Master of Business Administration - MBA Majoring in one of the following; 1. International Marketing 2. Human Resource Planning 3. International Finance 4. International Business 5. Operations Management Total credits needed = 60 including Thesis The MBA designation originated in the United States, emerging from the late 19th century as the country industrialized and companies sought out scientific approaches to management. The MBA degree has since achieved worldwide recognition. Accreditation bodies exist specifically for MBA programs to ensure consistency and quality of graduate business education, and business schools in many countries offer MBA programs tailored to full-time, part-time, executive, and distance learning students, with specialized concentrations. The MBA program can be studied in a variety of formats –two years full time for full-time students, or accelerated programs reducing the breaks between study period. Part-time for the employed executive, by Distance Education or self study but attending regular seminars. The aim of the program is to educate on the interdisciplinary principles of business management as they apply to business in an international context. Of particular emphasis is the development of understanding the diversities and common challenges that people do not ordinarily face in a domestic business setting. Students are required to complete the 6 Core modules and one Major and their dissertation based on their Major. RECOGNITION of PRIOR LEARNING (RPL) A student, who has a Prior Learning achieved via classroom tutorial, vocational education, professional experience, research, business training, or professional membership, may be granted credits in our degree programs. This will enable the student to take fewer numbers of modules and save tuition fees. For assessment on your prior learning, please send verifiable documents, which acknowledge your previous education and professional experience. Documents, which are not in English, must be accompanied with an accurate English translation. For more detailed descriptions of the topics covered in the Core Modules please click on the link contained on their titles. Master of Business Administration - Core Modules Module Code / Item Description Credits Statistics for Business and Economics Financial Accounting Financial Management Macroeconomics: Principles and Tools Management Information Systems Framework for Marketing Management Master of Business Administration - Majoring Modules International Marketing Human Resource Planning International Finance International Business Operations Management Masters Degree Program - Thesis based on choice of Major Notes:- Statistics for Business and Economics Module Topics and Outline 1. Why Study Statistics? Decision Making in an Uncertain Environment. Statistical Thinking. Journey to Making Decisions. 2. Describing Data. Classification of Variables. Tables and Graphs for Numerical Variables. Tables and Graphs for Categorical Variables. Measures of Central Tendency. Measures of Variability. Numerical Summary of Grouped Data. 3. Summarizing Descriptive Relationships. Scatter Plots. Covariance and Correlation. Obtaining Linear Relationships. 4. Probability. Random Experiment, Outcomes, Events. Probability and Its Postulates. Probability Rules. Bivariate Probabilities. Bayes' Theorem. 5. Discrete Random Variables and Probability Distributions. Random Variables. Probability Distributions for Discrete Random Variables. Expected Values and Variances for Discrete Random Variables. Binomial Distribution. Hypergeometric Distribution. Poisson Distribution. Jointly Distributed Discrete Random Variables 6. Continuous Random Variables and Probability Distributions. Continuous Random Variables. Expected Values and Variances for Continuous Random Variables. Normal Distribution. Normal Approximation for Binomial. Exponential Distribution. Jointly Distributed Continuous Random Variables. 7. Sampling and Sampling Distributions. Sampling from a Population. Sampling Distribution of the Sample Mean. Sampling Distribution of a Sample Proportion. Sampling Distribution of the Sample Variance. 8. Estimation. Point Estimators. Confidence Intervals for the Mean of a Normal Distribution: Population Variance Known. Confidence Intervals for the Mean of a Normal Distribution: Population Variance Unknown. Confidence Intervals for Population Proportion (Large Samples). Confidence Intervals for Variance of a Normal Distribution. Confidence Intervals for the Difference between Two Population Means. Confidence Intervals for the Difference between Two Population Proportions (Large Samples). Sample Size Determination. 