Bachelor of Business Analytics

Q: Programme structure and modules

Year 1Semester 1 Personal Development & Communications Skills Introduction to Accounting Basic Mathematics Business CommunicationSemester 2 Principles of Economics Probability and Statistics I Statistical Programming Understanding Market and ConsumerSemester 3 Managing Organization Integrity and Anti-Corruption (MPU) Bahasa Kebangsaan A (MPU) Appreciation of Ethics and Civilization / Decision-Making Skills (MPU) Entrepreneurship Introduction to FinanceYear 2Semester 1 Linear Algebra Probability and Statistics II Financial Mathematics and Derivatives International BusinessSemester 2 Further Mathematical Statistics Regression Analysis Stochastic Processes Human Resource ManagementSemester 3 Statistics and Community Foundation of Data Science Co-curriculum: Sustainable Thinking (MPU) Philosophy and Current Issues (MPU) Digital Business ManagementYear 3Semester 1 Time Series and Forecasting Method Introduction to Multivariate Analysis Statistical Learning and Data Mining Business Data ModellingSemester 2 Statistical Consultancy and Data Analysis Generalized Linear Models Design and Analysis of Experiments Business EthicsSemester 3 Python for Data Science Statistical Science Project Statistical Process Control Analysis of Data and Statistical Report Writing

Programme ID : (N-DL/0410/6/0034)(07/30)(MQA/PA18176)
Campus: SEGi University
Level of Study: Bachelor Degree

Programme Overview

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 course, 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.

Entry requirements

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)

Programme structure and modules

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

Financial Aid / Funding

PTPTN
EPF
SEGi Monthly Installment
Low Initial Payment
EduFlex
– Designed for adult learners, enjoy education loans with interest as low as 4%!

Career opportunities

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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Entry Requirements

Programme structure and modules

Financial Aid / Funding

Career opportunities

APEL.C

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Bringing Industry into the Classroom

Our business programmes bring the industry directly into the classroom. Co-designed, co-delivered, and co-assessed by industry leaders, students work on real-life projects with MNEs, SMEs, entrepreneurs, and top executives, gaining practical experience and insights that set them apart in the business world.