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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

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+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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Master of Business Analytics

About

The Master of Business Analytics is a comprehensive, industry-focused program that integrates business analytics, information technology, and business innovation. It equips students with both theoretical and practical knowledge in business analytics to foster holistic learning. The curriculum is designed to help students identify and understand business challenges across various domains, applying data-driven, analytical methods to analyze problems, predict future trends, and offer solutions.

This program provides the skills and knowledge required to launch a career in business analytics, with a focus on predictive analytics, industry tools, and decision-making science.

Key facts

Statistics
Qualification Master's Degree
Study mode Full-time
Duration 1 year
Intakes January, March, May, July, September
Tuition (Local students) $ 10,094
Tuition (Foreign students) $ 10,094

Subjects

  • Business

  • Business, Management

Duration

1 year

Tuition fees

Description Local students Foreign students
Tuition fee $ 10,094 $ 10,094
Miscellaneous fees $ 1,119 $ 1,629
Total estimated cost of attendance $ 11,213 $ 11,723
Estimated cost per year $ 11,213 $ 11,723

Miscellanous fees explained

Local students

Description Amount
Enrolment Fee $ 158
Deposit (refundable) $ 158-$ 226

Foreign students

Description Amount
Enrolment Fee $ 158
Deposit (refundable) $ 158-$ 226

Estimated cost as reported by the institution. There may be additional administrative fees. Please contact for the latest information.

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.

Admissions

Intakes

Entry Requirements

Entry Requirements

  • A Bachelor’s degree (Level 6, MQF) in related fields with a minimum CGPA of 2.50 as accepted by the HEP Senate; OR
  • A Bachelor’s degree (Level 6, MQF) in related fields with a minimum CGPA of 2.00 and not meeting a CGPA of 2.50 can be accepted, subject to a rigorous internal assessment; OR
  • A Bachelor’s degree (Level 6, MQF) in non-related fields with a minimum CGPA of 2.00 as accepted by the HEP Senate and with relevant working experience of at least 2 years of work experience, subject to a rigorous internal assessment; OR
  • A Bachelor’s degree (Level 6, MQF) in non-related fields with a minimum CGPA of 2.00 as accepted by the HEP Senate and without relevant working experience, subject to passing pre-requisite courses; or
  • An APEL.A Certificate (APEL T-7) (Recognition of Prior Learning) (Click on this link for further information on APEL.A)
  • Other equivalent/related qualifications to a Bachelor’s degree (Level 6, MQF) recognised by the Malaysian Government.

English Language Requirements

  • IELTS: 6.0 or equivalent

Curriculum

Core Modules

  • Management and Business Analytics
  • Data Mining
  • Python for Business Analytics
  • Business Intelligence
  • Machine Learning for Business Decisions
  • Business Statistics Using R
  • Business Research Methods
  • Advanced Business Analytics and Visualisation

Electives (Choose 2)

  • IIoT: Business & Technology
  • Time Series Analysis and Forecasting
  • Web and Social Media Analytics
  • AI and Decision Making

Capstone Project

This course includes a Business Analytics Capstone Project to enhance and demonstrate cognitive skills surrounding the application and interpretation of business analytics in a real-world business context and develop communication skills to transfer knowledge clearly, effectively and appropriately in relation to data analytics issues.