色狼社区

Course Overview

This programme transforms data into actionable business insights using analytics tools and predictive models. Students will develop expertise in descriptive, predictive, and prescriptive analytics, supported by real-world training, collaborative research opportunities, and a SAS-HELP joint certification. Graduates are equipped to solve business problems and drive data-informed decision-making across various sectors.

Achievement

SAS-HELP University joint certificate and digital badge in Business Analytics

Curriculum

• Programme Duration: 3-year honours programme, 33 subjects including a graduation project
• Year 1 – 10 Compulsory Subjects:
  • ACC155 Elements of Accounting & Finance 1
  • BDA100 Introduction to Programming
  • BIT103 Introduction to Database System
  • ECO101 Principles of Microeconomics
  • ITC101 Information Technology of Business
  • LAW101 Business Law
  • MGT101 Principles of Management
  • MKT101 Principles of Marketing
  • QBM101 Business Statistics
  • QBM153 Mathematics I
• Year 2 & 3 – 15 Compulsory Subjects:
  • BBA202 Business Analytics and Information Systems
  • BBA204 Descriptive Business Analytics*
  • BBA205 Predictive Business Analytics*
  • FIN201 Business Finance
  • HRM201 Managing Human Resources
  • MGT203 Business Research
  • MGT212 Business Analytics for Decision Making
  • QBM201 Advanced Business Statistics
  • BBA301 Human Resource Analytics
  • BBA302 Prescriptive Business Analytics*
  • BBA303 Marketing Analytics
  • BBA304 Data Insights and Visualisations
  • BIP301 Business Practicum
  • MGT301 Operations Management
  • BBA400 Final Year Project
• Electives: Choose 3 electives of 4-credit value from Year 2 or 3 subjects (e.g. COM200, ITC201, MKT209)
• MPU Subjects – 4 Compulsory:
  • MPU3183 or MPU3193
  • MPU3143 (International students)
  • MPU3213 (if no credit in SPM BM)
  • MPU3373 A*Gen Careers
  • MPU3412 or MPU3432 (Co-curriculum)
• Assessment: Continuous assessment (40%), Final assessment (60%)

Entry Requirements

• Matriculation/Foundation or its equivalent: Minimum CGPA of 2.00 out of 4.00**
• Diploma (Level 4, MQF): Minimum CGPA 2.00 out of 4.00
• STPM: Minimum Grade C (GP 2.0) in any TWO subjects
• Advanced Diploma (Level 5, MQF): Minimum CGPA of 2.00 out of 4.00
• Sijil Tinggi Agama Malaysia (STAM): Minimum grade of Jayyid (good)
• DKM/DVM: Subject to Senate/Academic Board approval
• DLKM: Subject to Senate/Academic Board approval
• A-Level: 2 passes
• Senior Middle 3 (UEC): 5 B’s***
• CPU: 5 passes with a minimum average of 50%
• Australian Matriculation Programmes: University Aggregate of 50% or ATAR score of at least 50
• Equivalent qualifications

** Must be supported with a pass in Mathematics, English, Sejarah and Bahasa Melayu at SPM level

*** Refer to the Faculty of Business, Economics and Accounting for Mathematics and English requirement

English Requirement (International Students): IELTS 5.5 or equivalent

Career Prospects

Graduates can pursue roles such as:

• Business Analyst
• Data Analyst
• Data Scientist
• Project Manager
• Operations Researcher
• Analytics Manager
• Marketing Analyst
• Financial Analyst
• Business Intelligence Analyst
• Consultant
• Supply Chain Analyst
• Chief Data Officer
• Machine Learning Engineer
• SQL Programmer
• Blockchain Analyst