In the MSc Finance and FinTech programme, you will specialise in digital banking and payment systems, Python programming and finance applications of machine learning algorithms.
The advances in financial technology have brought about transformational changes in many branches of the finance industry. The introduction of blockchain technology and digital currencies have created a revolution in payment systems. It has also generated widespread disintermediation via peer-to-peer lending and crowdfunding for firms, and online stockbroking and robo-advisory services for individual investors. Many of these innovations are based on the processing of large amounts of data (or “Big Data”) via machine learning algorithms.
In this MSc course, you will gain an in-depth understanding of big data in finance and insurance. You will also learn about emerging technologies including blockchain and cryptocurrencies. Through trading simulations, you will learn about securities, futures and options and algorithmic trading. In this MSc programme, you'll also explore FinTech regulation and the challenges posed by data protection and cyber security. You will have the opportunity to complete the KNIME Level 1 Certification and develop your proficiency in the open source platform for data driven innovation.
Here at Henley we have an award-winning careers team here to support you through your time here and four years after graduating from us.
Here is how Henley Careers can help you:
* Please note that due to increasing competition for places on our Masters programmes our entry requirements may change.
We operate a rolling admissions system and you are therefore advised to apply early in order to be sure of your place on our programmes. We experience high levels of demand, and it is possible we might have to close applications to some programmes once places are filled.
Studying in a second language can be challenging. If your English language ability is below the minimum requirement, we may ask for evidence of proficiency. Alternatively, we may ask you to attend an English language course before you begin your studies with us.
| Requirement | Criteria |
|---|---|
| IELTS | 6.5 with no component below 6.0 in any sub-skills |
| IELTS with pre-sessional English | 6.5 with no component below 5.5 in each of the four sub-skills |
Exclusively available to Henley Business School offer holders, the Pre-Masters course suite comprises of innovative short courses designed and developed by Henley faculty on the Futurelearn platform, one of the leading online learning platforms.
| Optional modules | Credits |
|---|---|
| N/A | |
| N/A | |
| N/A |
Below is a list of programme modules that will be available in 2022/23. Please note that some of these modules are new for 2022/23, and full module descriptions will be released in March 2022. For any other modules which are available for both this academic year (2021/22) and next (2022/23), follow the “More Information” link to see more.
| Compulsory modules | Credits |
|---|---|
| 10 | |
| 20 | |
| 0 | |
| 30 | |
| 20 |
| Compulsory modules | Credits |
|---|---|
| 20 | |
| 20 | |
| 10 | |
| 10 |
Students of the 12-month (9-month) programme select 20 (40) credits from a selection of electives :
| Optional modules | Credits |
|---|---|
| 0 | |
| 20 | |
| 20 | |
| 10 | |
| 10 | |
| 20 | |
| 20 | |
| 20 | |
| 20 | |
| 20 |
Additional optional modules only open to students with computer science or engineering background (choose 1 only)
| Optional modules | Credits |
|---|---|
| 20 | |
| 20 |
Students on the 12-months programme should take 20 credits from the following:
| Optional modules | Credits |
|---|---|
| 20 | |
| 20 | |
| 20 | |
| 10 | |
| 10 | |
| 10 |
In the MSc Finance and FinTech programme, you will specialise in digital banking and payment systems, Python programming and finance applications of machine learning algorithms.
The advances in financial technology have brought about transformational changes in many branches of the finance industry. The introduction of blockchain technology and digital currencies have created a revolution in payment systems. It has also generated widespread disintermediation via peer-to-peer lending and crowdfunding for firms, and online stockbroking and robo-advisory services for individual investors. Many of these innovations are based on the processing of large amounts of data (or “Big Data”) via machine learning algorithms.
In this MSc course, you will gain an in-depth understanding of big data in finance and insurance. You will also learn about emerging technologies including blockchain and cryptocurrencies. Through trading simulations, you will learn about securities, futures and options and algorithmic trading. In this MSc programme, you'll also explore FinTech regulation and the challenges posed by data protection and cyber security. You will have the opportunity to complete the KNIME Level 1 Certification and develop your proficiency in the open source platform for data driven innovation.
Here at Henley we have an award-winning careers team here to support you through your time here and four years after graduating from us.
Here is how Henley Careers can help you:
* Please note that due to increasing competition for places on our Masters programmes our entry requirements may change.
We operate a rolling admissions system and you are therefore advised to apply early in order to be sure of your place on our programmes. We experience high levels of demand, and it is possible we might have to close applications to some programmes once places are filled.
Studying in a second language can be challenging. If your English language ability is below the minimum requirement, we may ask for evidence of proficiency. Alternatively, we may ask you to attend an English language course before you begin your studies with us.
| Requirement | Criteria |
|---|---|
| IELTS | 6.5 with no component below 6.0 in any sub-skills |
| IELTS with pre-sessional English | 6.5 with no component below 5.5 in each of the four sub-skills |
Exclusively available to Henley Business School offer holders, the Pre-Masters course suite comprises of innovative short courses designed and developed by Henley faculty on the Futurelearn platform, one of the leading online learning platforms.
| Optional modules | Credits |
|---|---|
| N/A | |
| N/A | |
| N/A |
Below is a list of programme modules that will be available in 2022/23. Please note that some of these modules are new for 2022/23, and full module descriptions will be released in March 2022. For any other modules which are available for both this academic year (2021/22) and next (2022/23), follow the “More Information” link to see more.
| Compulsory modules | Credits |
|---|---|
| 10 | |
| 20 | |
| 0 | |
| 30 | |
| 20 |
| Compulsory modules | Credits |
|---|---|
| 20 | |
| 20 | |
| 10 | |
| 10 |
Students of the 12-month (9-month) programme select 20 (40) credits from a selection of electives :
| Optional modules | Credits |
|---|---|
| 0 | |
| 20 | |
| 20 | |
| 10 | |
| 10 | |
| 20 | |
| 20 | |
| 20 | |
| 20 | |
| 20 |
Additional optional modules only open to students with computer science or engineering background (choose 1 only)
| Optional modules | Credits |
|---|---|
| 20 | |
| 20 |
Students on the 12-months programme should take 20 credits from the following:
| Optional modules | Credits |
|---|---|
| 20 | |
| 20 | |
| 20 | |
| 10 | |
| 10 | |
| 10 |
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