Msbte Syllabus of Artificial Intelligence (AI)

The MSBTE has introduced the k-scheme Msbte Syllabus of Artificial Intelligence 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 Artificial Intelligence branch under the new K Scheme has a total of 6 semesters. The subjects covered in each semester are as follows:

Artificial Intelligence First Semester Syllabus (AI1K)

To download the Msbte Syllabus of Artificial Intelligence First Semester Syllabus in PDF Format, just click below

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

Artificial Intelligence 2nd Semester Syllabus (AI2K)

To download the Msbte k-scheme Syllabus of Artificial Intelligence Second Semester Syllabus in PDF Format, just click below

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

Artificial Intelligence 3rd Semester Syllabus (AI3K)

To download the Msbte k-scheme Syllabus of Artificial Intelligence Third Semester Syllabus in PDF Format, just click below

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

Artificial Intelligence 4th Semester Syllabus (AI4K)

To Download the Msbte Syllabus of Artificial Intelligence Fourth Semester Syllabus in PDF Format, just click below

NO.Subject
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)
7UI/UX Design Syllabus (UID-314005)

AI 5th Semester Syllabus (AI5K)

  • Environmental Studies (EST)
  • Operating Systems (OSY)
  • Advanced Java Programming (AJP)
  • Software Testing (STE)
  • Industrial Training (ITR)
  • Capstone Project Planning (CPP)

AI 6th Semester Syllabus (AI6K)

  • Entrepreneurship Development (EDE)
  • Capstone Project Execution Syllabus (CPE)
  • Management (MAN)
  • Mobile Application Development Syllabus (MAD)
  • Emerging Trends in Computer and Information Technology (ETI)
  • Web Based Application Development using PHP (WBP)

In addition to the core subjects, students in the Msbte Artificial Intelligence 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 Msbte Syllabus of Artificial Intelligence 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.