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MS Artificial Intelligence

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Program Overview

Credit Hours

32

Duration

2 Years

Semesters

4

Attendance

Full-time

The MS Artificial Intelligence program at Superior University is a 2-year postgraduate research degree for computing graduates seeking advanced AI specialization beyond undergraduate level. Students develop deep research expertise in advanced machine learning, deep neural architectures, natural language processing, computer vision, reinforcement learning, AI ethics, and AI systems deployment — completing an original research thesis contributing to the rapidly evolving body of AI knowledge.

The program prepares graduates for AI research roles, senior ML engineering positions, academic appointments, and doctoral AI programs nationally and internationally.

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PROGRAM ACCREDITATIONS

HEC Compliant Curriculum

HEC Compliant Curriculum

The primary regulatory body for higher education in Pakistan.

HEC works alongside the Pharmacy Council of Pakistan (PCP) to ensure institutes maintain high academic standards

Why Choose MS Artificial Intelligence at Superior University?
Professional Certifications
Key Skills You Will Learn

Advanced Deep Learning

Advanced NLP Research

Computer Vision Research

Reinforcement Learning

Career Outcomes

Senior ML Engineer

AI Research Scientist

Lecturer / Assistant Professor

NLP / CV Engineer

Admissions & Eligibility

Domestic Applicants

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).

International Applicants

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).

⚠️ Important

Always refer to the Admissions Office for the current criteria, deadlines and documentation.

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Program Roadmap

Explore courses roadmap in MS Artificial Intelligence
CourseCredit Hours
Advance Data Mining3
Mathematics for Artificial Intelligence3
Machine Learning3
Research Method3
Understanding of Holy Quran - I1
Total Credit Hours13
CourseCredit Hours
Statistical and Mathematical Method3
Tools and Techniques in Data Science3
Deep Learning3
Advance Artificial Intelligence3
Understanding of Holy Quran - II1
Total Credit Hours13
CourseCredit Hours
Thesis/Two Courses6
Total Credit Hours6
CourseCredit Hours
Big Data Analytics
Data Science
Information Security
Data Security & Cryptography
Machine Learning
Robotics
Deep Learning
Advanced Computer Vision
Distributed Computing
Data Visualization
Cloud Computing
Algorithmic Trading
Bayesian Data Analysis
Bioinformatics
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 & Data Warehousing
Advanced Database Administration & Management
Distributed Database Systems
Enterprise Resource Planning System
Business Process Management
Business Intelligence and Analytics
Knowledge Management
Agent Based Computing
High Performance Computing
Real Time Systems
Computer Graphics
Computational Intelligence
Introduction to Soft Computing
Complex Networks
Object Oriented Analysis & Design
IT Requirement Engineering
Special Topic
Total Credit Hours0

TRANSFORMATIONAL JOURNEY

Discover your 3C Advantage

Character

Responsible AI Research — MS AI researchers design systems that will affect millions. This program builds researchers who integrate ethics, fairness, and transparency into their AI research — not as an afterthought, but as a foundational research requirement.

Courage

The Courage to Advance Beyond Current Models — AI research requires the courage to design novel architectures, challenge state-of-the-art baselines, and pursue research questions where the answer is genuinely unknown.

Competence

Advanced AI Research Mastery — Students develop expert competence in deep learning architectures, advanced NLP, computer vision research, RL, and AI systems engineering — producing AI researchers who can contribute original, publishable research.

FAQs

Frequently Asked Questions

2 years.

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