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Last modified: 31 Jul 2023 11:19
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.
Study Type | Postgraduate | Level | 5 |
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Term | Second 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 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:
Assessment Type | Summative | Weighting | 30 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback | Word Count | 1500 |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
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Assessment Type | Summative | Weighting | 30 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Six short answer questions. 300 words each. |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
|
Assessment Type | Summative | Weighting | 40 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback | Word Count | 2000 |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
|
Assessment Type | Formative | Weighting | 0 | |
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Assessment Weeks | Feedback Weeks | |||
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. |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
|
Assessment Type | Summative | Weighting | 100 | |
---|---|---|---|---|
Assessment Weeks | Feedback Weeks | |||
Feedback | Word Count | 2500 |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
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Knowledge Level | Thinking Skill | Outcome |
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Conceptual | Understand | Develop an understanding of why entities such as individuals and businesses prefer the services of Fintech over traditional financial services institutions. |
Conceptual | Analyse | Develop the ability to analyse different types of Fintech payment solutions and their applications in addressing real world solutions. |
Factual | Analyse | Develop understand and an ability to analyse wealth and investment management solutions. |
Conceptual | Evaluate | Develop the ability to distinguish between different types of crowdfunding, their applications and reward system. |
Conceptual | Understand | Be able to describe Big Data, its characteristics, structures and their sources. |
Conceptual | Analyse | 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 how the application of different technologies the application of Big Data to improve efficiency in the provision of financial services. |
Factual | Understand | Demonstrate understanding of the financial system regulations and how they apply to Fintech industry. |
Conceptual | Apply | Develop the ability to assess data using online resources and assemble these data for carrying out research. |
Conceptual | Evaluate | Be able to evaluate the technologies that drive the advancement of Fintech and Big Data |
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