Data Analytics(Non Thesis)

Program Objectives

Data Analytics is considered to be a relatively new field which integrates state-of-the-art computational and statistical techniques to extract business value from a rapidly expanding volume of data. This program is designed to help our participants develop the skill set needed for creating and maintaining the added competitive edge that innovative companies are trying to establish. Our curriculum will help the students develop skills required for data-driven decision-making with a wide variety of courses such as: Introduction to Data Analytics using Python, Data Management and Processing, Machine Learning, Practical Case Studies in Data Analytics, Applied Statistics, Optimization, Decision Modeling, Exploratory Data Analysis and Visualization, Social Network Analysis, Project Management and Business Communication, etc.

Program Specific Outcomes:

Comprehend the conceptual foundations of analytical methods and techniques within the scope of business analytics,

Acquire theoretical and practical knowledge on applied information systems by developing fundamental programming skills,

Improve decision making by turning high-volume data into useful information and integrating data analysis tools

Turn high-volume data into useful information by using quantitative models and understanding and managing data analysis techniques, communicate and visualize the results for business use

Understand the data quality, data integrity and data accuracy concepts, and occupational ethics regarding data privacy and intellectual property