Artificial Intelligence
Open to Full-Time MSBA and MSMA Students
(Internship and Non-Internship Track)
As AI continues to revolutionize the analytics industry, we understand the critical need to equip our MS Business Analytics and Marketing Analytics students with the latest, cutting-edge skills. The Advanced Certificate of Achievement signifies to prospective employers a higher level of proficiency in AI. By obtaining this advanced certification, students will be exceptionally well-prepared to thrive in today's dynamic and ever-evolving business landscape.
Specialize in AI.
This Advanced Certificate of Achievement represents a technical competence in AI for business students. To earn it, an MS Business Analytics or Marketing Analytics student must complete 7.5 credits.
Students are required to take both of the following two courses (each worth 2.5 credits):
- CIS 433: AI and Deep Learning
This course introduces the field of AI to business students with a particular emphasis on deep learning which is driving the current AI revolution. The course consists of three modules. The first module establishes the foundation of AI and deep learning. The second module introduces major neural network architectures widely used in practice. The third module touches on generative AI which is particularly promising in recent years. The course emphasizes experiential learning and contains many hands-on projects using TensorFlow broadly and Keras in particular.
- GBA 478: AI and Business
GBA478 covers the application of generative Al technologies across diverse business contexts. The course will help you understand how to integrate Generative Al into today's business workflows, providing frameworks to decide when and how to use it effectively. You'll gain hands-on experience designing Generative Al tools to create business value and programming basic LLM-driven applications in Python. Finally, the course will ask you to become conversant with the big questions about Generative Al, to debate the moral, philosophical, and ethical challenges inherent in these systems and technologies.
Students also choose an additional course from below:
- CIS 431 Big Data
This course is designed to provide students with concepts and skills in managing data using traditional and cloud based systems. The course covers theory of database systems, data manipulation techniques, data integration and cleaning, and working with modern and advanced data architectures. The class covers both theory and hands on activities using Microsoft Access, SQL, Tableau and R. Microsoft Access, SQL, Tableau and R may be used extensively in class, for assignments and exams.
- CIS 432: Machine Learning for Business Analytics
The course introduces students to advanced machine learning algorithms, techniques, and the practical aspects of applying them for solving prediction problems that arise in various important business contexts.
Benefits
• Receive a Certificate of Achievement in AI
• Class credits count toward certificate and degree
• Optional benefit with no additional cost or time to complete*
• Maintains STEM designation
• Signals expertise and career focus to corporate recruiters
*Students can only count credits from a master’s degree toward one advanced certificate of achievement. More than one advanced certificate during a master’s degree requires additional credits; accordingly, the student may incur additional costs.
Generative AI at Simon
At Simon, we provide our students with state-of-the-art training in generative AI, shaping leaders for the fast-paced business landscape of today. We're leading the way in integrating AI throughout our curriculum and extracurricular activities, reaffirming our status as a pioneer business education.