Award Requirements
Students are required to complete 30 credits for MSc in Blockchain Technology. In general, each subject takes place once a week in the evening over a 13-week semester. Full-time students normally take five subjects in a semester, whereas part-time students usually take two or three subjects. Some subjects might also be offered during the summer to provide greater flexibility to students in designing their study pattern.
Awards
|
MScBT
|
With Dissertation
|
6 Cores + 1 Elective* + 1 Dissertation
|
With Project
|
6 Cores + 2 Electives* + 1 Project
|
Without Dissertation/ Project
|
6 Cores + 4 Electives*
|
Credits requirements
|
30 |
*Any 6 out of 8 core subjects should be chosen and students are allowed to take additional Core subjects to fulfil the Elective requirement.
List of Subjects
Below is the table summarising the core and elective subjects. All subjects are three-credit based, unless otherwise stated. Subjects such as Dissertation and Project have different assessment requirements and require supervision arrangement. More details can be obtained from the departmental intranet, i.e. http://intranet.comp.polyu.edu.hk.
Core Subjects (18 credits required)
|
| 1. |
Distributed Ledger Technology, Cryptocurrency and E-Payment
|
| 2 |
Distributed Algorithms and Protocols for Blockchains
|
| 3 |
Decentralized Apps Fundamentals and Development |
| 4 |
Decentralized Finance |
| 5 |
Blockchain and Smart Contract Security |
| 6 |
Applied Cryptography for Financial Applications |
| 7 |
Machine Learning and Applications in Finance |
| 8 |
Fintech Regulation and Compliance |
| Elective Subjects (12 credits required) |
9
|
Economics for Financial Analysis |
| 10 |
Quantitative Methods for Finance |
| 11 |
Financial Analysis and Valuation |
| 12 |
Derivatives Securities |
| 13 |
Data Structures and Database Systems |
| 14 |
Advanced Data Analytics |
| 15 |
Software Project Management |
| 16 |
Software Engineering and Development |
| 17 |
Internet Infrastructure and Protocols |
| 18 |
Cyber and Internet Security |
| 19 |
Natural Language Processing |
| 20 |
Big Data Computing |
| 21 |
Artificial Intelligence Concepts |
| 22 |
Computer Vision and Image Processing |
| 23 |
Machine Learning and Data Analytics |
| 24 |
Optimization and Applications |
| 25 |
Project (6 credits)
|
| 26 |
Dissertation (9 credits) |
All subjects are offered at the discretion of subject offering departments, depending on students’ demand and resources available.
Please also visit http://www.polyu.edu.hk/study for other details of the programme and admission.
