The explosion of Big Data has reached every part of the modern life and there are remarkable opportunities for data analysts and scientists. The community of Information technology around the world use data science to decipher data that inform the decisions that lead our economic growth. The demand for Data Scientist who can interpret that data will remain high.
Princess Sumaya University for Technology (PSUT) used to offer a highly ranked and innovation programs that fill the gap between Academia and the market needs. In its two years master program in Data Science, PSUT prepares the students for the dynamic, expanding world of Big Data and Data Science driven analysis and computation. Graduate students will acquire the skills necessary to help enterprise level companies harness data and discover insights for a competitive advantages. Students graduated from this program are expected to do predictive analytics, create truly data-driven businesses, recommenders, structured and unstructured data analysis etc.
The curriculum of this master program has four main pillars built based on the role of the stakeholders in this field as following. 1) Data business people are those that are most focused on the organization and how data projects yield profit. At the entry level you’ll be performing the junior duties of blending and cleaning data and preparing basic predictive models. 2) Data developer focused on the technical problem of managing data how to get it, store it, and learn from it. At the entry level you’ll be working with Hadoop as well as structured data. 3) Data architects often tackle the entire process of analytics on their own: from extracting and blending data, to performing advanced analyses and building models, to creating visualizations and interpretations. This is a more senior role innovating new types of predictive analytic use cases, data products, and services. 4) Data Researchers, who are innovating data science at its most and publish their results. For all these stakeholders the program should provide foundational statistical theory, foundational programming skills, data modeling, Machine Learning, Big Data concepts and Toolbox, and business modeling