BSc (Hons) Big Data Management and Applications

Key information

Degree

Types of study

Full time

Duration

Three or four years depending on entry qualifications

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 大数据管理与应用管理学学士.

Entry requirements

Entry requirements for our programmes vary depending on your school qualifications, which determine your entry into either the preliminary year (Year 1) or qualifying year (Year 2). Please visit here for more detailed information.

*Entry for Mainland Chinese students is through the National Higher Education Entrance Examination, commonly known as Gaokao.

Course overview

The BSc (Hons) Big Data Management and Applications programme equips students with a strong interdisciplinary foundation in business analytics, data management, and artificial intelligence. Integrating quantitative analysis, programming, and management insight, the programme trains students to transform data into strategic business value.

Students begin with core studies in mathematics, programming, and data management, alongside fundamental business courses in economics, finance, and organisational theory. In later stages, the curriculum deepens into advanced analytics, AI for business, and machine learning applications, complemented by a final-year dissertation and project work using real-world data.

Through access to cutting-edge facilities such as the Data Analytics Lab, Blockchain Lab, students gain hands-on experience with advanced software tools and AI-driven platforms. Industry-engaged projects, case studies, and collaboration with the Ingenuity Lab further enhance their ability to apply big data and AI solutions to real organisational challenges.

Special Features

Integration of big data analytics, machine learning, and AI applications within business contexts.
Access to specialized laboratories supporting advanced data science research and experimentation.
Engagement in industry-collaborative projects and innovation initiatives.

Course structure

The degree is offered as a three- or four-year programme depending on your entry qualification.

For domestic students, the course structure follows the Chinese higher education system and is based on a four-year programme.
For international students, with relevant qualifications, the course structure follows the UK higher education system and is based on a three-year programme.

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

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The preliminary year is designed to help you develop your English language skills so that you can make the most of your degree programme.

This special English language programme designed by the English for Academic Purposes experts at the University's Centre for English Language Education is carefully integrated with academic content modules so that you are prepared fully for years two to four of your degree programme.

*Note:

This year is not compulsory for students with appropriate qualifications for year two entry.

Compulsory

Students must take all the 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
CELEN041	Introduction to Business and Management	20	Autumn
CELENXXX	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
CELENXXX	Introduction to Statistics II	10	Spring
CELEN037	Foundation Calculus and Mathematical Techniques	20	Spring
	Credit Total	120

Qualifying year modules

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Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI1114	Business Economics	20	Full Year
BUSI1XXX	Principles and Applications of Databases	20	Full Year
BUSI1XXX	Linear Algebra and Optimisation	20	Full Year
BUSI1085	Managing Operations in the Digital Enterprise	10	Autumn
BUSI1XXX	Foundational Programming for Business	10	Spring
BUSI1073	The Digital Economy	10	Spring
	Credit Total	90

Restricted Group 1

Students should take a minimum of 10 credits and a maximum of 30 credits from this group.

Code	Title	Credits	Taught
BUSI1116	Entrepreneurship: Theory & Practice	20	Full Year
BUSI1067	Introduction to Digital Business	10	Autumn
BUSI1122	Introduction to Accounting	10	Autumn
BUSI1XXX	Systems Engineering	10	Autumn
	*Credit Total*	50

Restricted Group 2

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

Code	Title	Credits	Taught
COMP1039	Programming Paradigms	20	Spring
BUSI1070	Business Finance	10	Spring
BUSI1086	Organisational Behaviour	10	Spring
BUSI1134	Production and Operations Management	10	Spring
	Credit Total	50

Year 3 modules

+

Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI2178	Marketing Management	20	Autumn
BUSI2XXX	Probability Theory and Statistical Inference	20	Autumn
BUSI2XXX	Data Structures and Algorithms	10	Autumn
BUSI2XXX	Intermediate Programming for Business	10	Autumn
BUSI2XXX	Data Science and Predictive Analytics for Business	10	Spring
BUSI2XXX	Operations Research	20	Spring
BUSI2107	Introductory Econometrics	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
BUSI2120	Corporate Entrepreneurship	10	Autumn
BUSI2128	Analysing Organisations	10	Autumn
	Credit Total	20

Restricted Group 2

Students should take a minimum of 10 credits and a maximum of 20 credits from this group.

Code	Title	Credits	Taught
BUSI2190	Trends in Work and Organisations	10	Spring
BUSI2192	Fixed Income Investments	10	Spring
BUSI2132	The Consumer Psychology of Brands	10	Spring
BUSI2193	Business Operations Analytics	10	Spring
BUSI2194	Introduction to Modelling and Simulations	10	Spring
BUSI2156	Corporate Finance	20	Spring
BUSI2131	Marketing Analytics	10	Spring
BUSI2182	Industrial Economics II: Pricing and Decision Making	20	Spring
	Credit Total	100

Restricted Group 3

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

Code	Title	Credits	Taught
COMP2044	Human Computer Interaction	10	Spring
COMP2047	Introduction to Image Processing	10	Spring
	Credit Total	20

Year 4 modules

+

Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI3209	Capstone Project	20	Full Year
BUSI3XXX	Artificial Intelligence for Business	20	Full Year
BUSI3211	Big Data Marketing	10	Autumn
BUSI3215	Text Analytics in Business	10	Spring
BUSI3XXX	Big Data Management and Analytics: Applications and Practice	10	Spring
BUSIXXXX	Managing Information Systems for Enterprise Digitalisation	10	Spring
	Credit Total	80

Restricted Group 1

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

Code	Title	Credits	Taught
BUSI3188	Strategic Management: Perspective, Process and Practice	20	Full Year
BUSI3189	Business Ethics and Sustainability	20	Full Year
BUSI3190	Financial Markets: Theory and Computation	20	Full Year
COMP3069	Computer Graphics	20	Autumn
BUSI3196	Economics of Regulation and Public Choice	20	Spring
COMP3065	Computer Vision	20	Spring
	Credit Total	120

Restricted Group 2

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

Code	Title	Credits	Taught
BUSI3087	International Finance	10	Autumn
BUSI3101	Corporate Restructuring and Governance	10	Autumn
BUSI3118	Marketing Services	10	Autumn
BUSI3123	Derivatives	10	Autumn
BUSI3213	Entrepreneurial Management	10	Autumn
BUSI3115	Logistics and Supply Chain Management	10	Autumn
	Credit Total	60

Restricted Group 3

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

Code	Title	Credits	Taught
BUSI3120	Strategic Innovation Management	10	Spring
BUSI3199	Managing Headquarters-Subsidiary Relationships	10	Spring
BUSI3145	Digital Marketing	10	Spring
BUSI3146	Brand Management	10	Spring
BUSI3110	Applied Econometrics	10	Spring
BUSI3116	Management of Quality	10	Spring
	Credit Total	60

Careers and further study

Graduates of the BSc (Hons) Big Data Management and Applications programme are prepared to succeed in the data-driven economy, where artificial intelligence and digital transformation are reshaping industries. Their combined expertise in data analytics, AI technologies, and business management enables them to excel in roles such as:

Data analyst or business intelligence consultant
AI solutions specialist or machine learning analyst
Digital transformation and technology consultant
Marketing and consumer insights analyst
Operations and supply chain analytics professional

Beyond immediate employment, graduates are also well-prepared for postgraduate study in areas such as Artificial Intelligence, Data Science, Business Analytics, Financial Technologies, Digital Health, and Information Systems Management at leading global universities.

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.