Top BTECH/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning Colleges in Bangalore

Unlock endless opportunities with BTECH/BE Computer Science and Engineering in AI and ML - Empower your future!

Artificial Intelligence (AI) and Machine Learning (ML) are arguably the most transformative technologies available to mankind today. Artificial Intelligence and Machine Learning have the potential to completely disrupt most industries and organisations, which means that everyone needs to understand the basics of this fast-evolving field and consider the implications on their career and business.
Artificial Intelligence is creating more impact than the invention of the personal computer and the spread of mobile phones. Rather than trying to embody machines with everything they need to know upfront, the artificial intelligence professionals help the machines to learn from the observations happening around.
Today, the world is powered by machines. Through the advancements of the technology, engineers today can develop a machine that can learn on its own. This is nothing but machine learning. It seeks to create predictive models and algorithms, giving the computers the ability to carry out tasks without being explicitly programmed.
In the last few years, artificial intelligence and machine learning technologies have moved us forward in technology stakes faster than we imagined. The demand for artificial intelligence and machine learning professionals is increasing day by day and it is predicted to stay in the future.

List of Top BTech/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning Colleges in Bangalore

BMS Institute of Technology and Management(BMSIT)
Dayananda Sagar College of Engineering
MS Ramaiah University of Applied Sciences - Bangalore
Jain University
Christ University
New Horizon College of Engineering
Dayananda Sagar University (DSU)
Acharya Institute of Technology(AIT)
SEA College of Engineering and Technology

Major Programmes

Duration
Duration
4 Years
Level
Level
Bachelor Programme
Mode of Admission
Mode of Admission
Merit /Management
Eligibility
Eligibility

Pass in PUC / 10+2 or equivalent with Physics and Mathematics along with Chemistry / Bio-technology / Computer Science / Biology / Electronics with English as Language having obtained an aggregate minimum of 45% marks & 40% in case of Karnataka SC, ST & OBCs and secured a rank in the Entrance Test (Entrance test not applicable to NRI / Foreigners ).

Fees
Fees

Merit Quota: Rs.25,000 to Rs 75,000 per annum
Management Quota: Rs.75,000 to Rs. 10,00,000 per annum

Admission Process
Admission Process

Merit - The candidates seeking admission under merit to B.Tech. programme should qualify CET/COMED-K/JEE/JEE-Main Exam.  The qualified students are then required to undergo, JEE counselling, CET counselling and COMED-K counselling to get admission to B.Tech. programme. 
Management - Students looking for Management seats can go for Direct Admission

Syllabus of BTech/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning

Semester Subject
Semester I

Physics Group

  • Calculus and Linear Algebra
  • Engineering Physics
  • Basic Electric al Engineering
  • Elements of Civ il Engineering and Mechanics
  • Engine erin g Graphics
  • Technical English - I

Laboratory

  • Engineering Physics 
  • Basic Electric al Engineering

Chemistey Group

  • Calculus and Linear Algebra
  • Engineering Chemistry
  • C Programming for Problem Solving
  • Basic Electronics
  • Elements of Mechanical Engineering
  • Technical English- I

Laboratory

  • Engineering Chemistry
  • C Programming
Semester II

Physics Group

  • Advanced Calculus and Numerical Methods
  • Engineering Physics
  • Basic Electrical Engineering
  • Elements of Civil Engineering and Mechanics
  • Engineering Graphics
  • Technical English- II

Laboratory

  • Engineering Physics Laboratory
    Basic Electrical Engineering

Chemistey Group

  • Advanced Calc ul us and
  • Numerical Methods
  • Engineering Chemistry
  • C Programming for Problem Solving
  • Basic Electronics
  • Elements of Mechanical Engineering
  • Technical English - II

Laboratory

  • Engineering Chemistry Laboratory
  • C Programming
Semester Subject
Semester III
  • Transform Calculus, Fourier Series And Numerical Techniques 
  • Data Structures and Applications
  • Analog and Digital Electronics
  • Computer Organization
  • Software Engineering
  • Discrete Mathematical Structures
  • Balake Kannada (Kannada for communication)
  • Samskrutika Kannada (Kannada for Administration) or Constitution of India, Professional Ethics and Cyber Law

