The Data Science and Analytics program is focused on the study of data, methodologies, processes, algorithms for collecting, refining, storing, and analyzing data to arrive at useful insights and knowledge.
The program prepares the students to be equipped with knowledge and skills for processing, management and analysis of data in various forms to be competent, innovative, creative and responsible problem solvers with commitment to contributing in nation building.
PROGRAM EDUCATIONAL OBJECTIVES
The Data Science and Analytics program has adopted the following educational objectives.
Three to five years after graduation, the Data Science and Analytics alumni shall:
- have advanced their practice or achievement in the field of Data Science and Analytics and/or other endeavors or advocacies supported by their acquired computer science education;
- be globally competitive through
- living by the T.I.P. mission values, pursuing continuing education, and practicing continuous quality improvement in their personal lives;
- continuously scanning, adopting, and building on the best practices in their field.
STUDENT OUTCOMES
By the time of graduation, students will be able to:
T.I.P. SO 1. analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
T.I.P. SO 2. design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
T.I.P. SO 3. communicate effectively in a variety of professional contexts.
T.I.P. SO 4. recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
T.I.P. SO 5. function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
T.I.P. SO 6. apply theory, techniques, and tools throughout the data analysis lifecycle and employ the resulting knowledge to satisfy stakeholders' needs