BSc (Hons) Statistical Data Science | Heriot-Watt University

BSc (Hons) Statistical Data Science | Heriot-Watt University

Category: Degree Available
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Specifications
  • Province/City: Kuala Lumpur
  • Language for Teaching: English
  • Field of Study : Information Management
  • Field of Study : Computer
  • Course Start Date: Jan
  • Course Start Date: Sept
  • Course : Degree
  • Country: Malaysia
  • Annual Course Fees : Above RM 40k
Description

BSc (Hons) Statistical Data Science Heriot-Watt University

Duration
3 years
Mode
Physical
Campus
Putrajaya
Medium
English
Intake
January, September

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Student Type

Domestic Student
Malaysian Citizen
International Student
Non-Malaysian Citizen

Entry Requirement

UEC
10 points (including A2 in Mathematics and Advanced Mathematics, A2 in English) from 5 subjects not less than B grade.
A-Levels/STPM
BBB (including B in Mathematics)
Pre-U
CGPA 3.5 (further assessment is required)
HWUM Pre-U
CGPA 3.5 (further assessment is required)
Other Qualification
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PTPTN Loan Selection

Not Applicable
No PTPTN loan available

E-Square Waiver

E-Square Waiver
RM 100

Fee Breakdown

Tuition Fee
RM 131760
Resources Fee
RM 0
Deposit
RM 0
Application Fee
RM 500
Scholarship
- RM 0
PTPTN Loan
- RM 0
Voucher
- RM 0
Total Payable
RM 132,260
Benefits via E-Square Application:
  • Scholarship up to RM 0
  • Voucher: RM 0

Course Structure

Year 1

Mandatory September

  • Real Analysis
  • Linear Algebra
  • Algorithmic and Scientific Programming
  • Probability and Statistics A

Optional September

  • Self-Empowerment and Social Responsibility I
  • National Language A (MPU 3212)
  • Philosophy and Current Issues

Mandatory January

  • Data Science Life Cycle
  • Multivariable Calculus
  • Actuarial and Financial Mathematics
  • Probability and Statistics B

Optional January

  • Malay Language Communication 2 (MPU 3143)
  • Appreciation of Ethics and Civilisations
  • Self-Empowerment and Social Responsibility II
Year 2

Mandatory September

  • Statistical Models A
  • Further Statistical Methods
  • Stochastic Processes

Optional September

  • Introduction to Interaction Design
  • Artificial Intelligence and Intelligent Agents
  • Self-Empowerment and Social Responsibility I
  • Philosophy and Current Issues

Mandatory January

  • Bayesian Inference & Computational Methods
  • Statistical Models B

Optional January

  • Ordinary Differential Equations
  • Survival Models
  • Database Management Systems
  • Integrity and Anti-Corruption
  • Self-Empowerment and Social Responsibility II
Year 3

Mandatory September

  • Time Series and Machine Learning
  • Statistics Dissertation A

Optional September

  • Data Assimilation
  • Financial Markets and Investments
  • Optimisation
  • Artificial Intelligence and Intelligent Agents

Mandatory January

  • Statistics Dissertation B

Optional January

  • Risk Theory
  • Statistics Special Topic
  • Advanced Machine Learning
  • Financial Derivatives
  • Big Data Management
  • Database Management Systems

Future Career Prospects

Main Directions
  • Data Scientist
  • Statistical Analyst
  • Machine Learning Engineer
  • Quantitative Analyst
  • Business Intelligence Analyst
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