KSOU KSOU Karnataka State Open University · Karnataka
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KSOU M.Sc Computer Science, Data Science & IT – Course Codes, Labs & Exam Pattern PDF

Updated 4 November 2026 Question Papers 5 min read

Part of KSOU Question Papers: KSOU Previous Year Question Papers: Official Portal & 2026 Session Links

On this page
  1. KSOU Alerts & Notifications
  2. Course codes, credits and question paper PDFs for KSOU M.Sc. Computer Science (MCSDSC), Data Science (MDDSC) & IT (MITDSC) Course Structure
  3. What the official KSOU question papers and prospectuses cover
  4. Official KSOU question paper, prospectus and timetable PDFs
  5. KSOU 80+20 evaluation, passing minimums and online assignment rules
  6. More KSOU programme-wise question papers and course tables
  7. Questions about KSOU M.Sc Computer Science, Data Science & IT
  8. KSOU M.Sc Computer Science, Data Science & IT: official portals and documents

KSOU Alerts & Notifications

Filtered for: M.Sc
Ongoing Events Active notifications & open portals
Upcoming Events (Tentative) Anticipated results, hall tickets & dates
Note: Upcoming dates are tentative based on KSOU academic cycles; click any alert to open the full details page. Synced: 11 Nov 2026, 01:40 UTC

Under the CBCS scheme, KSOU's School of Sciences offers M.Sc. Computer Science (MCSDSC 1.1 to 4.2), M.Sc. Data Science (MDDSC 1.1 to 4.4), and M.Sc. Information Technology (MITDSC 1.1 to 4.4), alongside M.Sc. Chemistry, Physics, Environmental Science, Geography, and Life Sciences. Each semester combines two 4-credit theory cores (100 marks each), two 2-credit practical labs (50 marks each, 60 PCP hours), two 3-credit electives (100 marks each), and one 2-credit Open Elective or Skill Enhancement Course.

Programme scheme: M.Sc. in Computer Science (81 Cr), Data Science (82 Cr) & Information Technology (80 Cr)  |  Fee summary: Admission fee Rs. 32,670 (I Year) and Rs. 32,120 (II Year); exam fee Rs. 2,800 per semester (+Rs. 200 Sem IV Viva)  |  Passing rule: Theory: 8/20 IA and 32/80 Term-End (40/100); Practical Lab: 4/10 IA and 16/40 Term-End (20/50).

Course codes, credits and question paper PDFs for KSOU M.Sc. Computer Science (MCSDSC), Data Science (MDDSC) & IT (MITDSC) Course Structure

The table below lists all 7 official course codes, credit weights, evaluation marks (Term-End + Internal Assessment), and direct PDF links for KSOU M.Sc. Computer Science (MCSDSC), Data Science (MDDSC) & IT (MITDSC) Course Structure.

Course Code Course Title / Details Semester / Year & Credits Marks (Exam + IA) Official Question Paper / Prospectus PDF
MCSDSC 1.1 to 1.4 (M.Sc. CS Sem I) Advanced Data Structures with Algorithms (1.1), OOPs with Java (1.2), DSA Lab (1.3, 50m), Java Lab (1.4, 50m) + Electives MCSDSE 1.5–1.8 + Mobile App Dev-1 (ELMCS-01) M.Sc. CS Sem I (20 Credits) 550 Marks Total M.Sc. Prospectus (p.32)
MCSDSC 2.1 to 2.4 (M.Sc. CS Sem II) Linear Algebra & Statistics (2.1), RDBMS (2.2), Statistics Lab (2.3), RDBMS Lab (2.4) + Web Programming / UML / Computer Networks / Ad hoc Networks (MCSDSE 2.5–2.8) M.Sc. CS Sem II (20 Credits) 550 Marks Total M.Sc. Prospectus (p.32)
MCSDSC 3.1 to 3.4 & 4.1–4.3 (M.Sc. CS Sem III–IV) Data Science with Python (3.1), Machine Learning (3.2), Big-Data Analytics-1 (SEC-1), Artificial Intelligence (4.1), Intro to IoT (4.2), Dissertation/Project (MCSDSE 4.3, 8 Cr, 150m), Blockchain (4.4) M.Sc. CS Sem III & IV (41 Credits) 1,050 Marks Total M.Sc. Prospectus (p.33)
MDDSC 1.1 to 1.4 (M.Sc. Data Science Sem I) Mathematical Foundations (1.1), Programming with Python (1.2), Math Lab (1.3), Python Lab (1.4) + DBMS / Data Structure / OS (MDDSE 1.5–1.7) + Green Computing (ELMIT-01) M.Sc. Data Science Sem I (20 Credits) 550 Marks Total M.Sc. Prospectus (p.30)
MDDSC 2.1 to 4.4 (M.Sc. Data Science Sem II–IV) Foundations of Data Science (2.1), Statistical Inference (2.2), AI (3.1), Big Data Analytics (3.2), R Programming (MDSEC-1), Machine Learning (4.1), Dissertation (4.4, 8 Cr, 150m), Deep Learning (4.5), Tableau (MDSEC-2) M.Sc. Data Science Sem II–IV (62 Credits) 1,650 Marks Total M.Sc. Prospectus (p.30–31)
MITDSC 1.1 to 4.4 (M.Sc. IT Sem I–IV) M.Sc. Information Technology Core, Lab, Elective (MITDSE) and Skill Enhancement Courses across Semesters I to IV M.Sc. IT Sem I–IV (80 Credits) 2,200 Marks Total M.Sc. Prospectus (p.28–29)
MCDSC / MPDSC / MESDSC / MGDSC / MLSDSC M.Sc. Chemistry (p.22–23), Environmental Science (p.24–25), Geography (p.26–27), Physics (p.36–37), and Life Sciences (p.42–43) M.Sc. Science Streams (80 Credits) 2,200 Marks Total M.Sc. Prospectus (p.22–43)

