Computer Science 4+1: BS + MS in Artificial Intelligence

Fast-track your future in AI

The 4+1 program in Computer Science and Artificial Intelligence allows highly motivated undergraduates to earn both a bachelor’s of science degree in computer science and a master’s degree in artificial intelligence in just five years. By overlapping graduate coursework during the senior year, students can accelerate their studies, gain a competitive career edge and deepen their expertise in one of today’s most transformative fields.

Graduates emerge prepared to lead in industries such as health care, finance, manufacturing and cybersecurity — or to pursue further study in research and development roles that shape how AI interacts with people, data and technology.

Why choose UD’s 4+1 in Artificial Intelligence?

• Accelerate your path — Earn two degrees in five years, saving time and tuition compared to the traditional path.
• Build real-world skills — Develop deep technical knowledge in machine learning, natural language processing, computer vision, robotics and data science.
• Customize your studies — Choose electives aligned with your interests, from ethical AI and human-centered design to advanced computing and algorithmic foundations.
• Collaborate with experts — Learn from faculty conducting cutting-edge research in trustworthy AI, autonomous systems, and scalable computing.
• Expand your career impact — Enter the workforce or graduate study with advanced credentials that open doors to leadership and innovation roles.

Eligibility

Open to UD undergraduates in the computer science B.S. major.

Admissions Information

Students interested in the 4+1 program in Computer Science and Artificial Intelligence must meet the following minimum criteria:

• A minimum GPA of 3.2 in the major and a 3.0 cumulative GPA overall are recommended.
• Demonstrated competence in key areas of computer science and mathematics, including:
  • Structured high-level programming (e.g., CISC 106, CISC 108, or equivalent)
  • Systems programming (e.g., CISC 210 or equivalent)
  • Data structures (e.g., CISC 220 or equivalent)
  • Calculus (MATH 241 or equivalent), statistics (STAT 200 or MATH 205 or equivalent), and discrete mathematics (MATH 210 or equivalent)
• By the end of the senior year, students must also complete:
  • CISC 320 Introduction to Algorithms (or a more advanced algorithms or theory course)
  • At least one upper-level course in machine learning, data mining, artificial intelligence, or data science, demonstrating readiness for graduate-level AI coursework

How to apply

• Select graduate courses with your advisor that will count for both degrees.
• Submit the abbreviated 4+1 application form (no GRE or application fee required).

Applicants must also submit

1. Three letters of recommendation from professors, employers, or others familiar with the applicant’s academic or professional abilities
2. Official transcripts from all prior and current degree programs
3. A personal statement or essay describing academic goals and preparation (guidelines here)
4. A current résumé or CV