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  6. IB551S: Fintech and Big Data

IB551S: FINTECH AND BIG DATA (2022-2023)

Last modified: 31 Jul 2023 11:19


Course Overview

Expand your knowledge of financial technology (Fintech) and Big Data through gaining knowledge and understanding of recent advances and transformational changes that are taking place in many areas of the finance industry.

This course will give you an understanding of advancements in technology, from blockchain to mobile access internet and machine learning. You will have the opportunity to learn how these new innovations are leading to improved decision making and increased efficiency through insights generated from data.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor Angela Black

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

Financial Technology (Fintech) and Big Data are fast becoming household names in financial services. Fintech leverages on the advancements in technology, from blockchain to mobile access internet and machine learning, to develop new ways of providing financial services. At the same time, the explosive Big Data offers opportunities for new and incumbent players to improve decision making and increase efficiency through insights generated from data. These advances have brought transformational changes in many areas of the finance industry. The overarching aim of this course is to introduce you to the concepts of Financial Technology (Fintech) and Big Data, their application and challenges.

By the end of this course, you will: 

  • Have knowledge of the recent innovations in financial technology that are reshaping the financial services.
  • Be able to demonstrate knowledge of Fintech domestic and cross border payment innovations
  • Gain an understanding of Fintech application in Wealth and Investment Management
  • Develop the ability to describe the key technologies that drive Fintech innovations in financial services.
  • Be introduced to the concept of Big Data, its sources, pre-processing methods, integration and storage.
  • Develop knowledge of different types of data storage and integration methods.
  • Gain an understanding of methods of Big Data visualisation and the ability to describe advanced data analysis tools and methods.
  • Be introduced to the concept of Big Data, its sources, pre-processing methods, integration and storage.
  • Gain an understanding of the rationale for Fintech regulations and data protection and how they can affect innovations in the financial industry.
  • Be provided with a supportive environment which enables you to become proficient at identifying how Fintech and Big Data can be used to solve real-world challenges

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Class Test

Assessment Type Summative Weighting 30
Assessment Weeks Feedback Weeks

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Feedback

Six short answer questions. 300 words each.
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.
ConceptualAnalyseDevelop the ability to analyse how the application of different technologies the application of Big Data to improve efficiency in the provision of financial services.
ConceptualAnalyseDevelop the ability to analyse different types of Fintech payment solutions and their applications in addressing real world solutions.
ConceptualEvaluateDevelop the ability to distinguish between different types of crowdfunding, their applications and reward system.
ConceptualUnderstandDevelop an understanding of why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
ConceptualUnderstandBe able to describe Big Data, its characteristics, structures and their sources.
FactualAnalyseDevelop understand and an ability to analyse wealth and investment management solutions.

Essay

Assessment Type Summative Weighting 30
Assessment Weeks Feedback Weeks

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Feedback Word Count 1500
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.
ConceptualApplyDevelop the ability to assess data using online resources and assemble these data for carrying out research.
ConceptualEvaluateBe able to evaluate the technologies that drive the advancement of Fintech and Big Data
ConceptualUnderstandDevelop an understanding of why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
FactualUnderstandDemonstrate understanding of the financial system regulations and how they apply to Fintech industry.

Essay

Assessment Type Summative Weighting 40
Assessment Weeks Feedback Weeks

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Feedback Word Count 2000
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.
ConceptualApplyDevelop the ability to assess data using online resources and assemble these data for carrying out research.
ConceptualEvaluateBe able to evaluate the technologies that drive the advancement of Fintech and Big Data
ConceptualUnderstandDevelop an understanding of why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
FactualUnderstandDemonstrate understanding of the financial system regulations and how they apply to Fintech industry.

Formative Assessment

Online Activities

Assessment Type Formative Weighting 0
Assessment Weeks Feedback Weeks

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Feedback

18 online activities with individual feedback provided through personal interaction with tutor. Detailed feedback is given for correct and incorrect answers in online activities.

Reflective workbook completed throughout course.
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualAnalyseDevelop the ability to analyse different types of Fintech payment solutions and their applications in addressing real world solutions.
ConceptualAnalyseDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.
ConceptualAnalyseDevelop the ability to analyse how the application of different technologies the application of Big Data to improve efficiency in the provision of financial services.
ConceptualApplyDevelop the ability to assess data using online resources and assemble these data for carrying out research.
ConceptualEvaluateDevelop the ability to distinguish between different types of crowdfunding, their applications and reward system.
ConceptualEvaluateBe able to evaluate the technologies that drive the advancement of Fintech and Big Data
ConceptualUnderstandDevelop an understanding of why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
ConceptualUnderstandBe able to describe Big Data, its characteristics, structures and their sources.
FactualAnalyseDevelop understand and an ability to analyse wealth and investment management solutions.
FactualUnderstandDemonstrate understanding of the financial system regulations and how they apply to Fintech industry.

Resit Assessments

Essay

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Feedback Word Count 2500
Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualUnderstandDevelop an understanding of why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
ConceptualAnalyseDevelop the ability to analyse different types of Fintech payment solutions and their applications in addressing real world solutions.
FactualAnalyseDevelop understand and an ability to analyse wealth and investment management solutions.
ConceptualEvaluateDevelop the ability to distinguish between different types of crowdfunding, their applications and reward system.
ConceptualUnderstandBe able to describe Big Data, its characteristics, structures and their sources.
ConceptualAnalyseDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.
ConceptualAnalyseDevelop the ability to analyse how the application of different technologies the application of Big Data to improve efficiency in the provision of financial services.
FactualUnderstandDemonstrate understanding of the financial system regulations and how they apply to Fintech industry.
ConceptualApplyDevelop the ability to assess data using online resources and assemble these data for carrying out research.
ConceptualEvaluateBe able to evaluate the technologies that drive the advancement of Fintech and Big Data
 

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