BSc (Hons) Big Data Management and Applications

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 大数据管理与应用管理学学士.

Course overview

Course overview

The BSc (Hons) Big Data Management and Applications is a business-based interdisciplinary degree designed for students who want to turn data into insight, decisions, and organisational value. The course combines mathematics, statistics, programming, databases, and artificial intelligence with economics, operations, and management, enabling students to understand not only how data is analysed, but also how it is applied responsibly in real business contexts.

Students build strong foundations in quantitative methods and computing before progressing to predictive analytics, econometrics, text analytics, and AI for business. Through laboratories, case-based learning, industry-engaged projects, and a final-year capstone, they learn to solve practical problems in areas such as marketing, digital transformation, operations, and consumer insight.

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.
Practical, hands-on learning supported by advanced digital facilities, specialist labs, industry-standard software, and AI-powered tools for data analysis, modelling, and actionable solutions, equipping students to address real-world organisational challenges.
Engagement in industry-collaborative projects and innovation initiatives.

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

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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 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
BUSIF034	Introduction to Business and 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

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Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI1114	Business Economics	20	Full Year
BUSI1147	Principles and Applications of Databases	20	Full Year
BUSI1146	Linear Algebra and Optimisation	20	Full Year
BUSI1085	Managing Operations in the Digital Enterprise	10	Autumn
BUSI1145	Foundational Programming for Business	10	Spring
	Credit Total	80

Restricted Group 1

Students should take a minimum of 10 credits and a maximum of 40 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
BUSI1151	Systems Engineering	10	Autumn
	*Credit Total*	50

Restricted Group 2

AND Students should take a minimum of 0 credits and a maximum of 30 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

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Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI2178	Marketing Management	20	Autumn
BUSI2232	Probability Theory and Statistical Inference	20	Autumn
BUSI2229	Data Structures and Algorithms	10	Autumn
BUSI2230	Intermediate Programming for Business	10	Autumn
BUSI2228	Data Science and Predictive Analytics for Business	10	Spring
BUSI2235	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

AND 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	Consumer Psychology	10	Spring
BUSI2194	Introduction to Modelling and Simulations	10	Spring
BUSI2156	Corporate Finance	20	Spring
BUSI2131	Marketing Analytics	10	Spring
BUSI2182	Industrial Economics II: Economics of Pricing and Decision Making	20	Spring
	Credit Total	90

Restricted Group 3

AND 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

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Compulsory

Students must take all modules in this group.

Code	Title	Credits	Taught
BUSI3222	Undergraduate Dissertation	30	Full Year
BUSI3233	Artificial Intelligence for Business	20	Full Year
BUSI3211	Big Data Marketing	10	Autumn
BUSI3245	Text Analytics in Business	10	Autumn
BUSI3234	Big Data Management and Analytics: Applications and Practice	10	Spring
BUSI3235	Managing Information Systems for Enterprise Digitalisation	10	Spring
	Credit Total	90

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 & 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

AND 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
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
BUSI3243	Applied Econometrics	10	Autumn
	Credit Total	70

Restricted Group 3

AND Students should take a minimum of 0 credits and a maximum of 10 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
BUSI3116	Management of Quality	10	Spring
	Credit Total	50

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

Graduates of the BSc (Hons) Big Data Management and Applications course 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.