Flexible Learning That Enhances Your Potential
Bachelor of Business Analytics
The Bachelor of Business Analytics (Honours) programme aims to equip students with the knowledge, digital skills, and analytical capabilities required to thrive in today’s data focused business environment. The programme is targeted at individuals who wish to upskill, reskill, or begin a new pathway in business analytics through a flexible fully online learning mode.
Through its industry relevant curriculum, the programmeemphasisesthe application of data in business decision making. Students will develop practical skills using tools such as Excel, Power BI, SQL, Python, and R, while building a strong foundation in business, management, and analytics.
The programme also integrates case studies and hands on projects to help students apply analytical thinking to real business situations. With its flexible structure, learners are able to progress at a pace that suits their personal and professional commitments, while gaining the confidence to support strategic and data driven decisions across various business environments.
Programme Advantages:
- Fully online learning structure designed for flexibility and accessibility
- Suitable for individuals looking to upskill, reskill, or start fresh in business analytics
- Covers practical tools such as Excel, Power BI, SQL, Python, and R
- Combines business and management knowledge with data analytics skills
- Includes case studies and hands on projects for practical learning exposure
- Industry-relevantcurriculum that prepares graduates for data driven roles in business
Programme Fee
This programme is designed, delivered, assessed and awarded by SEGi University through the Africa Open Learning Platform.
(i) STPM: Minimum Grade C (CGPA 2.00) in any 2 subjects
(ii) STAM: Grade Jayyid
(iii) Foundation / Matriculation: Minimum CGPA 2.00
(iv) Diploma / Advanced Diploma (Level 4 or 5 MQF): Minimum CGPA 2.00
(v) DKM / DVM / DLKM: Subject to Senate approval
(vi) 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
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.