Khalifa University of Science and Technology and Abu Dhabi Investment Authority (ADIA) have jointly developed a master’s programme in Computational Data Science. The programme aims to meet the demands of the new digital age and enable professionals to utilise the information extracted from the data to devise effective strategies and make well-informed decisions.
Khalifa University has launched the programme, designed in collaboration with the Quantitative Research and Development team at ADIA, to enable students to develop their skills in areas such as data analytics and machine learning, while keeping pace with the latest advancements in various fields.
The programme offers optional modules in computational systems and data analytics. It is designed to equip graduates with the knowledge and skills required to join relevant data and technology-intensive industries. Twenty employees from ADIA are currently enrolled in the programme.
Dr. Arif Sultan Al Hammadi, Executive Vice President, Khalifa University, said: “The launch of our master’s programme in Computational Data Science, developed jointly with ADIA, strongly illustrates our readiness to meet the local, regional and global employability criteria in a digital era. This programme aims to address the growing labor market demand for data scientists, whose skills are essential to manage risks, provide better business solutions, perform predictive analytics, detect fraud, and create fast trading algorithms that forecast market opportunities. We believe the human capital created through this programme will also facilitate medical image analysis, genomics, drug discovery, and tracking and preventing diseases.”
The Computational Data Science programme combines algorithms and statistical techniques to analyse and understand the information hidden in big data, such as those generated by financial and healthcare services, telecom and energy. This can be optimised to assist in the expansion of various economic sectors, devise strategies and enable leaders to make data-driven decisions.
On completion, graduates of the Computational Data Science programme will be able to identify, formulate, and solve computational data science problems, while critically evaluating emerging data analysis technologies, and assess how they can be applied to different types and volume of data. They will also be able to design and program complex computer software for various computational data science applications, using state-of-the-art tools and techniques. The programme has also been launched in consultation with key local stakeholders.
