NATIONAL UNIVERSITY OF THE UNION OF MYANMAR - Global Campus (NUUM)

Data Analytics & Project Management

About The Program

To earn a certificate in Data Analytics and Project Management, a student will need to take and complete a minimum of four courses or 12 credit hours.

The course prepares the students to develop the fundamental understanding of a project, the universal key components of the project, and how to plan and execute the project successfully. The course provides the students with the basic insights, knowledge and skills necessary for Project Managers in the 21st century dynamic workforce and organizations.

Data Analysis studies the data cleaning, applied econometric and its applications to the data practices in some softwares. This course begins with the concerns of data mining, the interaction among economic challenges and data building in econometric modeling. The modern softwares such as STATA or R are used to apply data analysis with econometric models with the real practices and researches.

GIS (Geographic Information Systems) will provide you with basic concepts and fundamental knowledge of GIS, Conceptual Model of Spatial Data, and Characteristics of GIS map as well as understanding of GIS-software including mainly Q-GIS as well as ArcGIS & Google Earth Pro.

This course provides a comprehensive overview of the various functions, practices and procedures of managing human resources from a managerial perspective. This includes job analysis and design, recruitment and selection, compensation and benefit, retention and motivation, performance management, training and development, employee relations and other aspects of HRM.

In this course, the students will have the opportunity to learn directly from the professional data scientists who will translate theories into practicum terms in the learning components of algorithms, coding libraries, etc. Through a variety of simulated projects, the instructors guide the students through each stage of entering the world of data science. The students will learn new skills and deepen their understanding of the importance of data science in solving the complex problems in any sector.