Master of Applied Business Analytics

Course 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 organization 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.

Outcome for Better Performance

Methods: Knowledge about how to select the most appropriate analytics approach for your situation Awareness of how to tackle big data and leverage it for better business outcomes Mindset: Recognise the breadth of analytic applications Tools: Ability to use the most advanced software and algorithms, their appropriate applications across domains, and their limitations Skills: Ability to use analytics to lead teams and design and communicate the insights to support optimal decision making Apply best practices for data analytics process management, including establishing workflows, identifying inter-dependencies, and recognising when to utilise hum

Curriculum

CORE

• Applied Statistics
• Analytics in Finance and Economics
• People and Talent Analytics
• Business Operations and Supply Chain
• Marketing Analytics and Predictive Behaviour
• Strategic Management Analytics
• Business Research Methods
• Project Paper (Capstone)

ELECTIVE CURRENTLY OFFERED (CHOOSE 1)

• Business Analytics for Decision Making
• Digital Entrepreneurship

Entry Requirements

• A Bachelor’s degree from a recognised university with a minimum CGPA of 2.50, preferably with adequate industry experience; those with a CGPA of less than 2.50 but with 5 years’ relevant working experience are also admissible. Applicants without a statistics or mathematics background) are required to do the applied business statistics as a pre-requisite to enhance their appreciation and learning experience and outcome.
• Non-degree holders (Malaysian) with at least a Diploma or STPM may obtain MQA Accreditation of Prior Experiential Learning (Access) [APEL (A)] approval for programme admission.
• International applicants are required to fulfil a minimum score of 6.0 for the International English Language Testing System (IELTS) or the equivalent.

Career Prospects

• 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