Ph.D Data Science - Superior University Lahore

Ph.D Data Science

Build the skills to lead in Ph.D Data Science

The Ph.D Data Science program at Superior University is tailored for individuals seeking to augment their knowledge and research skills in the rapidly evolving field of data science. The program offers a comprehensive and rigorous curriculum that delves into advanced topics such as machine learning. data mining, and statistical modeling, and introduces students to pioneering research methodologies and techniques.

Eligibility Criteria

18-years of education with 3 CGPA in science/
engineering/mathemat cs discipline preferably with 2 years degree program of MS (SE/CS/IT/EE/CE/DS) or equivalent from HEC recognized university or degree awarding institute.
• Candidates with relevant master’s degrees and candidates with course work or research experience in data science. Relevant degrees include mathematics, statistics, computer science, engineering, and other scientific disciplines that develop skills in drawing inferences or making predictions using data.
• Two years of relevant work experience is recommended.
• Minimum 80% marks in previous degree in case of annual system or 3.00/4.0 CGPA in case of semester system with no more than one second division throughout the academic career.
• No third division in entire academic career.
• Pass the following:
i. HEC (HAT) / GAT NTS (General) / Superior Graduate Admission Test; (at least 70%)
ii. Admission Interview by Superior Post Graduate Admission Committee.

Semester 1

CoursesCredit Hours

Semester 2

CoursesCredit Hours

Semester 3,4,5&6



Artificial Intelligence
Big Data Analytics
Data Science
Information Security
Data Security & Cryptography
Machine Learning
Deep Learning
Advanced Computer Vision
Distributed Computing
Data Visualization
Cloud Computing
Algorithmic trading
Bayesian Data Analysis
Computational Genomics
Deep Reinforcement Learning
Distributed Data Processing
Inference & Representation
Natural Language Processing
Optimization Methods for Data Science and
Machine Learning
Probabilistic Graphical Models
Scientific Computing in Finance
Social network analysis
Time series Analysis and Prediction
Advanced Web Architecture and Technologies
Information System Development
Information System Management
Information Systems Audit
Secure Software Development
Principles of Programming Languages
Advance Database Systems
Data Mining & Datawarehousing
Advanced Database Administration & Management
Distributed Database Systems
Enterprise Resource Planning System
Data Science
Business Process Management
Business Intelligence and Analytics
Knowledge Management
Distributed Computing
Agent Based Computing
High Performance Computing
Real Time Systems
Data Security & Cryptography
Computer Graphics
Advanced Computer Vision
Natural Language Processing
Computational Intelligence
Introduction to Soft Computing
Complex Networks
Object Oriented Analysis & Design
IT Requirement Engineering
Special Topic

*To accommodate modern trends, Institute may reserve the right to change course requirements, fees, course classifications, course contents, class schedules, venues, faculty and the like, whenever it deems appropriate.