MS in Artificial Intelligence

2 Years On Campus Masters Program

University of Delaware

Program Overview

The Master of Science in Artificial Intelligence at the University of Delaware is a specialized graduate program designed to prepare students for careers in AI research, machine learning, intelligent systems, and advanced technology development. The program focuses on building both theoretical understanding and practical AI expertise, enabling students to develop innovative solutions for complex real-world challenges across industries such as healthcare, finance, transportation, and technology.

The degree requires 30 credit hours and is typically completed in 2 years. Students may pursue either a thesis or non-thesis pathway depending on their career objectives.

Curriculum Structure

Year 1

Students begin by developing a strong foundation in the core principles of artificial intelligence and computer science. Coursework emphasizes:

  • Machine Learning
  • Neural Networks
  • Optimization
  • Algorithm Design and Analysis
  • Artificial Intelligence Foundations
  • Mathematical and Statistical Methods

Students gain a deep understanding of how modern AI systems learn, adapt, and solve problems while strengthening their computational and analytical skills.

Year 2

During the second year, students pursue advanced AI topics and research-oriented coursework. Areas of specialization may include:

  • Natural Language Processing
  • Computer Vision
  • Advanced Machine Learning
  • AI Model Optimization
  • Intelligent Systems
  • Deep Learning Applications

Students in the thesis track conduct original research under faculty supervision, while non-thesis students complete advanced coursework designed for professional practice and industry leadership. [cis.udel.edu], [aidegreecenter.org]

Focus Areas

Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Computer Vision; Natural Language Processing; Algorithm Design; Optimization; Intelligent Systems; AI Research and Development.

Learning Outcomes

Develop expertise in machine learning, artificial intelligence, neural network design, optimization techniques, algorithm development, computer vision, natural language processing, AI model evaluation, advanced programming, and data-driven problem-solving.

Professional Alignment (Accreditation)

The program prepares students for careers as AI Engineers, Machine Learning Engineers, Data Scientists, AI Researchers, Computer Vision Specialists, and Natural Language Processing Engineers. Graduates develop the advanced technical skills needed to design, implement, optimize, and manage sophisticated AI solutions across a variety of industries.

Reputation (Employability Rankings)

The program is offered through the Department of Computer and Information Sciences, which has established strengths in artificial intelligence, machine learning, natural language processing, computer vision, robotics, networks, software engineering, and distributed systems. The curriculum emphasizes developing AI professionals who can move beyond standard software libraries and create innovative, customized solutions for emerging technological challenges.

Experiential Learning (Research, Projects, Internships etc.)

At the University of Delaware, the Master of Science in Artificial Intelligence program is designed to provide students with hands-on experience that is crucial for success in the rapidly evolving field of AI. Students have access to state-of-the-art facilities and cutting-edge tools that enhance their learning and practical skills. The program emphasizes experiential learning through collaborative projects, internships, and research opportunities, ensuring that graduates are well-prepared for the workforce.

Here are some key aspects of the experiential learning opportunities available in the program:

- Research Labs: Students can engage in innovative research at the Delaware Center for Cognitive Aging Research and the Data Science Institute, where they can work on real-world AI applications.
- Collaborative Projects: The curriculum includes group projects that encourage teamwork and problem-solving, allowing students to tackle complex AI challenges together.
- Internships: The program offers connections to industry partners, providing students with internship opportunities that give them practical experience and networking possibilities.
- Software and Tools: Students gain proficiency in essential AI software and programming languages, including Python, TensorFlow, and PyTorch, which are widely used in the industry.
- Field Trips: The program includes field trips to tech companies and research institutions, giving students insights into the latest AI developments and industry practices.
- Libraries and Resources: Access to the University of Delaware Library and its extensive digital resources supports students in their research and project work.
- Dedicated Facilities: The university boasts advanced computing facilities equipped with high-performance servers and workstations tailored for AI research and development.

Progression & Future Opportunities

The Master of Science in Artificial Intelligence at the University of Delaware equips graduates with the skills and knowledge needed to excel in a rapidly evolving field. With a strong emphasis on practical applications and cutting-edge research, students can look forward to exciting career opportunities in roles such as Machine Learning Engineer, Data Scientist, and AI Research Scientist.

Here’s what you can expect in terms of progression and future opportunities:

- University Services: The Career Services Center offers personalized career counseling, resume workshops, and interview preparation to help you secure internships and job placements. Additionally, the university hosts job fairs and networking events specifically focused on technology and AI sectors.

- Employment Stats and Salary Figures: Graduates from the program have a high employment rate, with many securing positions within six months of graduation. The average starting salary for AI-related roles is around $100,000, reflecting the high demand for skilled professionals in this area.

- University–Industry Partnerships: The University of Delaware has established partnerships with leading tech companies such as DuPont and JPMorgan Chase, providing students with opportunities for internships, collaborative projects, and potential job placements.

- Long-term Accreditation Value: The program is accredited by the Middle States Commission on Higher Education, ensuring that your degree holds value and recognition in the job market for years to come.

- Graduation Outcomes: Alumni of the program have gone on to work at prestigious organizations, contributing to innovative projects and research in AI, further enhancing the university's reputation in the field.

Further Academic Progression: After completing your Master’s degree, you may choose to pursue a Ph.D. in Artificial Intelligence or a related field, allowing you to delve deeper into research and potentially teach at the university level. This path can open doors to advanced research positions and leadership roles in academia or industry, further solidifying your expertise and career trajectory in the AI landscape.

Program Key Stats



70%

Eligibility Criteria


6.5
79
No
Eligibility criteria

Additional Information & Requirements

Career Options

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Deep Learning Engineer
  • AI Research Scientist
  • Natural Language Processing Engineer
  • Computer Vision Engineer
  • Robotics Engineer
  • Data Scientist
  • AI Software Developer
  • Autonomous Systems Engineer
  • AI Solutions Architect
  • Intelligent Systems Engineer
Career options

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