Blockchain & Financial Technologies
How You’ll Learn
Coursework can take a variety of forms, including laboratory work, data analysis and oral presentations.
The research dissertation is assessed on a final written report, a poster presentation and a practical component.
You will receive detailed feedback on all assessment outlining strengths and areas of improvement.
We consistently review our courses to ensure we are up to date with industry changes and requirements from our graduates. As a result, our modules are subject to change.
Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of emerging technologies in Blockchain, Cryptocurrencies, Big Data, Machine Learning and Security and Intelligent Systems.
Demonstrate knowledge and understanding of contemporary tools and technologies to produce solutions relevant to the domain of Blockchain to meet a set of agreed requirements.
Subject-Based Practical skills
Analysis, interpretation, synthesis and evaluation of design methods and alternative solutions for a given problem in the diverse fields of finance, health, and technology.
Identification and implementation of appropriate smart contracts.
Skills for life and work (general skills)
Structure and communicate ideas effectively, both orally and in writing.
Work professionally as an individual and as a team player to develop creative solutions to problems.
Blockchain and Cryptocurrency
Machine Learning on Big Data
Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content).
If English isn’t your first language, you may need to provide evidence of your English language ability. We accept IELTS at 6.0 overall with no individual component below 5.5 or equivalent.
4 x 12 week terms
Live classes every Tuesday and Thursday evenings for 2 hours
3 Saturday mornings every term
Online & interactive course content, discussion forum & webinars.