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.
In today’s blog, we will outline one of the most sought-after programmes, the B.Tech. CSE (AI and ML). For students wondering how to start learning AI and ML, we have sketched course structure, top university details, career opportunities, and more. See below!
Overview of B.Tech. CSE (AI and ML)
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.
AI and ML are closely related but they’re 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.
K.R. Mangalam University: The Best College for AI and ML Programme
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.
KRMU’s 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.
Course Details
| Full Course Name |
Bachelor of Technology Computer Science and Engineering (Artificial Intelligence and Machine Learning) |
| Course Type |
Undergraduate |
| Course Duration |
4 Years (8 Semesters) |
| Admission Eligibility Criteria |
10+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 |
| Programme Fee (Per Year) |
Rs.2,65,000 |
| Average Salary |
6-10 LPA |
| Career Options |
Software Developer, AI Data Scientist, AI Engineer, Machine Learning Engineer/Developer, AI Ethics Consultant, IT Consultant |
Programme Structure
Year 01
| Semester I |
Semester II |
| Engineering Calculus |
Linear Algebra and Ordinary Differential Equations |
| Clean Coding with Python |
Engineering Chemistry / Engineering Physics |
| Engineering Physics / Engineering Chemistry |
Object Oriented Programming using C++ |
| Engineering Drawing & Workshop Lab |
Engineering Chemistry Lab/Engineering Physics lab |
| Clean Coding with Python Lab |
Object Oriented Programming using C++ Lab |
| Engineering Physics lab / Engineering Chemistry lab |
Overview of AI, Data Science, Ethics and Foundation of Data Analysis Lab |
| Value Added Courses |
Open Elective-I |
| Data Visualisation using PowerBI |
Minor Project-I |
|
Applied Generative AI: Practical Tools and Techniques |
Year 02
| Semester III |
Semester IV |
| Discrete Mathematics |
Analysis and Design of Algorithms |
| Data Structures |
Database Management Systems |
| Java Programming |
Machine Learning and Pattern Recognition |
| Data Structures Lab |
Analysis and Design of Algorithms Lab |
| Open Elective-2 |
Database Management Systems Lab |
| Probabilistic Modelling and Reasoning with Python Lab |
Communication & Personality Development |
| Value-Added Course – 2 |
Open Elective III |
| Verbal Ability |
Machine Learning Practical with Python, Scikit-learn, Matplotlib, TensorFlow |
| Summer Internship-I |
Minor project-II |
| Java Programming Lab |
R Programming for Data Science and Data Analytics Lab |
| Competitive Coding – I |
Competitive Coding- II |
| Club/Society |
Community Service |
Year 03
| Semester V |
Semester VI |
| Theory of Computation |
Computer Organisation & Architecture |
| Operating Systems |
Discipline Specific Elective – I |
| Natural Language Processing |
Computer Networks |
| Arithmetic and Reasoning Skills |
Neural Networks and Deep Learning |
| Natural Language Processing lab |
Computer Networks Lab |
| Data Science – Tools and Techniques Lab |
Deep Learning Practical with Python, TensorFlow and Keras |
| Operating System Lab |
Discipline Specific Elective -I |
| Big Data Analysis with Scala and Spark Lab |
Minor Project-III |
| Summer Internship-II |
Competitive Coding – IV |
| Competitive Coding – III |
MOOC in the domain of AI & ML (Swayam/ NPTEL/AICTE’s ELIS ) |
Year 04
| Semester VII |
Semester VIII |
| Discipline Specific Elective -II |
Industrial Project/ R&D Project/Start-up Project |
| Discipline Specific Elective -III |
|
| Discipline Specific Elective -II Lab |
|
| Discipline Specific Elective III Lab |
|
| Summer Internship-III |
|
| Applied Programming and Problem-Solving Skills for Campus Interviews |
|
Career Potential
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:
- AI/ML Software Developer
- Business Intelligence Developer
- AI/ML Systems Engineer
- Data Engineer
- AI/ML IT Consultant
- Research Analyst
Conclusion
We hope this blog has clarified all your doubts regarding the B.Tech. programme. K.R. Mangalam University is preparing students to take on these emerging technologies and lead the change. So, join us and start your technical journey today!
Also Read: List of B.Tech Courses: Various Specialisations/Eligibility Criteria/Careers
FAQs
Is doing B.Tech. in AI & ML worth it?
Our B.Tech. with AI and ML specialisations is one of the most sought-after programmes. Thanks to its wide-scale application, students can venture into various fields making it a future-ready programme in all terms.
What does a B.Tech. CSE (AI and ML) programme covers?
The B.Tech. CSE (AI and ML) programme covers Linear Algebra, Database Management Systems, Computer Networks, Java Programming, Arithmetic, Reasoning Skills, and more.
Where can I study B.Tech. CSE (AI and ML)?
There are many universities that offer a B.Tech. AI & ML programme, however, K.R. Mangalam University stands out as the best university out there. Located in Gurugram, KRMU offers placement and internship opportunities with tech giants such as Infosys, Wipro, TCS, and Accenture.
Is B.Tech. CSE with AI and ML good for placement?
Regardless of your career goals, the scope of placement is high. There is a lot of demand for AI & ML-skilled professionals in sectors such as information technology, healthcare, finance, retail, education, cybersecurity, and many more.
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