Program Introduction

The Artificial Intelligence & Data Science program at EU’s School of Information & Computer Science aims to cultivate data scientists and AI engineers for the AI era through a blend of machine learning, deep learning, and big data analytics. Emphasizing algorithm development, data modeling, and AI ethics, the curriculum equips students with foundational AI skills and cross-disciplinary innovation capabilities. Practical platforms such as industry partnerships, hackathons, and real-project development further empower students to become professionals with both technical expertise and creative vision. Explore Our Programs 1. Undergraduate Program (BAIDS) Duration: 4-year full-time Core Courses: Programming Fundamentals & Algorithm Design (Python/R) Machine Learning & Data Mining Deep Learning & Neural Networks Big Data Technology Architecture (Hadoop/Spark) AI Ethics & Data Privacy Features: Practice-Oriented: Develop intelligent recommendation systems through “AI Practicum Projects” with Google and IBM. Tech Integration: Mandatory deep learning courses using TensorFlow, PyTorch, and other frameworks. Hackathons: Annual “Global AI Hackathon” focusing on medical diagnosis, autonomous driving, and other themes. 2. Master’s Programs MBA (AI & Data Science Concentration) Duration: 1-2 years (full-time/part-time) Tracks: Deep Learning & Computer Vision, Natural Language Processing (NLP), Business Data Analytics, AI Strategic Management Highlights: Global Case Competitions: Jointly organized with Carnegie Mellon University and Stanford University. Industry Mentorship: Pairing with executives from OpenAI, NVIDIA, and other top firms. MS in AI & Data Science (STEM) Duration: 12 months Skills: Generative AI model optimization, large-scale data cluster management, AI explainability (XAI), real-time stream data analysis Partners: AWS, Meta, Tesla, offering practical projects and AWS/GCP certification support. 3. Doctoral Program (Ph.D. in AI & Data Science) Duration: 4-6 years Research Areas: Reinforcement learning, neurosymbolic systems, AI ethics & governance, autonomous driving algorithms Strengths: Cutting-Edge Research: Collaborating with MIT and UC Berkeley on interdisciplinary projects focused on quantum AI and federated learning. Academic Resources: Hosting “Future of AI” seminars with Nature Machine Intelligence journal editors and Turing Award laureates. Spotlight on Centers 1. AI Ethics & Policy Research Center (AEPRC) Mission: Promote responsible AI development and establish data privacy and algorithmic fairness standards. Achievements: Publishing the Generative AI Risk Assessment Framework, referenced by the U.S. Federal Trade Commission (FTC). Designing an “AI Ethics Certification System” with the World Economic Forum (WEF) to regulate industry practices. 2. Big Data & High-Performance Computing Center (BD-HPC) Focus: Distributed data storage, real-time stream computing, GPU-accelerated algorithm development. Activities: Building an “AI Supercomputing Cluster” with NVIDIA to support complex neural network training. Hosting the Global Big Data Challenge focused on climate modeling and financial risk prediction. 3. Natural Language Processing Lab (NLP Lab) Key Initiatives: Multilingual AI Translation System: Student teams develop low-resource language translation models funded by UNESCO. Conversational AI Optimization: Collaborating with Amazon Alexa to enhance voice assistant semantic understanding. Additional Features AI Competition Support: Funding and mentorship for students participating in Kaggle competitions and Google AI Challenges. Dual Degrees: Collaborations with the School of Business and School of Law for “Data Science + Business Analytics” and “AI Ethics + Law” programs. Internship Guarantee: 100% of undergraduate students secure at least one industry internship, with partners in AI and data science hubs like Silicon Valley, New York, and Boston. Join EU’s School of Information & Computer Science and lead the future of AI and data science!