BSc (Hons) Financial Technology

Key information

Degree

Types of study

Full time

Duration

Four years

Start date

September each year

Faculty

Nottingham University Business School China

Study model

4+0

About the study model: For the 2+2 study model courses, the student will spend the last two years at our UK campus. For the 4+0 study model courses, the student will spend the entire degree programme in Ningbo, China with 'study abroad' opportunities from year three.

About the degree: The official accreditation name by the Ministry of Education is 金融科技经济学学士.

Course overview

This course sits at the intersection of finance and technology and is designed to meet the growing demand for talent in a financial sector shaped by technological change and innovation. Students build a solid foundation in finance and business while also developing key skills in programming, data analysis, machine learning, and artificial intelligence. In doing so, they gain a clearer understanding of how technology is reshaping financial markets, financial institutions, and financial services

The course places equal emphasis on theory and practice. Alongside a strong academic foundation, students strengthen their ability to analyse and solve financial problems using technological methods. Through an interdisciplinary curriculum, practice-oriented learning, and analytical training grounded in realistic market contexts, they develop a structured understanding of financial technology and prepare for roles in financial institutions, fintech firms, data analysis, and related fields, as well as for further study.

The course also emphasises cross-cultural communication, sustainability awareness, and adaptive capability. Students graduate with solid disciplinary knowledge, strong technical capability, and the wider perspective needed to contribute to innovation in financial technology and to the development of a more efficient and sustainable financial ecosystem.

Special features

Interdisciplinary training in finance and technology, combining financial knowledge with data analysis, programming, machine learning, and artificial intelligence.
A strong focus on real financial applications, helping students understand how technology is used in financial markets, financial institutions, and financial services.

Careers and further study

The Financial Technology course will equip students with cutting-edge skills in financial technology, including AI, machine learning, blockchain, and data analytics. These competencies are highly sought after in the modern financial industry, significantly enhancing the employability of graduates. Students will be well-prepared to secure positions in various sectors, including investment firms, financial institutions, and fintech companies.

With a strong foundation in Economics, Finance, and Artificial Intelligence, graduates will be well-equipped to pursue advanced degrees in fields such as Finance, Economics, Business Analysis, Statistics, and Computer Engineering. This broad educational base expands graduates' postgraduate course options, enabling them to pursue professional study and research at top institutions.

Course structure

The degree is offered as a four-year course in AY2627. The course structure follows both the Chinese and UK higher education system and is based on a four-year course.

Note: Course structures may be subject to change. The final version will be confirmed by the commencement of each academic year in September. For the most up-to-date and detailed course structure, please refer to the online course catalogue.

Preliminary year modules

+

The preliminary year curriculum combines EAP (English for Academic Purposes) modules with content modules. While the EAP modules offered by University's Centre for English Language Education are designed to develop students' English language skills, the content modules delivered by the Business School provide essential foundational knowledge in the discipline. This dual approach prepares students for specialized studies in the course beginning in the Qualifying Year.

Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
CELEN048	Undergraduate Reading and Writing in Academic Contexts	20	Autumn
CELEN069	Oral Communication Skills A	10	Autumn
BUSIF034	Introduction to Business & Management	20	Autumn
BUSIF043	Introduction to Statistics I	10	Autumn
CELEN082	Oral Communication Skills B	10	Spring
CELEN051	Undergraduate English in Specific Academic Contexts A: Arts & Social Sciences	20	Spring
BUSIF044	Introduction to Statistics II	10	Spring
BUSIF042	Foundation Calculus and Linear Algebra	20	Spring
	*Credit Total*	*120*

Qualifying year modules

+

Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI1113	Fundamentals of Financial & Management Accounting	20	Full Year
BUSI1146	Linear Algebra and Optimisation	20	Full Year
BUSI1150	Microeconomics	10	Autumn
BUSI1149	Mathematical Analysis	10	Autumn
BUSI1145	Foundational Programming for Business	10	Spring
BUSI1070	Business Finance	10	Spring
BUSI1148	Macroeconomics	10	Spring
	*Credit Total*	90

Restricted Group 1

Students should take a minimum of 10 credits and a maximum of 10 credits from this group.

Code	Title	Credits	Taught
BUSI1085	Managing Operations in the Digital Enterprise	10	Autumn
BUSI1088	Future of Work	10	Autumn
BUSI1086	Organisational Behaviour	10	Spring
BUSI1130	Principles of Marketing	10	Spring
BUSI1091	Humanistic Philosophy in Modern Business	10	Spring
BUSI1134	Production and Operations Management	10	Spring
	*Credit Total*	60

Restricted Group 2

Students should take a minimum of 20 credits and a maximum of 20 credits from this group.

