Bachelor of Information Technology (Honours) (Data Analytics)
KPT/JPS (PA 15771) 08/27
Bachelor of Information Technology (Honours) (Data Analytics) is intended to train students from a variety of academic fields who wish to learn how to use data analytics techniques in relation to their area of interest. It is designed to equip them with the skills necessary to use computational thinking and data science techniques to address real-world business issues.
The Bachelor of Information Technology (Honours) (Data Analytics) places a strong emphasis on the growth of analytical abilities in the study of Information technology. The Programme provides core of Information Technology modules complemented with a selection from a wide range of courses that includes the latest advances in IT skills, concepts, and applications such as Parallel Programming, Information Systems Analysis and Design, Web and Network Analytics, Knowledge Management and Data Visualisation.
The program Bachelor of Information Technology (Honours) (Data Analytics) will produce professionals who can be able to:
- Produce knowledgeable and be technically competent in the field of information Technology in line with industry requirement locally and globally.
- Perform well as a team player, demonstrate good leadership qualities in an organization, and be effective in communication.
- Solve problems related to the field of IT creatively, innovatively, ethically, using numerical and technical skills, and through sustainable approach to solve Data Analytics related problems.
- Demonstrate entrepreneurship skills and recognize the need of lifelong learning, as well using a broad range of information, media, and technology applications for successful career advancement.
Bachelor of Information Technology (Honours) (Data Analytics) qualifies the students for employment in a variety of big data, statistical, and predictive reporting-related fields in the information technology sector such as:
- Big data system architect
- Business intelligence manager/specialist/architecture/consultant
- Chief data scientist
- Chief knowledge analyst
- Chief social media scientist
- Credit scorecard specialist
- Customer segmentation specialists
How to Apply?
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