Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
B.Tech. in Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the concepts of Artificial intelligence and machine learning and apply it in various applications. Delivery of the curriculum is through a problem based and project-based approach. The students are provided with a 360-degree holistic education with an equal weightage being given to co-curricular and extra-curricular activities along with the necessary skill development required for engineering industry.
Further Highlights of the Programme include,
• Globally competent curriculum vetted through involvement of industry experts and academic experts in line with industry requirements.
• The students will have mandatory internships and also industry-based student internships to understand the requirements of industry.
• Students are given a plethora of interdisciplinary and multidisciplinary disciplines through open electives and global electives in line with National Education Policy 2020.
• Industry oriented curriculum towards providing opportunities to solve real time problems faced by industries.
• Application based teaching learning through case studies and frequent field visits.
• Opportunity to hone their skill sets required in a particular domain through Honours and Minor programmes.
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Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
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Bangalore Central Campus
The Office of Admissions,
CHRIST (Deemed to be University), Hosur Road,
Bengaluru - 560 029, Karnataka, INDIA
Ph. No: +91 92430 80800
Ph. No: +91 80 4012 9400
Email IDs
Indian candidates: admissions@christuniversity.in
NRI candidates: nri.admission@christuniversity.in
International: isc.admission@christuniversity.in
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Bangalore Bannerghatta Road Campus
CHRIST (Deemed to be University) Hulimavu, Bannerghatta Road, Bengaluru - 560 076, Karnataka, INDIA Ph. No: 080 4655 1306
Email: admissions.bgr@christuniversity.in |
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Bangalore Kengeri Campus
CHRIST (Deemed to be University)
Kanmanike, Kumbalgodu, Mysore Road, Bengaluru - 560 074, Karnataka, INDIA
|
Bangalore Yeshwanthpur Campus
CHRIST (Deemed to be University)
Nagasandra, Near Tumkur Road,
Bengaluru 560 073, Karnataka, INDIA |
|
Delhi NCR Campus
CHRIST (Deemed to be University),
Mariam Nagar, Meerut Road,
Delhi NCR Ghaziabad - 201003
Ph. No: 1800-123-3212
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Pune Lavasa Campus
CHRIST (Deemed to be University),
Christ University Road, 30 Valor Court,
PO Dasve Lavasa, Mulshi, Pune - 412112, Maharashtra
Ph. No : 1800-123-2009,
Email: admission.lavasa@christuniversity.in |
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
Candidates falling under any of the below mentioned categories must apply under the International Student Category:
International students coming from Non-English speaking countries should:
Candidates without the above pre-qualifications will have to enroll either for
Note: The International Student category fee structure is binding for the full duration of the programme and cannot be transferred /changed in between.
Candidates from the above listed categories having pursued Indian Educational qualification and who may have applied under the Indian States Category will have to pay the International Student Category Fee. The decision of the Admission committee is final.
Candidates seeking admission through International Student category (Foreign Nationals/PIO/OCI) will have a separate application process, with the following options to apply for any programme at Christ University.
Email ID for any clarifications: isc.admission@christuniversity.in
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
Students are welcome to apply under the Non Resident Indian category for the programmes offered by the University. Application process is common for all category of applicants
Students who fall under any of the following classifications can apply under NRI Student category and be liable to pay the fees applicable to the category for the entire duration of the programme
1. NRI defined under the Indian Income Tax Law
2. Either of the parents is outside India (except Nepal) on Work Permit / Resident Permit.
3. Indian citizen financed by any Institution / agency outside India, even if parents are Residents of India.
4. Indian Citizen who has pursued studies for qualifying examination in any foreign / Indian syllabus outside India..
5. NRI fee is applicable for the full duration of the programme for candidates who;
5.1. Have pursued and completed their last qualifying exam from outside India.
5.2. Are NRI and candidates who have applied under NRI category
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Admission to all programmes is based on academic achievement and CHRIST (Deemed to be University) Selection Process. Candidates should submit the final results of class 12 on or before August 30th of the admission year.
Applicants must read through the Selection process, Fee Structure and other details under the preferred programme given on our website before proceeding with the application process.
NRI SELECTION PROCESS VENUE FOR 2024
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
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INSTRUCTIONS FOR SUBMISSION OF ONLINE APPLICATION FORM
Candidates are required to apply online only through the University website www.christuniversity.in No other means/mode of application will be accepted.
