Data Analyst
Analyze complex data sets to drive business insights

A snapshot of roles graduates pursue. Specific paths added soon.
Analyze complex data sets to drive business insights
Maintain and optimize large-scale computing environments
Develop robust and scalable software solutions
Contribute to cutting-edge artificial intelligence research
A real student rhythm — classes, projects, labs, and the spaces in between.
AI theory, machine learning, and data science fundamentals
Hands-on programming and neural network model-building
Software engineering or specialized electives, building toward your thesis
Discussions with friends
Machine Learning, Neural Networks, Big Data Analytics, and NLP are part of the required curriculum
Work at Startup Accelerator C10, building, accelerating, and pitching actual startup ideas, not just coursework about entrepreneurship
Hands-on building of complex software systems and AI solutions, not lectures about concepts
Deep CS fundamentals plus AI specialization, not AI bolted onto a generic CS degree
Academic Writing, plus Humanities/Social Science coursework (History, Philosophy, Psychology, Sociology, Political Science)
Math, Programming, Algorithms & Data Structures, AI, Machine Learning, Data Science, Neural Networks, Big Data Analytics, NLP
Software Engineering [unconfirmed mandatory/elective status — see flag above], Programming Languages, Web Penetration Testing, IT Project Management, Digital Marketing
Your capstone research project
Programming Basics I & II, Calculus I & II, Discrete Mathematics, Computer Architecture.
Object-Oriented Programming, Operating Systems, Computer Security, Database Systems, Networks, Software Engineering
Machine Learning, Artificial Intelligence I & II, Data Science, Neural Networks, Big Data Analytics, Natural Language Processing
Continued advanced coursework, plus your Bachelor's Thesis

Coffee, friends, first class

Libraries that double as hangouts

Your people, found

Big windows, real independence

Mountains, sea, all close
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