M.S. in Artificial Intelligence

Entry Requirements for Postgraduate programs

Academic Requirements:

1. Bachelor's Degree: Applicants must have completed a bachelor's degree or its equivalent from a recognized institution. The minimum required percentage for admission is typically 60% or above.

English Language Proficiency: 

1. IELTS (International English Language Testing System): A minimum overall score of 6.5 is required, with no individual band score lower than 6.0.

2. TOEFL iBT (Test of English as a Foreign Language - Internet-Based Test): A minimum overall score of 80 is often required.

3. PTE (Pearson Test of English): A minimum score of 54 may be required.

4. DET (Duolingo English Test): A minimum score of 110 is typically accepted.

Saint Louis University (SLU) in the United States offers a range of scholarships and financial aid opportunities to support international students in their pursuit of higher education. These scholarships are designed to recognize academic excellence, promote diversity, and assist students in managing the costs of their education.

1. Merit-Based Scholarships: SLU offers merit-based scholarships to international students based on their academic achievements, typically in the form of tuition reductions. These scholarships may vary in amount and eligibility criteria, but they are generally awarded to students with outstanding academic records.

2. International Student Scholarships: SLU specifically offers scholarships for international students to promote diversity and foster a global campus community. These scholarships may consider factors beyond academics, such as leadership, community involvement, or extracurricular achievements.

3. Departmental Scholarships: Some academic departments within SLU may offer scholarships to international students pursuing specific majors or fields of study. These scholarships can be a valuable resource for students with strong academic interests in particular disciplines.

4. Graduate Assistantships: SLU provides graduate assistantship opportunities to international students pursuing postgraduate degrees. These assistantships often include a stipend and may involve teaching, research, or administrative responsibilities.

5. Government and External Scholarships: International students may explore scholarships offered by their home governments, international organizations, or external agencies that support higher education. SLU's financial aid office can provide guidance on external scholarship opportunities.

6. Need-Based Financial Aid: SLU is committed to assisting students with financial need. International students can explore need-based financial aid options and work with the university's financial aid office to determine eligibility.

7. Fellowships: SLU may offer fellowship programs for outstanding graduate students. Fellowships often provide financial support, research opportunities, and professional development experiences.

8. Assistantships: In addition to graduate assistantships, SLU may offer research or teaching assistantships to international students pursuing advanced degrees. These positions can help cover tuition costs and provide valuable academic experience.

9. Study Abroad Scholarships: SLU encourages international experiences, and there are scholarships available for students participating in study abroad programs. These scholarships can help offset the costs of studying in another country.

10. Global Scholarship Exchange Programs: SLU collaborates with partner universities worldwide, enabling students to participate in exchange programs. These programs often include scholarship opportunities that facilitate international academic experiences.

It's important for international students to research and apply for scholarships early in the application process, as deadlines and eligibility criteria may vary.

Saint Louis University (SLU) offers a cutting-edge Master of Science (M.S.) program in Artificial Intelligence (AI) designed to prepare students for promising careers in a rapidly evolving field. As AI continues to transform industries and societies, graduates of this program are well-positioned for diverse and rewarding career opportunities.

1. Machine Learning Engineer: Graduates can pursue roles as machine learning engineers, focusing on developing and implementing AI algorithms and models. They work on projects related to natural language processing, computer vision, and recommendation systems.

2. Data Scientist: Data scientists in AI are responsible for collecting, analyzing, and interpreting large datasets to drive decision-making and solve complex problems. They work in various domains, including healthcare, finance, e-commerce, and more.

3. AI Research Scientist: Those inclined towards research can explore opportunities as AI research scientists. They contribute to the advancement of AI technologies, work on cutting-edge projects, and publish research findings in academic journals and conferences.

4. AI Consultant: AI consultants assist organizations in implementing AI solutions to improve operations, enhance customer experiences, and optimize business processes. They provide valuable insights and strategies for AI adoption.

5. AI Product Manager: Graduates can take on roles as AI product managers, overseeing the development and launch of AI-powered products and services. They bridge the gap between technical teams and business objectives.

6. Robotics Engineer: For those interested in robotics, careers as robotics engineers involve designing, building, and programming robots for various applications, from manufacturing to healthcare and space exploration.

7. AI Ethics and Policy Analyst: As AI ethics becomes increasingly important, graduates can work as analysts or advisors, helping organizations navigate the ethical and regulatory aspects of AI, ensuring responsible and fair AI implementation.

8. AI Entrepreneur: Some graduates may choose to start their own AI-focused companies, developing innovative solutions for specific industries or markets.