The Simon Business School at the University of Rochester launched the all-new MS in Artificial Intelligence in Business program in 2024, designed to cultivate professionals with dual capabilities in AI technology and business strategy. This 14-month program integrates technical courses, business insights, and hands-on projects, catering to students who wish to thrive in an AI-driven business environment. In the following sections, we will elaborate on program introduction, curriculum, admissions requirements, and career prospects. For more details and questions about graduate applications, you can also scan the QR code below for a one-on-one consultation.
I. Program Introduction
The MS in AI in Business program is designed for students aspiring to work at the intersection of AI and business, emphasizing the application of artificial intelligence technologies to real-world business scenarios. The curriculum covers cutting-edge technologies such as machine learning, data analytics, and generative AI, complemented by training in strategic communication and leadership, enabling students to create value in a dynamic business environment.
This program is designated as a STEM program by the U.S. Department of Homeland Security, allowing international students to apply for up to 36 months of OPT (Optional Practical Training) after graduation, providing greater opportunities for U.S. employment.
Official Link: https://simon.rochester.edu/
II. Curriculum
The program requires the completion of 34.5 credits, with the following curriculum structure:
Core Courses (10 courses, 2.5 credits each unless otherwise noted)
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CIS 433: AI and Deep Learning
Introduces AI fundamentals, neural network architectures, and generative AI, with hands-on practice using TensorFlow and Keras. -
CIS 455: AI Business Project (3 credits)
Student teams complete an AI project in collaboration with a company, applying learned knowledge to solve real-world problems. -
CIS 467: Data Management and Warehousing
Teaches database design, SQL programming, and data warehousing concepts to support AI and analytics work. -
GBA 424: Analytics Design and Application
Develops the ability to solve complex business problems through case studies, using tools such as SQL, Python, and Tableau. -
GBA 462P: Core Statistics Using Python
Covers descriptive statistics, hypothesis testing, regression analysis, etc., emphasizing data-driven decision making. -
GBA 463: Economics and Market Strategy
Introduces consumer choice, demand curves, competitive effects, and other economic fundamentals, as well as strategic concepts like market segmentation and positioning. -
GBA 464: Programming for Analytics
Teaches Python programming fundamentals, applied to data management and visualization for solving marketing and business analytics problems. -
GBA 478: AI and Business
Explores the application of generative AI in business, designing AI tools to create business value, and discusses related ethical and philosophical issues.
Elective Courses (Choose any 3)
Students can choose elective courses based on their interests, covering areas such as advanced business modeling, machine learning, social media analytics, forecasting and causal analysis, among others.
III. Admissions Requirements
Basic requirements for applying to the MS in AI in Business program are as follows:
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Degree Background: Possess a recognized bachelor's degree, any major acceptable, but some proficiency in mathematics and analytics is required.
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GPA: Average undergraduate GPA of 3.3.
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English Language Proficiency: Non-native English speakers must submit TOEFL (suggested minimum 100), IELTS (suggested minimum 7.5), or Duolingo (suggested minimum 125) scores.
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GRE/GMAT Scores: Optional; if submitted, they will be considered in the evaluation.
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Application Materials:
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Personal Statement (250–500 words)
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Personal History Statement (250–500 words)
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Video Interview (in lieu of a formal interview)
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Resume (recommended no more than two pages)
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Official Transcripts
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Two Letters of Recommendation
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Application Deadlines:
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Round 1: October 15
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Round 2: January 5
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Round 3: February 15
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Round 4: March 31
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Round 5: May 1
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Early application is recommended to increase the chance of receiving scholarships.
IV. Career Prospects
Although the MS in AI in Business program is newly established, the Benet Career Management Center at Simon Business School provides comprehensive career support, including resume guidance, mock interviews, career planning, etc.
Graduates can seek employment opportunities in areas such as:
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AI Product Manager
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Data Scientist
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Business Analyst
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Marketing Strategist
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Technical Consultant
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Operations Optimization Specialist
According to 2023 data, 96% of hiring companies stated that candidates with AI skills would have a competitive advantage. It is projected that by 2028, the global AI market will grow at an annual rate of 40%, reaching a market size of 1 trillion USD.
Furthermore, as a STEM program, international graduates can apply for up to 36 months of OPT, providing more opportunities for U.S. employment.
In the 25fall application season, CheersYou（清柚教育） students have also received offers for this program. If you would like to learn about application timelines and backgrounds, more admission cases, or have other questions related to graduate study abroad, you can also add the contact information of a CheersYou（清柚教育） consultant below for detailed information.
