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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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Data Analytics MSc

Course overview

Statistics
Qualification Master's Degree
Study mode Full-time, Part-time
Duration 1 year
Intakes September
Tuition (Local students) RM 34,053
Tuition (Foreign students) RM 81,321
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Admissions

Intakes

Fees

Tuition

RM 34,053
Local students
RM 81,321
Foreign students

Estimated cost as reported by the Institution.

Application

Data not available
Local students
Data not available
Foreign students

Student Visa

Data not available
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

Degree and/or experience:

  • Honours degree at 2:1 or above, or equivalent work experience. Applicants are expected to be familiar
  • with and have some aptitude for basic mathematics and statistics concepts and methods.
  • Claims for the accreditation of prior (experiential) learning will also be considered.

English Language Requirement:

  • IELTS 6.5 overall, with 6.0 in writing and a minimum of 5.5 in the other elements.

Curriculum

You will study five core modules. One of these involves an industry project that will provide you with hands-on experience.

As a Data Analytics student, you will also choose from a wide range of option modules. These will allow you to tailor the degree around your own interests.

Modules

  • Data Management
  • Programming for Analytics
  • Statistical Analysis
  • Business Analytics Strategy and Practice
  • Industry project

Options:

  • Multivariate Analysis
  • Data Mining
  • Stochastic Methods and Forecasting
  • Financial Mathematics and Project Valuation

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