Last modified: 05 Aug 2021 13:04
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.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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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.
| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| 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 | |
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Gain the ability to describe the technologies that drive the advancement of Fintech and Big Data. |
| Conceptual | Understand | Understand why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions. |
| Conceptual | Understand | Understand the ethical and privacy issues that could affect the advancement and the application of Fintech and Big Data |
| Reflection | Create | Students will develop the ability to assess data using online resources and assemble these data for carrying out research. |
| Reflection | Evaluate | Develop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision. |
| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| 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. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Understand why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions. |
| Factual | Remember | Becoming proficient in describing Big Data, its characteristics, structures and their sources. |
| Factual | Understand | Understand and analyse wealth and investment management solutions. |
| Procedural | Analyse | Develop the ability to analyse different types of Fintech payment solutions and their applications in addressing real-world solutions. |
| Reflection | Evaluate | Develop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision. |
| Reflection | Evaluate | Develop the ability to distinguish between different types of Crowdfunding, their applications and reward system |
| Assessment Type | Summative | Weighting | 40 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| 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 | |
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Gain the ability to describe the technologies that drive the advancement of Fintech and Big Data. |
| Conceptual | Understand | Understand why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions. |
| Conceptual | Understand | Understand the ethical and privacy issues that could affect the advancement and the application of Fintech and Big Data |
| Reflection | Create | Students will develop the ability to assess data using online resources and assemble these data for carrying out research. |
| Reflection | Evaluate | Develop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
A Turnitin similarity report should be submitted along the assessment. |
Word Count | ||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Conceptual | Understand | Understand why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions. |
| Procedural | Analyse | Develop the ability to analyse different types of Fintech payment solutions and their applications in addressing real-world solutions. |
| Factual | Understand | Understand and analyse wealth and investment management solutions. |
| Reflection | Evaluate | Develop the ability to distinguish between different types of Crowdfunding, their applications and reward system |
| Reflection | Create | Students will develop the ability to assess data using online resources and assemble these data for carrying out research. |
| Conceptual | Understand | Gain the ability to describe the technologies that drive the advancement of Fintech and Big Data. |
| Factual | Remember | Becoming proficient in describing Big Data, its characteristics, structures and their sources. |
| Reflection | Evaluate | Develop the ability to determine the right Big Data visualisation methods to reflect the information from data to improve business decision. |
| Conceptual | Analyse | Develop the ability to analyse the application of big data to improve efficiency in the provision of financial services. |
| Conceptual | Understand | Understand the ethical and privacy issues that could affect the advancement and the application of Fintech and Big Data |
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