AI Degree: Master of Engineering vs. Master of Science

Deciding between a MEng or MS in AI? Discover key factors, career insights, and skill sets to make an informed choice.

UIC women engineering graduate smiles in cap and gown

If you find yourself contemplating a career in artificial intelligence (AI) and machine learning (ML), you might be grappling with the decision of whether to pursue a Master of Engineering (MEng) with a focus on AI and ML or a Master of Science (MS) in computer science.

AI is a subset of computer science that focuses on developing and implementing intelligent agents through computer programs. A MEng degree is often designed to offer a more applied and practical education whereas an MS degree is often more research oriented. Deciding between a MEng and MS degree requires careful consideration of several factors.

Master of Engineering versus Master of Science

Interest and Passion

Consider your enthusiasm for either the broad field of computer science or the specialized domain of artificial intelligence and machine learning. Reflect on the specific topics that genuinely captivate you and resonate with your long-term career aspirations.

A Master of Engineering degree is designed to strengthen and expand the technical and practical skills engineers need to advance their career. MEng degree programs that focus on applied topics in artificial intelligence typically provide specialized knowledge and skills specifically tailored for working in AI-related fields. You can expect to delve deep into topics such as machine learning, natural language processing, computer vision, and robotics. This focused curriculum may equip you with the expertise needed to tackle the unique challenges posed by AI applications. In addition, because the program is intended to support career advancement of working professionals the MEng curriculum also includes leadership development as part of its program.

A Master of Science in Computer Science degree offers a broader scope, encompassing various aspects of computer science. While you can still specialize in AI within a computer science program, your coursework will explore other areas such as software development, databases, and networking. This broader foundation can be advantageous if you are interested in a diverse range of applications beyond AI.

Career Goals

If your passion lies in AI research, development, and innovation, opting for a MEng degree that focuses on Artificial Intelligence could be an excellent choice. On the other hand, an MS in Computer Science might provide a more versatile foundation, opening doors to a variety of technology roles beyond AI.

According to Glassdoor, Indeed, and PayScale, potential careers and salary ranges for MEng graduates are:

  • Natural Language Processing Engineer: $111,000 average salary 
  • Data Scientist: $125,000 average salary 
  • AI Research Scientist: $130,000 average salary 
  • AI Product Manager: $135,000 average salary 
  • Machine Learning Engineer: $160,000 average salary 

According to Glassdoor, Indeed, and PayScale, potential careers for MS CS graduates are: 

  • Web Developer: $71,000 average salary 
  • Systems Analyst: $97,000 average salary 
  • Database Administrator: $100,000 average salary 
  • Software Developer: $119,000 average salary 
  • Computer and Information Research Scientist: $130,000 average salary 

Skill Enhancement

Assess the skills you wish to cultivate. Thinking about the skills you want to acquire before enrolling in a master’s program is a strategic approach that ensures your educational journey is purposeful and aligned with your career goals. It will equip you with the expertise needed in your chosen field.

A Master of Engineering (MEng) degree in AI explores machine learning, neural networks, and AI algorithms tailored to specialized expertise in the field. We also include a core strength of leadership development. The advanced program cultivates proficiency in various skills, encompassing:

  • Foundations of AI and ML
  • Mathematical Foundations
  • Natural Language Processing
  • Deep Neural Networks
  • Legal and Ethical Proficiency
  • Leadership development

A Master of Science (MS) in Computer Science degree provides a diverse skill set, spanning various areas such as software engineering, databases, and networking. Key skills acquired in this program often include:

  • Programming Proficiency
  • Algorithms and Data Structures
  • Software Engineering
  • Database Management
  • Networking and Security

Program Curriculum

Exploring the curriculum of both master’s programs is important. Does it resonate with your interests and align with your career goals? Look for programs that provide hands-on experience, practical projects, and opportunities for networking. A well-rounded curriculum tailored to your aspirations can significantly enhance your learning experience.

The University of Illinois Chicago’s online Master of Engineering with a focus area in AI and Machine Learning curriculum goes beyond technical skills to incorporate crucial areas of leadership development. This strategic integration aims to produce well-rounded professionals capable of not only mastering advanced technical concepts but also capable of effectively leading in the dynamic landscape of AI and machine learning.

Faculty and Resources

Research the expertise of the faculty, their industry connections, and the resources available to students. Engaging with experienced professors who are actively involved in your field of interest can offer valuable insights and mentorship. Access to cutting-edge tools and resources can also play a crucial role in enriching your academic journey and preparing you for the practical challenges in your chosen field. The students enrolled in UIC’s online MEng program learn from faculty who are leading experts in the field, actively working and researching in these disciplines.

Enroll in UIC’s online MEng with a focus area in AI and ML program

The University of Illinois Chicago’s online MEng program is a professional, non-thesis degree designed for professionals who seek to advance their technical breadth and depth in the areas of artificial intelligence (AI) and Machine Learning (ML) while gaining key management and leadership skills relevant for careers driven by AI innovation. This 100% online asynchronous program provides students with the fundamentals in AI and ML and helps them build a breadth of expertise in areas such as neural networks, natural language processing, and deep neural networks for a broad range of applications. Full-time students can complete the entire program in as few as 12 months.

Take the next step in your career today and talk to an enrollment specialist to learn more about UIC’s online MEng degree.

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