30
2 years
4
Full-time
Course | Credit Hours |
---|---|
Data Mining | 3 |
Research Methods | 3 |
Statistical and Mathematical Methods | 3 |
Tools and Techniques in Data Science | 3 |
Total | 12 |
Course | Credit Hours |
---|---|
Computer Vision | 3 |
Introduction to Data Science | 3 |
Machine Learning | 3 |
Predictive Analysis | 3 |
Total | 12 |
Course | Credit Hours |
---|---|
Thesis | 6 |
Total | 6 |
Eligibility Criteria:
Candidates must hold a 16-year degree in a relevant field with a minimum CGPA of 2.0 (on a scale of 4.0) in the semester system or 60% marks in the annual program. Additionally, candidates must secure a minimum of 50% in the Quality GAT General (NTS) or 60% in the GAT General (University)..
Our MS Data Science program stands out due to its conducive environment for interdisciplinary research, fostering collaborations between academia and industry for hands-on practice. Students learn from internationally qualified faculty renowned for their exceptional research profiles and gain expertise in cutting-edge data analytics and machine learning technologies. The program prepares students for impactful careers in data science and offers entrepreneurial opportunities in the data analytics industry.
Enrolling in our MS Data Science program provides numerous benefits, including:
Entrepreneurial prospects in the growing data analytics industry, leveraging data-driven insights for business innovation and decision-making.
Upon completion of the MS 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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