ business analytics tools to generate insights and provide alternative solutions to an organisation's complex problem. - Work in a collaborative group to apply advanced knowledge of social and management practices/principles/theories to the application and/or implication of Business Intelligence (BI) related activities. Main Text/s and any supplementary readings: Successful Business Intelligence, Second Edition: Unlock the Value of BI & Big Data. Cindi Howson, McGraw Hill Education. (ISBN-13: 978-0071809184) Business Intelligence Guidebook: From Data Integration to Analytics. Rick Sherman, Morgan Kaufman. (ISBN-13: 978-0124114616) |
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| ADDITIONAL NOTES | Pre-requisite Qualification: An undergraduate study-unit in BI | ||||||||||||||||
| STUDY-UNIT TYPE | Lecture | ||||||||||||||||
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2025/6. It may be subject to change in subsequent years. |
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