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MBA816Management Sciences3 Unitsintermediate

Quantitative Methods for Management

This course, Quantitative Methods for Management, is a core course designed for Postgraduate Diploma students. It introduces basic mathematical tools such as number systems, fractions, exponents, ratios, and equations. The course also covers statistical investigation, data collection, presentation, measures of central tendency and dispersion, and correlation and regression analysis. The aim is to equip students with the skills to apply quantitative methods in management and decision-making.

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208h
Study Time
13
Weeks
16h
Per Week
intermediate
Math Level
Course Keywords
Quantitative MethodsMathematicsStatisticsManagementRegression

Course Overview

Everything you need to know about this course

Course Difficulty

Intermediate Level
Builds on foundational knowledge
65%
intermediate
📊
Math Level
Moderate Math
📖
Learning Type
Theoretical Focus

Course Topics

Key areas covered in this course

1

Number Systems

2

Fractions

3

Exponents and Roots

4

Linear Equations

5

Data Collection

6

Regression Analysis

Total Topics6 topics

Ready to Start

No specific requirements needed

This course is designed to be accessible to all students. You can start immediately without any prior knowledge or specific preparation.

Assessment Methods

How your progress will be evaluated (3 methods)

assignments

Comprehensive evaluation of course material understanding

Written Assessment

tutor-marked assignments

Comprehensive evaluation of course material understanding

Written Assessment

final examination

Comprehensive evaluation of course material understanding

Written Assessment

Career Opportunities

Explore the career paths this course opens up for you

Business Analyst

Apply your skills in this growing field

Data Analyst

Apply your skills in this growing field

Management Consultant

Apply your skills in this growing field

Financial Analyst

Apply your skills in this growing field

Project Manager

Apply your skills in this growing field

Industry Applications

Real-world sectors where you can apply your knowledge

FinanceMarketingOperations ManagementEconomicsConsulting

Study Schedule Beta

A structured 13-week journey through the course content

Week
1

Module 1: Introduction to Numbers and their Applications

4h

Unit 1: Number System

2 study hours
  • •Understand the concept of number systems and their applications.
  • •Perform number conversions between different bases.
  • •Solve problems related to even, odd, prime, square, and cubic numbers.

Unit 2: Simple Fractions

2 study hours
  • •Define fractions and identify different types of fractions.
  • •Perform addition, subtraction, and multiplication of fractions.
  • •Solve application problems involving fractions.
Week
2

Module 1: Introduction to Numbers and their Applications

4h

Unit 3: Exponents and Roots

2 study hours
  • •Apply the laws of exponents to simplify expressions.
  • •Perform multiplication and division of exponents.
  • •Solve problems involving exponents and roots.

Unit 4: Ratios

2 study hours
  • •Explain the concept of ratio and its applications.
  • •Calculate increase and decrease in ratios.
  • •Compare different ratios and solve related problems.
Week
3

Module 1: Introduction to Numbers and their Applications

4h

Unit 5: Analysis of Variation

4 study hours
  • •Explain the term variation and its types.
  • •Solve problems involving direct, inverse, and joint variation.
  • •Apply variation concepts to real-world scenarios.
Week
4

Module 2: Introduction to Equation System

4h

Unit 1: Linear Equation

4 study hours
  • •Solve linear equations involving addition and subtraction.
  • •Solve linear equations using multiplication and division methods.
  • •Apply linear equations to solve practical problems.
Week
5

Module 2: Introduction to Equation System

4h

Unit 2: Simultaneous Linear Equation

4 study hours
  • •Solve simultaneous equations by substitution.
  • •Solve simultaneous equations by addition and subtraction.
  • •Apply simultaneous equations to solve practical problems.
Week
6

Module 2: Introduction to Equation System

4h

Unit 3: Quadratic Equation

4 study hours
  • •Solve quadratic equations by factorization.
  • •Solve quadratic equations by completing the square.
  • •Solve quadratic equations using the quadratic formula.
Week
7

Module 2: Introduction to Equation System

4h

Unit 4: Analysis of Progressions

2 study hours
  • •Explain arithmetic progression and its concepts.
  • •Compute the nth term and common difference of an arithmetic progression.
  • •Compute the sum of an arithmetic progression.

Unit 4: Analysis of Progressions

2 study hours
  • •Explain geometric progression and its concepts.
  • •Apply progression concepts to solve business-related problems.
Week
8

Module 3: Statistical Investigation and Data Collection

4h

Unit 1: Statistical Investigation and Data Collection

4 study hours
  • •Explain descriptive and inferential statistics.
  • •Discuss strategies for statistical inquiries.
  • •Apply data collection methods in statistics.
Week
9

Module 3: Statistical Investigation and Data Collection

4h

Unit 2: Data Presentation in Statistics

2 study hours
  • •Present data in tables.
  • •Present data using pie charts.
  • •Present data using bar charts.

Unit 2: Data Presentation in Statistics

2 study hours
  • •Present data in frequency tables and graphs.
Week
10

Module 3: Statistical Investigation and Data Collection

4h

Unit 3: Measures of Central Tendency

4 study hours
  • •Explain the concept of the mean and its calculation.
  • •Discuss the median and its properties.
  • •Discuss the mode and its applications.
Week
11

Module 3: Statistical Investigation and Data Collection

4h

Unit 4: Measures of Dispersion

4 study hours
  • •Explain the range and its calculation.
  • •Explain variance and its properties.
  • •Discuss standard deviation and its applications.
Week
12

Module 4: Statistical Analysis

4h

Unit 1: Analysis of Correlation

4 study hours
  • •Explain the basic concept of correlation.
  • •Discuss rank correlation and its calculation.
  • •Explain correlation coefficient and its interpretation.
Week
13

Module 4: Statistical Analysis

4h

Unit 2: Analysis of Regression

4 study hours
  • •Explain the concept of regression.
  • •Estimate regression equations.
  • •Forecast using regression equations.

This study schedule is in beta and may not be accurate. Please use it as a guide and consult the course outline for the most accurate information.

Course PDF Material

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Study Tips & Exam Preparation

Expert tips to help you succeed in this course

1

Review number system conversions and practice base conversions from Unit 1.

2

Master fraction operations and solving fractional equations from Unit 2.

3

Practice applying exponent laws from Unit 3 to simplify expressions.

4

Solve linear and simultaneous equations from Module 2, focusing on word problems.

5

Understand data collection methods and sampling techniques from Module 3.

6

Practice calculating mean, median, and mode for grouped and ungrouped data from Unit 3 of Module 3.

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