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EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

+60142521561

EasyUni Sdn Bhd

Level 17, The Bousteador No.10, Jalan PJU 7/6, Mutiara Damansara 47800 Petaling Jaya, Selangor, Malaysia
4.4

(43) Google reviews

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Bachelor of Science (Honours) in Actuarial Studies with a Specialism in Data Analytics

Course overview

Statistics
Qualification Bachelor's Degree
Study mode Full-time
Duration 3 years
Intakes March, July, September, November
Tuition (Local students) ₹ 1,778,957
Tuition (Foreign students) ₹ 2,084,983

About

This programme is specifically designed to provide students with:

  • A course of study in Actuarial Science with a specialism in Data Analytics which has been awarded full accreditation by the IFoA (UK).
  • Competent teaching staff with professional or specialised academic qualification, possessing working experience from actuarial industries/ academia.
  • Course syllabus which is comprehensively structured in tandem and compliance with the 2 biggest actuarial bodies, the IFoA (UK) and the SOA (US).
  • Comprehensive guidance to mould graduates to be industry-ready.

Admissions

Intakes

Fees

Tuition

₹ 1,778,957
Local students
₹ 2,084,983
Foreign students

Estimated cost as reported by the Institution.

Application

₹ 2,860
Local students
₹ 13,346
Foreign students

Student Visa

₹ 45,760
Foreign students

Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the Institution and EasyUni reserve the right to make amendments to any information contained in this website without prior notice. The Institution and EasyUni accept no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Entry Requirements

  • STPM: 2 Passes in STPM with a minimum Grade C+ (GP 2.33) and a Credit in Mathematics and a Pass in English at SPM Level or its equivalent.
  • A-Level: 2 Passes in A-Level in any 2 subjects, and a Credit in Mathematics and a Pass in English at SPM/O-Level/IGCSE or its equivalent.
  • UEC: 5 Grade B’s in UEC including Mathematics with a Pass in English.
  • Matriculation/Foundation: Passed Foundation programme (minimum CGPA of 2.5) with a Credit in Mathematics and a Pass in English at SPM/O-Level/IGCSE or equivalent.

English Requirements (International Students)

  • IELTS : 6.0
  • TOEFL IBT : 60
  • Pearson (PTE) : 59
  • MUET : Band 4

Curriculum

Degree YEAR 1

  • Probability Models
  • Linear Algebra
  • Business and Communication Skills
  • Calculus
  • Calculus II
  • Financial Accounting
  • Microeconomics
  • Macroeconomics
  • Introduction to R Programming
  • Statistics

Degree YEAR 2

  • Advanced Probability Models
  • Predictive Analytics
  • Financial Mathematics
  • Regression Analysis
  • Financial Economics
  • Business Research Methods
  • Financial Management
  • Business Ethics & Governance
  • Mathematics of Financial Derivatives
  • Stochastic Processes

Specialised Modules:

  • Programming for Data Analytics
  • Operational Research and Analytics

Internship: 16 weeks

Degree YEAR 3

  • Asset and Liability Valuations
  • Life Contingencies
  • Corporate Finance
  • Risk Theory
  • Investigation in Actuarial Studies
  • Option and Bond Valuations
  • Survival Analysis
  • Life Contingencies 2
  • Project in Actuarial Studies

Specialised Modules:

  • Behavioural Science & Marketing Analytics
  • Advanced Predictive Analytics

MQA Compulsory Subjects*

  • Appreciation of Ethics and Civilisation (M’sian Students)
  • Malay Communication Language (Int’l Students)
  • Philosophy and Current Issues
  • Workplace Professional Communication Skills
  • Employee & Employment Trends
  • Co-Curriculum

(*All students are required to successfully complete these modules as stipulated by the Malaysian Qualification Agency.)
Note: The specialism will appear only in the academic transcript

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