Key Information
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Campus |  |
Level |  |
Format |
| Ascencia Malta | Masters | On Campus | |||
 |
Duration |  |
Pace |  |
Fees |
| 36 months | Full Time | € 12,000 | |||
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Application Deadline |  |
Start Date |  |
Assessment |
| April/July/Oct 24 | April/July/Oct 24 | Assignments |
About this Course
This is an Accredited Course by the Malta Further & Higher Education Authority (MFHEA), at MQF/EQF Level 7, with 90 ECTS.
Graduates of the Master of Science (MSc) in Computer Science (FinTech and Blockchain) program will develop a deep understanding of the fundamental concepts and principles of fintech, including digital currencies, smart contracts, and blockchain technology, as well as financial technologies such as robo-advisors, mobile payments, and online lending.
Upon completion of the program, students will be able to design and implement fintech and blockchain systems, using a range of programming languages, software development methodologies, and tools.
Students will become familiar with relevant fintech regulations and compliance, such as those related to digital currencies, anti-money laundering (AML), and know-your-customer (KYC) requirements, and be able to navigate them and make informed decisions in their professional practice. evaluate and improve the security of fintech and blockchain systems.
Finally. graduates will be able to evaluate the security of fintech and blockchain systems and use a variety of techniques to improve their security and privacy.
Learning Outcomes
By the end of the course, the learner will have:
- Advanced understanding of security and cryptography theories and techniques: Graduates of the program should have a deep understanding of the fundamental concepts and principles of security and cryptography, including network security, web security, cryptography algorithms, intrusion detection and prevention, and secure coding practices.
- Ability to design and implement secure systems: Graduates should be able to design and implement secure systems, using a range of programming languages, software development methodologies, and tools.
- Familiarity with security standards and regulations: Graduates should be familiar with relevant security standards and regulations, such as those related to data privacy and compliance, and be able to navigate them and make informed decisions in their professional practice.
- Ability to evaluate and improve the security of systems: Graduates should have the ability to evaluate the security of systems and to use a variety of techniques to improve their security, such as penetration testing, threat modelling, and incident response.
Target Audience
- DLT developer
- Software Engineer
- Trading Analyst
- Machine Learning Engineer
- Team leaders
Awarding Body
This qualification is awarded by Ascencia Malta. This qualification is accredited by the Malta Further and Higher Education Authority. The MFHEA deems this MSc in Computer Science Blockchain & Fintech to be at MQF/EQF Level 7 with 90 ECTS in the Malta Qualifications Framework and the European Qualifications Framework for lifelong learning.
Entry Requirements
Students who have no training in the field must have completed a bachelor’s in Computer Science, Information technology or in a STEM subject. This applies to students applying for the MSc program, the Post-graduate certificate, the Post-graduate diploma and the awards.
Students without the required background may be allowed to join the course depending on the students’ circumstances and background (2 to 5 years of industry experience may also be considered).
Please find our RPL policy as authorised by the MFHEA at the end of the document.
A good grasp of scientific English is also required in order to follow the course. Students will be asked to provide an IELTS certificate higher than grade 7 (or equivalent) or proof of an equivalent level of English before commencing the course if the student has not followed their BSc in a primarily English-speaking country.
Candidates will be asked to present their previously obtained qualifications along with their respective transcripts.
If an applicant does not meet the above entry requirements, you are encouraged to contact the Academy for an interview.
Assessment Mode
When it comes to assessment methods, we have included quite a variety that will allow learners with different learning styles and abilities to complete the programme successfully.
Students will also have to prepare individual and team reports and presentations, apart from written and multiple-choice examinations. Most modules have a heavy assignment component which vary from term papers to implementing algorithms stemming from the unit.
For pass marks, grading and resist systems please refer to the Grading System on our official website. In specific reference to the situation where a student fails a module, they will be given one chance to resit, and if they fail the resit too, they will need to redo the module.
Language of Instruction & Delivery Mode
This programme will be delivered in English in our Campus in Floriana.
The course will be delivered through a flexible combination of modern face-to-face lectures, webinars, seminars and discussion forums, tutorials, group work, case studies, guest speakers, organisational visits and independent study.
Course Funding Schemes
This course is eligible for individual funding through these schemes: GET QUALIFIED SCHEME Candidates can benefit from a 70% rebate of the course fee via tax credits. Learn more about this scheme
