Sunway University

Overview

The Statistical Data Modelling (Hons) programme at Sunway University provides a robust foundation in mathematics and statistics, applying these principles to tackle real-world data challenges through contemporary computational and AI-driven techniques. This course is designed to equip students with the skills to create statistical models, assess their predictive accuracy, and effectively communicate insights for informed decision-making across various sectors, including finance, healthcare, and analytics.

What you'll study

The curriculum encompasses a blend of core foundation and applied modelling courses, ensuring students develop mathematical proficiency before progressing to statistical modelling and data analytics.

• Calculus
• Probability
• Linear Algebra & Applications
• Elementary Statistics
• Advanced Calculus
• Operations Research
• Big Data and Knowledge Discovery
• English for Mathematical Sciences

Learning approach

The programme fosters a seamless transition from theoretical concepts to practical applications, empowering students to leverage modelling techniques to resolve data-driven issues. It also incorporates supplementary activities such as workshops and exam-preparation sessions to enhance proficiency in popular analytics tools.

Tools and applied skills (support workshops)

• Python
• R
• SAS
• Excel

Check out the full curriculum

For a comprehensive list of courses, sequencing, and any elective or capstone requirements, please visit the programme's website.

Entry requirements

Prospective students should meet specific academic criteria, including a minimum GPA requirement of 2.3. Additionally, applicants may need to demonstrate proficiency in the English language, which can be assessed through various standardized tests.

Career prospects

Graduates of the Statistical Data Modelling programme will be well-prepared for a diverse range of career opportunities. With a strong emphasis on data analysis and statistical modelling, alumni may pursue roles in finance, healthcare analytics, market research, and more, where their skills will be invaluable in driving data-informed strategies and decisions.