Overview
The HELP Master of Applied Business Analytics (MABA) aligns Data and Analytics (D&A) and business strategy. It synthesises technological capability and rich datasets to enable business leaders to derive strategic intelligence about consumer patterns and market conditions to maximise productivity and profitability. It nurtures analytics-enabled leadership to provide a clear advantage in a data-dominated world.
AIMS
The HELP Master of Applied Business Analytics aims to produce Chief Data Officers and Chief Analytics Officers to help CEOs build the digital organisation of the future and achieve business objectives.
Specifically, it enables business professionals to:
- Interpret and integrate data from multiple sources for a better understanding of complex phenomena
- Use the right software and algorithms to handle and interpret data
- Know when to apply human judgement into the decision mix
- Be able to understand the key business problems of the enterprise you work for and the megatrends of the environment your firm operates in.
Why study Master of Applied Business Analytics at HELP’s ELM Graduate School?
ELM is the acronym for Entrepreneurship, Leadership and Management. It reflects the School’s understanding of the multifaceted role of both individuals and organisations that at any one time the trinitarian role of entrepreneurship, leadership and management interplays to create, manage and sustain a business over different phases of its life.
The ELM Framework underlies our philosophy of the ELM Graduate School executive education and the way we teach and learn business in the HELP Group. It synthesises relevant theoretical constructs and integrates them into a practical system of decision-making for ELM. It is a useful tool for facilitating thinking out the right business model and strategy execution.
The ELM approach is used in our teaching and learning in the ELM Graduate School. This is the multi-perspective lens that we use to identify, respond and adapt to education, enterprise and execution.
This unique framework shapes our postgraduate programmes and brings depth and practical value to the knowledge and experience that all our students will no doubt gain.
Programme Overview
These are the subjects and electives that you will take as part of the programme.
Course Structure
CORE
- MABA7001 Applied Statistics
- MABA7002 Business Analytics for Decision Making
- MABA7003 Analytics in Finance and Economics
- MABA7004 People and Talent Analytics
- MABA7005 Business Operations and Supply Chain
- MABA7006 Marketing Analytics and Predictive Behaviour
- MABA7007 Strategic Management Analytics
- MABA7008 Business Research Methods
- MABA7009 Project Paper (Capstone)
Assessment
Written Examination and Assignments [assignments inclusive of presentation], with such variation approved by the Academic Board.
You will need to fulfill one of these entry requirements to join the programme.
Entry Requirements
- A Bachelor’s degree (Level 6, MQF) in related fields with a minimum CGPA of 2.50 ; OR
- A Bachelor’s degree in related fields with a minimum CGPA of 2.00, subject to a rigorous internal assessment; OR
- A Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 and with relevant working experience, subject to a rigorous internal assessment; OR
- A Bachelor’s degree in non-related fields with a minimum CGPA of 2.00 and without relevant working experience, subject to passing pre-requisite study of business and quantitative methods/statistics; OR
- Other equivalent/related qualifications to a Bachelor’s degree recognised by the Malaysian Government.
International applicants are required to have English language proficiency of a minimum Band 4 in MUET OR equivalent to CEFR (Mid B2), IELTS 6.0 or other language proficiency equivalencies.
Here are the career pathways for graduates who complete the Master of Applied Business Analytics programme.Â
Possible Career Pathways
- Data Analysis
- Business Analyst
- Project Manager
- Data Scientist
- Operations Research
- Analytics Manager
- Marketing Analyst
- Financial Analyst
- Data Architect
- Finance
- Business Intelligence Analyst
- Consultant
- Blockchain Analyst
- Supply Chain Analyst
- Chief Data Officer
- Machine Learner Engineer
- SQL
- Programmer Analyst