91��Ƶ

Choosing between a master’s in Computer Science (CS) and a master’s in Software Engineering (SE) is a common crossroads for aspiring technologists. Both programs require proficiency in programming and math. Both can lead to rewarding roles across industries. But they are not the same degree, and the differences matter when you picture your day-to-day work.

This guide breaks down what each degree covers, where they overlap, how they differ, and the careers they lead to. We’ll also outline typical admissions requirements, course patterns, and timelines, with examples from respected programs, including 91��Ƶ, to help you compare options and choose the path that fits your goals.

What is a Master's Degree in Computer Science?

Computer scientists study the fundamentals of computer design, usage, and programming. Graduate study examines how computers function as a whole, encompassing both hardware and software, and how systems communicate through wired and wireless networks. Many master’s programs also involve theory and formal methods that inform the design and analysis of software and systems.

Degree Overview and Requirements

Most CS master’s programs expect prior coursework in discrete math, data structures, and at least one programming language. Some, like 91��Ƶ’s MS in Computer Science, offer a short bridge course for applicants without a computing background so career changers can ramp up before core classes begin. Typical application materials include a statement of purpose, a resume, and transcripts from all colleges attended. Letters of recommendation may be optional.

Duration of Program

A common plan of study runs 30–34 credits completed in about 24 months full time, with part-time options for working professionals. Many universities offer multiple start terms across the year and a choice of in-person or online study. International students often seek STEM-designated programs that support internships and practical training.

Coursework

usually blend theoretical depth with hands-on projects, covering:

• Core foundations: Algorithms and complexity, data structures, operating systems, networking, and databases
• Modern computing topics: Distributed and cloud computing, internet and web computing, cybersecurity fundamentals
• Electives that build career focus: Artificial intelligence and machine learning, data science, mobile and web development

As artificial intelligence tools and systems have become embedded in everything from search engines to healthcare tools, many computer science master’s programs incorporate AI concepts into core curriculum rather than limiting them to a narrow specialization.

This shift is reflected in 91��Ƶ's MS in Computer Science program, for example, drawing on more than 30 years of AI education at the Seidenberg School and faculty expertise spanning machine learning, natural language processing, robotics, and intelligent systems. With more than 40 courses across undergraduate and graduate study incorporating AI concepts, and more than 15 faculty members active in AI teaching and research, students encounter artificial intelligence as a recurring theme within broader computing foundations.

Benefits of the Degree

A CS master’s offers a broad technical range. Graduates can pivot among systems work, data-focused roles, and application development. Strong programs provide:

• Research exposure: Faculty-led labs where students co-author papers or present at conferences
• Portfolio-ready projects: Capstones and industry collaborations such as 91��Ƶ’s NYC Design Factory, where students build real products with global partners
• AI research community: Access to centers such as the , where students and faculty collaborate on applied projects in machine learning, natural language processing, and generative AI
• Hands-on AI experience: Opportunities like the 91��Ƶ AI Internship Experience, a short-format, immersive program focused on building and testing AI models through guided, team-based projects
• Career support: Advising, interview prep, and employer connections. For example, 91��Ƶ reports that 93% of Seidenberg students are employed, in service, or continuing education within a year of graduation.

What is a Master's Degree in Software Engineering?

Software engineers specialize in writing code for computers and digital devices while applying engineering principles to design, test, and maintain software. The education centers on the software lifecycle from early planning through launch and maintenance. Professionals in this discipline may also be referred to as software developers, software designers, or computer programmers.

Degree Overview and Requirements

Strong SE programs expect prior programming experience and comfort with data structures and algorithms. Applicants typically submit a statement of purpose, a resume, and transcripts. 91��Ƶ’s Software Development and Engineering MS illustrates a common model: coursework aligned to modern team practices and, uniquely, access to -aligned content as 91��Ƶ is an IEEE Registered Education Provider in the eastern United States.

Duration of Program

Many SE master’s degrees span 30–36 credits and take about 24 months to complete full time, with flexible part-time pacing. Multiple start terms and in-person or online delivery are common. SE programs are frequently STEM-designated and support international students.

Coursework

emphasizes building and shipping reliable software in team settings. Coursework typically includes:

• Core areas: System and software design/architecture and development, software management and evolution, and management of human resources in software teams
• Concentrations: Programming languages, tools, and methods; internet software development; human-computer interaction; secure software development; software process management
• Tooling and practice: Requirements, testing strategies, Continuous Integration/Continuous Delivery (CI/CD), code reviews, observability, and release management

Benefits of the Degree

Graduates strengthen skills that help teams ship features on time and maintain quality in production. Programs that mirror 91��Ƶ’s approach tend to offer:

• Project-heavy learning: App design, implementation, usability studies, and performance tuning
• Industry access: Guest speakers from regional employers and alumni networks
• Global collaboration: Opportunities such as the experience, where students work with peers in Europe and beyond on sponsored projects

See how alumnus Sachin Archer’s trip to Geneva, Switzerland was transformative for his personal and professional education.

