Programme Outline

Awarded and developed by: Cardiff University, UK

This course introduces Artificial Intelligence (AI) and statistical analytics to students with no prior coding experience and limited mathematical background, equipping them with the skills to solve complex real-world problems across sectors such as health, finance, security, education, and sustainability. Delivered by the School of Computer Science and Informatics at Cardiff University, the programme draws on the University’s strong research expertise in AI, data mining, and advanced algorithms. Cardiff University is recognised by the UK’s National Cyber Security Centre as an Academic Centre of Excellence in Cyber Security Research (since 2018) and Cyber Education (since 2022), ensuring students benefit from a rigorous, research-led learning environment aligned with future industry and societal needs. 

Structure

• This programme will be delivered via a blended mode with face-to-face intensive teaching modules and online components. All modules will be delivered by faculty from The Schools of Mathematics and Computer Science & Informatics through the Data Science Academy, Cardiff University. The online learning will be supported by academics and industry professionals; and will combine a mix of guided study, independent study, online discussions, group, and individual activities.  
• View a list of lecturers’ teaching modules
• Average teacher-student ratio: 1:50

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Assessment & Attendance

• There will be varied assessments which may include: 
  • Presentations
  • Online Discussions
  • Case studies
  • Projects

• Attendance requirement:
  • Local students – 75%
  • International students – 90%

Requirements to Graduate

• To attain the Master of Science in AI + Statistical Analytics, students must complete all the requirements of the programme in strict compliance with the schedules and timelines defined for the cohort in which the student is enrolled or deferred. 
• The awarded degree and degree certificate, is the same as that awarded in the UK, i.e. Master of Science in AI + Statistical Analytics.  
• The degree title on the transcript will be Master of Science in AI + Statistical Analytics. 

Modules

The modules offered are pre-determined by the University. 

• AI Essentials (20 credits)
• Computational Data Science (20 credits)
• Foundations of Statistics and Data Science(20 credits)
• AI in Practice (20 credits) 
• Data Visualisation (20 credits)
• Foundations of Operational Research and Analytics (20 credits)
• AI + Statistical Analytics Project(60 credits)

View list of modules and descriptions

Note:

• The modules listed here may occasionally be subject to change to ensure consistency with the UK programme. In such a scenario, you will be informed of any changes. 
• Students are required to own a laptop equipped with at least Microsoft Windows 10 or Apple MacOS Catalina (10.15) and 8GB RAM (recommended).

Accepted Entry Qualifications

•  A 2:2* honours degree in any subject, or an equivalent international degree.
• An A-level or equivalent in Mathematics and/or have received quantitative skills training as part of their undergraduate programme or professional experience.
• For applicants who do not have a degree, their application may be considered on the basis of professional experience.

* 2:2 may also be called a Lower Second-Class Honours degree. 

Prior experience of coding is not necessary on this course. 

All other qualifications shall be considered on a case-by-case basis and may be subject to interview. 

English Language Requirements

• Minimum C6 pass in English as First Language at GCE 'O' Level; or
• IELTS score of 6.5 overall with minimum of 5.5 in each subskill; or
• TOEFL score of 90 overall with a minimum of 17 for writing, 17 for listening, 18 for reading, and 20 for speaking; or
• Pearson Test of English (Academic): At least 69 overall with a minimum of 59 in all communicative skills; or
• Successful completion of Part 2 of SIM Pre-Sessional English course (PSEC); or
• Equivalent

Pre-sessional English Course (If Required)

Developed and awarded by SIM, Singapore.

Applicants who have not reached the required IELTS English Language proficiency level or equivalent shall have to complete and pass a Pre-Sessional English Course before progressing to any of the BSc programmes.

This full-time course aims to improve all four Academic English Language skills in Speaking, Listening, Reading and Writing to the required proficiency level for entry to the respective BSc programmes. 

A certificate of completion will be awarded upon successful passing of Part Two of the Pre-sessional English Course.

There will not be any refund or recourse should students fail to complete the course within the course duration.

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Programme Fees

Per 20 credits: S$3,270.00
Per 60 credits: S$9,810.00
Total programme fees: S$39,240.00 

International Students:
Per 20 credits: S$3,466.20
Per 60 credits: S$10,398.60
Total programme fees: S$41,594.40

* Fees are inclusive of 9% GST and payable based on the number of module credits undertaken in a term. Fees are payable before term commencement and do not include textbooks and applicable platform fees. 

Mandatory Fees

All fees inclusive of prevailing GST.

International Student Induction Fee A one-time fee payable by new full-time international students. This fee covers pre-arrival and arrival support, including activities to enhance the international student learning experience. As applicable, payable with the programme fees’ first instalment.	S$436.00
Application Fee Payable for each application form that is submitted. Fee is non-refundable and non-transferable. The fee will be refunded fully only if the intake does not commence. Unpaid applications will not be processed.	Local applicants: S$109.00 International applicants: S$545.00* (*Not inclusive of all fees related to Student’s Pass application)