Ranking
68th
QS World Rankings 2027
Applications open
Apply now for the MSc Statistical Data Science programme at the Jinan-Birmingham Joint Institute
Course overview
If you enjoy complex data analysis, our Statistical Data Science MSc is for you. Learn the blend of statistical theory and data science techniques at the Jinan-Birmingham Joint Institute in Guangzhou, and you’ll be in high demand from employers.
Our course prepares you to integrate and apply your knowledge of statistics and data science. You'll be able to analyse, interpret, and provide well-reasoned solutions to complex challenges, making you invaluable in the data science field.
You'll be well equipped for roles in finance, healthcare, technology or government where data-driven insights are key to decision making.
Why Study MSc Statistical Data Science at Jinan-Birmingham Joint Institute
Course structure
Join us on this 2 year full-time programme comprising of taught modules during Year 1 followed your project in Year 2 alongside some additional taught modules.
Course highlights
Birmingham is ranked 68th in the QS World University Rankings 2027, maintaining our position in the top 100 universities globally and placing us in the top 10 amongst UK universities.
Delivered wholly in China at our Joint Institute by experts from Jinan University and the University of Birmingham, giving you the best of both cultures and universities.
Master diverse programming techniques and machine learning methodologies tailored for real-world applications. We blend core knowledge with practical skills, preparing you to communicate complex statistical concepts and work independently. The carefully chosen modules will introduce advanced topics, ensuring you're well-equipped for today's competitive job market.
- A curriculum richly augmented with contemporary computational techniques.
- Delivered by experts in data science and statistical learning.
- Develop the ability to critically analyse complex problems, applying fundamental principles to uncover insights and inform decision-making across diverse contexts.
- Master programming languages and essential software packages for data analysis, particularly those integral to machine learning.
- Model real-world problems within a statistical framework and employ appropriate statistical and data science techniques.
Course delivery
The Jinan University - University of Birmingham Joint Institute in Guangzhou is one of the leading Sino-UK joint institutes. You will join a thriving student community at JNU’s Panyu Campus. You will be taught entirely in English by experts in statistics and data science from both universities, with colleagues from the University flying out from Birmingham to teach you in person.
In your fourth semester you will work on a research project that will allow you to put what you have learnt into practice, producing a report that will showcase your skills as a statistical data scientist.
- Learn about cutting-edge developments in your chosen areas of interest, with lectures delivered by experts in their fields.
- Receive tailored guidance and feedback, enabling you to tackle specific challenges and enhance comprehension of the material.
- Participate in projects that bridge theoretical knowledge with practical applications, enhancing your understanding and retention of concepts.
- Enhance your critical thinking and problem-solving abilities through practical assignments that will challenge you to tackle real-life issues independently.
Assessment
The programme will be assessed using a variety of methods including: unseen examinations, programming tasks, problem solving exercises, oral presentations, and independent projects.
Feedback will be provided on work submission for both formative and summative assessments, feedback may be shared, individual, written or oral.
We expect you to continue your learning outside of timetabled sessions, For each 10 module credit at Birmingham, we would anticipate you will need to undertake around 65 to 75 hours of self-study.
This programme is delivered by both University of Birmingham and Jinan University at the Joint Institute in Guangzhou, China.
Lecture
Practical assignments
Projects
Seminar
Module information
This is a 2 year full-time programme comprising of taught modules during Year 1 followed your project in Year 2 alongside some additional taught modules.The project is completed under the direction of a project supervisor which will give you the opportunity to work one-to-one with a leading expert in their field.
The modules listed below are an indication only and may be subject to change. Occasionally, it may be necessary to make changes to modules, for example, to ensure they remain current and relevant.
As a research-intensive University, our teaching is informed by the latest academic thinking and expertise of our staff. For more information on the circumstances in which the University may need to make changes to modules, please refer to the Terms and Conditions for applicants.
Year 1 2026/27
Core modules
| Module Title | Credits |
|---|---|
| Deep Learning and Neural Networks | 20 |
| Health Data Analytics | 10 |
| JBJI Bayesian Inference and Computation | 20 |
| Mathematical and Research Skills | 20 |
| Statistical Inference | 20 |
| Statistical Machine Learning | 10 |
Year 2 2027/28
Core modules
| Module Title | Credits |
|---|---|
| Optimization for Data Science | 20 |
| Statistical Data Science Project | 60 |
Entry requirements
As well as meeting the China requirements, to gain a place on this programme you will need to meet our general entry requirements plus those specific to this course. This programme is open to applicants from mainland China, Hong Kong, Macau and Taiwan.
- 2:1 Honours Degree
in Mathematics or Statistics or a programme with advanced mathematical or statistical components, for example Physics, Computer Science, Data Science, Econometrics, or Engineering.
The programme is taught entirely in English. You will need to demonstrate you have a suitable level of English proficiency, usually through the form of an IELTS or equivalent qualification.
For this course we require IELTS 6.0 with no less than 5.5 in any band, which is equivalent to:
- TOEFL: 80 overall with no less than 19 in Reading, 19 Listening, 21 Speaking and 19 in Writing
- Pearson Test of English (PTE): Academic 64 with no less than 59 in all four skills
- Cambridge English: C1 Advanced - minimum overall score of 169, with no less than 162 in any component
- LanguageCert ESOL SELT (UKVI): B2 'Communicator' with no less than 25 in each skill
Application process
To apply for a postgraduate programme, you will need to submit your application and supporting documents online via the link supplied. For more information on how to apply please visit the JNU course page using the link below.
Applications open
Visit the JNU course page for more information
Ask any questions you have
Join the QQ group to ask any questions you may have
- Application deadline
7 August 2026
Career opportunities
Our aim is to make sure that success in your studies leads you on to a fulfilling career. Whatever you plan to do after your degree, the Careers Network offer support to help you identify your options, develop your skills and gain access to opportunities that propel you towards your career goal.
At the Jinan-Birmingham Joint Institute we also have a dedicated Careers Skills and Development Officer, who works with you through group and one-to-one appointments (both online and in-person).
This role supports you to complete a CV, write personal statements, and plan professional development opportunities for your career or further study. They also work with the Director of Student Experience and Alumni to develop talks from external speakers and opportunities to visit the UK.
Student experience
At the Jinan-Birmingham Joint Institute, your university experience isn't just about studying. You will have the opportunity to discover new experiences, develop different skills, and make friends for life.
The vibrant Guangzhou campus with its beautiful grounds, friendly community and facilities will quickly make you feel at home. With exciting activities to get involved in outside your studies, as well as all the support and advice you need.