🧭 Welcome to the DSC Student Hub 20260427T204326Z 20260501T221839Z David Nagy
β€Š

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UC San Diego – Department of Data Science (DSC Program)

This notebook is the single source of truth for:
  • Course planning
  • Degree requirements
  • Career prep
  • Research opportunities
  • Department announcements
Who should use this:
  • Incoming DSC majors
  • Current students (all years)
  • Faculty & advisors
How to use:
  • Start with β€œYour Path by Year”
  • Bookmark your current quarter
  • Check Announcements weekly

Index

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bGk+PGxpPjxkaXY+Q3VycmVudCBzdHVkZW50cyAoYWxsIHllYXJzKSA8L2Rpdj48L2xpPjxsaT48ZGl2PkZhY3VsdHkgJmFtcDsgYWR2aXNvcnMgPC9kaXY+PC9saT48L3VsPjxkaXY+PGI+SG93IHRvIHVzZTo8L2I+PC9kaXY+PHVsPjxsaT48ZGl2PlN0YXJ0IHdpdGggPGk+4oCcWW91ciBQYXRoIGJ5IFllYXLigJ08L2k+IDwvZGl2Pjwv bGk+PGxpPjxkaXY+Qm9va21hcmsgeW91ciBjdXJyZW50IHF1YXJ0ZXIgPC9kaXY+PC9saT48L3VsPjxkaXY+Q2hlY2sgPGk+QW5ub3VuY2VtZW50czwvaT4gd2Vla2x5PC9kaXY+PC9lbi1ub3RlPiAgICAgIF1dPgogICAgPC9jb250ZW50PgogIDwvbm90ZT4KPC9lbi1leHBvcnQ+Cg== application/octet-stream Undergraduate Student Resource & Success Hub Template.enex en-cache://tokenKey%3D%22AuthToken%3AUser%3A11%22+71fd1d57-e539-01f3-0e1a-3990ac33bc70+6dde666ddce56c52f524d3fa79765670+https%3A%2F%2Fpublic.www.evernote.com%2Fresources%2Fs1%2Fdf519583-596d-87b6-1c41-e63b76302f7b DSC Template Summary 20260427T205552Z 20260501T221633Z David Nagy
β€Š
πŸ’₯ Why This Converts (Strategic Insight)
This version hits pain points that are painfully real for departments like UCSD:
1. Students are lost
  • Course planning confusion
  • No centralized guidance

    πŸ‘‰ This notebook becomes the student operating system
2. Departments are fragmented
  • Info spread across:
    • PDFs
    • old web pages
    • advisor emails

      πŸ‘‰ This becomes the single source of truth
3. Career prep is weak
  • Students don’t know when or how to apply

    πŸ‘‰ This adds high-value career outcome content
4. Websites are static
  • Hard to update
  • Poor engagement

    πŸ‘‰ This becomes a living, evolving resource
Β 

 ]]> πŸ“‚ SECTION 8: πŸ“’ Announcements & Updates 20260427T205507Z 20260427T205553Z David Nagy
β€Š
πŸ“„ Weekly Department Updates
  • Course changes
  • New opportunities
  • Deadlines
πŸ“„ Internship Alerts Feed
  • Real-time updates
  • Curated by department
πŸ“„ Notebook Release Notes
  • β€œNew sections added”
  • β€œUpdated course guides”
]]> πŸ“‚ SECTION 7: 🀝 Community & Student Life 20260427T205428Z 20260427T205508Z David Nagy
β€Š

πŸ“„ DSC Student Organizations
  • Data Science Student Society
  • AI Club
  • Women in Data
πŸ“„ Student Project Showcase
  • Top capstone projects
  • GitHub links
πŸ“„ Peer Advice Wall
  • β€œWhat I wish I knew as a freshman”
  • Real student quotes