What the official KSOU question papers and prospectuses cover

  • Non-CS vs CS Elective Track in M.Sc. Computer Science: In Semester I, non-CS graduates are advised to opt MCSDSE-1.6 (Advanced C Programming) and MCSDSE-1.8 (Operating System), whereas CS graduates opt MCSDSE-1.5 (Computer Architecture) and MCSDSE-1.7 (Computer Graphics).
  • Compulsory Practical Lab Sessions (60 Hours per Lab): Each 2-credit practical course carries 10 marks Internal Assessment (minimum 4 to pass) and 40 marks Term-End Practical Exam (minimum 16 to pass).

Official KSOU question paper, prospectus and timetable PDFs

Download the 3 official Karnataka State Open University PDF documents mirrored directly from ksoumysuru.ac.in and onlineprogramme.ksoumysuru.ac.in:

Document Category Official KSOU Document Title Pages Direct PDF Download
Prospectus KSOU M.Sc. Programmes Prospectus 2025-26 (All 10 M.Sc. Streams, Course Codes & Fees) 93 Open PDF (93p)
PhD Syllabus KSOU PhD Computer Science Common Entrance Test Syllabus 2025 4 Open PDF (4p)
PhD Syllabus KSOU PhD Information Technology Entrance Test Syllabus 2025 4 Open PDF (4p)

More from KSOU

KSOU 80+20 evaluation, passing minimums and online assignment rules

Every Karnataka State Open University programme follows the evaluation and assignment rules notified by the Registrar (Evaluation), Mukthagangothri, Mysuru – 570006:

  • Term-End Theory Examination (80 marks, 3 hours): Conducted at notified KSOU examination centres across Karnataka. Non-CBCS UG (B.A./B.Com) requires at least 28 out of 80 in theory and 35 out of 100 aggregate; CBCS UG/PG programmes require at least 32 out of 80 in theory (8 out of 20 in IA for PG/M.Sc/MCA) and 40 out of 100 aggregate.
  • Online Internal Assessment Assignment (20 marks): Handwritten assignments must be signed and dated by the candidate on every page, scanned as a single PDF, and uploaded on www.ksouonlinestudy.com or the KSOU Academic Platform Android app (helpline: 9873037405).
  • 2-Credit Open Elective & SEC Papers (50 marks, 1.5 hours): Evaluated on a 40-mark Term-End Examination (minimum 16 to pass) plus 10-mark Internal Assessment (minimum 4 to pass, 20 out of 50 aggregate).
  • Maximum Completion Period (N+N Rule): Under UGC-DEB regulations, students may clear backlogs within N+N years (6 years for 3-year UG degrees, 4 years for 2-year PG degrees, and 3 years for 1-year B.Lib.I.Sc/M.Lib.I.Sc degrees).

More KSOU programme-wise question papers and course tables

Related KSOU examination and admission pages

Questions about KSOU M.Sc Computer Science, Data Science & IT

Where can I download official KSOU M.Sc. Computer Science (MCSDSC), Data Science (MDDSC) & IT (MITDSC) Course Structure PDFs?

All official KSOU question paper compilations and programme prospectuses for MCSDSC 1.1 to 1.4 (M.Sc. CS Sem I), MCSDSC 2.1 to 2.4 (M.Sc. CS Sem II), MCSDSC 3.1 to 3.4 & 4.1–4.3 (M.Sc. CS Sem III–IV), MDDSC 1.1 to 1.4 (M.Sc. Data Science Sem I), MDDSC 2.1 to 4.4 (M.Sc. Data Science Sem II–IV) are linked directly in the course and document tables on this page, and registered learners can also access them inside the SLM Repository on www.ksouonlinestudy.com.

What are the passing marks for KSOU M.Sc. Computer Science (MCSDSC), Data Science (MDDSC) & IT (MITDSC) Course Structure at KSOU?

Theory: 8/20 IA and 32/80 Term-End (40/100); Practical Lab: 4/10 IA and 16/40 Term-End (20/50). Each 100-mark paper combines an 80-mark 3-hour Term-End Examination with a 20-mark online Internal Assessment assignment.

How do I upload my handwritten KSOU assignment PDF online?

Log in to www.ksouonlinestudy.com or the KSOU Academic Platform app using your registered mobile number and OTP, open the Assignments tab, write your answers by hand with your signature and date on every page, scan into one PDF, and click Submit Assignment (helpline: 9873037405).

KSOU M.Sc Computer Science, Data Science & IT: official portals and documents

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