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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 designed to develop advanced AI researchers, innovators, and entrepreneurs who can solve real-world problems through intelligent systems. The program emphasizes industrial applied research, innovation, commercialization, and product development — leading to 1 AI Product by every graduate. Students develop deep research expertise in machine learning, deep learning, natural language processing, computer vision, reinforcement learning, AI ethics, and AI systems deployment.

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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?
Weekend Classes Available

Weekend Classes Available

Flexible attendance with weekend classes (Saturday & Sunday) alongside full-time options.

1 MS ? 1 AI Product by Graduation

1 MS ? 1 AI Product by Graduation

Every graduate completes an original research-driven AI product or solution.

Research Grants & Funding Support

Research Grants & Funding Support

Access to competitive research funding and financial support for thesis projects.

Hands-on Training & Real Projects

Hands-on Training & Real Projects

Direct engagement with cutting-edge AI tools, datasets, and real-world research projects.

AI Platforms

Google AI Certification

Google AI Certification

Professional certification in Google AI and machine learning tools.

AWS Academy Certification

AWS Academy Certification

Certification in Amazon Web Services AI and machine learning services.

Microsoft Azure SkillsBuild

Microsoft Azure SkillsBuild

Professional certification in Microsoft Azure AI and data science.

IBM Certification

IBM Certification

Certification in IBM enterprise AI solutions and platforms.

DeepLearning AI Specialization

DeepLearning AI Specialization

Certification in deep learning and advanced AI research techniques.

Key Skills You Will Learn
Machine Learning Fundamentals

Machine Learning Fundamentals

Deep Learning & Neural Networks

Deep Learning & Neural Networks

Natural Language Processing & LLMs

Natural Language Processing & LLMs

Computer Vision & Image Recognition

Computer Vision & Image Recognition

Reinforcement Learning & Optimization

Reinforcement Learning & Optimization

AI Systems Design & MLOps

AI Systems Design & MLOps

Data Science & Big Data Analytics

Data Science & Big Data Analytics

AI Ethics & Responsible AI

AI Ethics & Responsible AI

Career Outcomes

Senior ML Engineer

AI Research Scientist

Lecturer / Assistant Professor

NLP / CV Engineer

Deep Learning & NLP

Machine Learning & Deep Learning

  • TensorFlow & PyTorch
    TensorFlow & PyTorch
  • Python Programming
    Python Programming
  • Scikit-Learn & ML Libraries
    Scikit-Learn & ML Libraries
  • Big Data Processing & Analytics
    Big Data Processing & Analytics
  • AWS/Google Cloud/Azure
    AWS/Google Cloud/Azure
  • Data Visualization & MLOps
    Data Visualization & MLOps
  • GPU & High Performance Computing
    GPU & High Performance Computing
  • NLP & Computer Vision Libraries
    NLP & Computer Vision Libraries

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

Artificial Intelligence Research Track

Advanced Machine Learning & Deep Learning
Advanced Machine Learning & Deep Learning
Natural Language Processing & Large Language Models
Natural Language Processing & Large Language Models
Computer Vision & Image Recognition
Computer Vision & Image Recognition
Reinforcement Learning & Applied AI
Reinforcement Learning & Applied AI
AI Ethics, Governance & Responsible AI
AI Ethics, Governance & Responsible AI

TRANSFORMATIONAL JOURNEY

Discover your 3C Advantage

Character

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

Courage

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

Competence

Advanced AI Research Mastery — Students develop expert competence in deep learning architectures and neural networks, natural language processing and large language models, computer vision and image recognition, reinforcement learning, AI systems engineering and MLOps, and formal research methodology — producing AI researchers ready for industry and academia.

FAQs

Frequently Asked Questions

2 years full-time with flexible weekend attendance options available.

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