Skip to content
BRIDGE BRIDGE Diaspora BRIDGE
DTS 299

SIWES I

Computing
B.Sc. Data Science
3
Course Description
At the end of the course, the students should be able to: 1. explain how a typical Data Science firm operates; 2. expose students to the realities of the computing industry beyond the walls of the University; through an attachment with an organisation in the computing industry; and 3. apply the skills and knowledge that they have acquired in class towards solving real problems in actual working environments.
Course Outline
Students are attached to private and public organisations for a period of three months during the second-year session long break with a view to making them acquire practical experience and to the extent possible, develop skills in all areas of Data Science. Students are supervised during the training period and shall be expected to keep records designed for the purpose of monitoring their performance. They are also expected to submit a report on the experience gained and defend their reports.
0 Total Views

Made Possible Through

Federal Ministry of Education
TETFund