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BU544P: FINTECH AND BIG DATA (2023-2024)

Last modified: 09 Oct 2023 13:16


Course Overview

Financial Technology (Fintech) and Big Data are fast becoming household names in the financial services. While Fintech leverages on the advancements in technology from Blockchain and mobile access internet to Machine Learning to develop new ways of providing financial services, the explosive big data offers opportunities for new and incumbent players to improve decision making and increase efficency through insights 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 and their application and challenges.

Course Details

Study Type Postgraduate Level 5
Term First Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Weihao Han

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?

None.

Are there a limited number of places available?

No

Course Description

Financial Technology (Fintech) and Big Data are fast becoming household names in the financial services. While Fintech leverages on the advancements in technology from Blockchain and mobile access internet to Machine Learning to develop new ways of providing financial services, the explosive big data offers opportunities for new and incumbent players to improve decision making and increase efficency through insights 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 and their application and challenges.


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Essay

Assessment Type Summative Weighting 40
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback

Assessment should be submitted by the Friday 23:59 of Week 8 of the course. A Turnitin similarity report should be submitted along the assessment. 

Written feedback will be provided by the tutor.

Word Count 2000
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualUnderstandGain the ability to describe the technologies that drive the advancement of Fintech and Big Data.
ConceptualUnderstandUnderstand why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
ConceptualUnderstandUnderstand the ethical and privacy issues that could affect the advancement and the application of Fintech and Big Data
ReflectionCreateStudents will develop the ability to assess data using online resources and assemble these data for carrying out research.
ReflectionEvaluateDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.

Essay

Assessment Type Summative Weighting 30
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback

Assessment should be submitted by the Friday 23:59 of Week 8 of the course. A Turnitin similarity report should be submitted along the assessment. 

Written feedback will be provided by the tutor.

Word Count 1500
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualUnderstandUnderstand why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
ConceptualUnderstandUnderstand the ethical and privacy issues that could affect the advancement and the application of Fintech and Big Data
ConceptualUnderstandGain the ability to describe the technologies that drive the advancement of Fintech and Big Data.
ReflectionCreateStudents will develop the ability to assess data using online resources and assemble these data for carrying out research.
ReflectionEvaluateDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.

Class Test

Assessment Type Summative Weighting 30
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback

Assessment should be submitted by the Friday 23:59 of Week 8 of the course. A Turnitin similarity report should be submitted along the assessment. 

Written feedback will be provided by the tutor.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ConceptualUnderstandUnderstand why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
FactualRememberBecoming proficient in describing Big Data, its characteristics, structures and their sources.
FactualUnderstandUnderstand and analyse wealth and investment management solutions.
ProceduralAnalyseDevelop the ability to analyse different types of Fintech payment solutions and their applications in addressing real-world solutions.
ReflectionEvaluateDevelop the ability to distinguish between different types of Crowdfunding, their applications and reward system
ReflectionEvaluateDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.

Formative Assessment

There are no assessments for this course.

Resit Assessments

Essay

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

Look up Week Numbers

Feedback

A Turnitin similarity report should be submitted along the assessment.

Word Count
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
FactualUnderstandUnderstand and analyse wealth and investment management solutions.
ReflectionCreateStudents will develop the ability to assess data using online resources and assemble these data for carrying out research.
ConceptualUnderstandUnderstand the ethical and privacy issues that could affect the advancement and the application of Fintech and Big Data
ConceptualUnderstandGain the ability to describe the technologies that drive the advancement of Fintech and Big Data.
ConceptualUnderstandUnderstand why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions.
ProceduralAnalyseDevelop the ability to analyse different types of Fintech payment solutions and their applications in addressing real-world solutions.
ConceptualAnalyseDevelop the ability to analyse the application of big data to improve efficiency in the provision of financial services.
ReflectionEvaluateDevelop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision.
ReflectionEvaluateDevelop the ability to distinguish between different types of Crowdfunding, their applications and reward system
FactualRememberBecoming proficient in describing Big Data, its characteristics, structures and their sources.

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