Overview
B Tech Computer Science and Engineering (AI & ML) with academic support of Samatrix and IBM is a four-year bachelor’s programme that helps students to gain a practical understanding of various Artificial Intelligence (AI) and Machine Learning (ML) functions and grows individual networks through cross-functional relationships.
KRMU has joined hands with Samatrix to develop this advanced curriculum to focus on developing the critical understanding of Linear Algebra and Statistics that are the foundation of AI and ML concepts. Students will get the opportunity to work on Industry relevant projects on regression, support vector machines, and deep learning.
Eligibility Criteria
candidates must have passed 10+2 examination or equivalent with PCM and with minimum 50% aggregate marks
Programme Details
Programme Highlights
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Highly sophisticated laboratories equipped with cutting-edge tech apparatus
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Realistic hands-on training for absolute excellence
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The curriculum of B Tech in AI and ML is specifically designed in consultation with industry insiders and experts
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Consistent mentoring by acclaimed academicians and top industry experts
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Ensuring absolute preparedness for successful career progression
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Futuristic engineering kitchen and research units
Programme Structure
|
Semester 1 |
|
Course Title |
Credit |
|
Applied Mathematics-I |
4 |
|
Engineering Physics |
4 |
|
Environmental Studies |
3 |
|
Programming for Problem Solving(With Python +Clean Coding offered by IBM) |
3 |
|
Programming for Problem Solving(With Python +Clean Coding offered by IBM) Lab |
1 |
|
Open Elective-I(Overview of AI, Data Science, Ethics and Foundation of Data Analysis) |
2 |
|
Open Elective-I(Overview of AI, Data Science, Ethics and Foundation of Data Analysis)Lab |
1 |
|
Engineering Physics Lab |
1 |
|
Basics of Electrical & Electronics Engineering |
4 |
|
Basics of Electrical & Electronics Engineering Lab |
1 |
|
Semester 2 |
|
Course Title |
Credit |
|
Applied Mathematics-II |
4 |
|
Communication Skills |
4 |
|
Engineering Chemistry |
4 |
|
Engineering Graphics Lab |
1.5 |
|
Engineering Chemistry Lab |
1 |
Data Analysis using Python, Numpy, Pandas, Matplotlib, and Seaborn
|
2 |
|
Workshop Practices |
1.5 |
|
Data Analysis using Python, Numpy, Pandas, Matplotlib, and Seaborn Lab |
1 |
|
Semester 3 |
|
Course Title |
Credit |
|
Applied Mathematics–III |
4 |
|
Probabilistic Modelling and Reasoning with Python |
2 |
|
Foundation of Computer Systems |
4 |
|
Data Structures |
4 |
|
Disaster Management |
3 |
|
R Programming for Data Science and Data Analytics |
2 |
|
Data Structures Lab |
1 |
|
Probabilistic Modelling and Reasoning with Python Lab |
1 |
|
R Programming for Data Science and Data Analytics Lab |
1 |
|
Business Communication Skills- I |
1 |
|
Semester 4 |
|
Course Title |
Credit |
|
Computer Organization & Architecture |
4 |
|
Analysis and Design of Algorithms |
4 |
|
Database Management Systems |
4 |
|
Machine Learning and Pattern Recognition |
3 |
|
Fundamentals of Management( With Machine Learning Practical with Python, Scikit-learn, Matplotlib, TensorFlow) |
5 |
|
Database Management Systems Lab |
1 |
|
Analysis and Design of Algorithms Lab |
1 |
|
Business Communication Skills- II |
1 |
|
Semester 5 |
|
Course Title |
Credit |
|
Big Data Analystics offered by IBM |
3 |
|
Theory of Computation |
4 |
|
Operating Systems |
4 |
|
Computer Networks |
4 |
|
Computer Networks Lab |
1 |
|
Big Data Analytics Lab |
1 |
|
iOS Development Lab |
1 |
|
Operating System Lab |
1 |
|
Practical Training I |
1 |
|
Quantitative Aptitude Reasoning - I |
1 |
|
Semester 6 |
|
Course Title |
Credit |
|
Compiler Design |
4 |
|
Neural Networks and Deep Learning |
3 |
|
Deep Learning Practical with Python, TensorFlow and Keras |
2 |
|
Data Science - Tools and Techniques |
2 |
|
Natural Language Processing |
2 |
|
Quantitative Aptitude Reasoning - II |
1 |
|
Data Science - Tools and Techniques Lab |
1 |
|
Natural Language Processing Lab |
1 |
|
Graph Theory |
3 |
|
Distributed Computing Systems |
