Lewis University

Lewis University is committed to providing a high-quality education in AI to students who possess the necessary skills and dedication to succeed in this dynamic field. To ensure that our students are well-prepared for the challenges of the AI program and to maintain the program's standards, we have established the following eligibility requirements:

• Bachelor's Degree: Applicants must hold a bachelor's degree from an accredited institution or its international equivalent. The degree should be in a relevant field, such as computer science, engineering, mathematics, or a related discipline. Candidates with degrees in other fields who demonstrate strong aptitude in technology and programming may also be considered.
• Prerequisite Courses: Prospective students should have a foundational understanding of computer programming, data structures, algorithms, and mathematics. A solid background in these areas will enable students to thrive in the AI program and build upon their existing knowledge.
• Academic Excellence: Lewis University seeks students who have demonstrated academic excellence throughout their undergraduate studies. A competitive GPA is considered a positive indicator of a candidate's commitment to academic success and their ability to excel in advanced AI coursework.
• Letters of Recommendation: Applicants are required to submit two to three letters of recommendation from individuals who can speak to the applicant's academic abilities, work ethic, and potential for success in the AI program.
• Statement of Purpose: A well-crafted statement of purpose is an integral part of the application process. This essay should highlight the applicant's interest in AI, their career aspirations, and how the Lewis University AI program aligns with their academic and professional goals.
• Standardized Test Scores: While standardized test scores are not the sole determinant of admission, candidates may be asked to submit GRE (Graduate Record Examination) or equivalent test scores to provide additional insight into their academic readiness.
• English Language Proficiency: For international applicants whose native language is not English, proof of English language proficiency is required. Accepted English language proficiency tests include TOEFL (Test of English as a Foreign Language) and IELTS (International English Language Testing System).

Lewis University's Master of Science in Artificial Intelligence (M.S. in AI) program is a premier educational offering that stands at the forefront of AI education. As a pioneer in the field of higher learning, Lewis University sets itself apart through a combination of distinctive features that make its M.S. in AI program exceptional.

• Cutting-Edge Curriculum: The M.S. in AI program at Lewis University boasts a cutting-edge curriculum designed to equip students with the most up-to-date knowledge and skills in artificial intelligence. The comprehensive coursework covers diverse AI domains, ensuring graduates are well-prepared to tackle real-world challenges.
• Expert Faculty and Industry Practitioners: At Lewis University, students have the privilege of learning from distinguished faculty members who are experts in the AI field. These experienced educators bring a wealth of industry insights, research experience, and professional connections, enriching the learning experience and providing valuable mentorship.
• State-of-the-Art Facilities and AI Labs: Lewis University offers state-of-the-art facilities and AI laboratories equipped with advanced hardware and software resources. Students have access to cutting-edge tools, enabling them to conduct hands-on experiments, research, and projects in a dynamic learning environment.
• Interdisciplinary Approach: The M.S. in AI program adopts an interdisciplinary approach, blending principles from computer science, data science, and engineering. This approach nurtures well-rounded AI professionals who can holistically analyze problems and create innovative solutions.
• Specialized Tracks and Customization: Recognizing the diverse interests and career goals of students, Lewis University offers specialized tracks within the M.S. in AI program. Students can tailor their education to focus on areas such as machine learning, computer vision, robotics, or natural language processing, aligning their studies with their passions and aspirations.
• Emphasis on Ethical AI: Ethics play a crucial role in the development and deployment of AI technologies. Lewis University ensures that ethical considerations are central to the program, fostering responsible AI practices and nurturing professionals who are committed to societal well-being.
• Hands-On Learning and Real-World Projects: Lewis University prioritizes hands-on learning, encouraging students to engage in real-world projects that apply AI concepts to practical scenarios. These immersive experiences enable students to build a robust skill set and gain a competitive edge in the job market.
• Strong Industry Partnerships: The university's strong ties with industry leaders and AI-related organizations provide students with valuable networking opportunities, internships, and potential job placements. These partnerships facilitate seamless transitions from academia to the professional world.

Lewis University's M.S. in Computer Science - Artificial Intelligence program takes an interdisciplinary approach, combining the principles of computer science, data science, and engineering to offer a holistic understanding of AI technologies. This unique approach equips students with a well-rounded skill set, preparing them to address complex challenges in AI applications.

• Specialized Tracks: The program offers specialized tracks within the field of Artificial Intelligence, allowing students to tailor their education to match their career interests. Whether it's machine learning, computer vision, natural language processing, robotics, or AI ethics, students can choose a track that aligns with their passions and career aspirations.
• Hands-On Projects: Lewis University emphasizes hands-on learning, and the M.S. in Computer Science - Artificial Intelligence program is no exception. Through engaging projects, students have the opportunity to apply theoretical knowledge to real-world scenarios, gaining practical experience that sets them apart in the job market.
• Industry-Experienced Faculty: Our faculty comprises experienced AI practitioners and researchers who bring a wealth of industry knowledge to the classroom. Their insights into the latest AI trends, technologies, and applications enrich the learning experience and prepare students to excel in the ever-evolving AI landscape.
• Ethical AI Focus: The M.S. in Computer Science - Artificial Intelligence program at Lewis University emphasizes the ethical implications of AI technologies. Students explore the responsible development and deployment of AI systems, ensuring they become AI professionals who prioritize ethical considerations in their work.
• Cutting-Edge Research Opportunities: Lewis University encourages students to engage in cutting-edge research in AI. Through partnerships with research institutions and industry leaders, students gain access to exciting research projects, advancing their understanding of AI and contributing to the field's knowledge.
• Small Class Sizes: With small class sizes, Lewis University fosters an intimate learning environment, enabling personalized attention and interaction with faculty. This ensures that students receive individualized support to maximize their learning potential.
• Strong Industry Connections: Lewis University maintains strong ties with AI-related companies and organizations. These connections provide students with networking opportunities, internships, and potential job placements, bridging the gap between academia and industry.