A unique course developed for the dynamic FinTech sector that can be taken either as a Higher Level Apprentice scheme or self-funded.
Be FutureWise. Get a job, a degree, and an opportunity to enter the growing Financial Technology industry. This course can be taken as part of a Higher-Level Apprenticeship (HLA) meaning you can secure a job in the finance sector, whilst studying part-time for your degree. As a Higher Level Apprentice, you will have the benefit of 'earning as you learn' and will be able to apply the skills learned in the classroom to workplace projects and vice versa leading to a rich learning experience. [This part-time programme is also available through self-funding].
This innovative programme is available part-time and includes a diverse range of modules from across the Ulster University Business School and the Faculty of Computing, Engineering and the Built Environment. This programme is designed to produce industry focused graduates with an in-depth knowledge of core finance and technology principles and a strong practical understanding of how theory informs professional practice.
In this section
The BSc Hons Financial Technology degree offers an equal focus on finance and technology through extensive use of work-based learning and practical application. It aligns to the growing needs of the FinTech sector.
The Ulster University Business School has developed the programme, working in partnership with employers, offering students the opportunity to take this degree as part of a Higher Level Apprenticeship Scheme.
Recruitment to this programme for Higher Level Apprenticeship funding, is conducted through the University jointly with employers. Otherwise, for direct entry self-funding students, recruitment is conducted solely by the University.
Real World Experience:
The programme is delivered over an academic year part-time, through lectures, seminars and independent study. Typically, classes are scheduled in the mornings, afternoons and some evenings each year therefore, some flexibility may be necessary. Classes, though, will typically take place on a Friday during the day.
I will learn
Teaching and Assessment
The content for each course is summarised on the relevant course page, along with an overview of the modules that make up the course.
Each course is approved by the University and meets the expectations of:
As part of your course induction, you will be provided with details of the organisation and management of the course, including attendance and assessment requirements - usually in the form of a timetable. For full-time courses, the precise timetable for each semester is not confirmed until near the start date and may be subject to change in the early weeks as all courses settle into their planned patterns. For part-time courses which require attendance on particular days and times, an expectation of the days of attendance will often be included in the letter of offer. A course handbook is also made available.
Courses comprise modules for which the notional effort involved is indicated by its credit rating. Each credit point represents 10 hours of student effort. Undergraduate courses typically contain 10- or 20-credit modules and postgraduate course typically 15- or 30-credit modules.
The normal study load expectation for an undergraduate full-time course of study in the standard academic year is 120 credit points. This amounts to around 36-42 hours of expected teaching and learning per week, inclusive of attendance requirements for lectures, seminars, tutorials, practical work, fieldwork or other scheduled classes, private study, and assessment. Part-time study load is the same as full-time pro-rata, with each credit point representing 10 hours of student effort.
Postgraduate Masters courses typically comprise 180 credits, taken in three semesters when studied full-time. A Postgraduate Certificate (PGCert) comprises 60 credits and can usually be completed on a part-time basis in one year. A 120-credit Postgraduate Diploma (PGDip) can usually be completed on a part-time basis in two years.
Class contact times vary by course and type of module. Typically, for a module predominantly delivered through lectures you can expect at least 3 contact hours per week (lectures/seminars/tutorials). Laboratory classes often require a greater intensity of attendance in blocks. Some modules may combine lecture and laboratory. The precise model will depend on the course you apply for and may be subject to change from year to year for quality or enhancement reasons. Prospective students will be consulted about any significant changes.
Assessment methods vary and are defined explicitly in each module. Assessment can be via one method or a combination e.g. examination and coursework . Assessment is designed to assess your achievement of the module’s stated learning outcomes. You can expect to receive timely feedback on all coursework assessment. The precise assessment will depend on the module and may be subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.
Coursework can take many forms, for example: essay, report, seminar paper, test, presentation, dissertation, design, artefacts, portfolio, journal, group work. The precise form and combination of assessment will depend on the course you apply for and the module. Details will be made available in advance through induction, the course handbook, the module specification and the assessment timetable. The details are subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.
Normally, a module will have four learning outcomes, and no more than two items of assessment. An item of assessment can comprise more than one task. The notional workload and the equivalence across types of assessment is standardised.
The class of Honours awarded in Bachelor’s degrees is usually determined by calculation of an aggregate mark based on performance across the modules at Levels 5 and 6 (which correspond to the second and third year of full-time attendance).
Level 6 modules contribute 70% of the aggregate mark and Level 5 contributes 30% to the calculation of the class of the award. Classification of integrated Masters degrees with Honours include a Level 7 component. The calculation in this case is: 50% Level 7, 30% Level 6, 20% Level 5. At least half the Level 5 modules must be studied at the University for Level 5 to be included in the calculation of the class.
All other qualifications have an overall grade determined by results in modules from the final level of study. In Masters degrees of more than 200 credit points the final 120 points usually determine the overall grading.
