The Bachelor of Business Analytics (Honours) is a fully online, flexible programme designed for individuals seeking to upskill, reskill, or start fresh in the world of data and business. This future-focused degree equips students to turn data into strategic decisions using real-world tools such as Excel, Power BI, SQL, Python, and R.
Throughout the programme, learners explore core business and management topics, while applying their skills through case studies and hands-on projects. With a self-paced structure and a curriculum tailored to industry needs, graduates are empowered to lead and make data-driven decisions in any business environment.
STPM: Minimum Grade C (CGPA 2.00) in any 2 subjects
STAM: Grade Jayyid
Foundation / Matriculation: Minimum CGPA 2.00
Diploma / Advanced Diploma (Level 4 or 5 MQF): Minimum CGPA 2.00
DKM / DVM / DLKM: Subject to Senate approval
Other equivalent qualifications recognised by the Malaysian Government
Additional Requirement:
Pass in SPM-level Mathematics and English (or equivalent)
English Proficiency Requirement:
MUET Band 3 or CEFR Low B2 (or equivalent IELTS / TOEFL scores)
Year 1
Semester 1
Personal Development & Communications Skills
Introduction to Accounting
Basic Mathematics
Business Communication
Semester 2
Principles of Economics
Probability and Statistics I
Statistical Programming
Understanding Market and Consumer
Semester 3
Managing Organization
Integrity and Anti-Corruption (MPU)
Bahasa Kebangsaan A (MPU)
Appreciation of Ethics and Civilization / Decision-Making Skills (MPU)
Entrepreneurship
Introduction to Finance
Year 2
Semester 1
Linear Algebra
Probability and Statistics II
Financial Mathematics and Derivatives
International Business
Semester 2
Further Mathematical Statistics
Regression Analysis
Stochastic Processes
Human Resource Management
Semester 3
Statistics and Community
Foundation of Data Science
Co-curriculum: Sustainable Thinking (MPU)
Philosophy and Current Issues (MPU)
Digital Business Management
Year 3
Semester 1
Time Series and Forecasting Method
Introduction to Multivariate Analysis
Statistical Learning and Data Mining
Business Data Modelling
Semester 2
Statistical Consultancy and Data Analysis
Generalized Linear Models
Design and Analysis of Experiments
Business Ethics
Semester 3
Python for Data Science
Statistical Science Project
Statistical Process Control
Analysis of Data and Statistical Report Writing
PTPTN
EPF
SEGi Monthly Instalment
Low Initial Payment
EduFlex
Typical examples of job positions include: Business analysts, Data analysts, Market research analysts, Operations analysts, Data visualisation specialists, Business intelligence (BI) associates, E-commerce analysts. As graduates, you may also pursue relevant postgraduate qualifications such as master’s programmes in business analytics, data science, or digital business, or undertake professional certifications from industry-recognised bodies including Certified Analytics Professional (CAP), Microsoft Power BI, or Google Data Analytics.
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