B.Tech CSE in Artificial Intelligence & Machine Learning | K.R. Mangalam
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B.Tech - Computer Science & Engineering (CSE) with AI & ML with academic support of Samatrix and IBM

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School of Engineering & Technology

Duration

Years

Fees Structure

Semester-I

Rs.1,05,000/-

Semester-II

Rs.1,05,000/-

Total Fee

Rs.2,10,000/-

 

Overview
B.Tech in Computer Science Engineering (CSE) with Specialization in Artificial Intelligence and Machine Learning is a course featured by K.R. Mangalam University’s School of Engineering and Technology (SOET) which helps its students to gain a practical understanding of various Artificial Intelligence (AI) and Machine Learning (ML) functions and grows individual networks through cross-functional relationships. The major focus of the programme is to equip the students who wish to acquire the ability to design intelligent solutions to real-time problems.
 
K.R. Mangalam University (KRMU) has developed this course with the help of industry experts keeping in mind the advancement and increased demand of the use of AI and ML in today’s industries. 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. This programme discusses artificial intelligence methods based on different fields like neural networks, signal processing and data mining, etc.
 
This course also covers the foundations of Python coding language to create a strong base in programming with the help of live projects. Students get to train under highly proficient Industry experts and academicians who will not only clear their concepts in the field but also make them ready to reach heights in this industry. The graduates will embrace professional ethics while providing solutions to social problems in the industry and research environment to demonstrate leadership qualities among the students.
 
 

Eligibility Criteria

candidates must have passed 10+2 examination or equivalent with PCM and with minimum 50% aggregate marks

Programme Details

Programme Highlights
  • Students enrolling in this course get a chance to be trained by IBM and Samatrix experts.
  • The curriculum focuses on the building of Software applications using Machine Learning, Deep Learning Algorithms, Data Cleaning and Visualization, Natural language Processing and Computer Vision.
  • Regular classes are being held by industry professionals on the campus only
  • LMS access has been provided to all the students enrolled in this course. LMS is a collection of a large number of data-sets, projects, puzzles, assignments and interview questions which not only increases the student’s theoretical and practical knowledge but also helps them in getting placed at a world-class organization.
  • KRMU issues a certificate after successful completion of the program which has been acclaimed and recognized globally.
  • Students enrolled in this course are given free participation in Hackathon to display their skills and earn laurels.
  • Students having an inclination towards startups are given exposure to in-house Incubation Cell which have been nurturing various startups since its inception.
  • Job Opportunities includes Machine Learning Engineer, AI Developer, Data Analytics etc
  • School of Engineering and Technology focus on providing students with sustainable solutions to dynamic problems with the help of their Research and Innovations capabilities. 
  • SOET faculties are all qualified and are experts in their respective fields who train students with the help of modern tools and techniques.
 
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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

 

Programme Outcomes
  • A pool of Knowledge- The aspirants are able to apply knowledge of mathematics, science, engineering specialization to solve complex problems.
  • Analyzing the problems- Graduates are expected to identify, formulate and review the research and accordingly come to the conclusion for solving complicated problems. Students will be able to analyze the data with the help of Pandas, Python, Numpy, etc.
  • Use of Modern Tools and Techniques- The university faculties teaches the students with data science modern tools and techniques so that they can easily understand various topics and innovative ideas.
  • Problem-Solving Behaviour- The aspirants will be able to solve problems with the help of Python and clean coding with IBM. Students have the freedom to choose elective subjects according to their needs that will help them to inculcate skills to solve actual problems.
  • Effective Communication- Graduates get the opportunity to effectively communicate the ideas related to various topics as we know that communication plays a very important role in delivering your ideas and thinking.
  • Life long Learning- Graduates get to learn new skills and ideas which gives the freedom to students to choose their career path more wisely in accordance with their interests. 
 

Who should Pursue

The popularity of artificial intelligence, machine learning and data sciences are rapidly rising with the changing environment. Candidates are now shifting towards this course because they are trying to understand the significance and scope of Artificial Intelligence. Students who are interested in machines and are keen learners shall pursue this B.Tech CSE in AI and ML. The objective of this program is to prepare students to become industry ready and knowledgeable for a new world in which Data Science plays a significant role and helps to transform the behavior of students and help them to gain problem-solving techniques.

Sponsored MBA Degree

K.R. Mangalam University offers a Sponsored MBA Degree to all of the new KRMU students who are looking forward to getting enrolled in the UG courses. 
KRMU bears the total course fee i.e. INR 5,20,000 of the deserving student. This is a golden opportunity for the students who wish to pursue MBA after their undergraduate studies.
 

WHO IS ELIGIBLE?

The students who wish to avail and pursue a Sponsored MBA Degree from K.R. Mangalam University should be eligible as per the following eligibility criteria:
  • The student must be enrolled in an undergraduate course at KRMU and needs to score more than 8.0 CGPA
  • Students must clear all of the papers/exams across the tenure in the first attempt
  • The student must have 75% or more attendance during the whole course period
  • The student should not have any disciplinary charges against him/her during the whole period of their undergraduate degree

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:

  • Quick and Instant
  • Includes tuition fees, books cost, hostel fees, airfare.
  • Concessional rate of interest.
  • Speedy disposal of loan applications
  • Availability of the loan across the country
  • Up to 100% loan with lower interest rate and zero processing fees
  • Repayment tenure ranging from 5-15 years.
 

Career Options

Our students who graduate with a B.Tech Computer Science and Engineering in AI & ML degree can get into various job profiles that can provide them with a fair chance to earn and work with reputed companies of the world. Some of the top career options chosen by our students are listed below:
  • Data Analyst 
  • Data Engineer 
  • Data Scientist
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Machine learning Architect
  • Big Data Engineer
  • Software Engineer
  • Solution Developer
  • Design Engineers

Placements

K.R. Mangalam University aims at making students industry-ready with a regular curriculum and academic placements. KRMU helps its students in shaping a good future ahead. Regular and new recruiters join hands with the university to provide good placements opportunities to the students every year. Apart from the campus placements university engages with the various corporate world through various lectures, internships, corporate events, case study competitions etc. KRMU believes in providing career counsellings and corporate connections to students for getting good employment opportunities in future. All organisations big or small, private or public hire BTech CSE in Artificial Intelligence graduates in their companies.
Some of the top recruiters that regularly visit our campus to recruit our students are mentioned below:
  • Amazon
  • Tata Consultancy Services
  • Accenture
  • Wipro 
  • Microsoft
  • Intel Corporation
  • Deloitte
  • Bosch
  • Oracle
 

Faq

Students must have passed 10+2 in the Science stream with a minimum aggregate of 50% marks. Read more about BTech CSE in AI and ML Admission 2022 at KRMU Click here.

Yes the university provides various internship and placement opportunities in various top companies so that students can apply their skills and understand the working of various organizations.

To enhance professional knowledge in this field, students must have the following skills like statistics and probability, coding, applied studies and programming languages.

The college provides educational loans to the students as the college has collaborated with leading banks to provide assistance to its students. To know more about financial assistance Click here

Some of the benefits of using AI technology are error reduction, faster decisions, data mining, rapid innovation, etc.

 

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