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


BTECH/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning (Bachelor of Engineering/Technology in Computer Science and Engineeringi n Artificial Intelligence and Machine Learning)
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

    List of BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) colleges

  • BMS Institute of Technology and Management(BMSIT)
    BMS Institute of Technology and Management(BMSIT)

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    • Visvesvaraya Technological University

    Eligibility: The candidates shall have passed the 2nd year Pre University or 12th standard or equivalent examination held preceding the entrance test with Physics and Mathematics as compulsory subjects, along with one of the following subjects - Chemistry, Bio-technology, Computer Science, Biology or Electronics. The Candidate should have secured not less that 45% of aggregate marks in optional subjects with English as one of the languages for admissions to engineering.

    Duration: 4 Years

    Specializations:

    • Information Science & Engineering
    • Electronics & Telecommunication Engineering
    • Electronics & Communication Engineering
    • Mechanical Engineering
    • Electrical & Electronics Engineering
    • Civil Engineering
    • Computer Science and Engineering (Artificial Intelligence and Machine Learning)
    • Computer Science and Engineering

    Campus Location: BMSIT&M, Doddaballapur Main Road, Avalahalli, Yelahanka, Bengaluru 64

    Distance:

    The college is well connected to Air, Bus and Railways 
    The distance from Kempegowda international Airport is 21.2 km
    The distance from Bangalore Central Railway Station(SBC/Majestic) is 24.8km


  • Dayananda Sagar College of Engineering
    Dayananda Sagar College of Engineering

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    • Visvesvaraya Technological University

    Eligibility: The admission to college is through the entrance test, Common Entrance Test (CET) conducted by Karnataka Government & Consortium of Medical, Engineering and Dental Colleges of Karnataka COMEDK. The students with meritorious ranking are considered for admissions. A pass in 10+2 or equivalent examination in the first attempt with Physics, Chemistry and Mathematics as specialization A pass in 10+2 or equivalent examination with 45 % marks aggregate in Physics, Chemistry, Mathematics and Biology/ Computer science/ Electronics

    Duration: 4 Years

    Specializations:

    • Civil Engineering (Construction Engineering and Management)
    • Aeronautical Engineering
    • Biotechnology
    • Medical Electronics
    • Information Science & Engineering
    • Electronics & Instrumentation Engineering
    • Industrial Engineering & Management
    • Chemical Engineering
    • Electronics & Telecommunication Engineering
    • Electronics & Communication Engineering
    • Mechanical Engineering
    • Automobile Engineering
    • Electrical & Electronics Engineering
    • Civil Engineering
    • Computer Science and Engineering (Artificial Intelligence and Machine Learning)
    • Computer Science and Engineering

    Campus Location: DAYANANDA SAGAR COLLEGE OF ENGINEERING, SHAVIGE MALLESHWARA HILLS, KUMARSWAMY LAYOUT, BANGALORE - 78

    Distance:

    The College is located in the residentioal area of Bangalore, well connected to Railways, Airways and Bus Connectivity. 
    Distance from Central Railways is Aprox. of 10 km. 
    Distance from Kempegowda International Airport is Approx. of 45 Km.


  • MS Ramaiah University of Applied Sciences - Bangalore
    MS Ramaiah University of Applied Sciences - Bangalore

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    • M S Ramaiah University of Applied Sciences, Private University

    Eligibility: Pass 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry or Bio Technology or Biology or equivalent. Obtained at least 45% marks (40% in case of candidates belonging to reserve category) in the above subjects taken together

    Duration: 4 Years

    Specializations:

    • Automotive Engineering
    • Robotics and Mechatronics
    • Aerospace Engineering
    • Information Science & Engineering
    • Electronics & Communication Engineering
    • Mechanical Engineering
    • Electrical & Electronics Engineering
    • Civil Engineering
    • CSE - Mathematics & Computing
    • Computer Science and Engineering (Artificial Intelligence and Machine Learning)
    • Computer Science and Engineering

    Campus Location: University House, Gnanagangothri Campus New BEL Road, M S R Nagar, Bangalore Karnataka, INDIA - 560 054.

    Distance:

    • The University is well connected with Airport, Railways station and Bus station
    • Distance from Kempegowda International Airport: 30.2kms
    • Distance from City Bus stand: 7.1kms


  • Jain University
    Jain University

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    • Jain University, Deemed University

    Eligibility: Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects and obtained at least 60% marks (55% in case of SC/ST category) in the above subjects taken together.

