K-scheme Syllabus of Data Science

The MSBTE has introduced the K-scheme Syllabus of Data Science Course. The scheme has a revised Msbte k-scheme Syllabus that is more industry-oriented and aligned with the latest trends in technology. The Msbte Syllabus of the Data Science branch under the new K Scheme has a total of 6 semesters. The subjects covered in each semester are as follows:

Data Science First Semester Syllabus (DS1K)

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no.Subject
1Fundamentals of ICT (ICT-311001)
2Engineering Workshop (WPC-311002)
3Yoga and Meditation (YAM-311003)
4Engineering Graphics (EPG-311008)
5Basic Mathematics (BMS-311302)
6English (ENG-311303)
7Basic Science (BSC-311305)

Data Science 2nd Semester Syllabus (DS2K)

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no.Subject
1Linux Basic (BLP-312001)
2Professional Communication (PCO-312002)
3Social and Life Skills (SFS-312003)
4Web Page Designing (WPD-312004)
5Applied Mathematics (AMS-312301)
6Basic Electrical and Electronic (BEE-312302)
7Programming in ‘C’ (PIC-312303)

Data Science 3rd Semester Syllabus (DS3K)

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no.Subject
1Database Management System (DMS-313302)
2Digital Techniques (DTE-313303)
3Essence of the Indian Constitution (EIC-313002)
4Data Structure using Python (DSP-313306)
5Statistical Modelling for Machine Learning (SML-313307)
6Data Story Telling and Visualization (DST-313004)

Data Science 4th Semester Syllabus (DS4K)

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NO.Subject
1UI/UX Design (UID-314005)
2Environmental Education and Sustainability (EES-314301)
3Java programming (JPR-314317)
4Data Communication and Computer Network (DCN-314318)
5Mathematics for Machine Learning (MML-314320)
6Microprocessor Programming (MIC-314321)

Data Science 5th Semester Syllabus (DS5K)

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  • Environmental Studies (EST)
  • Operating Systems (OSY)
  • Client Side Scripting Language (CSS)
  • Fundamentals of AI & ML Algorithms (FAM)
  • . Advanced Database Management Systems (ADM)
  • Cloud Computing for Data Science (CCD)
  • Industrial Training (ITR)
  • Capstone Project Planning (CPP)

Data Science 6th Semester Syllabus (DS6K)

To Download the Msbte K-scheme Syllabus of Data Science Sixth Semester Syllabus in PDF Format just click below

  • Entrepreneurship Development (EDE)
  • Capstone Project Execution Syllabus (CPE)
  • Management (MAN)
  • Advanced Algorithms in AI-ML (AAM)
  • Mobile Application Development (MAD)
  • Emerging Trends in Computer and Information Technology (ETI)
  • Big Data Analytics (ETI)
  • Network and Information Security (NIS)
  • Data Warehousing with Mining Techniques (DWM)

In addition to the core subjects, students in the Msbte Data Science Engineering branch will also have the option to choose electives from a list of offered subjects. The electives will vary depending on the college or institute.

If you are interested in pursuing a career in Data Science engineering, the MSBTE Diploma New K Scheme is a good option. The course will provide you with the knowledge and skills you need to succeed in this rapidly growing field.