Candidates should thoroughly go through the programme eligibility criteria, etc. before applying.
All applicants are required to create a one-time registration ID to be able to apply for the programme of their choice. They can create the Login ID by
Using the following link https://espro.christuniversity.in/Application/
OR
Through the program of your choice. After selecting the program, you will be redirected to the Registration for New Students Admission page.
Step-1 Procedure to Register as a New applicant
Step-2 Procedure to Login
Step-3 Steps you need to follow to fill out your personal information in the application form:
Step-4 Application Fee Payment:
Applicants must note:
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Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
The department of Electronics and Communication Engineering is well established with state of art technology to impart knowledge for future industrial and educational needs. It is furnished with sound laboratories outfitted with hi-tech instruments, internet and computer systems. The total campus is networked by wired and Wi-Fi system. It has well experienced faculties from reputed industries and institutions. It has personalized syllabus suited for global industrial and academic needs. It is well integrated by standalone seminar hall and support-ing auditorium to conduct seminars, workshops and training.
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
Department Vision
To emerge as a centre of academic excellence in the field of Electronics & Communication Engineering to address the dynamic needs of the industry upholding moral values
Department Mission
• Impart in-depth knowledge in Electronics & Communication Engineering to achieve academic excellence.
• Develop an environment of research to meet the demands of evolving technology.
• Inculcate ethical values to promote team work and leadership qualities befitting societal requirements.
• Provide adaptability skills for sustaining in the dynamic environment.
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
|
Year
|
# Karnataka
|
Other Indian States
|
NRI
|
SAARC / AFRICA / PIO / OCI / ASEAN
|
Other Foreign Nationals
|
Time of Payment
|
|
1
|
246,000 INR
|
266,000 INR
|
360,000 INR
|
5,200 USD
|
5,800 USD
|
Within seven days of declaration of the Selection Process Result
|
|
2
|
246,000 INR
|
266,000 INR
|
360,000 INR
|
5,200 USD
|
5,800 USD
|
On or before March 15, 2026
|
| 3 | 266,000 INR | 286,000 INR | 390,000 INR | 5,700 USD | 6,300 USD | On or before March 15, 2027 |
| 4 | 266,000 INR | 286,000 INR | 390,000 INR | 5,700 USD | 6,300 USD | On or before March 15, 2028 |
|
# The fee for Karnataka domicile students, as indicated in the table, is the actual fee payable and excludes the scholarship amount.
It is to be noted that though the fee is fixed for four years, there may be a periodic nominal increase to meet the rise in costs.
1. NRI fee is applicable for the first year for candidates who have studied foreign syllabus (has to be approved by UGC / AIU) in the qualifying examination of study in India. In subsequent years Other Indian States fee will be applicable.
(The above condition is not applicable to NRI and candidates applied under NRI Category).
2. NRI fee is applicable for the full duration of the Programme for candidates who;
2.1. Have pursued and completed their last qualifying exam from outside India. 2.2. Are NRI and candidates who have applied under the NRI category. 3. To claim the Indian category fee, the candidates should have studied last 7 years in India. (Not applicable for OCI, PIO and Foreign Nationals).
4. Admission registration fee of INR 5000/- is non-refundable in the event of cancellation of admission. This fee will be apart from cancellation charges if applicable.
5. All Candidates If “Selected” after appearing for the final selection process, the fee may be paid through the following option:
|
||||||
Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the fundamentals of artificial intelligence and machine learning who contribute to the growth of themselves, leading to the growth of the institution and hence the growth of the country
Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change
At the end of the program, the graduates will be able to:
PSO1: Apply the skills of artificial intelligence and machine learning to analyse and design solutions related to intelligent systems
PSO2: Use modern tools and devices to solve problems related to machine learning and deep learning through electronics and computer science applications
Graduates of B.Tech Artificial Intelligence will be able to:
PEO1: Domain Knowledge
Apply the knowledge of artificial intelligence and machine learning to analyse, design and develop solutions for real time engineering problems
PEO2: Research
Pursue higher learning and research
PEO3: Team Work and Ethics
Work in teams with professional ethics
PEO4: Life Long learning
Exhibit professional excellence through lifelong learning
Dharmaram College Post, Hosur Road, Bengaluru - 560029,
Karnataka, India
Tel: +91 804012 9100 / 9600
Fax: 40129000
Email: mail@christuniversity.in
Web: http://www. christuniversity.in
EXCELLENCE AND SERVICE
CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.