9. Hypothesis Testing. Concepts of Hypothesis Testing. Tests for the Mean of a Normal Distribution: Population Variance Known. Tests for the Mean of a Normal Distribution: Population Variance Unknown. Tests for the Population Proportion (Large Samples). Tests for the Variance of a Normal Distribution. Tests for the Difference between Two Population Means. Tests for the Difference between Two Population Proportions (Large Samples). Testing for the Equality of the Variances between Two Normal Populations. Assessing the Power of a Test. Some Comments on Hypothesis Testing. 10. Simple Regression. Correlation Analysis. Linear Regression Model. Least Squares Coefficient Estimators. Explanatory Power of a Linear Regression Equation. Statistical Inference: Hypothesis Tests and Confidence Intervals. Prediction. Graphical Analysis. 11. Multiple Regression. The Multiple Regression Model. Estimation of Coefficients. The Explanatory Power of a Multiple Regression. Confidence Intervals and Hypothesis Tests for Individual Regression Coefficients. Tests on Sets on Regression Parameters. Prediction. Transformations for Non-Linear Regression Models. Dummy Variables for Regression Models. Multiple Regression Analysis Application Procedure. 12. Additional Topics in Regression Analysis. Model Building Methodology. Dummy Variables and Experimental Design. Lagged Dependent Variables. Specification Bias. Multicolinearity. Heteroscedasticity. Autocorrelations. 13. Nonparametric Statistics. Sign Test and Confidence Interval. Wilcoxon Signed Rank Test. Mann-Whitney Test. Wilcoxon Rank Sum Test. Spearman Rank Correlation 14. Goodness-of-Fit Tests and Contingency Tables. Goodness-of-Fit Tests: Specified Probabilities. Goodness-of-Fit Tests: Population Parameters Unknown. Contingency Tables. 15. Analysis of Variance. Comparison of Several Population Means. One-Way Analysis of Variance. The Kruskal-Wallis Test. Two-Way Analysis of Variance: One Observation Per Cell, Randomized Blocks. Two-Way Analysis of Variance: More Than One Observation Per Cell. 16. Introduction to Quality. The Importance of Quality. Control Charts for Means and Standard Deviations. Process Capability. Control Charts for Proportions. Control Charts for Number Occurrences. Computer Applications. 17. Time Series Analysis and Forecasting. Index Numbers. A Nonparamentric Test for Randomness. Components of a Time Series. Moving Averages. Exponential Smoothing. Autoregressive Models. Autoregressive Integrated Moving Average Models. 18. Sample Size Determination. Basic Steps of a Sampling Study. Sampling and Nonsampling Errors. Simple Random Sampling. Stratified Sampling. Determining Sample Size. Other Sampling Methods. 19. Statistical Decision Theory. Decision Making Under Uncertainty. Solutions Not Involving Specification of Probabilities: Maximin Criterion, Minimax Regret Criterion. Expected Monetary Value; TreePlan. Sampling Information: Bayesian Analysis and Value. Allowing for Risk: Utility Analysis. Financial Accounting Module Topics and Outline • The Financial Statements. • Processing Information. • Accrual Accounting. • Internal Control and Cash. • Short-Term Investments and Receivables. • Inventory. • Plant Assets. • Current and Long-Term Liabilities. • Stockholders' Equity. • Long-Term Investments and International. • Using the Income Statement and Statement of Stockholders' Equity. • The Statement of Cash Flows. • Financial Statement Analysis. Financial Management Module Topics and Outline 1. Goals and Functions of Finance • Financial Goal - Maximize Shareholder Wealth • Objective of a Company - Create value for its shareholders, Market price of common stock (C/S), Function of finance, Investment, Financing, Dividend/share repurchase. • Value Creation - Niche in an attractive industry, Imperfections in the financial markets, • Maximization of EPS - Does not consider – Timing, Duration, Risk or uncertainty, Dividends, Usually is not the same as maximizing market price per share • Agency Problems - Management/stockholders, Creditors/equity holders • Dealing With Agency Problems – Incentives (Stock options, Bonuses, Perquisites, Monitoring, Bonding, Reviewing, Auditing, Limiting management decisions 2. Principle of Maximization of Shareholder Wealth • Rational guide for running a business • Efficient allocation of resources in society • Objective in making financial decisions 3. Allocation of Savings in an Economy • Occurs on the basis of expected risk and return • Market value of common stock reflects the market’s trade-off between risk and return 4. Social Responsibility • Protecting consumers • Paying fair wages • Maintaining fair hiring practices • Maintaining safe working