OVERVIEW
This unique programme offers a deep dive into the world of AI and ML, two of the most transformative technologies in the modern era. Students gain not only a strong foundation in core computer science principles but also specialized knowledge in AI and ML, delivered through a curriculum co-designed with industry leaders Samatrix and IBM.
Programme Highlights
Discovering the Foundations
of AI & ML Innovation
The B.Tech. in Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning at K.R. Mangalam University, supported academically by Samatrix and IBM, is carefully crafted to offer an extensive and varied curriculum. This programme delves deeply into the intricate realms of AI and ML, reflecting the multifaceted and dynamic nature of today’s advanced computing and technological landscapes.
Programme Structure
- Engineering Calculus
- Clean Coding with Python
- Engineering Physics / Engineering Chemistry
- Engineering Drawing & Workshop Lab
- Clean Coding with Python Lab
- Engineering Physics lab / Engineering Chemistry Lab
- Value-Added Course
- Data Visualization using PowerBI
- Linear Algebra and Ordinary Differential Equations
- Engineering Chemistry / Engineering Physics
- Overview of AI, Data Science, Ethics and Foundation of Data Analysis
- Basics of Electrical & Electronics Engineering
- Engineering Chemistry Lab/Engineering Physics Lab
- Basics of Electrical & Electronics Engineering Lab
- Overview of AI, Data Science, Ethics and Foundation of Data Analysis Lab
- Value-Added Course
- Open Elective
- Minor Project
- Summer Internship
- Discrete Mathematics
- Data Structures
- Java Programming
- Data Structures Lab
- Probabilistic Modelling and Reasoning with Python Lab
- Java Programming Lab
- Life Skills for Professionals-I
- Open Elective
- Value-Added Course
- Evaluation of Summer Internship
- Analysis and Design of Algorithms
- Database Management Systems
- Machine Learning and Pattern Recognition
- Analysis and Design of Algorithms Lab
- Database Management Systems Lab
- Machine Learning Practical with Python, Scikit-learn, Matplotlib, TensorFlow
- R Programming for Data Science and Data Analytics Lab
- Life Skills for Professionals-II
- Open Elective
- Value-Added Course
- Minor Project
- Summer Internship
- Theory of Computation
- Operating Systems
- Natural Language Processing
- Big Data Analysis with Scala and Spark
- Big Data Analysis Lab
- Natural Language Processing Lab
- Data Science - Tools and Techniques Lab
- Operating System Lab
- Life Skills for Professionals-III
- Evaluation of Summer Internship
- Computer Organization & Architecture
- Discipline Specific Elective-I
- Image Processing & Computer Vision OR
- Introduction to Generative AI OR
- Transfer Learning
- Computer Networks
- Neural Networks and Deep Learning
- Computer Networks Lab
- Deep Learning Practical with Python, TensorFlow and Keras
- Discipline Specific Elective Lab -I
- Image Processing & Computer Vision Lab OR
- Introduction to Generative AI Lab OR
- Transfer Learning Lab
- Competitive Coding Lab
- Minor Project
- Discipline Specific Elective-II
- Secure Coding and Vulnerabilities OR
- Cyber Crime Investigation & Digital Forensics OR
- AI in Cyber Security OR
- Social Media Security
- Discipline Specific Elective-III
- Mobile Application Development using iOS OR
- DevOps & Automation OR
- .Net FRAMEWORK OR
- New Age Programming Languages
- Discipline Specific Elective-II Lab
- Secure Coding and Vulnerabilities Lab OR
- Cyber Crime Investigation & Digital Forensics Lab OR
- AI in Cyber Security Lab OR
- Social Media Security Lab
- Discipline Specific Elective-III Lab
- Mobile Application Development using iOS Lab OR
- DevOps & Automation Lab OR
- .Net FRAMEWORK Lab OR
- New Age Programming Languages Lab
- Minor Project
*Student has the option to pursue Full Time Internship from Industry in lieu of subjects in 7th semester
- Industrial Project/R&D Project/Start-up Project
Connecting Talent to Dream Careers
At KRMU, we are honored to collaborate with renowned industry giants such as Infosys, TCS, Wipro, Tata Consultancy Service, and Accenture for our engineering students. These esteemed companies actively participate in our campus recruitment drives, offering our students exceptional career opportunities in the fields of AI and ML.
Career Options
Our B.Tech. in Computer Science and Engineering with a focus on Artificial Intelligence and Machine Learning, bolstered by academic support from Samatrix and IBM, paves the way for diverse and stimulating career paths in the tech realm. Graduates of this programme are armed with deep knowledge and practical skills, ready to excel in various dynamic sectors. Here are five prominent career trajectories available, among many others:
Programme
Outcomes
Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
01
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.
02
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.
03
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.
04
Modern tool usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
05
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.
06
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.
07
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
08
Individual and team work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
09
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.
10
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.
11
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.
12
Career Advancement
Develop knowledge and abilities in the area of Artificial Intelligence & Machine Learning and create a foundation of lifelong learning to facilitate progressive careers in industry and in pursuit of higher studies.
01
Innovative Solutions
Apply critical thinking, analytical, and problem-solving skills to develop innovative solutions that address complex real-world problems in the field of AI & Machine Learning
02
Integrated Skillset
To provide our students with the necessary communication and interpersonal skills, multidisciplinary teamwork, and leadership abilities so they can achieve their professional obligations.
03
Moral Awareness
To make students aware of current concerns so they can develop morals and sense of responsibility for themselves, their coworkers, society, and the nation
04
EngineerMindscape
Acquire comprehensive knowledge and skills in the field of Artificial Intelligence & Machine Learning, enabling the graduates to excel in their careers and pursue higher studies.
01
Innovation Masters
Demonstrate the ability to analyse complex real-world problems in the domain of AI & Machine Learning, apply critical thinking and analytical skills to develop innovative solutions, and effectively communicate the outcomes.
02
Leadership Prowess
Develop effective communication and interpersonal skills, including the ability to work in multidisciplinary teams, collaborate with diverse stakeholders, and demonstrate leadership abilities in AI & Machine Learning projects.
03
Crafting Conscientious Engineers
Cultivate a strong sense of ethics, moral values, and social responsibility, ensuring graduates understand the impact of their work on society, the nation, and their professional obligations.
04
Financial Assistance
K.R. Mangalam University partnered with the leading banks to help you to finance your dream course through Education Loan. You only have to start repaying one year after finishing your course or six months after you get a job.
Sponsored
MBA Degree
100% Sponsored MBA for Outstanding Undergraduates
KRMU takes pride in nurturing the leaders of tomorrow. To honor and encourage academic excellence, we offer a distinctive sponsorship scheme: Exceptional undergraduates have the opportunity to pursue an MBA at KRMU with 100% sponsorship. This initiative is our commitment to investing in the bright minds that have demonstrated remarkable academic achievements during their undergraduate studies.
Embark on an MBA journey without financial constraints and unlock your full potential. At KRMU, we provide more than just an education; we offer a pathway to excellence and success in the business world. Seize this opportunity to transform your academic prowess into a thriving career.
Frequently Asked Questions
Commence Your Journey
in 6 Simple Steps
Complete payment and submit
Pay the required Application Fee
Take an entrance test
K.R. Mangalam University Entrance Examination (KREE)
Appear for interaction
Attend our Faculty-Led Interview.
Get the admission offer
You will receive the offer letter after the successful interaction
Get Enrolled
Be prepared to embark on your journey
B.TECH CSE (AI & ML) WITH ACADEMIC SUPPORT OF SAMATRIX & IBM