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Data Science and Big Data Technology with Contemporary Entrepreneurialism BEng (Hons): Taicang 2+1+1 programme

Course overview

The Data Science and Big Data Technology with Contemporary Entrepreneurship programme offers you the opportunity to embark on a transformative academic and skills-based experience at the University of Liverpool.

Home to world-class experts who conduct ground-breaking research, the 2021 Research Excellence Frame Network rated the Department of Computer Science 5th in the UK for world leading (4*) research outputs, with 100% of our research environment rated as world leading (4*) or internationally excellent (3*).

We are extremely proud that our students are taught by world leading experts, who are conducting innovative research in Algorithms and Networks, Artificial Intelligence (AI), Economics and Computation and Logical Methods in Computer Science. Being taught by academics who incorporate the latest cutting-edge research into your learning, means graduates from this unique programme will be highly valued and able to meet the needs of a wide range of employers.

Why study Data Science and Big Data Technology with Contemporary Entrepreneurialism at XJTLU Entrepreneur College (Taicang?)

  • Gain valuable entrepreneur and leadership skills through studying on the unique contemporary entrepreneur modules that are part of the degree, giving you a competitive edge in whatever career path you choose.
  • Graduate with world class qualifications, including two degrees: an XJTLU degree from the Chinese Ministry of Education and a globally recognised degree from the University of Liverpool, a member of the Russell Group of leading UK universities.

Fees and funding

Tuition fees cover the cost of your teaching and assessment, operating facilities such as libraries, IT equipment, and access to academic and personal support.

Tuition fees

All students progressing to Liverpool from XJTLU via the Taicang 2+1+1 programme will benefit from a 10% tuition fee award.

The net fees (inclusive of the discounts) can be seen below.

Taicang 2+1+1 fees
2025 tuition fee (full) £26,100
2025 tuition fee for Taicang 2+1+1 students (inclusive of 10% discount) £23,490
Fees stated are for the 2025-26 academic year.

Course content and modules

Your year in Liverpool

During your time in Liverpool, you will study and further develop your knowledge and understanding of Artificial Intelligence, distributed systems, linear statistical models, data mining, data structures and algorithms.

On the Taicang 2+1+1 programme, you'll study your third year at the University of Liverpool on a bespoke programme of modules tailored to match the third year of the Taicang programmes. You'll then return back to China for your final year of study at XEC

Compulsory

Database Development (COMP207)

Credits: 15 / Semester: semester 1

This module introduces students to the problems arising from databases, including concurrency in databases, information security considerations and how they are solved; the integration of heterogeneous sources of information and the use of semi-structured data; non-relational databases and the economic factors involved in their selection and to techniques for analysing large amounts of data, the security issues and commercial factors involved with them.

Advanced Artificial Intelligence (COMP219)

Credits: 15 / Semester: semester 1

This module will provide students with an introduction to the machine learning. It will contain traditional machine learning algorithms, deep learning algorithms, and probabilistic graphical models. Both theoretical knowledge and practical skills will be offered.

Statistics and Probability I (MATH253)

Credits: 15 / Semester: semester 1

Analysis of data has become an essential part of current research in many fields including medicine, pharmacology, and biology. It is also an important part of many jobs in e.g. finance, consultancy and the public sector. This module provides an introduction to statistical methods with a strong emphasis on applying and interpreting standard statistical techniques. Since modern statistical analysis of real data sets is performed using computer power, a statistical software package is introduced and employed throughout.

Corporate Entrepreneurship (ULMS240)

Credits: 15 / Semester: semester 1

This module addresses one of the most important topics in the field of entrepreneurship and innovation enabling students to respond to the challenges and opportunities posed by complex and uncertain business environments. The module is designed to equip students with the skills and attributes that individuals need to demonstrate in a corporate context. The objective of the module is to focus on management and leadership practices in a corporate context. It will approach the evaluation of corporate entrepreneurship (or intrapreneurship) by drawing attention to relevant theories/models and tools that can be applied in a broad range of business contexts including the private, public and third sector organisations. It provides an opportunity for students to develop and create new business solutions that can enhance the competitiveness and sustainability of organisations.

Your year in Liverpool

In conjunction with colleagues in our gold standard, triple accredited Management School, you will advance your skills, practice and application of entrepreneurship.

On the Taicang 2+1+1 programme, you'll study your third year at the University of Liverpool on a bespoke programme of modules tailored to match the third year of the Taicang programmes. You'll then return back to China for your final year of study at XEC

Compulsory

Business Modelling and Innovation (ULMS241)

Credits: 15 / Semester: semester 2

In today’s business environment, new and disruptive business models are emerging reflecting an in depth understanding of market needs, how new and emerging technologies could meet those needs, and of the resources and capabilities required to make the business a success. This module is designed to equip students with the skills and knowledge of how to better understand customers’ ‘real problem’ and build a product or a service as a solution to the problem identified. The module will take students through the start- up journey from developing a concept to engaging with the market and building a business model (using the Business Model Canvas as an entrepreneurial tool) as a platform to launch a new venture. The module will draw on relevant theories/models related to entrepreneurship and opportunity recognition, entrepreneurial leaderships, business modelling and innovation that can be applied in a range of business contexts including the private, public and third sector.

Distributed Systems (COMP212)

Credits: 15 / Semester: semester 2

This module covers the concepts of distributed systems and the underlying principles of distributed computing and discusses the issues and various solutions proposed in the distributed computing community. Specifically, communication and broadcast, election algorithms, synchronization and concurrency, fault-tolerance and security related issues will be discussed in the lectures. Where applicable practical implementations of the concepts will be introduced.

Data Structures and Algorithms (COMP108)

Credits: 15 / Semester: semester 2

This module introduces students to some basic algorithms and data structures. It gives some fundamental concepts of design and analysis of algorithms, and implementation of algorithms by choosing appropriate data structures.

Data Mining and Visualisation (COMP337)

Credits: 15 / Semester: semester 2

​To provide an in-depth, systematic and critical understanding of some of the current research issues at the forefront of the academic research domain of data mining.   Google search framework and IBM Watson QA system and various other industrial level data mining applications are discussed.

Your experience

The Intelligent Supply Chain discipline is offered by our gold standard, triple accredited University of Liverpool Management School (ULMS). Students studying with ULMS can expect inspiring teaching, influenced by globally recognised research and innovation. ULMS is ranked 9th in the UK for Research Power, and 22nd in the Shanghai rankings (Business Administration).

As a student studying with ULMS, you will benefit from outstanding links with a wide range of businesses. A large number of programmes at ULMS are professionally accredited, meaning students can be sure that they are studying in an environment that is both research-connected and highly relevant to industry, providing in-demand skills for life, beyond graduation.

Virtual tour

Supporting your learning

From arrival to alumni, we’re with you all the way: