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.
class Major Courses
Some of the popular specialisations available in B.Tech Computer Science are:
Course 1: BTech/BE - Computer Science and Engineering
Course 2: BTech/BE - Computer Science and Technology
Course 3: BTech/BE - Computer Science and Engineering (Cyber Security)
Course 4: BTech/BE Computer Science and Engineering (IoT)
Course 5: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Course 6: BTech/BE Computer Science and Engineering (Block Chain)
Course 7: BTech/BE Computer Science and Technology (DevOps)
Course 8: BTech/BE Computer Science and Technology (Big Data)
Course 9: BTech/BE Computer Science and Engineering (Data Science)
Course 10: BTech/BE Computer Engineering (Data Analytics)
Course 11: BTech/BE CSE - Cloud Technology and Mobile application
Course 12: BTech/BE CSE - Cloud Technology and Information science
Course 13: BTech/BE CSE - Mathematics & Computing
Course 14: BTech/BE CSE - Robotic process Automation
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 |
List of Top BTech/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning Colleges in Bangalore
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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. -
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 -
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
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Presidency University
![Presidency University]()
Course name: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Affiliations:
- Presidency University / VTU
Eligibility: Pre-University / Higher Secondary /10+2 examination Pass with Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Technical Vocational subject Obtained at least 45% marks (40% in case of candidates belonging to Reserved Category) in the above subjects taken together Appeared for JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; PUEET-2020 or any other State-level Engineering Entrance Examination.
Duration: 4 Years
Specializations:
- Petroleum Engineering
- Electrical & Electronics Engineering [Automotive Electronics]
- Electrical & Electronics Engineering [Power & Energy Systems]
- Mechanical Engineering [Additive Manufacturing]
- Civil Engineering [Infrastructure Development]
- Civil Engineering [Smart Cities]
- Information Science and Technology (Internet Technologies)
- Information Science and Engineering [Business Analytics & Optimization]
- Electronics and Computer Engineering (IT infrastructure)
- Electronics & Communication Engineering
- Mechanical Engineering
- Electrical & Electronics Engineering
- Civil Engineering
- Computer Engineering (Data Analytics)
- Computer Science and Engineering (Data Science)
- Computer Science and Technology (Big Data)
- Mechatronics
- Computer Science and Technology (DevOps)
- Computer Science and Technology
- Computer Science and Engineering
Campus Location: Itgalpur Rajanakunte, Yelahanka, Bengaluru, Karnataka 560064
Distance:
- The college is well conneceted to Bus Stations Railway Stations & airport
- Distance from Airport is 28.1 km
- Distance from Majestic(Central Railway Station(SBC)) is 29.8 km
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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 -
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 -
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 -
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
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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
List of BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning) colleges
Syllabus of BTech/BE Computer Science and Engineering in Artificial Intelligence and Machine Learning
| Year | Semester | Subject |
|---|---|---|
| Year I | Semester I |
Physics Group
Laboratory
Chemistey Group
Laboratory
|
| Semester II |
Physics Group
Laboratory
Chemistey Group
Laboratory
|
|
| Year II | Semester III |
Laboratory
|
| Semester IV |
Laboratory
|
|
| Year III | Semester V |
Elective - I
|
| Semester VI |
Elective - II
Elective - III
|
|
| Year IV | Semester VII |
Elective - IV
Elective - V
|
| Semester VIII |
Elective - VI
|
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.
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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.
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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.
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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.
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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
