{"id":88664,"date":"2025-02-17T11:45:17","date_gmt":"2025-02-17T11:45:17","guid":{"rendered":"https:\/\/www.krmangalam.edu.in\/?p=88664"},"modified":"2026-04-15T05:48:44","modified_gmt":"2026-04-15T05:48:44","slug":"ai-and-ml","status":"publish","type":"post","link":"https:\/\/wp.krmangalam.edu.in\/blog\/ai-and-ml\/","title":{"rendered":"Unlocking the Potential of B.Tech. CSE (AI and ML)"},"content":{"rendered":"

Artificial Intelligence (AI) and Machine Learning (ML) are currently the driving force behind many innovations around the world. From reshaping the way we interact to transforming industries, AI and ML have unprecedented potential.<\/span><\/p>\n

In today\u2019s blog, we will outline one of the most sought-after programmes, the B.Tech. CSE (AI and ML)<\/strong><\/a>. For students wondering how to start learning AI and ML, we have sketched course structure, top university details, career opportunities, and more. See below!<\/span><\/p>\n

Overview of B.Tech. CSE (AI and ML)<\/h2>\n

B.Tech. CSE (AI and ML) is considered one of the best AI and ML courses in the engineering field. The programme equips students to develop intelligent machines that can work autonomously. The students of this course become proficient in programming language, data analysis, cloud computing, computer vision, and more.<\/span><\/p>\n

AI and ML are closely related but they\u2019re not the same. Artificial Intelligence (AI) focuses on technologies that can mimic human actions and thoughts. Machine learning (ML), on the other hand, is about identifying patterns and teaching machines to perform specific tasks.<\/span><\/p>\n

K.R. Mangalam University: The Best College for AI and ML Programme<\/h2>\n

Offering various undergraduate and postgraduate courses, and exciting opportunities, the students get a chance to collaborate with big industry leaders K.R. Mangalam University is considered one of the best universities in India.<\/span><\/p>\n

KRMU\u2019s B.Tech. CSE (AI & ML) is a 4-year undergraduate course. The curriculum with academic support from IBM and Samtrix, focuses on core concepts of computer application, computational mathematics, and the latest AI advancements.<\/span><\/p>\n

Course Details<\/h3>\n\n\n\n\n\n\n\n\n\n
Full Course Name<\/b>\u00a0<\/span><\/td>\nBachelor of Technology Computer Science and Engineering (Artificial Intelligence and Machine Learning)<\/span><\/td>\n<\/tr>\n
Course Type<\/b>\u00a0<\/span><\/td>\nUndergraduate<\/span><\/td>\n<\/tr>\n
Course Duration<\/b>\u00a0<\/span><\/td>\n4 Years (8 Semesters)<\/span><\/td>\n<\/tr>\n
Admission Eligibility Criteria<\/b>\u00a0<\/span><\/td>\n10+2 examination with Physics and Mathematics as mandatory courses + Chemistry\/ Computer Science\/ Electronics\/ Information Technology\/ Biology\/ Informatics Practices\/ Biotechnology\/ Technical Vocational subject\/ Agriculture\/ Engineering Graphics\/ Business Studies\/ Entrepreneurship from any recognised Board\/ University + A minimum of 50% aggregate marks<\/span><\/td>\n<\/tr>\n
Programme Fee (Per Year)<\/b><\/td>\nRs.2,65,000<\/span><\/td>\n<\/tr>\n
Average Salary<\/b><\/td>\n6-10 LPA<\/span><\/td>\n<\/tr>\n
Career Options<\/b>\u00a0<\/span><\/td>\nSoftware Developer, AI Data Scientist, AI Engineer, Machine Learning Engineer\/Developer, AI Ethics Consultant, IT Consultant<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Programme Structure<\/h3>\n

