WHY SHOULD YOU SELECT KIU TO PURSUE A BACHELOR OF SCIENCE HONOURS IN DATA SCIENCE:

Data Science is recognized as an emerging field of science and composed of Big Data and data driven technologies. The field of Data Science causes a transformational effect on research and industry domains. Data Science specialization aims at teaching students about data science principles and how to apply them to real world problems. The curriculum also pays significant attention to data analytics, statistical methods, mathematics, and Computer Science fundamentals.

Students who follow this degree programme will learn how to interact with data at all stages of an investigation and will be able to work within a team environment. Key competencies that students will gain are; Computational and statistical thinking, Mathematical foundations, Model building and assessment, algorithms and software foundation, data curation, and knowledge transference – communication and responsibility.

Data Science graduates have a variety of career opportunities, both nationally and internationally and upon completion of the degree, they will be qualified to work in Data Science roles that range from general to specialized. Possible career opportunities are Data Scientist, Data Analyst, Data Science Consultant, Big Data Engineer, and Machine learning engineer. The depth and breadth of knowledge in this area of study are increasingly attractive to employers and would lead to careers not only as Data Scientist professionals but also in wider areas of the IT industry.

In addition, KIU undergraduates has the opportunity to take part in industrial placements in leading companies which provide valuable industry and research experience. This will ensure that the KIU Data Science graduates will have the opportunity to be employed as Data Scientist, Data Analyst, Data Science Consultant, Big Data Engineer, and Machine learning engineer. The depth and breadth of knowledge in this area of study are increasingly attractive to employers and would lead to careers not only as Data Scientist professionals but also in wider areas of the IT industry.