Laboratory

  • Analog and Digital Electronics Laboratory
  • Data Structures Laboratory
Semester IV
  • Complex Analysis, Probability And Statistical Methods
  • Design and Analysis of Algorithms
  • Operating Systems
  • Microcontroller and Embedded Systems
  • Object Oriented Concepts
  • Data Communication
  • Baleke Kannada (Kannada for communication) Or Samskrutika Kannada (Kannada for Administration)

Laboratory

  • Design and Analysis of Algorithm Laboratory
  • Microcontroller and Embedded Systems Laboratory
Semester Subject
Semester V
  • Software Engineering and Agile Methodologies
  • Web Programming Fundamentals
  • Data Warehousing and Mining
  • Advanced Machine Learning
  • Design and Analysis of Algorithm
  • Elective - I

Elective - I

  • Applications of AI
  • Social network analytics
  • Implementation of AI Projects
Semester VI
  • Deep Learning Fundamentals
  • Computer Vision & Image Processing
  • Natural Language Processing
  • Elective - II
  • Elective - III
  • Open Elective - I
  • Project - I

Elective - II

  • Deep Learning with Pytorch
  • Deep Learning with Keras and TensorFlow
  • Reinforcement Learning

Elective - III

  • CNNRNN for NLP
  • Recommender Systems
  • Speech recognition & conversational systems
Semester Subject
Semester VII
  • Elective - IV
  • Elective - V
  • Data Visualization & Story Telling
  • Open Elective - II
  • Project - II

Elective - IV

  • Robotics
  • Fundamentals of Cybersecurity
  • Cloud and Distributed Computing

Elective - V

  • Animation & CGI Motion
  • Network Defense for Cybersecurity
  • Information Security Governance
Semester VIII
  • Elective - VI
  • Open Elective - III
  • Project - III / Internship

Elective - VI

  • Robotic Process Automation
  • Blockchain
  • Internet of Things

Placements of BTech/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning

The B.Tech Computer Science & Engineering (Artificial Intelligence & Machine Learning) has excellent job opportunities across different sectors. After the completion of the B.Tech Computer Science & Engineering (Artificial Intelligence & Machine Learning) the students will be able to work as Artificial Intelligence Engineer, Machine Learning Engineer, Data Scientist etc. As soon as he/she starts a career in artificial intelligence, they work in a team that handles Artificial Intelligence and Machine learning projects. As they gain experience and skill, they can become a team leader and also can be promoted as project managers.

Benefits of BTech/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning

As a Computer Science & Engineering (Artificial Intelligence & Machine Learning) Professional one will be enjoying the following benefits.

  • High Salary Packages: The AI and ML professionals are given an excellent pay scale even at the starting of their career. The salaries and emoluments of the AI & ML professionals is much higher when compared to other employees in most of the organisations. The organisations are ready to pay good salaries for the skilled professionals especially with niche skills like AI and ML.

  • AI and ML jobs are abundant: The AI and ML engineers have the option to work across different sectors that includes banks, investment firms, IT solutions, telecommunication companies, automated production units, IT services etc. Almost all the sector organisations hire the qualified AI and ML skilled engineers for inhouse job roles.

  • High Demand: AI and ML is ready to create a technology revolution in the coming years and is in high demand. The AI & ML is the upcoming field and the industries are oriented towards adaptation of the AI and ML solutions for their business in coming days. This clearly depicts that there are huge job opportunities for skilled professionals especially with the niche skills of AI and ML.

  • Career growth is enormous: AI and ML is set to create the next technological revolution in the IT industry. So, there will be emergence of new job roles in the field of AI and ML. This means that the skilled professionals will have the option to choose from the plethora of roles and reach great heights in their careers in this emerging field. The advancement in skills helps the professionals to choose perfect roles according to their skills especially in the AI and ML areas.

Top Recruiters for BTech/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning students

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