BSc (Hons) Statistical Data Science

The social and environmental sciences, as well as economics and health, are among the fields that use statistical data science. A combination of theoretical and applied aspects of contemporary statistics are covered in their BSc in Statistical Data Science program, which seeks to provide students with the modelling, analysis, and interpretation skills necessary for the economy, business, and research. Basic statistics, probability, and mathematics are covered in the first year of the program. The latter two years are devoted to advanced mathematics and data science courses and specialised statistical modelling areas. Numerous statistical software programs are employed.

Any of These:

• A-Level / STPM: ABB including A in Mathematics
• UEC: 8 points including A1 in Mathematics and Advanced Mathematics, A2 in English (5 subjects not less than B grade)
• ATAR (WACE/SACE):
  • WACE: 90 including 80% in Mathematics Method / Specialist
  • SACE: 90% including 17 in Mathematics Method / Specialist
• Canada Year 12 High School Diploma: CPU is not acceptable
• International Baccalaureate Diploma: 28 points with 6 in HL AA Mathematics (HL Analysis and Approaches Mathematics)
• Matriculation/Foundation: CGPA 3.5 (further assessment is required)
• Diploma: Diploma with CGPA 3.5 (further assessment is required)
• Foundation in Business / Foundation in Science (from Heriot-Watt University Malaysia): Grade C average including A in Mathematics and C in English
• SMA 3 (Indonesia): 8.0 including 8.0 in Mathematics
• Year 12 State Board High School Examination (India): 75% including 80% in Mathematics
• Senior High School Graduation Certificate (China): 80% including 80% in Mathematics

Important Notes:

• Applications from individuals with a wide range of qualifications are encouraged.
• Eligibility is best determined by submitting a complete application with academic documents.
• Entry requirements are subject to change, and individual offers may vary.

English Language Requirements:

• For Non-Native English Speakers:
  • Evidence of English language ability is required.
  • Minimum IELTS 6.5 (or equivalent) with no score lower than 6.0.
• English Language Courses:
  • Offered for those who do not meet the IELTS 6.5 requirement.

Year 1:

• Mandatory September:
  • Real Analysis
  • Linear Algebra
  • Algorithmic and Scientific Programming
  • Probability and Statistics A
• Mandatory January:
  • Data Science Life Cycle
  • Multivariable Calculus
  • Actuarial and Financial Mathematics
  • Probability and Statistics B
• Optional September:
  • Self-Empowerment and Social Responsibility I
  • National Language A (MPU 3212)
• Optional January:
  • Self-Empowerment and Social Responsibility II
  • Malay Language Communication 2 (MPU 3143)
  • Integrity and Anti-Corruption
  • Appreciation of Ethics and Civilisations

Year 2:

• Mandatory September:
  • Statistical Models A
  • Further Statistical Methods
  • Stochastic Processes
• Optional September:
  • Introduction to Interaction Design
  • Philosophy and Current Issues
  • Artificial Intelligence and Intelligent Agents
• Mandatory January:
  • Bayesian Inference & Computational Methods
  • Statistical Models B
• Optional January:
  • Ordinary Differential Equations
  • Survival Models
  • Database Management Systems

Year 3:

• Mandatory September:
  • Time Series and Machine Learning
  • Statistics Dissertation A
• Optional September:
  • Data Assimilation
  • Continuous-Time Finance
  • Optimisation
• Mandatory January:
  • Statistics Dissertation B
• Optional January:
  • Risk Theory
  • Statistics Special Topic
  • Advanced Machine Learning
  • Big Data Management