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career_directions_for_computer_science_students [2025.08.20 05:57] – Steve Isenbergcareer_directions_for_computer_science_students [2025.08.20 11:22] (current) – Steve Isenberg
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 Much of this information, ironically, was supplied by ChatGPT with mods by steve. \\  Much of this information, ironically, was supplied by ChatGPT with mods by steve. \\ 
 Updated 20aug2025.  Updated 20aug2025. 
 +
 +====Industry Advice====
 +Advice from people currently in the industry, for your information only. 
 +  * The networking and system administration careers are fairly secure. 
 +  * Data analytics and cybersecurity are still growing fields. They will probably adapt and change with new AI tools but should still involve highly trained humans as well. 
 +  * There are likely additional areas for example SAP is growing market share like crazy versus Oracle. 
  
 ====== Career Outlook for Graduate Students in Computer Science in the Age of AI ====== ====== Career Outlook for Graduate Students in Computer Science in the Age of AI ======
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   * *Machine Learning Engineer* – high demand, salaries ~$160k.   * *Machine Learning Engineer* – high demand, salaries ~$160k.
   * *AI Research Scientist* – fastest growth (~26% between 2023–2033).   * *AI Research Scientist* – fastest growth (~26% between 2023–2033).
-  * *Computer Vision & NLP((Natural Language Processing)) Engineer* – widely used across industries.+  * *Computer Vision & NLP((NLP: Natural Language Processing)) Engineer* – widely used across industries.
   * *Algorithm Engineer & Prompt Engineer* – vital for AI systems.   * *Algorithm Engineer & Prompt Engineer* – vital for AI systems.
  
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   * *Quantum Computing* – algorithms, hardware/software integration.   * *Quantum Computing* – algorithms, hardware/software integration.
   * *Bioinformatics / Computational Biology* – multidisciplinary growth.   * *Bioinformatics / Computational Biology* – multidisciplinary growth.
-  * *Cybersecurity, Cloud/Edge Computing, IoT, XR, Blockchain* – expanding specializations.+  * *Cybersecurity, Cloud/Edge Computing, IoT((IoT: Internet of Things)), XR((XR: Extended Reality; an umbrella term that covers VR (Virtual Reality): fully immersive digital environments; AR (Augmented Reality): overlaying digital content onto the real world; and MR (Mixed Reality): blending physical and digital worlds with interactive elements.)), Blockchain* – expanding specializations.
  
 === Leadership & Governance === === Leadership & Governance ===
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 ^ Specialization / Skill                       ^ Why It Helps                                   ^ ^ Specialization / Skill                       ^ Why It Helps                                   ^
-| ML((Machine Learning)) / Deep Learning / MLOps                   | Automation-resilient, high demand, strong pay   |+| ML((ML: Machine Learning)) / Deep Learning / MLOps                   | Automation-resilient, high demand, strong pay   |
 | NLP / Computer Vision / Algorithm Design     | Core AI skills needed across industries         | | NLP / Computer Vision / Algorithm Design     | Core AI skills needed across industries         |
 | Quantum / Bioinformatics / Cybersecurity     | Specialized, growing fields with research value | | Quantum / Bioinformatics / Cybersecurity     | Specialized, growing fields with research value |
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 This is another take from Claude.ai 20aug2025 This is another take from Claude.ai 20aug2025
  
-=====Career Guidance for CS Graduate Students in the AI Era=====+======Career Guidance for CS Graduate Students in the AI Era======
  
 ====Overview=== ====Overview===
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 ===AI Safety and Alignment=== ===AI Safety and Alignment===
 As AI systems become more powerful, there's growing demand for experts who can ensure these systems behave reliably and ethically. This is a rapidly expanding field with significant funding. As AI systems become more powerful, there's growing demand for experts who can ensure these systems behave reliably and ethically. This is a rapidly expanding field with significant funding.
-Human-AI Interaction+ 
 +===Human-AI Interaction==
 Designing interfaces and experiences that effectively combine human intelligence with AI capabilities. This spans UX design, prompt engineering, and building AI-augmented workflows. Designing interfaces and experiences that effectively combine human intelligence with AI capabilities. This spans UX design, prompt engineering, and building AI-augmented workflows.
  
career_directions_for_computer_science_students.1755694649.txt.gz · Last modified: by Steve Isenberg