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MS Software Engineering

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Program Overview

Credit Hours

32

Duration

2 Years

Semesters

4

Attendance

Full-time

The MS Software Engineering program at Superior University is a 2-year postgraduate research degree offering advanced specialization in software architecture, software quality engineering, DevOps and CI/CD, software project management, formal methods, distributed systems, and software research methodology. Students develop deep research expertise through advanced coursework and an original thesis — preparing graduates for senior software engineering roles, technical leadership, academic positions, and doctoral programs.

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PROGRAM ACCREDITATIONS

Why Choose MS Software Engineering at Superior University?
Advanced Software Architecture Expertise

Advanced Software Architecture Expertise

Master modern software architecture patterns including microservices, cloud-native design, and distributed systems. Design scalable systems that solve real-world engineering challenges.

Research-Driven Learning with Thesis Focus

Research-Driven Learning with Thesis Focus

Conduct original research in software engineering contributing publishable work. Develop skills in empirical SE research methodologies and academic publications in top-tier venues.

DevOps & CI/CD Pipeline Expertise

DevOps & CI/CD Pipeline Expertise

Learn advanced DevOps practices, continuous integration/deployment, containerization, and cloud infrastructure. Become proficient in modern development toolchains and automation frameworks.

Quality Engineering & Testing Mastery

Quality Engineering & Testing Mastery

Develop deep expertise in software testing, quality assurance, formal methods, and reliability engineering. Learn to build systems that are dependable, maintainable, and production-ready.

Industry-Aligned Curriculum

Industry-Aligned Curriculum

Curriculum designed with industry leaders covering latest technologies and practices. Work with modern development stacks, frameworks, and tools used by top technology companies.

Path to Technical Leadership & Academia

Path to Technical Leadership & Academia

Prepare for senior technical roles (Staff Engineer, Architecture Lead), DevOps leadership, or academic positions. Develop leadership competencies and research publication skills.

Key Skills You Will Learn
Advanced Software Architecture

Advanced Software Architecture

Software Quality Engineering

Software Quality Engineering

DevOps & CI/CD Pipeline Management

DevOps & CI/CD Pipeline Management

Distributed Systems Design

Distributed Systems Design

Software Testing & Quality Assurance

Software Testing & Quality Assurance

Research Methodology in Software Engineering

Research Methodology in Software Engineering

Formal Methods & Verification

Formal Methods & Verification

Technical Leadership & Engineering Ethics

Technical Leadership & Engineering Ethics

Career Outcomes

Principal / Staff Engineer

Software Architecture Lead

DevOps Engineering Lead

Lecturer — Software Engineering

Tools and Technologies you will Master

Architecture & Design

  • UML Modeling Tools
    UML Modeling Tools
  • Enterprise Architecture Tools
    Enterprise Architecture Tools
  • API Design Frameworks
    API Design Frameworks
  • Microservices Patterns
    Microservices Patterns

Version Control & Collaboration

  • Git & GitHub
    Git & GitHub
  • GitLab
    GitLab
  • Bitbucket
    Bitbucket
  • Code Review Platforms
    Code Review Platforms

Containerization & Orchestration

  • Docker
    Docker
  • Kubernetes
    Kubernetes
  • Docker Compose
    Docker Compose
  • Helm Charts
    Helm Charts

Cloud Platforms

  • AWS
    AWS
  • Google Cloud Platform
    Google Cloud Platform
  • Microsoft Azure
    Microsoft Azure
  • Cloud Deployment
    Cloud Deployment

CI/CD & Automation

  • Jenkins
    Jenkins
  • GitLab CI/CD
    GitLab CI/CD
  • GitHub Actions
    GitHub Actions
  • Docker Registry
    Docker Registry

Testing Frameworks

  • JUnit
    JUnit
  • TestNG
    TestNG
  • Selenium
    Selenium
  • Cypress
    Cypress

Quality & Performance

  • SonarQube
    SonarQube
  • JMeter
    JMeter
  • LoadRunner
    LoadRunner
  • Code Coverage Tools
    Code Coverage Tools

Metrics & Analytics

  • Prometheus
    Prometheus
  • Grafana
    Grafana
  • ELK Stack
    ELK Stack
  • DataDog
    DataDog

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 Software Engineering
CourseCredit Hours
Software Quality Assurance and Testing3
Research Methodology3
IS Elective-I3
IS Elective-II3
Fehm-e-Quran -I1
Total Credit Hours13
CourseCredit Hours
Advanced Software Architecture3
Advanced Requirement Engineering3
IS Elective-III3
IS Elective-IV3
Fehm-e-Quran -II1
Total Credit Hours13
CourseCredit Hours
Research Thesis (part-I)3
Total Credit Hours3
CourseCredit Hours
Research Thesis (part-II)3
Total Credit Hours3
CourseCredit Hours
Object Oriented Analysis & Design
Human Computer Interaction
Software Construction & Development
Software Project Management
Software Engineering Economics
Software Construction
Aspect Oriented Design & Development
Formal Methods in Software Engineering
Software Risk Management
Software Configuration & Change Management
Software Product Line Engineering
Automated Software Engineering
Software Product Line Engineering
Software Measurement and Metrics
Software Costing and Estimation
Global Software Engineering
Software Dependability
Semantic based Software Development
Model Driven Software Development
Principles of Programming Languages
Advance Database Systems
Data Mining & Data Warehousing
Database Administration & Management
Distributed Database Systems
Data Science
Business Process Management
Business Intelligence and Analytics
Knowledge Management
Advanced Distributed Computing
Data Security & Cryptography
Advanced Web Application Development
Mobile Application Development
Advanced Mobile Application Development
Game Programming
Advanced Computer Graphics

Research Specializations

Software Architecture & Microservices
Software Architecture & Microservices
DevOps & Cloud-Native Systems
DevOps & Cloud-Native Systems
Software Quality & Testing Engineering
Software Quality & Testing Engineering
Formal Methods & Verification
Formal Methods & Verification

TRANSFORMATIONAL JOURNEY

Discover your 3C Advantage

Character

Technical Leadership with Engineering Ethics — MS Software Engineering graduates lead development teams and make architectural decisions affecting system security, reliability, and maintainability. This program builds technical leaders who document accurately, test thoroughly, and never ship software they know is fundamentally flawed.

Courage

The Courage to Architect at Scale — Distributed systems, microservices, and cloud-native architectures involve genuine uncertainty and complexity. Students develop the technical courage to make architectural decisions at scale with incomplete information and stand behind them.

Competence

Advanced Software Engineering Research & Leadership Competence — Students develop advanced competence in software architecture, quality engineering, DevOps, formal methods, and software research — producing technical leaders capable of guiding large engineering teams and contributing publishable SE research.

FAQs

Frequently Asked Questions

Yes, but it also includes system design, architecture, formal methods, and engineering practices. The focus is on advanced software engineering principles beyond just coding.

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