Foundation and Advanced Analytical Professional (Modeling ...
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Foundation and Advanced Analytical Professional (Modeling) Programme Entry Level for graduates without Foundation Level (Quantitative Analysis) Awarded the Professional Certificate statistics and research exposure (5½ day duration) in Quantitative Analysis Entry Level for graduates with Advanced Level (Analytical Professional) Awarded the Professional Certificate statistics and research exposure (5½ day duration) for Analytical Professional (Modeling) The entry points to the programmes along with the certification process Decision making is an important activity of executives, and spans across functions from marketing to customer service to human resource. Good decisions bring about positive marketplace outcomes but poor decisions may lead to irreversible damage. To improve the quality of decisions made, senior management rely on the support of a group of professionals who understand their information needs and who are able to transform data into insights to aid their decision making. Often, managers themselves need to be proficient analysts. To become an analytical professional, an executive needs to be trained to use various kinds of advanced analytical methods to address different management insight needs. The following SMU programmes aim to produce this breed of professionals who are competent in addressing organisational needs for better insights: • Foundation Programme: Professional Certificate in Quantitative Analysis (5.5 days) • Advanced (Modeling) Programme: Certified Analytical Professional (5.5 days) PROGRAMMES OBJECTIVES To develop a competent pool of analytical professionals who: a) Are able to assess the information needs of management in various functional areas b) Have a good foundation in the concept of multivariate data analysis c) Are able to identify appropriate multivariate analytical methods for obtaining the information needs d) Undertake data analysis and modeling using a wide range of analytical technique (including the use of advanced multivariate techniques) using appropriate analytical software e) Unlock data into usable information for decision making TARGET AUDIENCE The programmes are designed for graduates, particularly those who are involved in analysing, interpreting or using data for their companies. Managers and executives in various functional groups e.g. marketing, customer service and human resources who seek to push the use of data beyond typical boundaries are strongly encouraged to attend the programmes. Both programmes are intensive and assessment based. Participants are expected to put in a significant amount of time and effort in the programmes. ENTRY REQUIREMENTS Graduates enter the programme at two levels, depending on their existing level of competency. For Foundation Programme: Professional Certificate in Quantitative Analysis Prospective participants who have not taken statistics and research modules during their undergraduate studies will have to attend this foundational programme before proceeding into the advanced programme. For Advanced (Modeling) Programme: Certified Analytical Professional Prospective participants who have taken statistics and research modules (e.g. marketing research) in their undergraduate programme may be exempted from the foundation programme and may proceed directly into the advanced programme for certified analytical professionals. Participants of the advanced programme are assumed to have a good grasp of the contents covered in the foundation programme. Programme instructors will not address foundation content in the advanced programme. Both the foundation and advanced programme are five and a half day programmes. There is an individual assessment (theory and practice) at the end of each programme.
Transcript of Foundation and Advanced Analytical Professional (Modeling ...
Foundation and Advanced Analytical Professional (Modeling) Programme
Entry Level for graduates without Foundation Level (Quantitative Analysis) Awarded the Professional Certifi cate statistics and research exposure (5½ day duration) in Quantitative Analysis
Entry Level for graduates with Advanced Level (Analytical Professional) Awarded the Professional Certifi cate statistics and research exposure (5½ day duration) for Analytical Professional (Modeling)
The entry points to the programmes along with the certification process
Decision making is an important activity of executives, and spans across functions from marketing to customer service to human resource. Good decisions bring about positive marketplace outcomes but poor decisions may lead to irreversible damage. To improve the quality of decisions made, senior management rely on the support of a group of professionals who understand their information needs and who are able to transform data into insights to aid their decision making. Often, managers themselves need to be proficient analysts.
To become an analytical professional, an executive needs to be trained to use various kinds of advanced analytical methods to address different management insight needs. The following SMU programmes aim to produce this breed of professionals who are competent in addressing organisational needs for better insights:
• Foundation Programme: Professional Certificate in Quantitative Analysis (5.5 days)
• Advanced (Modeling) Programme: Certified Analytical Professional (5.5 days)
PROGRAMMES OBJECTIVESTo develop a competent pool of analytical professionals who:
a) Are able to assess the information needs of management in various functional areas
b) Have a good foundation in the concept of multivariate data analysis
c) Are able to identify appropriate multivariate analytical methods for obtaining the information needs
d) Undertake data analysis and modeling using a wide range of analytical technique (including the use of advanced multivariate techniques) using appropriate analytical software
e) Unlock data into usable information for decision making
TARGET AUDIENCEThe programmes are designed for graduates, particularly those who are involved in analysing, interpreting or using data for their companies. Managers and executives in various functional groups e.g. marketing, customer service and human resources who seek to push the use of data beyond typical boundaries are strongly encouraged to attend the programmes.