Figures correct for academic year 2019-2020.
The University employs over 1,000 suitably qualified and experienced academic staff - 59% have PhDs in their subject field and many have professional body recognition.
Courses are taught by staff who are Professors (25%), Readers, Senior Lecturers (20%) or Lecturers (55%).
We require most academic staff to be qualified to teach in higher education: 82% hold either Postgraduate Certificates in Higher Education Practice or higher. Most academic staff (81%) are accredited fellows of the Higher Education Academy (HEA) by Advanced HE - the university sector professional body for teaching and learning. Many academic and technical staff hold other professional body designations related to their subject or scholarly practice.
The profiles of many academic staff can be found on the University’s departmental websites and give a detailed insight into the range of staffing and expertise. The precise staffing for a course will depend on the department(s) involved and the availability and management of staff. This is subject to change annually and is confirmed in the timetable issued at the start of the course.
Occasionally, teaching may be supplemented by suitably qualified part-time staff (usually qualified researchers) and specialist guest lecturers. In these cases, all staff are inducted, mostly through our staff development programme ‘First Steps to Teaching’. In some cases, usually for provision in one of our out-centres, Recognised University Teachers are involved, supported by the University in suitable professional development for teaching.
Figures correct for academic year 2021-2022.
High quality apartment living in Belfast city centre adjacent to the university campus.
Find out more - information about accommodation
At Student Wellbeing we provide many services to help students through their time at Ulster University.
Find out more - information about student wellbeing
Here is a guide to the subjects studied on this course.
Courses are continually reviewed to take advantage of new teaching approaches and developments in research, industry and the professions. Please be aware that modules may change for your year of entry. The exact modules available and their order may vary depending on course updates, staff availability, timetabling and student demand. Please contact the course team for the most up to date module list.
In this section
Year: 1
Status: C
Computer programming is a fundamental skill expected of computing graduates. This module will introduce students to the foundational concepts of programming via Python that will be used as building blocks in future modules. Students will also develop and enhance their problem solving skills as an integral part of the module.
Year: 1
Status: C
Computer programming is a fundamental skill expected of computing graduates. This module will introduce students to the object oriented concepts of programming that will be used as building blocks in future modules. Students will also develop and enhance their problem solving skills as an integral part of the module.
Year: 1
Status: C
This module develops students' quantitative skills and provides the building blocks for subsequent quantitative analysis.
Year: 1
Status: C
This module is to address the range of concepts, approaches and techniques that are applicable to Business Analysis. It is to provide an overview of the role of the Business Analyst who acts as the link between business needs, stakeholders and I.T. within change initiatives.
Year: 2
Status: C
Database management is a fundamental skill expected of Computing and Business graduates. This module will introduce students to the fundamental concepts of database design, implementation, querying and management of relational database systems.
Year: 2
Status: C
To provide students with an overview of the financial system. It seeks to develop students' understanding of financial markets, institutions and the environment within which they operate.
Year: 2
Status: C
The primary objective of this module is to provide an introduction to econometric theory and techniques, especially linear regression analysis, hypothesis testing and application with financial time series. With extensive use computer packages such as Python or Microsoft Excel students will be able to use real data to analyse financial models.
Year: 2
Status: C
This module is to provide students the opportunity to put their foundation-level knowledge into practice. This is to help develop skills and knowledge to support successful business change programmes within an organisation.
Year: 3
Status: C
This module is designed to enable students to acquire diagnostic knowledge and understanding of human behaviour in organisations. Additionally, students are required to become proficient in the practice of key management competencies.
Year: 3
Status: C
Human-Computer Interaction is an important topic given that there is a number of novel and emerging user interfaces being developed. More than ever, there are also user demands and expectations for intuitive and usable user interfaces. This module will provide a foundation for user experience researchers and analysts.
Year: 3
Status: C
This module provides students with the necessary knowledge and skills to understand the relevance & importance of functioning financial markets, develops knowledge of the global financial services industry, financial assets and investment products and to critically evaluate competing and complementary trading and investing styles.
Year: 3
Status: C
This module considers the financial inclusion and reshaping of financial instruments through disruptive technologies. The module will take a dynamic approach to allow understanding of, for example, cryptocurrency and blockchains, RegTech, the FinTech revolution, cyber-security and data protection and regulatory issues. It will also provide: an understanding of how data science is at the core of transformation of the financial sector; and an insight into AI and machine learning.
Year: 4
Status: C
In the era of cloud computing and big data, this module will provide students with the theory and practical foundations for undertaking real world data analytics.
Year: 4
Status: C
The AI module is built on the foundations in mathematics, computing and programming. It covers logic based symbolic AI, knowledge representation and reasoning, introduction to machine learning paradigms and advanced learning methods of reinforcement and deep learning, and real-world applications in different human-AI interactions. The module will answer the following three questions: (1) how to formulate AI problems conceptually; (2) how to turn the conceptual formulations into algorithms; (3) how to develop AI-focused applications. The module will also consider societal and theoretical concerns raised while designing and deploying AI solutions regarding the ability of people to understand, interpret, control, and interact with AI-based systems.