3 |
|
Advanced Computer Architecture |
3 |
|
Semester 7 |
|
Course Title |
Credit |
|
Computer Vision |
2 |
|
Minor Project |
6 |
|
Computer Vision Lab |
1 |
|
Practical Training II |
2 |
|
Data Visualization and Story Telling |
2 |
|
Data Visualization and Story Telling Lab |
1 |
|
Cloud Computing |
4 |
|
Cloud Computing Lab |
1 |
|
Internet of Things |
4 |
|
Internet of Things Lab |
1 |
|
Data Warehousing and Data Mining |
4 |
|
Data Warehousing and Data Mining Lab |
1 |
|
Semester 8 |
|
Course Title |
Credit |
|
Major Project |
6 |
|
Elective |
3 |
|
Elective |
4 |
Who should Pursue
B Tech CSE in Artificial Intelligence and Machine Learning programme is for those students who wish to seek a theoretical foundation and want to have strong practical skills in the field of communications networks.
Financial Assistance
K.R. Mangalam University partnered with the leading banks to help you to finance your dream course through Education Loan. You only have to start repaying one year after finishing your course or six months after you get a job.
Benefits:
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Quick and Instant
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Includes tuition fees, books cost, hostel fees, airfare.
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Concessional rate of interest.
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Speedy disposal of loan applications
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Availability of the loan across the country
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Up to 100% loan with lower interest rate and zero processing fees
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Repayment tenure ranging from 5-15 years.
Career Options
After pursuing B Tech CSE in Specialization with AI & ML course students will get a chance to work in various top-notch companies and develop their skills and knowledge. AI & ML can open up career opportunities in the areas of data science, software engineering, robotics, and AI research.
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Some of the career options that a student can opt for are:
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Data Analyst
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Data Engineer
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Data Scientist
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Machine Learning Engineer
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Artificial Intelligence Engineer
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Machine learning Architect
Placements
K.R. Mangalam University has a promising association and collaboration with various industry giants like Infosys, Wipro, TCS, Accenture, Genpact, and many more to offer students a chance to get industry exposure and get a secured position in the market and earn a good salary package.
Faq
Yes, K.R. Mangalam University extends promising Financial Assistance in partnership with major banks and firms including GrayQuest, ICICI Bank, IDFC FIRST Bank, and Axis Bank.
AI (Artificial Intelligence) is a broad field that deals with machines that can think, learn and make decisions like humans. ML (Machine Learning) is a subset of AI, where machines learn from data and experience.
Some of the top recruiters offering leading roles to B.Tech. CSE with specialization in AI and ML graduates are Infosys, Wipro, TCS, Accenture, Genpact, and many other leading companies.
During a B Tech AI and ML programme students develop a range of skills including programming, data analysis, mathematical modeling, machine learning algorithms.
Yes, students who are inclined to pursue the B Tech CSE in AI and ML programme may be eligible for the scholarship in accordance with the terms and conditions.
The students seeking admission to B Tech CSE in AI and ML are required to fill out the Online Application Form and take the KREE Entrance Assessment Test. Upon successful clearance, the shortlisted students have to attend the Faculty-Led Interview for confirmed successful enrolment.
Some of the key study areas covered in the B.Tech. CSE with specialization in AI and ML curriculum includes Engineering Physics, Basics of Electrical & Electronics Engineering, Engineering Chemistry, Foundation of Computer Systems, Data Structures, etc.