M.Eng. in Computer Science
The M.Eng. in Computer Science program at the University of Cincinnati focuses on provi...
West Campus, Cincinnati, Ohio
INTAKE: August
The M.Eng. in Artificial Intelligence program at the University of Cincinnati is designed for students who have a strong background in computer science or a related field and are interested in advancing their expertise in AI. The program offers a comprehensive curriculum that combines theoretical knowledge with hands-on practical experience. Students learn about the principles, algorithms, and techniques behind AI, as well as the ethical and societal implications of AI technologies.
Curriculum:
The curriculum of the M.Eng. in Artificial Intelligence program is designed to provide students with a solid foundation in AI concepts and techniques.
Core Courses: Students take a series of core courses that cover fundamental topics in AI, including machine learning, deep learning, natural language processing, computer vision, and data mining. These courses provide a strong theoretical understanding of AI algorithms and methodologies.
Elective Courses: Students have the flexibility to choose elective courses based on their specific interests and career goals. The program offers a wide range of elective courses that cover advanced topics in AI, such as reinforcement learning, robotics, intelligent systems, big data analytics, and AI in healthcare. These courses allow students to specialize in areas that align with their career aspirations.
AI Projects and Lab Work: The program emphasizes practical experience through AI projects and lab work. Students have the opportunity to work on real-world AI problems, applying their knowledge and skills to develop AI solutions. They also gain hands-on experience with AI tools, frameworks, and technologies commonly used in industry.
Industry Collaboration: The University of Cincinnati has strong ties with industry partners, and the program fosters collaboration with these organizations. Students may have the opportunity to work on industry-sponsored projects, internships, or cooperative education experiences, gaining valuable industry exposure and networking opportunities.
Capstone Project: The program culminates in a capstone project where students work in teams to tackle a complex AI problem. This project allows students to integrate their knowledge and skills acquired throughout the program and showcase their abilities to solve real-world AI challenges.
West Campus, Cincinnati, Ohio
IELTS 6.5
USD 28114
Application Fees : US$ 80
Academic Qualifications:
English Language Proficiency: The accepted English language proficiency tests at UC are:
Graduate Record Examination (GRE): The minimum GRE score required may vary depending on the program. Generally, a score of 310 or higher is recommended, but applicants should check the specific program requirements for accurate information.
STEM-Designated Programs: UC offers a range of STEM-designated programs that are eligible for additional benefits, such as Optional Practical Training (OPT) extensions for international students. STEM-designated programs are aligned with disciplines in science, technology, engineering, and mathematics.
Credential Evaluation: International applicants are typically required to submit a credential evaluation from a recognized evaluation service, such as NACES (National Association of Credential Evaluation Services) or WES (World Education Services)
It is important for prospective international postgraduate students to review the specific admission requirements of their intended program at UC, as requirements may vary between programs.
The University of Cincinnati (UC) offers a range of scholarships to international students to support their academic journey. These scholarships recognize academic achievement, leadership potential, and contributions to the community.
Global Scholarship: The Global Scholarship is a prestigious merit-based scholarship offered to incoming international undergraduate students. It provides partial tuition coverage for up to four years of study at UC. Selection is highly competitive, and students are evaluated based on their academic achievements, leadership qualities, and extracurricular involvement.
UC Global Scholarship Plus: The UC Global Scholarship Plus is an enhanced scholarship program that combines the Global Scholarship with additional funding. This provides greater financial support to international undergraduate students, covering a larger portion of their tuition expenses.
UC International Excellence Award: The UC International Excellence Award is a merit-based scholarship available to outstanding international undergraduate students. It recognizes academic excellence, leadership potential, and a commitment to making a positive impact. Recipients of this award receive financial support towards their tuition costs.
Graduate Student Scholarships: UC offers various scholarships and assistantship opportunities to international graduate students. These scholarships may cover tuition expenses, provide stipends, or offer research or teaching assistant positions. Graduate students are encouraged to explore specific scholarships and assistantship opportunities within their respective departments or programs.
Country-Specific Scholarships: UC may offer scholarships specifically tailored to students from certain countries or regions. These scholarships may be based on academic achievement, financial need, or specific criteria set by donors or sponsoring organizations. Prospective international students are advised to check with the university's financial aid office or international admissions office for country-specific scholarship opportunities.
It's important to note that scholarship availability, criteria, and application processes may vary from year to year.
Graduates of the M.Eng. in Artificial Intelligence program from the University of Cincinnati have excellent career prospects in various industries that leverage AI technologies.
AI Engineer/Developer: Graduates can work as AI engineers or developers, creating AI solutions, developing algorithms, and implementing AI models in diverse applications such as healthcare, finance, e-commerce, and autonomous systems.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, specializing in designing and implementing machine learning algorithms and models. They can work on tasks such as data preprocessing, feature engineering, model training, and evaluation.
Data Scientist: Graduates can work as data scientists, leveraging AI techniques to extract insights and make data-driven decisions. They can analyze large datasets, develop predictive models, and provide valuable insights for businesses.
AI Researcher: Graduates can pursue research positions in AI, working in academic institutions, research laboratories, or corporate research and development centers. They can contribute to advancing the field of AI by developing new algorithms, exploring novel applications, or addressing ethical and societal challenges.
AI Consultant: Graduates can work as AI consultants, helping businesses and organizations implement AI strategies and solutions. They can provide expertise in AI technologies, assess AI readiness, and guide the adoption of AI in various domains.