ºìÐÓÊÓƵ

ºìÐÓÊÓƵ University’s Bachelor of Science (Honours) in Statistical Data Modelling is a home-grown 3-year degree programme designed to equip students with the skills to analyse complex data through advanced mathematical and statistical methods and AI-computational tools. This supports data-driven decision-making and generates impactful insights. ​

​The AI-Driven Data Science specialisation track equips students with the skills to leverage AI and advanced data science techniques for analysing large, complex datasets. It enables them to design and implement machine learning algorithms, build predictive models, and handle data preprocessing and visualisation to uncover ​valuation insights across various industries using cutting-edge AI tools. ​

​The Econometrics specialisation track furnishes students with advanced statistical and mathematical methodologies for the analysis of economic data, utilising techniques such as regression analysis and time series modelling. This empowers them to interpret economic trends and tackle complex real-world challenges across diverse sectors, including finance, policy analysis, market research, healthcare, energy, government, agriculture, transportation, and telecommunication.​

​Graduates are equipped for high-demand careers as Data Scientists, AI Analysts, and Econometricians.​

Preparatory Course

Image

Distinctive ºìÐÓÊÓƵ Experience

This programme equips students with AI-driven decision-making skills through ​computational tools, while also preparing them to successfully obtain the SAS Certified ​Data Scientist qualification.​

• ​Exam 1: Data Curation for SAS Data Scientists​
• Exam 2: Predictive Modelling​
• Exam 3: Advanced Predictive Modelling​
• Exam 4: Text Analytics, Time Series, Experimentation and Optimisation​

​

To produce industry-ready graduates and enhance their employability, we offer ​

professional exam preparatory courses and workshops in R, SAS, Excel, and Python​

Image