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Micro-credential certification in Quantitative and Statistical Methods QSM2463 (BAF)

Overview: 

This programme introduces the basic statistical concepts in business applications. Topics covered include basic concepts of data collection, numerical descriptive measures, correlation & regression, time series analysis, probability and hypothesis testing.

Note: Subject relates to Bachelor of Accounting & Finance

Programme Fee

Awarding Body: 

This programme is designed, delivered, assessed and awarded by SEGi University through the SEGiUniDigital Platform. 

Discipline: 
Business & Accounting
Entry Requirements: 

Entry Requirements - No 
Min. Age Requirement - 19 Years Old and Above 
Language Proficiency - Yes 
Numeracy Proficiency - No 
Prerequisites - No

Contents: 
  1. An Introduction To Quantitative And Statistical Methods
  2. Quantitative Skills Using Microsoft Excel
  3. Data Presentation
  4. Measures Of Central Tendency (Location)
  5. Measures Of Dispersion
  6. Correlation
  7. Regression
  8. Time Series And Forecasting
  9. Introduction To Probability
  10. Discrete Probability Distribution
  11. Continuous Probability Distribution
  12. One- Sample Tests Of Hypothesis
Assessments: 

Assignment 1 - 60% 
Final Examination - 40% 

Credit Transfer: 
Upon successful completion of this Micro-credential certification in Quantitative and Statistical Methods (BAF), students will be able to transfer grades and credits into the following programme(s):
  1. Bachelor of Accounting & Finance
Continuing Education: 

Upon successful completion of this Bachelor of Accounting & Finance programme and meeting the necessary entry requirements, students will be able to progress into the following programme(s):

  1. Master of Financial Planning 
  2. Master of Accountancy 
  3. Master of Business Administration (Global   Business)
  4. Master of Business Administration (General Management) 
Career Opportunities: 

Students will enhance their skills in the workplace across various fields and industries. Here's how they can be beneficial: Data-driven decision making, problem solving, performance measurement, risk assessment, quality control, market research and resource optimization.