Bachelor Of Science (Honours) Actuarial Science With Data Analytics

This programme blends traditional actuarial science with modern data science techniques to address evolving financial risk challenges. Students will learn the classic actuarial approach to risk management while exploring emerging areas such as artificial intelligence and machine learning and their practical applications in finance and insurance.

With a focus on handling increasing volumes and types of data, the programme prepares students to navigate the changing landscape of finance. Graduates will be equipped with the analytical and technical skills needed to solve complex risk management problems using advanced data-driven methods.

Academic Requirements

• UCSI Foundation year: Minimum CGPA 2.0 including Mathematics
• STPM: A pass in STPM with a minimum Grade (C) (CGPA 2.0) in any two subjects, and credit in Mathematics and pass in English at SPM level.
• A-Level: Minimum 2 principals (D) including Mathematics
• ​UEC: Minimum 5 credits (B6) including Mathematics
• ​National Matriculation: Minimum CGPA of 2.0 including Mathematics
• ​International Baccalaureate (IB): Minimum score of 26 points in 6 subjects including Mathematics
• Canadian Pre-U: Minimum average of 60% in 6 subjects inclusive of Mathematics
• AUSMAT/ HSC/SACE/TEE/WACE: ATAR score 60% OR minimum 60% average in 5 subjects inclusive of Mathematics
• Other qualifications deemed equivalent to STPM/A-Level by Malaysian Qualifications Agency: Minimum overall average of 60% including Mathematics
• Diploma (Business-related): Minimum CGPA of 2.0 Including Mathematics
• Other equivalent qualifications: To be reviewed by the faculty on a case-to-case basis

English Language Requirements

For Local Students:

• MUET: Band 4
• SPM English Language: Grade B+
• SPM English Language 1119/O-Level/IGCSE: Grade C
• UEC English Language: Grade A2
• IELTS: Band 5.5
• TOEFL iBT: 46

Applicants who have an academic qualification from a higher learning institution which uses English Language as a medium of instruction can be granted an exemption from the University English requirements and MQA requirement.

For International Students:

• Cambridge English Qualifications and Tests
  • B1 Preliminary, B2 First, C1 Advanced, C2 Proficiency: 160
  • Linguaskill Online: 160
  • (Occupational English Test (OET): 200
• IELTS: Band 5.5
• Cambridge English Qualifications and Tests: 160
• TOEFL IBT: 46
• TOEFL Essentials (Online): 8
• Pearson Test of English: 51
• MUET: Band 4

Year 1

• Calculus and Analytical Geometry
• Statistics and its Applications
• Business Accounting
• Microeconomics
• Fundamentals of Data Science
• Bahasa Kebangsaan A (optional)
• Probability Theory
• Database Management Systems
• Discrete Mathematics
• Macroeconomics
• Cooperative Placement 1

Year 2

• Mathematics I
• Mathematics of Interest Rates
• Mathematical Statistics
• Introduction to Stochastic Processes
• Data visualization
• Mathematics II
• Applied Statistical Models
• Life Contingencies 1
• Elementary Programming
• Research Methods in Data Analytics
• Cooperative Placement 2

Year 3

• Independent Project I
• Life Contingencies 2
• Elective 1
• Financial Management 1
• Machine Learning for Data Analytics
• Independent Project II
• Time Series Models and Survival Analysis
• Financial Statement Analysis
• Cloud Computing
• Big Data Analytics
• Cooperative Placement 3

Electives

Elective 1 (choose one)

• Actuarial Practices
• Loss Models
• Credibility Theory

General Courses (MPU) are compulsory for all students.

For Malaysian students:

1. Appreciation of Ethics and Civilisations
   (Penghayatan Etika dan Peradaban)
2. Philosophy and Contemporary Issues
   (Falsafah dan Isu Semasa)

For Foreign students:

1. Philosophy and Contemporary Issues
2. Communication in Bahasa Melayu 3
   (Bahasa Melayu Komunikasi 3)

All students:

1. U2 - University Life
2. U2 - Integriti dan Anti Rasuah (Integrity and Anti-Corruption)
3. U4 - Extracurricular Learning Experience 1
4. U4 - Extracurricular Learning Experience 2
5. U4 - Extracurricular Learning Experience 3