Science Bachelor of Science (Honours) in Data Science
Programme Summary
Programme : Bachelor of Science (Honours) in Data Science
Programme Duration : 4 years
Minimum Credits Requirement : 140
Entry Time : January/May/September
Admission Requirements
Students who passed the Higher Secondary level or equivalent with a science background may apply for admission to the undergraduate level if they fulfill the following requirements:
(a) Applicants must have achieved a minimum GPA of 3.50 in both SSC and HSC examinations (or equivalent qualifications) individually.
(b) Applicants who have a GPA below 3.50 in either SSC or HSC (or equivalent examinations) may still qualify if they meet both of the following conditions:
i. a minimum GPA of 3.00 in each of the SSC and HSC examinations individually, and
ii. a combined total GPA of at least 8.00 across both SSC and HSC examinations
c) For English-medium students, at least five subjects in O Level with a minimum GPA of 3.0 and two subjects in A Level with a minimum GPA of 3.0 (A = 5, B = 4, C = 3, D = 2, and E = 1) are required.
d) The children of freedom fighters who have a total GPA of 6.00 in both SSC and HSC may apply for admission. However, a copy of the freedom fighter's certificate must be submitted.
e) Students with a physics and mathematics background are preferred, but it is optional.
Program Learning Outcome:
1. Graduates will be able to demonstrate knowledge and critical understanding of the principles of Data Science and how those principles have developed.
2. Graduates will be able to apply underlying concepts, knowledge, and skills to solve data science problems in various application contexts.
3. Graduates will be able to compare, contrast, and evaluate competing data science methods, design appropriate strategies for specific problem contexts, and utilize modern computing infrastructure to handle massive, complex data.
4. Communication: Graduates will be able to articulate the benefits, risks, formulation, solutions, and results of data science projects to diverse stakeholders, including fellow data scientists, collaborators with subject-matter expertise, and the general public, using written, verbal, and visual forms.
5. Entrepreneurship: Graduates will be able to demonstrate the ability to incorporate entrepreneurial skills into daily planning.
6. Teamwork: Graduates will be able to exercise a high degree of autonomy and responsibility in decision-making for themselves and others, demonstrating professional knowledge and practical skills as both team members and leaders in managing projects with data science components.
7. Graduates will be able to engage themselves in original research and contribute to the advancement of Data Science.
8. Graduates will be able to critically analyze the potential human impacts of data-driven technologies and develop ethically responsible solutions for data science problems by integrating shared social and ethical values into their problem-solving strategies.
9. Graduates will be able to exhibit continuous professional development through active engagement with professional organizations and independent literature reviews, ensuring their knowledge and skills remain current and readily adaptable to the evolving data science landscape.