48
3 years
6
Full-time
Courses | Credit Hours |
---|---|
Advanced Data Science | 3 |
Advanced Human Computer Interaction | 3 |
Advanced Machine Learning | 3 |
Total | 9 |
Courses | Credit Hours |
---|---|
Advanced Image Processing | 3 |
Information security and Assurance | 3 |
Research Methods | 3 |
Total | 9 |
Courses | Credit Hours |
---|---|
Thesis | 30 |
Eligibility Criteria:
– Candidates must have 18 years of education with a minimum 3.0 CGPA in a science/engineering/mathematics discipline, preferably with a 2-year MS degree in ISE/CS/IT/EE/CE/DS or equivalent from an HEC recognized university or degree awarding institute.
– Candidates should have relevant master’s degrees or coursework/research experience in data science, including disciplines like mathematics, statistics, computer science, and engineering.
– Two years of relevant work experience is recommended.
– Minimum 80% marks in previous degree in the annual system or a CGPA of 3.00 out of 4.0 in the semester system, with no more than one second division throughout the academic career and no third division.
– Candidates must pass the HEC (HAT)/GAT NTS (General)/Superior Graduate Admission Test with at least 70%.
– Admission interview by Superior Post Graduate Admission Committee is required.
Our Ph.D. Data Science program stands out due to its research-focused curriculum and state-of-the-art data analysis labs. Students benefit from collaborations with industry and research institutions, gaining real-world experience and exposure to diverse data science applications. The program boasts renowned faculty with global exposure in data science research and fosters a vibrant academic community that encourages interdisciplinary research.
Upon completion of the Ph.D. in Data Science program, graduates can pursue diverse career paths, including:
1. Application Procedure:
– Submission of a completed application form along with required documents, including academic transcripts, identity documents, and passport-sized photographs.
– Payment of the application fee as per university guidelines.
2. Merit-Based Selection:
– Admission is based on merit, with consideration given to academic performance, entrance test scores, and any other criteria specified by the university.
4. Entrance Test:
– Successful completion of the Superior University Admission Test or any other relevant entry test designated by the university.
5. Interview (if applicable):
– Applicants may be required to undergo an interview as part of the selection process.
Note: The admission criteria may vary based on Superior University’s guidelines and specific requirements for this program. Applicants are advised to contact the admissions office for the most up-to-date information.
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