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APU MSc in Data Science and Business Analytics program gives business professionals who deal with data, lead data scientist teams, or want to manage a data driven firm a solid foundation in data science.
The students will using leading the way software, tools, and applications, gain a thorough understanding of the fundamentals of data science.
Students will gain practical experience with complex internet based programs and tools, as well as an understanding of how machine learning and deep learning can solve business problems also they can use data as a strategic resource and apply data management skills to the business.
The Advantages of Program
Student’s Skills After completing this program successfully are:
- SAS Institute, USA will also offer a Joint Professional Certification in addition to the degree.
- Mini projects will be assessed as within course work for 30% of the curriculum, allowing for the development of practical skills in Data Analytics.
- Analytical Technologies, Exposure to tools such as R & SAS Modelers, Data Visualization, Customer/User Behavior Studies, Forecasting Methods, and Presenting Business Intelligence Reports are all included in the curriculum.
- Presenting Business Intelligence Reports are all included in the curriculum.
External Project International University Partners Perform Annual Reviews. - Program Petronas ICT, RedTone, SharePoint, Cyber Security Malaysia, Maxis, IBM, Microsoft, Fusionex, and Axiata are part of an Industry Reference Group.
- Explore opportunities with APU’s Centre of Analytics – APCA.
Who Would Benefit from Attending?
APU MSc in Data Science and Business Analytics aims to educate students with theoretical and practical knowledge and abilities in data science, big data analytics, and business intelligence.
It seeks to improve data science knowledge and critical interpretation skills by developing analytical and investigative knowledge and skills using data science tools and methods.
Students will be able to recognize and use specific tools, methods, features, and methods to improve data analysis, as well as understand the effect of data science on current processes and businesses.
Program Outline
The program aims to teach students:
- understanding and practical skills in business intelligence, big data analytics, and data science.
- A general understanding of how data science affects contemporary business procedures.
- learning about data science techniques and methods, as well as data gathering and utilization strategies, in order to transform data through a variety of processes into useful information.
Courses
The program includes 4 prerequisite modules (for non-Computing students), 11 classroom courses, and 2 project.
Pre-Requisite Courses
- Introduction to R-programming
- Statistics
- Database for Data Science
- Programming in Python
Core Courses
- 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 Visualization
- Capstone Project 2
Specialized Courses (Choose 1 pathway only)
Pathway 1 (Business Intelligence):
- 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 (Data Engineering):
- Cloud Infrastructure and Services
- Deep Learning
- Natural Language Processing OR Building IoT Applications OR Data Protection and Management
APU-DMU Dual Degree
Students enrolled in the Masters Degree Program will have the option to participate in the APU-DMU Dual Degree Scheme.
Students will receive two Degree Certificates and Transcripts upon graduation under this Scheme: one from Asia Pacific University (APU) in Malaysia and one from De Montfort University (DMU) in the United Kingdom.
| Duration | Intakes |
| Full time (1+ years) | Full Time: 05 Feb 2024 | 04 Jun 2024 17 Sep 2024 |
| Part time (2.5-3 years) | Part Time: 12 Jan 2024 | 22 Mar 2024 07 Jun 2024 | 16 Aug 2024 25 Oct 2024 |
Admission Requirements
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English Requirements for International Students
- IELTS : 5.0
Career Options
With a Master’s in Data Science, you can have cool jobs like being a Data Engineer who sets up data systems, or a Data Analyst who looks at data to help businesses make better decisions.
You could become a Data Scientist and use advanced math to solve problems, or even lead a team as a Data Analytics Manager. Each of these jobs helps use data to find out important things that can help companies do better.
- Data Engineer
- 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 and Reporting Manager
- Decision Analytics Manager
FAQs
1.What makes APU a good choice for studying Data Science and Business Analytics?
- APU is renowned for its cutting-edge programs, strong industry connections, and emphasis on practical, real-world skills. Its diverse international student community and state-of-the-art facilities also make it a top choice.
2.How is the campus life at APU for international students?
- APU offers a vibrant campus life with diverse cultural activities, clubs, and societies. There are also support services for international students, including orientation programs and accommodation assistance.
Program Fees
APU Master of Data Science and Business Analytics fees is different for Malaysian and International students. Table below shows the fees as total tuition fees.
| Malaysian Students | International Students |
| RM 40,800 | RM 44,800 (USD 10,180) |
