- Faculties and Programs
- All Programs
- Data Analytics
Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential.
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. Many consulting firms claim that Data Analytics will be one of the key skills of the 21st century. Most critical issue, however, is the shortage of analytical talent that could turn the high-volume data into useful information that will be used for better decision making.
In a business world in which the gap between winners and losers is narrowing down, companies are increasingly turning to data analytics to gain a competitive advantage in productivity, profitability and sustainable manufacturing processes for better products and better services. To be able to do that, companies need trained workforce skilled in Data Analytics, who are equipped to manage, understand and model the data, interpret the outcome and communicate the results for business use. Professionals holding a degree in Data Analytics will be well positioned to help their organizations gain a competitive advantage in a data-driven world. 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 you 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, Data mining, Machine learning, Practical case studies in Data Analytics, Statistical models for data analysis, Optimization, Decision modeling, Exploratory data analysis and visualization, Social network analysis, Data privacy, security and forensic discovery, Information security law and data ethics, Project Management and Business communication, and a Capstone project.