Master's Degree in Applied Statistics - Version 1
NAME
Master's Degree in Applied Statistics
MODALITY
hybrid
PROPOSITION
$ 6500.00
TITLE TO BE OBTAINED
Master in Applied Statistics
DURATION
2 Semesters
START AND TERMINATION
09/2024 al 09/2025
RESOLUTION
RPC-SO-44-No.762-2023
PROGRAM VERSION
1
PHONE NUMBERS
4091000 - Ext. 735 - 731
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The Master's Degree in Applied Statistics aims to train professionals with skills and competencies to carry out strategic initiatives in their organizations based on the management and analysis of data, which will allow the formulation of timely and effective solutions.
The program will have national and foreign professors who are experts in the application of statistical techniques. Students of the Master's Degree in Applied Statistics will carry out their degree process through integrative work, which will compile the knowledge and efforts of the modules taken, obtaining their graduation in a timely manner.
BUSINESS HOURS
Monday to Friday from 18:00 to 22:00, Saturdays from 08:00 to 12:00. 1-2 weeks a month
PROGRAM COORDINATOR
Fernando Cordova Leon
Graduate profile
Graduates of the program will have skills for their professional development such as: developing critical reasoning for data analysis; generate self-learning skills and abilities that allow you to be updated in your field of work; apply modern data analysis techniques and provide innovative and integrative solutions to business problems; interact in multidisciplinary teams addressing research needs, design and analysis of studies that generate data; describe and interpret the available study or analysis information; master a set of basic techniques for data modeling.
| MODULE | CONTENT |
|---|---|
| STATISTICAL BASES I | * Introduction to the R language. * Obtaining and manipulating databases. * R MarkDown. * Information Treatment: Exploratory and Descriptive Data Analysis. * Graphical and numerical summaries of quantitative data. * Relationship analysis between variables. * Problem statement and hypothesis formulation: null and alternative hypotheses. * Parametric and non-parametric hypothesis tests. |
| STATISTICAL BASES II | * Linear regression. * Correlations. * Multicollinearity. * Linear Models. * Generalized Models. * Logistics Models. * Relational Analysis. * Chi squared. * Crosstabs. * Introduction to non-parametric techniques. |
| DESIGN AND ANALYSIS OF EXPERIMENTS | * Introduction to experimental designs. * Completely randomized designs. * Diagnostics and validation tests. * Factorial designs. * Locked Designs. * Mix Design. |
| CONSULTING TECHNIQUES | * Consulting methodologies. * Analysis of the initial state. * Identification of objectives and problems. * Generation of pseudo experimentation and experimentation. * Analysis of data. * Interpretation. * Generation of Solutions. |
| APPLIED DATA SCIENCE | * Data manipulation, imputation. * Visualization. * Machine Learning. * Supervised and Unsupervised. * Large databases. * Power BI. * Ethics and privacy. |
| ANALYSIS OF FUTURE BEHAVIORS | * Introduction to Time series. * Trend, Seasonality, Cyclicality. * Univariate Models. * Autoregressive Processes, moving averages, ARIMA, ARMA. * Stationary Multivariate Models. * Non-stationary Multivariate Models. * Validation Tests. |
| APPLIED STATISTICAL METHODS | * Data preparation methods through software. * Data Management. * Selection of appropriate Statistical Methodologies according to the data. * Writing and drafting of cases, reports and scientific reports. |
| MAKING DECISIONS BASED ON DATA | * Define the Problem. * Generate Options. * Evaluate Options. * Make decisions. * Implement decisions. * Decision evaluation. * Decision trees. |
| DESIGN AND APPLICATION OF MODELS | * Information Report, infographics. * Execution of application cases. * Execution of statistical techniques in real situations. * Advantages and disadvantages of the studies. * Analysis of titration data. |
Entry requirements
The Master's program is aimed at professionals with third-level degrees in Administration, Finance, Economics, Engineering, and other related areas of knowledge.
Admission process
Applicants must register on the Postgraduate Department website: www.posgrados.uazuay.edu.ec They must upload: passport-sized photo, third-level degree, identity card and updated CV.
Registration (50 USD) must be paid through the payment button with any credit card, or at the university treasury, or by deposit or bank transfer to the following accounts:
Pichincha Bank:
Current account No. 3186821004 - RUC: 0190131777001
Guayaquil Bank:
Current account No. 6447600 - RUC: 0190131777001
Produbanco:
Current account No. 02070000472 - RUC: 0190131777001
In case of deposit or bank transfer, once payment has been made, a copy of the receipt must be sent to transfers@uazuay.edu.ec and posgrados@uazuay.edu.ec indicating your personal data (ID number, full name, address and telephone number) and the program to which you are applying, for registration in the system.
SCHEDULE
REGISTRATION: Until Sunday, August 11, 2024
START OF CLASSES: September 2024
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Contacts
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