conditions • Supporting education • Involved in environmental issues • Impact on stakeholders 5. Functions of Finance • Investment decisions • Financing decisions • Dividend/share repurchase decision 6. New Investment Decision • Most important of three functions • Allocation/reallocation of capital • Determines - The total amount of assets, Composition of assets, Business-risk complexion of the firm • Appropriate acceptance criterion (or required rate of return) 7. Existing Investment Decision • Efficient management of current assets • Proper level of liquidity • Allocating capital to fixed assets 8. External Investment Opportunities • Mergers and acquisitions • Domestic and international • Globalization of finance 9. Financing Decision • Determining the best financing mix - Optimal capital structure, Maximize market price per share • Variation in capital structure can impact firm value • Interface with capital markets - Ever-changing environment, Manage financial risk with hedging devices • Corporate restructuring - New financing sources, Existing financing sources 10. Dividend/Share Repurchase Decision • Amount of cash to distribute to stockholders • Dividend policy - % of earnings paid, Stability of dividends, Stock dividend, Splits • Share repurchase • Determines the amount of earnings retained • Financial signals to the market 11. Making Optimal Decisions • Interrelated decisions • Effect on the value of the firm • Financial analysis Macroeconomics - Principles and Tools Module Topics and Outline 1. THE BASIC CONCEPTS IN MACROECONOMICS. • Measuring a Nation's Production and Income. • Unemployment and Inflation. 2. THE ECONOMY IN THE LONG RUN. • Classical Economics: The Economy at Full Employment. • Why Do Economies Grow? 3. ECONOMIC FLUCTUATIONS. • Aggregate Demand and Aggregate Supply. • Keynesian Economics and Fiscal Policy. • Investment and Financial Intermediation. 4. MONEY, BANKING, AND MONETARY POLICY. • Money, the Banking System, and the Federal Reserve. • Monetary Policy in the Short Run. 5. INFLATION, UNEMPLOYMENT, AND ECONOMIC POLICY. • From the Short Run to the Long Run. • The Dynamics of Inflation and Unemployment. • Current Issues in Macroeconomic Policy. Management Information Systems 1. ORGANIZATIONS, MANAGEMENT AND THE NETWORKED ENTERPRISE. • Managing the Digital Firm. • Information Systems in the Enterprise. • Information Systems, Organizations, Management, and Strategy. • The Digital Firm: Electronic Commerce and Electronic Business. • Ethical and Social Issues in the Digital Firm. Part I Project. Analyzing Business Processes for an Enterprise System. 2. INFORMATION TECHNOLOGY INFRASTRUCTURE. • Managing Hardware and Software Assets. • Managing Data Resources. • Telecommunications and Networks. • The Internet and the New Information Technology Infrastructure. Part II Project. Creating a New Internet Business. 3. MANAGEMENT AND ORGANIZATIONAL SUPPORT SYSTEMS FOR THE DIGITAL FIRM. • Managing Knowledge for the Digital Firm. • Enhancing Management Decision Making for the Digital Firm. Part III Project. Designing an Enterprise Information Portal. 4. BUILDING INFORMATION SYSTEMS IN THE DIGITAL FIRM. • Redesigning the Organization with Information Systems. • Understanding the Business Value of Systems and Managing Change. Part IV Project. Redesigning Business Processes for Healthlite Yogurt Company. 5. MANAGING INFORMATION SYSTEMS IN THE DIGITAL FIRM. • Information Systems Security and Control. • Managing International Information Systems. Part V Project: Analyzing the Total Cost of Ownership (TCO) of a Web Site. Framework for Marketing Management Module Topics and Outline 1. UNDERSTANDING MARKETING MANAGEMENT. • Defining Marketing for the Twenty-First Century. • Adapting Marketing to the New Economy. • Building Customer Satisfaction, Value, and Retention. 2. ANALYSING MARKETING OPPORTUNITIES. • Winning Markets Through Strategic Planning, Implementation, and Control. • Understanding Markets, Market Demand, and the Marketing Environment. • Analyzing Consumer Markets and Buyer Behavior. • Analyzing Business Markets and Buyer Behavior. • Dealing with the Competition. • Identifying Market Segments and Selecting Target Markets 3. MAKING MARKETING DECISIONS. • Developing, Positioning, and Differentiating Products Through the Life Cycle. • Setting Product and Brand Strategy. • Designing and Managing Services. • Designing Pricing Strategies and Programs. 4. MANAGING AND DELIVERING MARKETING PROGRAMS. • Designing and Managing Value Networks and Marketing Channels. • Managing Retailing, Wholesaling, and Market Logistics. • Designing and Managing Integrated Marketing Communications. • Managing the Sales Force.