Checking date: 31/03/2020

Course: 2020/2021

Business Applications of Big Data
Study: Master in Accounting (358)

Coordinating teacher: GARCIA OSMA, BEATRIZ

Department assigned to the subject:

Type: Electives
ECTS Credits: 3.0 ECTS


Students are expected to have completed
This subject is elective but acquires mandatory character for those students who want to obtain ICAC accreditation.
Competences and skills that will be acquired and learning results.
Basic competences CB7 Students know how to apply their acquired knowledge and problem-solving skills in new or unfamiliar settings within broader (or multidisciplinary) contexts related to their field of study. CB8 Students are able to integrate knowledge and to face the complexity of making judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments. CB9 Students know how to communicate their conclusions and the knowledge and ultimate reasons behind them to specialised and non-specialised audiences in a clear and unambiguous way. CB10 Students have the learning skills that will enable them to continue studying in a way that will be largely self-directed or autonomous. General competences CG1 Ability to maintain continuous education after his/her graduation, enabling him/her to cope with new technologies. CG2 Ability to apply the knowledge of skills and research methods related to engineering. CG3 Ability to apply the knowledge of research skills and methods related to Life Sciences. CG4 Ability to contribute to the widening of the frontiers of knowledge through an original research, part of which merits publication referenced at an international level. CG5 Ability to perform a critical analysis and an evaluation and synthesis of new and complex ideas. CG6 Ability to communicate with the academic and scientific community and with society in general about their fields of knowledge in the modes and languages commonly used in their international scientific community. CG7 Ability to diagnose potentially complex real problems by integrating and applying knowledge of different subjects CG8 Acquire the ability to direct the search and learning of any new situation autonomously. CG9 Ability to work in changing areas and anticipate new situations. CG10 Acquire the ability to act ethically and socially responsible in the exercise of the profession Specific competences CE6 To know in depth the International Auditing Standards and to apply the requirements established in said standards for the elaboration and execution of the global audit plan. CE7 Ability to apply advanced techniques to assess the risks of material misstatement in the financial statements and respond to those risks CE9 Ability to apply advanced techniques to determine the value of a company based on its accounting information, systematic risk and atypical projects, as well as to perform a correct and detailed financial planning in different and uncertain scenarios. CE10 Ability to understand the concept of risk and its different types to be able to manage it, and relate it to the different corporate structures (financial and non-financial). CE11 Ability to use advanced techniques to manage each of the risks that affect a company. CE15 Ability to implement measures that guarantee the independence of the auditor through the development of values and ethical commitment. CE18 Capacidad para comprender la importancia de la estadística en la contabilidad, la auditoria y los mercados financieros para sus diferentes aplicaciones avanzadas en análisis de datos, estimación de intervalos de confianza y/o contraste de hipótesis CE19 Acquire the skills to understand the economic and social effects of changes in accounting regulations, and the process of setting accounting standards, the different actors involved, and their ability to influence regulatory bodies.
Description of contents: programme
SUBJECT: Business Applications of Big Data Introduction Big Data and Disruption Deep Learning, AI and Big Data eBusiness /Market Trends Performance Metrics and KPIs for Big Data Evaluation Auditing KPIs through Big Data Performance Functions Capabilities Evaluation Big Data for Corporations, Conglomerates: Accounting ERPs CRM SCM Big Data Business Applications Fintech Internet of Things (IoT) Web 4.0 Blockchain Technologies Blockchain Data Distributed Ledgers Data Crypto Technologies Cloud and Mobile technologies E-business: value chain IT systems security and control
Learning activities and methodology
AF3 Theoretical practical classes AF4 Laboratory practices AF5 Tutorials AF6 Team work AF7 Student individual work AF8 Partial and final exams Activity code total hours number presencial hours number % Student Presence AF3 105 105 100% AF5 70 18 25% AF6 135 0 0% AF7 125 0 0% AF8 15 15 100% SUBJECT TOTAL 450 138 31%
Assessment System
  • % end-of-term-examination 70
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • Ambiga Dhiraj, Michele Chambers, Michael Minelli. Big Data, Big Analytics: Emerging Business Intelligence and Analytic Trends for Today's Businesses. John Wiley & Sons. 2013
  • Himanshu Shah, Nitin Sawant. Big Data Application Architecture Q&A: A Problem - Solution Approach. Apress. 2013

The course syllabus and the academic weekly planning may change due academic events or other reasons.