    Duration: 4 Years

    Specializations:

    • Electrical & Electronics Engineering - IoT Energy Management
    • CSE - Cloud Technology and Mobile application
    • Artificial Intelligence
    • Software Engineering
    • Aeronautical Engineering
    • Aerospace Engineering
    • Information Science & Engineering
    • Electronics & Communication Engineering - Cellular Technology
    • Electronics & Communication Engineering - Embedded systems and Industrial IOT
    • Electrical & Electronics Engineering - Electric Mobility & Smart Systems
    • Automobile Engineering
    • Mechanical Engineering -3D printing
    • Civil Engineering
    • CSE - Robotic process Automation
    • CSE - Cloud Technology and Information science
    • Computer Science and Engineering (Data Science)
    • Computer Science and Engineering (Artificial Intelligence and Machine Learning)
    • Mechatronics
    • Computer Science and Engineering (IoT)
    • Computer Science and Engineering (Cyber Security)
    • Computer Science and Engineering

    Campus Location: School of Engineering & Technology NH-209, Bangalore - Kanakapura Main Road Jakkasandra Post, Kanakapura Taluk Ramanagara District - 562 112

    Distance:

    Distance From Bangalore Airport to College : 16.4 km
    Distance From Bangalore Railway Station to College : 18 km


  • Christ University
    Christ University

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    • Christ University (Deemed University)

    Eligibility: Eligibility for the programme is a pass at the +2 level (Karnataka PUC / ISC / CBSE / NIOS / State Boards) Examination from any recognised Board. Candidates should have studied Physics, Chemistry and Mathematics at +2 level and obtained a minimum aggregate of 50% in Physics, Chemistry & Mathematics and 50% in Mathematics.

    Duration: 4 Years

    Specializations:

    • Information Technology
    • Electronics and Computer Engineering
    • Civil Engineering (Construction Engineering and Management)
    • Robotics and Mechatronics
    • Electronics & Communication Engineering
    • Mechanical Engineering
    • Automobile Engineering
    • Electrical & Electronics Engineering
    • Civil Engineering
    • Computer Science and Engineering (Data Science)
    • Computer Science and Engineering (Artificial Intelligence and Machine Learning)
    • Computer Science and Engineering (IoT)
    • Computer Science and Engineering

    Campus Location: Christ University, Mysore Road, Kanmanike, Kumbalgodu

    Distance:

    The University is well connected with Airport, Railways & Bus
    Distance From Bangalore Airport : 41 km
    Distance From City Bus Stand :10.4 km


  • New Horizon College of Engineering
    New Horizon College of Engineering

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    • Visvesvaraya Technological University

    Eligibility: The student should have passed 2nd PUC/ 12th standard or equivalent examination with English as one of the languages and should have scored an aggregate of 45% in Physics and Mathematics as compulsory subjects along with Chemistry/ Bio-Technology/Computer Science/Electronics/Biology. In case of candidates belonging to Karnataka Scheduled Caste, Scheduled Tribe and other Backward Classes (Category I, 2A, 2B, 3A and 3B), the minimum marks for the purpose of eligibility will be 40% aggregate in the optional subjects in the qualifying examination.

    Duration: 4 Years

    Specializations:

    • Information Science & Engineering
    • Electronics & Communication Engineering
    • Mechanical Engineering
    • Automobile Engineering
    • Electrical & Electronics Engineering
    • Civil Engineering
    • Computer Science and Engineering (Artificial Intelligence and Machine Learning)
    • Computer Science and Engineering

    Campus Location: Bellandur Main Rd, Kaverappa Layout, Near Marathahalli, Bengaluru, Karnataka 560103 India

    Distance:

    • Distance from Bangalore Airport to College: 46.7 km
    • Distance from City Railway station to College: 22.9 km
    • Distance from City Bus stand to College: 19 km


  • Dayananda Sagar University (DSU)
    Dayananda Sagar University (DSU)

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    Dayananda Sagar University, Private University

    Eligibility: Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Computer Science / Electronics / Technical Vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST & OBC category) in the above subjects taken together, of any Board recognized by the respective State Governments / Central Government / Union Territories or any other qualification recognized as equivalent there to.

    Duration: 4 years, Full Time, Graduate programme


    Campus Location: Dayananda Sagar University Devarakaggalahalli, Harohalli, Kanakapura Road, Ramanagara Dt., Bengaluru – 562112

    Distance:

    The College is located in the residentioal area of Bangalore, well connected to Railways, Airways and Bus Connectivity. 
    Distance from Central Railways is Aprox. of 10 km. 
    Distance from Kempegowda International Airport is Approx. of 45 Km.


