Data and AI are shaping decisions in every sector of the economy, from business and government to media and communications to academia. As AI tools become more powerful, employers need graduates who can not only build models and analyze data, but can also ask the right questions, understand context, recognize and address ethical concerns of bias, fairness, and privacy; and communicate insights clearly to different audiences.
A distinctive feature of the program is its combination of technical depth and domain expertise. Students complete core coursework in data science and AI and 18–21 credits in a chosen concentration area, allowing them to apply data and AI methods within a specific field.
Zicklin’s interdisciplinary Bachelor of Science in Applied Data Science and Artificial Intelligence (ADSAI) prepares you to do more than write code and build models; it teaches you to solve real problems responsibly within the disciplines where these problems live.
Learn how the BS in Applied Data Science and AI prepares you for success in today’s AI-driven workplace.
Program Learning Goals
Data Wrangling, Manipulation, and Management Skills
You will analyze and compare data collection, cleaning, and management strategies to determine the most appropriate tools and techniques for specific domain requirements and data characteristics.
Quantitative/ Statistical/Machine Learning/AI Skills
You will design and develop analytical frameworks that synthesize statistical and machine learning techniques for analysis, feature engineering, and model validation to address domain-specific challenges.
Ethical Awareness
You will formulate and implement data-driven solutions that proactively address algorithmic bias, ensure fairness, accountability, transparency in data handling, and meet ethical standards appropriate to the application context.
Professional Communication
You will communicate data insights clearly and effectively, both orally and in writing, making complex information accessible and actionable for diverse audiences.
Problem Solving in a Discipline
You will assess trade-offs among data science methods based on accuracy, interpretability, and ethical considerations to determine the most appropriate approaches for discipline-specific challenges.
Qiang Gao, PhD
Academic Director, BS ADSAI
Associate Professor
Paul H. Chook Department of Information Systems and Statistics
Zicklin School of Business
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Data Wrangling, Manipulation, and Management Skills
|
You will analyze and compare data collection, cleaning, and management strategies to determine the most appropriate tools and techniques for specific domain requirements and data characteristics.
|
|
Quantitative/ Statistical/Machine Learning/AI Skills |
You will design and develop analytical frameworks that synthesize statistical and machine learning techniques for analysis, feature engineering, and model validation to address domain-specific challenges. |
|
Ethical Awareness |
You will formulate and implement data-driven solutions that proactively address algorithmic bias, ensure fairness, accountability, transparency in data handling, and meet ethical standards appropriate to the application context. |
|
Professional Communication |
You will communicate data insights clearly and effectively, both orally and in writing, making complex information accessible and actionable for diverse audiences. |
|
Problem Solving in a Discipline |
You will assess trade-offs among data science methods based on accuracy, interpretability, and ethical considerations to determine the most appropriate approaches for discipline-specific challenges. |
|
Qiang Gao, PhD
|