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MS Data Science

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Program Overview

Credit Hours

32

Duration

2 Years

Semesters

4

Attendance

Full-time

The MS Data Science program at Superior University is a 2-year postgraduate research degree offering advanced specialization in machine learning theory, deep learning architectures, causal inference, natural language processing, computer vision, big data engineering, MLOps, and data science research methodology. Students develop original research expertise through advanced coursework and a research thesis — preparing graduates for senior data science roles, AI/ML research, academic positions, and doctoral programs.

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PROGRAM ACCREDITATIONS

Why Choose MS Data Science at Superior University?
Weekend Classes Available

Weekend Classes Available

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

1 MS ? 1 Data Science Product

1 MS ? 1 Data Science Product

Every graduate completes an original research-driven data science 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 ML tools, datasets, and real-world research projects.

Cloud & Analytics Platforms

Google Data Analytics Certification

Google Data Analytics Certification

Professional certification in Google Data Analytics and tools.

AWS Academy Certification

AWS Academy Certification

Certification in Amazon Web Services data science and analytics.

Microsoft Azure Certification

Microsoft Azure Certification

Professional certification in Microsoft Azure data science.

IBM SkillsBuild Certification

IBM SkillsBuild Certification

Certification in IBM enterprise analytics and data science platforms.

Tableau Certification

Tableau Certification

Professional certification in Tableau data visualization.

Key Skills You Will Learn
Data Analysis & Exploratory Data Science

Data Analysis & Exploratory Data Science

Machine Learning Theory & Practice

Machine Learning Theory & Practice

Deep Learning & Neural Networks

Deep Learning & Neural Networks

Statistics & Probability Analysis

Statistics & Probability Analysis

Data Visualization & Communication

Data Visualization & Communication

Big Data Technologies & Processing

Big Data Technologies & Processing

Business Intelligence & Analytics

Business Intelligence & Analytics

Research Methodology & Thesis Writing

Research Methodology & Thesis Writing

Career Outcomes

Senior Data Scientist

ML Research Engineer

Data Science Lead

Lecturer — Data Science

Machine Learning

Machine Learning & Statistical Analysis

  • Scikit-Learn & ML Libraries
    Scikit-Learn & ML Libraries
  • TensorFlow & PyTorch
    TensorFlow & PyTorch
  • Python Programming
    Python Programming
  • Statistical Analysis Tools
    Statistical Analysis Tools
  • Big Data Processing
    Big Data Processing
  • AWS/Google Cloud/Azure
    AWS/Google Cloud/Azure
  • Data Visualization Tools
    Data Visualization Tools
  • High Performance Computing
    High Performance Computing

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 Data Science
CourseCredit Hours
Machine Learning3
Research Methodology3
DS Elective–I3
DS Elective–II3
Understanding of Holy Quran–I1
Total13
Total Credit Hours26
CourseCredit Hours
Statistical and Mathematical Method3
Tools and Techniques in Data Science3
DS Elective–III3
DS Elective–IV3
Understanding of Holy Quran–II1
Total13
Total Credit Hours26
CourseCredit Hours
Thesis/Two Courses6
Total6
Total Credit Hours12
CourseCredit Hours
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
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 Topics

Data Science Research Track

Machine Learning Theory & Deep Learning
Machine Learning Theory & Deep Learning
Causal Inference & Advanced Methods
Causal Inference & Advanced Methods
Natural Language Processing & Computer Vision
Natural Language Processing & Computer Vision
Big Data Engineering & MLOps
Big Data Engineering & MLOps
Applied Data Science & Business Analytics
Applied Data Science & Business Analytics

TRANSFORMATIONAL JOURNEY

Discover your 3C Advantage

Character

Data Science Research Integrity — ML models influence high-stakes decisions in healthcare, criminal justice, and finance. MS researchers develop the rigorous scientific integrity to validate models honestly, acknowledge uncertainty, and publish negative results alongside positive ones.

Courage

The Courage to Pursue Causal Understanding — Most data science remains correlational. Students develop the scientific courage to pursue causal research questions — using randomized experiments, instrumental variables, and causal ML methods that require more rigorous methodology but deliver more actionable insights.

Competence

Advanced Data Science Research Mastery — Students develop expert competence in ML theory, deep learning, causal inference, NLP, computer vision, MLOps, and data science research methodology — producing data scientists who contribute original publishable research alongside advanced technical capability.

FAQs

Frequently Asked Questions

Yes, a thesis is mandatory and contributes to the 1 MS ? 1 Data Science Product outcome.

Portals

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Faculty
Portal

Staff
Intranet

Alumni
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