University home > Unit and programme catalogues in 2021/22 > Programme catalogue > Faculty of Engineering > School of Engineering Mathematics and Technology > Financial Technology with Data Science (MSc) > Specification
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Programme code | 4COSC001T |
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Programme type | Postgraduate Taught Degree |
Programme director(s) |
John Cartlidge
|
Faculty | Faculty of Engineering |
School/department | School of Engineering Mathematics and Technology |
Teaching institution | University of Bristol |
Awarding institution | University of Bristol |
Mode of study | Full or Part Time |
Programme length |
1 years (full time)
2 years (part time) |
This MSc programme aims to:
• Equip graduates with the ability to work across disciplinary boundaries in the effective application and deployment of financial technology and data-driven finance solutions.
• Produce graduates with demonstratable breadth and depth of knowledge and skills in the computational, machine learning, and statistical principles for insightful large-scale financial data analysis.
• Provide graduates with the ability to specify and implement analytical pipelines for real-world data at scale.
• Give graduates a good understanding of the ethical issues in the application of contemporary financial technologies and be conversant with arguments concerning the risks and potential benefits and disbenefits arising from the deployment of these technologies.
• Enable graduates to independently initiate financial technology projects specified at a high-level perspective, leading them from scoping onwards to completion, while exercising appropriate project management methods and maintaining stakeholder engagement.
Graduates from this MSc will be keenly sought after in a range of technology roles in the financial services sector, as well as roles such as lead data scientists or lead data engineers in other industries. Graduates will be capable of critically evaluating and synthesising research literature, developing and deploying scalable financial technology systems, and communicating with others in their field and in other disciplines. Top graduates from this degree will be able to pro-actively advance the development of data-driven finance and financial technology.
Programme Intended Learning Outcomes | Learning and Teaching Methods |
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|
• Problem-based learning combining lecture elements with practical work (theory and practice). |
Methods of Assessment | |
• Lab quizzes. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
---|---|
|
• Problem-based learning combining lecture elements with practical work (theory and practice). |
Methods of Assessment | |
• Lab quizzes. |
Programme Intended Learning Outcomes | Learning and Teaching Methods |
---|---|
|
• Problem-based learning combining lecture elements with practical work (theory and practice). |
Methods of Assessment | |
• Lab quizzes. |
Statement of expectations from the students at each level of the programme as it/they develop year on year.
Level M/7 - Postgraduate Certificate |
To be eligible for the award of a Postgraduate Certificate, students must successfully complete 60 credits of taught units which develop foundational understanding of the topics covered. |
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Level M/7 - Postgraduate Diploma |
To be eligible for the award of a Diploma, students must successfully complete 120 credits of taught units. Further units provide opportunities for students to deepen their understanding and develop intellectual skills. By the end of this stage students are expected to have developed considerable individual self-sufficiency and autonomy in learning. |
Level M/7 - Postgraduate Masters |
To be eligible for an MSc award, 180 credits from the taught modules plus the dissertation must be successfully completed. At this stage, high-performing students will be able to carry out their own project at an industrial-quality or internationally-publishable standard. They will also be able to document and communicate their findings to peers and expert practitioners in the field. Their individual capabilities will be enhanced by teamwork and system delivery skills. |
The intended learning outcome mapping document shows which mandatory units contribute towards each programme intended learning outcome.
For information on the admissions requirements for this programme please see details in the postgraduate prospectus at http://www.bristol.ac.uk/prospectus/postgraduate/ or contact the relevant academic department.
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Large-Scale Data Engineering | EMATM0051 | 20 | Mandatory | TB-1 |
Introduction to Financial Technology | COMSM0093 | 20 | Mandatory | TB-1 |
Introduction to Artificial Intelligence | EMATM0044 | 10 | Mandatory | TB-2 |
Introduction to Data Analytics | COMSM0089 | 10 | Mandatory | TB-2 |
Advanced Financial Technology | COMSM0090 | 20 | Mandatory | TB-2 |
Financial Technology Group Project | COMSM0091 | 20 | Mandatory | TB-2 |
Financial Technology Individual Project | COMSM0092 | 60 | Mandatory | AYEAR |
Select 20 credit points from: | ||||
Software Development: Programming and Algorithms | EMATM0048 | 20 | Optional | TB-1 |
Statistical Computing and Empirical Methods | EMATM0061 | 20 | Optional | TB-1 |
180 |
The pass mark set by the University for any level 7(M) unit is 50 out of 100.
For detailed rules on progression please see the Regulations and Code of Practice for Taught Programmes and the relevant faculty handbook.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to exit from the programme with a postgraduate diploma or certificate.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
An award with Merit or Distinction is permitted for postgraduate taught masters, diplomas and certificates, where these are specifically named entry-level qualifications. An award with Merit or Distinction is not permitted for exit awards where students are required to exit the programme on academic grounds but is permitted in designated programmes (as set out in the programme specification) where students choose to withdraw from the intended programme but otherwise achieve the necessary credit points for the exit award.
The classification of the award in relation to the final programme mark is as follows:
Award with Distinction*: at least 65 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation. **Faculties retain discretion to increase these thresholds.
Award with Merit*: at least 60 out of 100 for the taught component overall and, for masters awards, at least 60 out of 100 for the dissertation. Faculties retain discretion to increase these thresholds.
* The MA in Law has separate regulations for awarding distinction and merit.
** For the award of Distinction, the Faculty of Engineering requires at least 70 out of 100 for the taught component overall and, for masters awards, at least 70 out of 100 for the dissertation.
All taught masters programmes, unless exempted by Senate, must allow the opportunity for students to choose, or be required, to leave at the postgraduate diploma or certificate stage.
To be awarded a postgraduate diploma, students must have successfully completed 120 credit points, of which 90 must be at level M/7.
To be awarded a postgraduate certificate, students must have successfully completed 60 credit points, of which 40 must be at level M/7.
Students may also study part-time over three years.
Unit Name | Unit Code | Credit Points | Status | |
---|---|---|---|---|
Introduction to Artificial Intelligence | EMATM0044 | 10 | Mandatory | TB-2 |
Introduction to Data Analytics | COMSM0089 | 10 | Mandatory | TB-2 |
Introduction to Financial Technology | COMSM0093 | 20 | Mandatory | TB-1 |
Select 20CP from: | ||||
Software Development: Programming and Algorithms | EMATM0048 | 20 | Optional | TB-1 |
Statistical Computing and Empirical Methods | EMATM0061 | 20 | Optional | TB-1 |
Postgraduate Certificate | 60 |
Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided.
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