Department of Computer Science

Earn as you Learn

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At the very onset of the BSCS program, students get exposure to the fundamentals of Computer Science together with practical courses for learning IT tools and frameworks. GU TECH’s CITI provides students with the opportunity to become freelance IT consultants and also eventually commercialize their developed products and services. 

 

Our collaboration with local IT companies and software houses provides practical experiences via internships during the initial years of the BSCS program. Students can work part-time during their studies, gaining valuable industry exposure.

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Entrepreneurship and Innovation

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The BSCS program aims at developing an entrepreneurial mindset amongst students, through coursework together with exposure to practicing entrepreneurs. The  program provides experiential and project-based learning to apply theoretical knowledge to real-world problems. Early in the program students will be involved in ideation, design and implementation of real world projects. 

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The BSCS program offers courses to develop entrepreneurship and innovation skills including modules in leadership, innovation, design thinking, management, marketing and finance. These skills are critical to facilitate keeping up with business developments. Students gain exposure to industry and IT innovations through seminars, hands-on workshops, exhibitions, showcasing events, podcasts, and industry linkage job fairs. Topics will include success stories of technology leaders, intellectual property (IP) licensing, startup strategies, and Silicon Valley cases in innovation and technology.

 

Research & Innovation 

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The Computer Science department is active in research to address problems ranging from those faced by individual businesses to those of national importance. Some of our current research areas include: 

1. Combating fake news in healthcare, climate and Geopolitics: The rise of disinformation and spread of misinformation has shaped a highly polarised digital world. AI based methods are being developed to identify and label fake content along with spread dynamic modelling. 

2. Precision Medicine:  The ability of high dimensional biological data has shaped the classical drug discovery and clinical practices in a more precise way. At GU Tech, we are working on associating crucial bio-markers to specific genes and establishing predictive modelling for better drugs towards specific genomic variations to populations and individuals. 

3. Socio-Economic Classification for Policy Making: The availability of national household data allows the development of interpretable models to comprehend high poverty areas, growth in quality of life. We believe that knowledge inferences can play a significant role in the national policy making processes.

 

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