Year: 4
Status: C
This module provides an understanding of the regulatory compliance issues critical to a role in financial services in the 21st Century.
Year: 4
Status: C
The module aims to provide students with a knowledge and understanding of theoretical and empirical limitations of traditional finance theory and presents the foundations of behavioural finance. Students will have the opportunity to explore the opportunities for behavioural investing and systematic trading model design and be able to evaluate different trading models.
Year: 4
Status: C
This module will serve as an integrating mechanism for all other modules on the degree programme, as well as developing powers of analysis and evaluation and project management skills. Through this module, students will also develop knowledge and skills in research methods, and consultancy tools and techniques in preparation for completion of their applied technology management project which will add real value to their host organisation.
We recognise a range of qualifications for admission to our courses. In addition to the specific entry conditions for this course you must also meet the University’s General Entrance Requirements.
In this section
A level grades BCC if including A level Mathematics or
A level grades BBC if not completing A level Mathematics
Overall BTEC level 3 QCF Extended Diploma with profile DDD
OR
BTEC Level 3 RQF BTEC Extended Diploma with profile DMM
You may also meet the course entry requirements with combinations of different qualifications to the same standard (provided subject requirements are met). Examples of combinations include:
A levels with BTEC Level 3 QCF Subsidiary Diploma or BTEC RQF National Extended Certificate
A level with BTEC Level 3 QCF Diploma or BTEC Level 3 RQF National Diploma.
For further information on the entry requirements for this course please contact the administrator as listed in Contact details.
112 UCAS tariff points to include a minimum of four subjects at Higher level and one subject at Ordinary level. The overall profile must include English at minimum H6 at Higher Level or Grade O4 at Ordinary level plus Maths at minimum H5 at Higher level or Grade O3 at Ordinary Level.
OR
104 UCAS tariff points to include a minimum of four subjects at Higher level and one subject at Ordinary level. The overall profile must include English at minimum H6 at Higher Level or Grade O4 at Ordinary Level. One Higher Level subject must include minimum Grade H4 from Higher Maths.
The Scottish Highers requirement for this course is grades BCCCC to include a grade B in Higher Mathematics or grades BBCCC if not completing Scottish Highers Mathematics.
The Scottish Advanced Highers requirement for this course is grades CDD to include a grade C in Advanced Mathematics or grades CCD if not completing Advanced Mathematics.
Overall International Baccalaureate profile minimum 25 points (12 points at higher level).
Overall Access profile of 63% to include 70% in all Maths modules.
GCSE Profile to include Mathematics with a minimum grade B/C* 6/5
GCSE Profile to include English Language with a minimum grade C/4
English language requirements for international applicants
The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.
Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.
In this section
Graduates from this course are now working for:
With this degree you could become:
This FutureWise programme has been developed in response to the fast growing FinTech sector in Northern Ireland, to support the need for skilled financial technology graduates. It will provide you with the skills and knowledge to secure a graduate job and an exciting career path. With developments moving so fast in this sector your industry experience will make you a highly sought-after candidate for graduate jobs.
The price of your overall programme will be determined by the number of credit points that you initiate in the relevant academic year.
For modules commenced in the academic year 2022/23, the following fees apply:
| Credit Points | NI/ROI Cost | GB Cost | International Cost |
|---|---|---|---|
| 120 | £4,629.60 | £9,249.60 | £15,360 |
| 60 | £2,314.80 | £4,624.80 | £7,680 |
| 30 | £1,157.40 | £2,312.40 | £3,840 |
| 20 | £771.60 | £1,541.60 | £2,560 |
NB: A standard full-time undergraduate degree is equivalent to 120 credit points per year.
Are there payment options available?
Funding support should be available through the Higher Level Apprenticeship programme.
Can I take this programme without the apprenticeship funding?
Yes, the BSc Hons Financial Technology is available part-time.
It is important to remember that costs associated with accommodation, travel (including car parking charges) and normal living will need to be covered in addition to tuition fees.
Where a course has additional mandatory expenses (in addition to tuition fees) we make every effort to highlight them above. We aim to provide students with the learning materials needed to support their studies. Our libraries are a valuable resource with an extensive collection of books and journals, as well as first-class facilities and IT equipment. Computer suites and free Wi-Fi are also available on each of the campuses.
There are additional fees for graduation ceremonies, examination resits and library fines.
Students choosing a period of paid work placement or study abroad as a part of their course should be aware that there may be additional travel and living costs, as well as tuition fees.
See the tuition fees on our student guide for most up to date costs.
Admissions contact regarding application process:
Jenny Semple
Course Director for advice regarding course content:
Claire McCann