 ]]> πŸ“‚ SECTION 6: πŸ”¬ Research & Opportunities 20260427T205347Z 20260427T205429Z David Nagy
β€Š
πŸ“„ Active Research Labs
  • Lab descriptions
  • How to apply
  • Faculty contacts
πŸ“„ How to Get Into Research
  • Email templates to professors
  • What professors actually look for
πŸ“„ Competitions & Hackathons
  • Kaggle competitions
  • University events

]]> πŸ“‚ SECTION 5: πŸš€ Careers & Internships 20260427T205244Z 20260427T205348Z David Nagy
β€Š
πŸ“„ Internship Playbook
  • When to apply (timeline by year)
  • Where to apply (curated list)
  • Resume tips specific to DSC
πŸ“„ Resume & Portfolio Templates
  • Data science resume examples
  • GitHub portfolio checklist
πŸ“„ Interview Prep Hub
  • SQL questions
  • Data case studies
  • Behavioral questions
πŸ“„ Alumni Outcomes
  • Where graduates work
  • Roles + salaries (aggregated insights)

 ]]> πŸ“‚ SECTION 2: πŸ“˜Current Quarter (Spring 2026) 20260427T204733Z 20260427T205217Z David Nagy
β€Š
πŸ“„Spring 2026 – Important Dates
  • Add/drop deadlines
  • Midterms / finals
  • Advising windows
πŸ“„ Active Courses Hub
Each course links to its own structured note:
πŸ“„ DSC 100 – Data Science in Practice
  • Lecture summaries (weekly)
  • Key concepts cheat sheet
  • Assignment breakdowns
  • Past student tips
πŸ“„ DSC 102 – Systems for Scalable Analytics
  • Architecture diagrams
  • Key terms
  • Exam prep notes
πŸ“„ Weekly Study Plan Template
  • Suggested weekly cadence
  • Time-blocking example

 ]]> πŸ“‚ SECTION 1: πŸŽ“Degree Roadmap & Planning 20260427T204448Z 20260427T205120Z David Nagy
β€Š
πŸ“„ DSC Major Requirements (2026 Catalog)
  • Lower-division requirements
  • Upper-division core
  • Electives list (with descriptions)
  • GPA + graduation requirements
πŸ“„ 4-Year Sample Plan (Fall Start)
Year-by-year breakdown:
  • Year 1: Math + Intro Programming
  • Year 2: Data Structures + Probability
  • Year 3: ML + Systems
  • Year 4: Capstone + electives
Includes:
  • β€œWhat to prioritize each year”
  • Common pitfalls (e.g., course bottlenecks)
πŸ“„ Course Sequencing Guide (CRITICAL)
  • Which classes unlock others
  • β€œDo NOT take before X” warnings
  • Visual dependency map
πŸ“„ Quarterly Enrollment Strategy
  • How to get into impacted courses
  • Waitlist strategies
  • Best professors (student-sourced insights)

 ]]> πŸ“‚ SECTION 4: πŸ§‘β€πŸ« Advising & Admin 20260427T205006Z 20260427T205112Z David Nagy
β€Š
πŸ“„ Meet Your Advisors
  • Advisor list + specialties
  • Booking links
πŸ“„ Advising FAQ
  • β€œCan I graduate early?”
  • β€œWhat if I fail a class?”
  • β€œHow do I switch tracks?”
πŸ“„ Petition & Forms Guide
  • Easy explanations of:
    • Course substitutions
    • Major changes
    • Graduation applications

]]> πŸ“‚ SECTION 3: 🧠 Study Resources in DSC 20260427T204903Z 20260427T205006Z David Nagy
β€Š
πŸ“„ β€œHow to Succeed in DSC” (Top Student Playbook)
  • How past top students approached courses
  • Study systems that actually worked
  • Mistakes to avoid
πŸ“„ Exam Prep Library
  • Practice problems
  • Past exam patterns
  • β€œWhat professors tend to test”
πŸ“„ Coding & Tools Quickstart
  • Python setup guide
  • Git/GitHub tutorial
  • Jupyter notebook tips
πŸ“„ Math Refresher Hub
  • Linear algebra essentials
  • Probability cheat sheets
  • Calculus review
]]>