MSBTE K-Scheme Syllabus for AI And Machine Learning Diploma

MSBTE K-Scheme Syllabus for AI And Machine Learning Diploma

 

The Maharashtra State Board of Technical Education (MSBTE) has introduced the K-Scheme Syllabus for AI And Machine Learning Diploma Course. This revised MSBTE K-Scheme AI And Machine Learning Syllabus is designed to be industry-focused and aligned with latest technology trends to enhance student employability. The AI And Machine Learning Diploma K-Scheme consists of 6 semesters, each covering essential subjects to develop core technical skills.

 

 

 

MSBTE AI And Machine Learning First Semester Syllabus (AN1K)

Download the AI And Machine Learning First Semester Syllabus PDF using the link below.

 

Sr.	Subject Names and Codes
1.	Basic Mathematics (BMS) - 311302
2.	Communication Skills (English) (ENG) - 311303
3.	Basic Science (Physics & Chemistry) (BSC) - 311305
4.	Fundamentals of ICT (ICT) - 311001
5.	Engineering Workshop Practice (Computer Group) (WPC) - 311002
6.	Yoga and Meditation (YAM) - 311003
7.	Engineering Graphics (Electronics, Computer and Allied Branches) (EGP) - 311008

 

 

 

 

MSBTE AI And Machine Learning Second Semester Syllabus (AN2K)

Download the AI And Machine Learning Second Semester Syllabus PDF using the link below.

 

Sr.	Subject Names and Codes
1.	Applied Mathematics (AMS) - 312301
2.	Basic Electrical and Electronics Engineering (BEE) - 312302
3.	Programming in C (PIC) - 312303
4.	Linux Basics (BLP) - 312001
5.	Professional Communication (PCO) - 312002
6.	Social and Life Skills (SFS) - 312003
7.	Web Page Designing (WPD) - 312004

 

 

 

 

 

MSBTE AI And Machine Learning Third Semester Syllabus (AN3K)

Download the AI And Machine Learning Third Semester Syllabus PDF using the link below.

 

Sr.	Subject Names and Codes
1.	Database Management System (DMS) - 313302
2.	Digital Techniques (DTE) - 313303
3.	Data Structure Using Python (DSP) - 313306
4.	Statistical Modelling for Machine Learning (SML) - 313307
5.	Essence of Indian Constitution (EIC) - 313002
6.	Data Story Telling and Visualization (DST) - 313004

 

 

 

 

MSBTE AI And Machine Learning Fourth Semester Syllabus (AN4K)

Download the AI And Machine Learning Fourth Semester Syllabus PDF using the link below.

 

Sr.	Subject Names and Codes
1.	Environmental Education and Sustainability (EES) - 314301
2.	Java Programming (JPR) - 314317
3.	Data Communication and Computer Network (DCN) - 314318
4.	Mathematics for Machine Learning (MML) - 314320
5.	Microprocessor Programming (MIC) - 314321
6.	UI/UX Design (UID) - 314005

 

 

 

 

MSBTE AI And Machine Learning Fifth Semester Syllabus (AN5K)

Download the AI And Machine Learning Fifth Semester Syllabus PDF using the link below.

 

Sr.	Subject Names and Codes
1.	Operating System (OSY) - 315319
2.	AI & ML Algorithm (AMA) - 315330
3.	Entrepreneurship Development and Startups (ENDS) - 315002
4.	Seminar and Project Initiation Course (SPI) - 315003
5.	Internship (12 Weeks) (ITR) - 315004
6.	Advance Database Management (ADM) - 315324
7.	Cloud Computing for Data Science (CCD) - 315327
8.	Natural Language Processing (NLP) - 315329

 

 

 

 

MSBTE AI And Machine Learning Sixth Semester Syllabus (AN6K)

Download the AI And Machine Learning Sixth Semester Syllabus PDF using the link below.

 

Sr.	Subject Names and Codes
1.	Emerging Trends in CO and IT (ETI) - 316301
2.	Management (MAN) - 316302
3.	Software Engineering (SEC) - ?
4.	Network and Information Security (NIS) - 316002
5.	Capstone Project (CPE) - 316001
6.	Artificial Intelligence (AIN) - 316304
7.	Network and Information Security (NIS) - 316305
8.	Web-Based Application Development using PHP (WBP) - 316306

 

 Note: The subjects listed for the 6th semester are provisional and not yet finalized. Updates will be made once the official MSBTE syllabus is confirmed. Please check back soon for the latest information.

 

In addition to core subjects, students enrolled in the MSBTE K-Scheme AI And Machine Learning Diploma will have the option to choose electives based on their interests and career goals. The availability of elective subjects may vary across different colleges and institutes.