Both programmes are intensive and assessment based. Participants are expected to put in a significant amount of time and effort in the programmes.
ENTRY REQUIREMENTSGraduates enter the programme at two levels, depending on their existing level of competency.
For Foundation Programme: Professional Certifi cate in Quantitative Analysis
Prospective participants who have not taken statistics and research modules during their undergraduate studies will have to attend this foundational programme before proceeding into the advanced programme.
For Advanced (Modeling) Programme: Certifi ed Analytical Professional
Prospective participants who have taken statistics and research modules (e.g. marketing research) in their undergraduate programme may be exempted from the foundation programme and may proceed directly into the advanced programme for certified analytical professionals. Participants of the advanced programme are assumed to have a good grasp of the contents covered in the foundation programme. Programme instructors will not address foundation content in the advanced programme.
Both the foundation and advanced programme are five and a half day programmes. There is an individual assessment (theory and practice) at the end of each programme.
Advanced (Modeling) Programme: Certified Analytical Professional
Advanced Level Programme (leading to Professional Certifi cate for Analytical Professional (Modeling))
DAY 1 Introduction to Programme Bias Issues - Systematic and random bias - Sampling and Non-Sampling errors - Bias in measuring instrument - Bias and analytical methods
Sampling Issues - Sampling methods and decisions
DAY 1 Multivariate Modeling In Management - Structured approach to multivariate model building - Missing data and outliers - Assumptions of multivariate analysis
Multivariate Analysis 1: - Factor Analysis
DAY 2 Descriptive Statistics And Univariate Analysis - Central tendency measures and decisions - Dispersion measures and decisions
Estimation Of Population Parameters - Confidence interval concepts and margin of errors - Inference with confidence intervals
DAY 2 Multivariate Analysis 2: - Multiple Regression Analysis And Models Multivariate Analysis 3: - Multiple Discriminant Analysis And Models
DAY 3 Hypothesis Testing Concepts And Applications
Bivariate Data Analysis And Issues - Correlations: Concept and use - Bivariate regressional methods: Concept and use - Bivariate predictive modeling
DAY 3 Multivariate Analysis 4: - Conjoint Analysis And Models
Analysis 5: - Best-Worst Scaling And Models
Multivariate Analysis 6: - Cluster Analysis
DAY 4 Various Kinds Of Bivariate Statistical Tests
Quality Of Measures - Development and adaption of measures - Other approaches
Assessing Quality Of Measures - Validity and reliability issues of measures
DAY 4 Multivariate Analysis 7: - Correspondence Analysis
Analysis For Presentation 8: - Perceptual Mapping
Multivariate Analysis 9: - Structural Equation Modeling
DAY 5 Descriptive Statistics With Grouped Data - Central tendency measures - Dispersion measures
Presenting Information Graphically - Methods and choice
Practice Assessment: - Practical Paper
DAY 5 Multivariate Analysis 9 (Con’t): - Structural Equation Modeling
Practice Assessment: - Practical Paper
DAY 6 (½ DAY) Assessment: - Theory Paper - Practical Paper (Competency Based Assessments With SPSS)
DAY 6 (½ DAY) Assessment: - Theory Paper (may include some concepts from foundation programme)
- Practical Paper (Competency Based Assessments With SPSS And WarpPLS)
Hands on practice with SPSS Hands on practice Hands on practice with SPSS and with WarpPLS WarpPLS
Hands on practice with SPSS
PROGRAMME STRUCTURE
CONTACT US
Singapore Management UniversityCentre for Professional StudiesSchool of Economics/Social Sciences Building90 Stamford Road #04-27 Singapore 178903
Ms Serene Chua / Ms Kuo Pey JuanPhone: (65) 6808 5361 / (65) 6828 0360Fax: (65) 6828 0203 Email: [email protected]
For further information, please visit our website: http://smu.edu.sg/centres/cps/introduction/
Foundation Programme: Professional Certificate in Quantitative Analysis
Foundation Level Programme (leading to Professional Certifi cate In Quantitative Analysis)
