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MSc in Data Science and Business Analytics

Offered by: Asia Pacific University of Technology & Innovation (APU)
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Exam BodyAPU Malaysia Degree
Course DurationFull time (1+ years) / Part time (2.5 -3 years)
Part Time/Full TimeFull Time / Part Time
FeesRM 36,800
Fees (International Student)RM 42,400 (USD 10,600)
CampusAPU Malaysia
FacultySchool of Postgraduate Studies
Conducted entirely in MalaysiaYes
Awarding CountryMalaysia
Level of StudyMasters Degree Level
Field of StudyComputing & IT
Course Description

This programme is specifically designed to provide:

  • Knowledge and applied skills in data science, big data analytics and business intelligence.
  • Overall understanding of the impact of data science upon modern processes and business.
  • Exposure towards data science tools and techniques, as well as methods of data collection and utilization, to turn data into useful information via various processes.

 

Graduates will be equipped with knowledge, skills and experience in three major dimensions: Strategic and Commercial application, “hands-on” ICT skills and Statistics & Analytics. The programme is not merely analytics-oriented, but develops the ability to use analytics to drive key success metrics related to yield management and revenue generation in practically any business domain. There is a tremendous requirement for Data Scientists and Big Data Specialists worldwide now and in the future, with hundreds of thousands of new job opportunities emerging globally. In Malaysia alone, by the year 2020 this need is expected to reach at least 15,000 professionals.

 

The Benefits of This Programme:

On successful completion of this programme, you will be able to:

  • In addition to the degree award, a Joint Professional Certification will be offered by SAS Institute, USA.
  • 30% of the curriculum will allow for mini projects assessed as in-course work allowing for practical skills development in Data Analytics.
  • The curriculum covers a wide range of subject matter from Analytical Technologies, Exposure to tools such as R & SAS Modelers, Data Visualization, Customer/User Behavioural Studies, Forecasting Methods and to Presenting the Business Intelligence reports.
  • External Programme Annual Reviews by International University Partners.
  • Programme Support by an Industry Advisory Panel involving data analytical experts from Petronas ICT, RedTone, SharePoint, CyberSecurity Malaysia, Maxis, IBM, Microsoft, Fusionex and Axiata.
  • Research opportunities via APU’s Centre of Analytics - APCA.

 

Who Should Attend:

This programme is designed to provide students with knowledge and applied skills in data science, big data analytics and business intelligence. It aims to develop analytical and investigative knowledge and skills using data science tools and techniques, and to enhance data science knowledge and critical interpretation skills. Students will understand the impact of data science upon modern processes and businesses, be able to identify, and implement specific tools, practices, features and techniques to enhance the analysis of data.

Curriculum

Modules & Project:

The programme comprises 4 pre-requisite modules (for non-Computing students), 10 coursework modules and a Capstone Project (2 parts).

Pre-Requisite Modules

For non-Computing students: to be completed upon 1st month of the programme

  • R-programming
  • Statistics
  • Database for Data Science
  • Programming in Python

Core Modules

  • Big Data Analytics & Technologies
  • Data Management
  • Business Intelligence Systems
  • Research Methodology for Capstone Project
  • Applied Machine Learning
  • Data Analytical Programming
  • Multivariate Methods for Data Analysis
  • Capstone Project 1
  • Advanced Business Analytics and Visualisation
  • Capstone Project 2

 

Specialization Modules (Choose 1 Pathway only) *

Pathway 1:

  • Behavioural Science, Social Media and Marketing Analytics
  • Time Series Forecasting
  • Strategies in Emerging Markets

OR Multilevel Data Analysis

OR Operations Research and Optimization

Pathway 2:

  • Cloud Infrastructure and Services
  • Deep Learning
  • Natural Language Processing

OR Building IoT Applications

OR Data Protection and Managements

 

* Specialization modules may be pre-selected for students at the beginning of the semester. If students wish to change these pre-selected elective modules, they can choose from the available modules offered in the semester OR among the intensive delivery modules - however such changes may prolong the study duration.

Entry Requirements

General Requirement

MSc in Data Science and Business Analytics

  • Bachelor’s degree with minimum CGPA of 2.75 out of 4.00, or its equivalent qualification as acceptable by the Senate.
  • Bachelor’s degree with CGPA 2.50 out of 4.00, but below CGPA 2.75; can be accepted with rigorous assessment (include test, interview or portfolio).
  • Bachelor’s degree with CGPA below 2.50 out of 4.00, or qualification which is equivalent can be accepted with minimum 5 years relevant working experience in related field.
  • English Requirements: IELTS 5.0

Notes:

  • Fundamental skills in programming, database, mathematics and statistics would be an added advantage.
  • Applicants without a Computing-related Bachelor’s degree must pass the pre-requisite modules to continue with the Master’s Degree.

English Requirements

Only Applicable to International Students

Please note that under Ministry of Education regulations, only students who have achieved the minimum requirement in the English Language proficiency assessment as indicated above will be allowed to continue their studies in the main study programme. Students who do not have the required English Language achievement may apply for a student visa on conditional basis and are allowed to enrol in an English Language Certification programme at APU upon arrival in Malaysia and, subsequently, appear for the IELTS/TOEFL/PTE/MUET assessment. Students who are unable to obtain the required level of English Competency during the maximum 12 months’ period, will not be allowed to pursue their studies in the main programme and will have to return to their home country.

Students from English speaking countries and those with qualifications taught in English (previous Bachelor’s/Master’s Degree taught in English) are exempted from English requirements. Applications for exemption must be accompanied by supporting documents.

Note: The above entry requirements may differ for specific programmes based on the latest programme standards published by Malaysian Qualifications Agency (MQA).

Intake Months

Full-time:

01 Jun 2020 / 07 Sep 2020 / 11 Jan 2021

Part-time:

08 May 2020 / 03 Jul 2020 / 04 Sep 2020 / 06 Nov 2020

Career Prospects
  • Data Engineers
  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Chief Technology Officer (CTO)
  • Data Analytics Manager
  • Business Analyst Manager
  • Data Innovation Manager
  • Machine Learning Scientist
  • Business Process Engineer
  • Data Wrangler / Munger / Miner
  • Business Intelligence Manager
  • Analytics & Reporting Manager
  • Decision Analytics Manager

All fees are in RM (Ringgit Malaysia) currency unless stated otherwise.


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