Artificial Intelligence and Data Science
Combined AI + data curriculum — hireability still depends on SQL, software, and evaluation discipline.
Where this leads
The confusion, addressed honestly
AIDS branding makes students think the hybrid title itself is differentiation. Hiring still asks: can you write SQL, ship a small service or notebook pipeline, and evaluate a model or analysis without fooling yourself? "Built an AI project" without data quality notes, baselines, or failure cases is noise. Lean into either analytics engineering or applied ML with one sharp artifact — not five shallow demos. The degree opens the conversation; evidence finishes it.
Role paths
AI Engineer
Builds AI features — prompts, retrieval, evaluation, and safe product integration.
Analyst Consultant
Structured problem-solving for clients — research, models, and recommendations.
Analytics Engineer
Builds trusted analytics tables and metrics layers for the business.
Associate Sales Engineer
Bridges product and buyers — demos, technical Q&A, and solution mapping.
Associate Scrum Master
Supports agile ceremonies, blockers, and delivery rhythm for engineering teams.
Computer Vision Engineer
Builds systems that understand images/video for products or industrial use.
Content Engineer
Builds structured learning or knowledge content for technical audiences.
Data Analyst
Turns raw data into dashboards, insights, and decisions stakeholders can use.
Data Engineer
Builds reliable pipelines that move and transform data for analytics and ML.
Data Scientist
Frames problems, builds models, and communicates uncertainty to stakeholders.
Graduate Engineer Trainee
Campus-hire rotational or team-assigned role for fresh graduates learning production systems.
Growth Engineer
Ships product experiments and instrumentation that move growth metrics.
Junior Database Administrator
Helps keep databases available, backed up, and reasonably performant.
Machine Learning Engineer
Productionizes models — training pipelines, evaluation, and serving.
NLP Engineer
Works on text/speech understanding and generation systems.
Product Analyst
Measures product funnels, experiments, and feature impact with data.
Project Coordinator
Tracks timelines, risks, and dependencies so engineering delivery stays visible.
Prompt Engineer
Designs prompts, evals, and workflows that make LLM features reliable.
Research Intern
Supports experiments, literature, and prototypes in academic or industry labs.
Robotics Engineer
Builds robots spanning mechanics, electronics, and autonomy software.
Technical Recruiter Associate
Sources and screens engineering talent using technical judgment and outreach.
Map your own path
We'll pre-fill your starting point as a Artificial Intelligence and Data Science student.