  • Acharya Institute of Technology(AIT)
    Acharya Institute of Technology(AIT)

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    • Visvesvaraya Technological University

    Eligibility: Pass in 10+2 / Higher Secondary (HS) / Pre University (PUC) / 'A' Level (with 12 years of schooling) or its equivalent with English as one of the languages. Shall have secured a minimum of 45% marks in aggregate in Physics, Mathematics and any one of the following : Chemistry, Biology, Computer Science, Electronics. AIT admits students as per prevailing rules and regulations of VTU.

    Duration: 4 Years

    Specializations:

    • Mining Engineering
    • Robotics and Mechatronics
    • Aeronautical Engineering
    • Biotechnology
    • Information Science & Engineering
    • Electronics & Communication Engineering
    • Mechanical Engineering
    • Automobile Engineering
    • Electrical & Electronics Engineering
    • Civil Engineering
    • Computer Science and Engineering (Artificial Intelligence and Machine Learning)
    • Computer Science and Engineering

    Campus Location: Acharya Institutes Acharya Dr. Sarvepalli Radhakrishnan Road Acharya PO, Soladevanahalli Bangalore-560 107, India

    Distance:

    The College is well connected to Bus stations, airport and railway station 
    Distance from airport is 35.6 km
    Distance from Central bangalore Railway Station(SBC) is 21.8 km
    Distance from Yeswanthpur Railway Station is 14.5 km


  • SEA College of Engineering and Technology
    SEA College of Engineering and Technology

    Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

    Affiliations:

    • Visvesvaraya Technological University

    Eligibility: For B.Tech, candidates need to have 10 + 2 with 45% marks with Physics and Mathematics as compulsory subjects along with Chemistry/ Biotechnology/ Biology/ Computer Science/ Electronics from a recognized board. For B.Arch, candidates need to have 10+2 with 50% marks in Physics, Chemistry, and Mathematics, English is one of the languages.

    Duration: 4 Years

    Specializations:

    • Information Science & Engineering
    • Electronics & Communication Engineering
    • Mechanical Engineering
    • Civil Engineering
    • Computer Science and Engineering (Artificial Intelligence and Machine Learning)
    • Computer Science and Engineering (Cyber Security)
    • Computer Science and Engineering

    Campus Location: Ekta Nagar, Basavanapura, Virgonagar P.O, K R Puram, Bangalore - 560049, India.

    Distance:

    The college is well connected to Air, Railways and Bus 
    Distance from Airport is 36 km 
    Distance from Bangalore central Railways(Majestic) is 18.7 km


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

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

Last updated: Jan 30, 2023

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BTech/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning course details

Duration 4 Years
Level Bachelor Programme
Admission Mode Merit/Management
Entrance Exams Karnataka CET / COMED-K  / JEE Advance / JEE-Main
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:  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

Year Semester Subject
Year I 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
Year II 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
Year III 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
Year IV 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

Placement 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.

select_all 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

The B.Tech Computer Science Engineering (AI and ML) students can land in many lucrative job roles some of them are listed below.

Artificial Intelligence Engineer: As an AI intelligence engineer one is responsible to build AI models from scratch and help the different components of the organisation. They are also responsible for building data ingestion and data transformation infrastructure. They are required to automate infrastructure that the data science team uses.

Salary: The salary ranges from 6 lakhs to 12 lakhs per annum

Machine Learning Engineer: As a Machine Learning Engineer one is responsible to perform statistical analysis, fine tuning of test results. He/she is also responsible to train and refrain ML systems by working on different frameworks. They are required to undertake machine learning test experiments and fix the bugs that they come across during their tests.

Salary: The salary ranges from 8 lakhs to 10 lakhs per annum

Data Scientist: The Data Scientists work closely with business stakeholders to understand their goal and determine how data can be used to achieve those goals. They design data modelling processes, create algorithms and predictive models using different AI and ML techniques, to extract the data required for the business needs. They help to analyse the data and share insights with peers for new business developments.

Salary: The salary ranges from 8 lakhs to 10 lakhs per annum

Data Engineers: The data engineers are vital members of the analytics team in an organisation that works on machine learning projects. The data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise using AI and ML technologies. They are responsible to build algorithms to help give easier access to raw data to the technical team using artificial intelligence and machine learning techniques.

Salary: The salary ranges from 10 lakhs to 12 lakhs per annum

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