Data ScienceSemester 4-2 syllabus
Review the course structure, credits and unit-wise topics for fourth year, semester two.
- Regulation
- R23
- Semester
- 4-2
- Coverage
- 1 subject sections
Jump to a subject1 sections
Check this guide against JNTUK documents
This page is a student-friendly study guide. Use the official university documents below as the final authority for course structure, revisions and examination rules.
- Institution
- JNTUK
- Regulation
- R23
- Branch
- Data Science
- Links checked
The final semester is dedicated entirely to a full-time internship or project placement, giving students a capstone opportunity to apply their data science training in an industry or research setting under faculty and/or organizational supervision. Students must also complete at least one MOOC course during their program to satisfy the university’s mandatory-credit requirement.
Subjects
Full Semester Internship / Project Work
- A single continuous engagement spanning the entire semester, assessed through progress reviews, a final report, and a viva-style evaluation
- Expected to reflect substantial applied work in a data-science-relevant domain (industry placement, research project, or product build)
- Total: 24 practical hours per week, 12 credits — the entire semester’s credit load
Note: JNTUK’s R23 regulations require every student to complete at least one MOOC (3-credit-equivalent) course across the program; this is typically fulfilled by the end of this semester. Minor-in-Data-Science and Honors tracks (e.g., Agentic AI, Quantum Machine Learning, Real-Time Data Processing) run as optional add-on credit pools alongside the core curriculum for students who opt in earlier in the program.