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The ICESCO Chair of Data Science and Analytics for Business, a collaboration between ICESCO and NUST, is dedicated to advancing data science in business and finance amidst the digital era's data surge.
ICESCO Chair of Data Science and Analytics for Business be established at the National University of Sciences & Technology (NUST). Prof Dr Muhammad Moazam Fraz is appointed as the Director of ICESCO Chair.
The Chair would focus on research and human resource development in the field of Data Science and its practical applications in business and finance. The role of Data Science and Analytics is growing in many businesses and its applications are becoming extremely critical for economic growth and national competitiveness. This is to provide a platform for Data Science related businesses and promote a culture of data driven problem solving and decision making. ICESCO Chair, with business experts, of Data Science and Analytics for Business will be jointly hosted by the NUST School of Electrical Engineering & Computer Science (SEECS) and the NUST Business School (NBS).
This goal targets multifaceted achievements. For one, local problems are eradicated through technology-based solutions. Secondly, technology commercialization will spur new employment opportunities and will also stimulate new business and revenue streams.
Academia, government, and industry would be able to profit from collaboration in this field via high quality applied research, industry support, and policy making.
Training highly skilled workforce in Data Science will not only meet local needs of the industry but will also harvest high volume remittances.
A focused approach to combine resources for the benefit of all stakeholders.
To facilitate a comprehensive approach to data science and analytics education, the ICESCO Chair of Data Science and Analytics for Business will be co-hosted by two prominent NUST entities: the School of Electrical Engineering & Computer Science (SEECS) and the NUST Business School (NBS). This collaboration underscores the interdisciplinary nature of data science, where expertise from computer science and business converge to drive innovation and value creation.
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