Code	Title	Credits	Taught
BUSI1112	Business Law	20	Full Year
BUSI1147	Principles and Applications of Databases	20	Full Year
	Credit Total	40

Year 3 modules

+

Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI2234	Investment and portfolio management	20	Autumn
BUSI2232	Probability Theory and Statistical Inference	20	Autumn
BUSI2231	Intermediate Microeconomics	10	Autumn
BUSI2156	Corporate Finance	20	Spring
BUSI2233	Econometrics	10	Spring
BUSI2229	Data Structures and Algorithms	10	Autumn
	Credit Total	90

Restricted Group 1

Students should take a minimum of 0 credits and a maximum of 10 credits from this group.

Code	Title	Credits	Taught
BUSI2112	Management Strategy	10	Autumn
BUSI2120	Corporate Entrepreneurship	10	Autumn
BUSI2128	Analysing Organisations	10	Autumn
BUSI2197	Macroeconomic Growth, Cycles and Policy	10	Autumn
BUSI2230	Intermediate Programming for Business	10	Autumn
BUSI2218	Advanced Calculus	10	Autumn
	Credit Total	60

Restricted Group 2

AND Students should take a minimum of 20 credits and a maximum of 30 credits from this group.

Code	Title	Credits	Taught
BUSI2140	Principles of Taxation	10	Spring
BUSI2158	Intermediate Corporate Reporting	20	Spring
BUSI2129	Managing Across Cultures	10	Spring
BUSI2190	Trends in Work and Organisations	10	Spring
BUSI2192	Fixed Income Investments	10	Spring
BUSI2228	Data Science and Predictive Analytics for Business	10	Spring
	Credit Total	70

Year 4 modules

+

Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI3222	Undergraduate Dissertation	30	Full Year
BUSI3123	Derivatives	10	Autumn
BUSI3238	AI and Fintech	10	Autumn
BUSI3239	Machine Learning for Finance	20	Autumn
BUSI3237	Political Economy and Public Finance	20	Spring
BUSI3236	Ethics and RegTech for Investment Profession	10	Spring
	Credit Total	100

Restricted Group 1

Students should take a minimum of 0 credits and a maximum of 10 credits from this group.

Code	Title	Credits	Taught
BUSI3087	International Finance	10	Autumn
BUSI3244	Stochastic Calculus and Numerical Analysis	10	Autumn
BUSI3243	Applied Econometrics	10	Autumn
BUSI3101	Corporate Restructuring and Governance	10	Autumn
	Credit Total	40

Restricted Group 2

AND Students should take a minimum of 0 credits and a maximum of 20 credits from this group.

Code	Title	Credits	Taught
BUSI3234	Big Data Management and Analytics: Applications and Practice	10	Spring
BUSI3191	Advanced Corporate Reporting and Analysis	20	Full Year
	Credit Total	30

Part II students must select at least 100 credits at level 3 or above within 120 credits.

UG Dissertation is a non-compensatable module. A student who fails a non-compensatable module will not complete that stage without successfully undertaking re-assessment in that module.

Careers and further study

The Financial Technology course will equip students with cutting-edge skills in financial technology, including AI, machine learning, blockchain, and data analytics. These competencies are highly sought after in the modern financial industry, significantly enhancing the employability of graduates. Students will be well-prepared to secure positions in various sectors, including investment firms, financial institutions, and fintech companies.

With a strong foundation in Economics, Finance, and Artificial Intelligence, graduates will be well-equipped to pursue advanced degrees in fields such as Finance, Economics, Business Analysis, Statistics, and Computer Engineering. This broad educational base expands graduates' postgraduate course options, enabling them to pursue professional study and research at top institutions.

Throughout your time with us, our Career Development Office can work with you to improve your employability skills even further; assisting with job or course applications, searching for appropriate work experience placements and hosting events to bring you closer to a wide range of prospective employers.

Have a look at our careers page for an overview of all the employability support and opportunities that we provide to current students.

Fees

Chinese Mainland students

110,000 RMB / year

China's Hong Kong, Macao & Taiwan students

110,000 RMB / year

International students

120,000 RMB / year

Scholarships, sponsorships and bursaries

To encourage academic excellence, we offer a comprehensive and expanding range of full and partial scholarships.

Historically nearly 30% of our undergraduate students were awarded scholarships for their entry. Once enrolled, current students are eligible for additional merit and/or performance-based scholarships and awards, which covers approximately 32.5% of our whole student body.

Please check here for scholarship types and policies for applicants from Hong Kong, Macao, Taiwan and overseas countries. If you are a mainland Chinese student, please visit the Chinese language prospectus.