B.Tech CSE in Artificial Intelligence & Machine Learning | K.R. Mangalam

B.Tech Computer Science and Engineering in AI & ML with Samatrix and IBM

The graduate Engineering programmers in Artificial Intelligence & Machine Learning at School of Engineering & Technology, K.R. Mangalam University Gurgaon are about providing an innovative Education filled with discovery, and dissemination of knowledge.

The programmers allow fresher’s to gain a practical understanding of different Artificial Intelligence & Machine Learning functions and to grow individual networks through cross-functional relationships. From Artificial Intelligence & Machine Learning engineering, there are various programmes for the students’ addressing their interest.

Artificial Intelligence and Machine Learning have transformed the business environment drastically. Artificial Intelligence is its ability to propel innovation as it diffuses through the economy. The Biggies such as Google, Facebook, and Twitter banks on Artificial Intelligence and Machine Learning to their potential expansion.

The increased demand for AI led industry revolution has developed a need of creating a pool for trained resources.

Samatrix.io has developed an advanced curriculum with the help of industry experts. After the completion of the course, the students can apply for various jobs such as data analysts, data scientists, and Artificial Intelligence engineers. Our course focuses on developing the key understanding of Linear Algebra and Statistics that are the foundation of Artificial Intelligence and Machine Learning concepts. The foundations of Python are covered to develop a strong base in programming. With the help of examples and projects, we help develop the competency in Reinforcement Learning, Neural Networks, Deep Learning, TensorFlow, Random Forest, and Boosting. Our course will give the learner a leverage not only during initial employment but also during career progression.

Students get to learn under the supervision of highly adept and experienced faculty teams developing the skills you need to succeed and make a valuable contribution right from the start.

Programme Highlights:

  • Learn from IBM and Samatrix experts.
  • Focus on building software applications using Machine Learning, Deep Learning algorithms, Data Cleaning and Data Visualization, Natural Language Processing, and Computer Vision.
  • Key learning includes the understanding of mathematical models and developing software solution using machine learning and deep learning models (CNN, RNN, LSTM, GAN etc.)
  • Regular classes taken by Industry in campus only.
  • Provide LMS Access to all the students, it contains large number of dataset, projects, puzzles, assignments, interview questions etc.
  • Globally valid certificate.
  • Free participation in Hackathon
  • Exposure of In-house Incubation Cell nurturing various Startups.
  • Job Opportunities includes Machine Learning Engineer, AI Developer, Data Analytics etc.

Programme Structure

Semester 1
Course Title Credit
Applied Mathematics-I 4.0
Engineering Physics 4.0
Environmental Studies 3.0
Programming for Problem Solving(With Python +Clean Coding offered by IBM) 3.0
Basics of Mechanical Engineering 4.0
Open Elective-I(Overview of AI, Data Science, Ethics and Foundation of Data Analysis) 4.0
Engineering Physics Lab 1.0
Programming for Problem Solving Lab(Removed) nan
Basics of Mechanical Engineering Lab 1.0
Semester 2
Course Title Credit
Applied Mathematics-II 4.0
Basics of Electrical & Electronics Engineering 4.0
Engineering Chemistry 4.0
Communication Skills 4.0
Open Elective-II 4.0
Engineering Graphics Lab 1.5
Basics of Electrical & Electronics Engineering Lab 1.0
Engineering Chemistry Lab 1.0
Workshop Practices(With Data Analysis using Python, Numpy, Pandas, Matplotlib, and Seaborn) 3.0
Semester 3
Course Title Credit
Applied Mathematics–III 4.0
Analog Electronics (with Probabilistic Modelling and Reasoning with Python) 3.0
Digital Electronics 4.0
Foundation of Computer Systems 4.0
Data Structures 4.0
Disaster Management 3.0
Analog Electronics Lab(With Linear Algebra with Python, Numpy and Pandas) 3.0
Digital Electronics Lab 1.0
Data Structures Lab 1.0
Semester 4
Course Title Credit
Computer Organization & Architecture 4.0
Signals and Systems( With Machine Learning and Pattern Recognition) 3.0
Analysis and Design of Algorithms 4.0
Database Management Systems 4.0
Fundamentals of Management( With Machine Learning Practical with Python, Scikit-learn, Matplotlib, TensorFlow) 4.0
Computer Organization & Architecture Lab 1.0
Database Management Systems Lab 1.0
Analysis and Design of Algorithms Lab 1.0
nan nan
Semester 5
Course Title Credit
Java Programming(Moved to 7th sem) Replaced with Big Data Analystics offered by IBM 4.0
Theory of Computation 4.0
Operating Systems 4.0
Computer Networks 4.0
Computer Networks Lab 1.0
Java Programming Lab(Big Data Lab IBM) 1.0
Fundamentals of iOS Development Lab 1.5
Operating System Lab 1.0
Practical Training I 1.0
Value Added Courses 0.0
Semester 6
Course Title Credit
Compiler Design 4.0
Artificial Intelligence ( With Neural Networks and Deep Learning (Vision and NLP)) 3.0
Software Engineering(With Applications of Deep Learning and Neural Networks) 4.0
Compiler Design Lab 1.0
Advanced iOS Development Lab( With Data Science - Tools and Tech kniques) 3.0
Mini Project 2.0
Elective 3.0
Semester 7
Course Title Credit
Chasing The Rainbow: The Entrepreneurial Streak 3.0
Minor Project 2.0
Elective 3.0
Elective 4.0
Practical Training II 1.0
Semester 8
Course Title Credit
Major Project 6.0
Elective 3.0
Elective 4.0



4 Years

Fees Structure

  • Semester-I
  • Semester-II
  • Total Fee

Admission helpline

Admission Related Enquiry