MS in Business Analytics & Artificial Intelligence
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- Ms In Business Analytics & Artificial Intelligence
MS IN BUSINESS ANALYTICS & ARTIFICIAL INTELLIGENCE
The MS in Business Analytics & Artificial Intelligence at IENYC has been designed to help you leverage the power of data and AI to become strategic and sustainably minded leaders. The program’s highly practical curriculum is built around four pillars designed to give you a comprehensive and up-to-date skill set that can be applied to any sector; Mastering data analysis & AI, Strategic decision-making for business, Hands-on learning & industry engagement, and Sustainability & ethics at the core.
The program begins with the fundamentals of business analytics and AI and progresses to advanced topics of deep learning, AI compliance and risk management. You’ll also pick one of three specialization tracks to further align your learning with your personal ambitions: Marketing & Consumer Analytics; Financial Analytics & FinTech; or Supply Chain & Operations Analytics.
Study Plan
- OVERVIEW
- TERMS
- 1st termFoundations of Business Analytics & AI
- 2ND termAdvanced Analytics & AI for Business
- 3rd termAI-Driven Decision-Making & Industry Applications
- ELECTIVES
- OVERVIEW
- TERMS
Curriculum Highlights
DISCOVER The BluePrint
Frequently asked questions
What specific AI and business analytics technologies are included in the curriculum?
This MS in Business Analytics & Artificial Intelligence is a comprehensive, well-rounded program, providing hands-on proficiency in AI technologies like Python, SQL, machine learning and predictive analytics, along with data-focused tools like Tableau, Power BI, Hadoop and Spark.
How does the program integrate AI-driven data science techniques with traditional business intelligence?
From finance to marketing and broader operations, artificial intelligence is transforming how business intelligence works. In this program, students master the art of turning data insights into strategic action through AI-driven techniques like analytics, visualization and data storytelling, driving sustainable growth in organizations.
Are generative AI and its impact on business analytics covered in the coursework?
More companies are incorporating generative AI into their processes, increasing demand for professionals who can leverage its full capabilities. This program prepares students to make the most of GenAI, from automation to advanced analysis and data storytelling for more efficient decision-making.
How are AI tools for financial analytics and business growth applied in the program?
More companies are incorporating generative AI into their processes, increasing demand for professionals who can leverage its full capabilities. This program prepares students to make the most of GenAI, from automation to advanced analysis and data storytelling for more efficient decision-making
Does the curriculum address concerns about AI replacing business analytics professionals?
This program explores how AI and analytics are shaping the evolution of business. At the same time, it’s designed to future-proof professionals against a changing landscape, diving into critical topics like strategy, market intelligence, data-based decision-making, digital transformation and ethical AI leadership to maximize students’ competitive advantage across industries.