Year 01\u00a0<\/span><\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n
Semester I<\/b>\u00a0<\/span><\/td>\nSemester II<\/b>\u00a0<\/span><\/td>\n<\/tr>\n
Engineering Calculus<\/span><\/td>\nLinear Algebra and Ordinary Differential Equations<\/span><\/td>\n<\/tr>\n
Clean Coding with Python<\/span><\/td>\nEngineering Chemistry \/ Engineering Physics<\/span><\/td>\n<\/tr>\n
Engineering Physics \/ Engineering Chemistry<\/span><\/td>\nObject Oriented Programming using C++<\/span><\/td>\n<\/tr>\n
Engineering Drawing & Workshop Lab<\/span><\/td>\nEngineering Chemistry Lab\/Engineering Physics lab<\/span><\/td>\n<\/tr>\n
Clean Coding with Python Lab<\/span><\/td>\n Object Oriented Programming using C++ Lab<\/span><\/td>\n<\/tr>\n
Engineering Physics lab \/ Engineering Chemistry lab<\/span><\/td>\nOverview of AI, Data Science, Ethics and Foundation of Data Analysis Lab<\/span><\/td>\n<\/tr>\n
Value Added Courses<\/span><\/td>\nOpen Elective-I<\/span><\/td>\n<\/tr>\n
Data Visualisation using PowerBI<\/span><\/td>\nMinor Project-I<\/span><\/td>\n<\/tr>\n
<\/td>\nApplied Generative AI: Practical Tools and Techniques<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Year 02<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Semester III<\/b><\/td>\nSemester IV<\/b>\u00a0<\/span><\/td>\n<\/tr>\n
Discrete Mathematics<\/span><\/td>\nAnalysis and Design of Algorithms<\/span><\/td>\n<\/tr>\n
Data Structures<\/span><\/td>\nDatabase Management Systems<\/span><\/td>\n<\/tr>\n
Java Programming<\/span><\/td>\nMachine Learning and Pattern Recognition<\/span><\/td>\n<\/tr>\n
Data Structures Lab<\/span><\/td>\nAnalysis and Design of Algorithms Lab<\/span><\/td>\n<\/tr>\n
Open Elective-2<\/span><\/td>\n Database Management Systems Lab<\/span><\/td>\n<\/tr>\n
Probabilistic Modelling and Reasoning with Python Lab<\/span><\/td>\nCommunication & Personality Development<\/span><\/td>\n<\/tr>\n
Value-Added Course – 2<\/span><\/td>\nOpen Elective III<\/span><\/td>\n<\/tr>\n
Verbal Ability<\/span><\/td>\nMachine Learning Practical with Python, Scikit-learn, Matplotlib, TensorFlow<\/span><\/td>\n<\/tr>\n
Summer Internship-I<\/span><\/td>\nMinor project-II<\/span><\/td>\n<\/tr>\n
Java Programming Lab<\/span><\/td>\nR Programming for Data Science and Data Analytics Lab<\/span><\/td>\n<\/tr>\n
Competitive Coding – I<\/span><\/td>\nCompetitive Coding- II<\/span><\/td>\n<\/tr>\n
Club\/Society<\/span><\/td>\nCommunity Service<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Year 03<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Semester V<\/b>\u00a0<\/span><\/td>\nSemester VI<\/b>\u00a0<\/span><\/td>\n<\/tr>\n
Theory of Computation<\/span><\/td>\nComputer Organisation & Architecture<\/span><\/td>\n<\/tr>\n
Operating Systems<\/span><\/td>\nDiscipline Specific Elective – I<\/span><\/td>\n<\/tr>\n
Natural Language Processing<\/span><\/td>\nComputer Networks<\/span><\/td>\n<\/tr>\n
Arithmetic and Reasoning Skills<\/span><\/td>\nNeural Networks and Deep Learning<\/span><\/td>\n<\/tr>\n
Natural Language Processing lab<\/span><\/td>\n Computer Networks Lab<\/span><\/td>\n<\/tr>\n
Data Science – Tools and Techniques Lab<\/span><\/td>\nDeep Learning Practical with Python, TensorFlow and Keras<\/span><\/td>\n<\/tr>\n
Operating System Lab<\/span><\/td>\nDiscipline Specific Elective -I<\/span><\/td>\n<\/tr>\n
Big Data Analysis with Scala and Spark Lab<\/span><\/td>\nMinor Project-III<\/span><\/td>\n<\/tr>\n
Summer Internship-II<\/span><\/td>\nCompetitive Coding – IV<\/span><\/td>\n<\/tr>\n
Competitive Coding – III<\/span><\/td>\nMOOC in the domain of AI & ML (Swayam\/ NPTEL\/AICTE\u2019s ELIS )<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Year 04<\/h4>\n\n\n\n\n\n\n\n\n\n
Semester VII<\/b>\u00a0<\/span><\/td>\nSemester VIII<\/b>\u00a0<\/span><\/td>\n<\/tr>\n
Discipline Specific Elective -II<\/span><\/td>\nIndustrial Project\/ R&D Project\/Start-up Project<\/span><\/td>\n<\/tr>\n
Discipline Specific Elective -III<\/span><\/td>\n<\/td>\n<\/tr>\n
Discipline Specific Elective -II Lab<\/span><\/td>\n<\/td>\n<\/tr>\n
Discipline Specific Elective III Lab<\/span><\/td>\n<\/td>\n<\/tr>\n
Summer Internship-III<\/span><\/td>\n\u00a0<\/span><\/td>\n<\/tr>\n
Applied Programming and Problem-Solving Skills for Campus Interviews<\/span><\/td>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Career Potential<\/h2>\n

AI is so deeply ingrained in the modern that it’s even affecting our personal and professional lives. This is why the scope after B.Tech. CSE (AI & ML) programme is immense and has given rise to many popular job options such as:<\/span><\/p>\n