Computer Science Vs. Software Engineering: Similarities

Both degrees rest on a shared technical foundation. Graduates from either program can build software, analyze systems, and communicate with cross-functional teams. The overlaps below are the most common.

1. Programming fluency: Exposure to languages such as Python, Java, and SQL, plus version control, testing, and collaboration tools
2. Mathematics and engineering fundamentals: Discrete math, probability, statistics, and algorithmic analysis inform problem solving
3. Career access: Graduates can pursue roles such as software developer, software engineer, data scientist, or computer systems analyst depending on electives, internships, and prior experience

Computer Science Vs. Software Engineering: Differences

The contrasts reflect how each discipline frames its core questions and daily work. Here’s how to think about the split while keeping inevitable overlap in mind.

1. Scope: CS studies computing where hardware, software, and networks meet. SE operates almost entirely in software.
2. Design focus: SE programs train students in product planning, UI/UX principles, and process design for teams. CS programs focus more on system architecture, algorithms, and the constraints that shape performance.
3. Science vs. application: CS investigates the theories and methods that make computers work. SE applies those principles to produce reliable, maintainable software.
4. Creation vs. integration: SE leans on building solutions from scratch with languages, frameworks, and pipelines. CS places heavier emphasis on how hardware, operating systems, networks, and software layers interact.
5. Career breadth: CS often spans more fields, from IT and systems to data science and research. SE is more specialized around product delivery, secure development, and engineering leadership.

Computer Science vs. Software Engineering Fields

Career Paths for Master's in Computer Science Graduates

Computer science graduates can work across artificial and machine intelligence, networks, security monitoring, databases, user interaction, mathematical analysis, and programming language theory. Below are representative roles, the skills they require, and typical pay guidance modeled on ranges that schools like 91��Ƶ share from major salary aggregators such as Glassdoor.

Master in Computer Science Careers

Note: Salary ranges reflect data sourced in August 2025 and can vary based on geographic location, specific job title, organization size, experience level, and various other factors.

Career Paths for Master's in Software Engineering Graduates

SE graduates concentrate on building, testing, releasing, and improving software in organizations of all sizes. The roles below show where the degree commonly leads.

Master in Software Engineering Careers

Note: Salary ranges reflect data sourced in August 2025 and can vary based on geographic location, specific job title, organization size, experience level, and various other factors.

Software Engineering Degree Vs. Computer Science Degree: How to Choose

The best choice depends on your interests, strengths, and where you want to grow. Use the questions and factors below to guide your decision.

• Do you want immediate, practical skills or a deeper “why?”
  If you enjoy algorithms, systems, and the theory that explains how computing works, a CS master’s fits well. If your energy comes from delivering user-facing software and improving reliability, SE suits you.
• Do you want broader long-term mobility or a product-centered path?
  CS supports movement across AI, data, systems, and research. SE focuses on software delivery and leadership in product organizations.

Before you apply, review the points below. Each item has a direct influence on fit and success:

• Your academic interests and strengths: Scan sample syllabi. Which courses and project types sound exciting?
• Degree requirements: Note prerequisites and whether a bridge course is available if you are changing fields.
• Program structure and duration: Credits, pacing for full-time or part-time study, and available start terms.
• Paths to graduation: Capstones, faculty-led research, or sponsored projects such as 91��Ƶ’s NYC Design Factory.
• Career goals: Target roles and the artifacts you want in your portfolio (papers, design docs, production apps).
• Starting positions and salary differences: Developer, data scientist, and cloud roles publish different ranges. Weigh interest and growth expectations rather than chasing a number.
• Which degree program leads to a higher entry-level salary? Pay depends on role and market. Data-focused roles often list higher ranges. Engineering roles provide visible growth ladders.
• Job market demands: Search postings in your city and note required skills and frameworks.
• Potential for career advancement: A graduate degree strengthens your base for senior engineering, architecture, or product leadership over time.

FAQs

Which is better, computer science or software engineering?

Neither is universally better. Choose based on the work you want to do. CS emphasizes breadth across theory, systems, and data. SE emphasizes designing and delivering reliable software in team settings.

Who gets paid more, computer science or software engineering?

Compensation depends on role, location, and experience. Data-oriented roles sometimes publish higher ranges. Engineering roles offer steady progression from engineer to senior, staff, and leadership. Pick the work you prefer, then build experience through projects and internships.

Is software engineering harder than a computer science degree?

Difficulty is personal. CS leans on math and theory alongside systems topics. SE leans on architecture, code quality, testing depth, and delivery under real constraints. Review sample syllabi and imagine the assignments you would enjoy.

Can I become a software engineer with a computer science degree?

Yes. Many software engineers hold CS degrees. Your electives, internships, and portfolio signal readiness for engineering roles.

Is there still demand for software engineers?

Yes. Organizations across every sector hire developers and engineers. A graduate degree coupled with internships and strong project work improves your positioning.

Ready to match your goals with the right program and see the coursework up close? Explore 91��Ƶ’s Master of Science in Computer Science and Master of Science in Software Development and Engineering pages to compare curricula, and then connect with an advisor or request information to start planning your next step.