Page 79 - PG-Handbook23-24-finale

PROGRAMME GOALS AND OUTCOMES
MASTER OF DATA SCIENCE

AIM OF THE PROGRAM

To produce graduates who are knowledgeable and skilled in key concepts in the areas of data
science. To equip students with technical expertise and soft skills by integrating learning with practical
experience in the curriculum.

Objective

The Program objectives are:

1. Knowledgeable in the field of data science, and able to extract meaningful insights to help
organizations cope with challenges and issues arising from big data.
2. Establish careers as data science practitioner skilled in developing effective applications for
industry or other stakeholders.
3. Lead and contribute to data science team in public or private organization with a full sense of
responsibility and good ethics

PROGRAMME LEARNING OUTCOMES

No. Programme Learning Outcomes POs Taxonomic
Category
1. Master the important concepts and theories in the field of
data science, that can be utilized in relevant domains such PO1 K
as business and social sciences.
2. Apply the knowledge in the data science in designing and PO2 P
developing data models, systems, and applications.
3. Apply knowledge in data science for the good of society and PO3 A
country.
4. Practice the philosophy, principles, high ethical values in PO4 A
professional practices related to data science.
5. Communicate clearly and confidently, to successfully
implement group project or system development efficiently PO5 A
and effectively.
6. Solve problems in various disciplines through research, and PO6 K
knowledge of data science and scientific computing.
7 Demonstrate skills in information management and PO7 P
continuous learning.

Total hours of student learning time for the entire program is 42 credits.

(List of 7 domains of learning outcomes in accordance with the MQF program. Please refer to the
attachment. Additional learning outcomes can be given if necessary)