B.Tech. CSE (AI & ML) with academic support of Samatrix & IBM

Coding Intelligence, Shaping Tomorrow with Samatrix and IBM

    OVERVIEW

    B.Tech CSE (AI & ML) is a four-year unique programme offered in collaboration with IBM & Samatrix. This programme is designed under the guidance of academic experts and industry professionals that helps students to design and develop computer-based applications varying complexities in emerging areas of artificial intelligence and machine learning. Students get the opportunity to dive deeper into the dynamic concepts of artificial intelligence and machine learning.

    Programme Highlights

    • The curriculum of B.Tech. CSE (AI & ML) is specifically designed in consultation with industry insiders and experts from IBM and Samatrix

    • Consistent mentoring by acclaimed academicians and top industry experts
    • Highly sophisticated laboratories equipped with cutting-edge tech apparatus and softwares
    • Futuristic engineering kitchen and research units
    • Entrepreneurship and Incubation Center and Design Thinking Lab, designed to nurture innovative startup ideas
    • Realistic hands-on training for absolute excellence
    • Ensuring absolute preparedness for successful career progression
    • Internship and Placement opportunities in leading companies.
    • 600 + Journal articles in Scopus and WoS, 100+ Published Patents and highly research driven infrastructure.
    • Global Exposure: International paid visit to attend 2 weeks summer school at a Prestigious European university

    Learn with

    IBM is one of the leaders in Artificial Intelligence solution providers around the globe and has been changing the architecture of the AI world since its inception.

    Utilize IBM's tools and techniques for comprehensive data analysis, enabling informed decision-making.

    Gain practical experience working with enterprise software in the university's IBM LAB, preparing for real-world scenarios.

    Engage in hands-on sessions and real-time case studies, honing practical skills under industry experts' guidance.

    Learn with

    Samatrix consulting is a leading technology solution and training provider in India. For technical solutions in Artificial Intelligence, Machine Learning, Blockchain led by IIT & IIM alumni with rich corporate experience of over 20 years.

    Regular lectures by industry and Samatrix Experts

    Bring the benefits of artificial intelligence and machine learning through state-of-the-art solutions and algorithms

    Opportunity to work on Industry relevant projects on regression, tree, support vector machines, and deep learning

    Why choose SOET?

    Elevating Minds in AI and Machine Learning

    highly qualified, competent, and committed faculty pave the way for students to become pioneers in the dynamic fields.

    Fusion of Industry and Intelligence

    Our curriculum boasts collaborations and training led by industry experts.

    Global Excellence in AI and ML

    cutting-edge curriculum meticulously crafted by amalgamating best practices from top global universities.

    Shaping Futures through AI and ML

    Our curriculum emphasizes learning through practical experiences, with a focus on project-based learning, field projects etc.

    Global Careers in AI and Machine Learning

    Our emphasis extends beyond education to career growth, prioritizing training, placements, international internships, and preparation for advanced studies, ensuring our students are globally competitive in AI and Machine Learning.

    Discovering the Foundations

    of AI & ML Innovation

    The curriculum of B.Tech CSE AI and ML with academic support of IBM and Samtrix primarily focuses on the foundation of computational mathematics, core components of computer science, along with the latest advancements in artificial intelligence and machine learning. This programme will focus on educating students on soft skills, leadership, and finance to develop holistic capabilities in solving industrial problems.

    Programme Structure

    Semester 1
    Semester 2
    • 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 Courses

      Environmental Studies & Disaster Management

    • Data Visualization using PowerBI
    • Linear Algebra and Ordinary Differential Equations
    • Engineering Chemistry / Engineering Physics
    • Object Oriented Programming using C++
    • Engineering Chemistry Lab/Engineering Physics lab
    • Object Oriented Programming using C++ Lab
    • Overview of AI, Data Science, Ethics and Foundation of Data Analysis Lab
    • Open Elective-I
    • Minor Project-I
    • Applied Generative AI: Practical Tools and Techniques
    Semester 3
    Semester 4
    • Discrete Mathematics
    • Data Structures
    • Java Programming
    • Data Structures Lab
    • Open Elective-2
    • Probabilistic Modelling and Reasoning with Python Lab
    • Value-Added Course - 2
    • Verbal Ability
    • Summer Internship-I
    • Java Programming Lab
    • Competitive Coding - I
    • Club/Society
    • Analysis and Design of Algorithms
    • Database Management Systems
    • Machine Learning and Pattern Recognition
    • Analysis and Design of Algorithms Lab
    • Database Management Systems Lab
    • Communication & Personality Development
    • Open Elective III
    • Machine Learning Practical with Python, Scikit-learn, Matplotlib, TensorFlow
    • Minor project-II
    • R Programming for Data Science and Data Analytics Lab
    • Competitive Coding- II
    • Community Service
    Semester 5
    Semester 6
    • Theory of Computation
    • Operating Systems
    • Natural Language Processing
    • Arithmetic and Reasoning Skills
    • Natural Language Processing lab
    • Data Science - Tools and Techniques Lab
    • Operating System Lab
    • Big Data Analysis with Scala and Spark Lab
    • Summer Internship-II
    • Competitive Coding - III
    • 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 -I
    • Minor Project-III
      • Image Processing & Computer Vision Lab OR
      • Introduction to Generative AI Lab OR
      • Transfer Learning Lab
    • Competitive Coding - IV
    • MOOC in the domain of AI & ML (Swayam/ NPTEL/AICTE’s ELIS )
    Semester 7
    Semester 8

    • 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

    • Summer Internship-III

    • Applied Programming and Problem-Solving Skills for Campus Interviews

    • Industrial Project/ R&D Project/Start-up Project

    Connecting Talent to Dream Careers

    K.R. Mangalam University has collaborated with various top industry giants like Infosys, Wipro, TCS, Accenture, Genpact, etc., offering students a platform to secure good internships and placements. B.Tech CSE graduates embark on rewarding careers in various roles, reflecting the university’s commitment to producing industry-ready professionals who excel in the competitive global market.

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    Highest Package

    Career Options

    The B.Tech CSE (AI & ML) programme opens a ton of opportunities for our graduates in the fields of technology, computing, and engineering. Our diverse curriculum ensures that our graduates end up well equipped with all the skills required to navigate through the dynamic field of engineering. Once graduated, there are many career opportunities an engineer can choose from, and below are the most popular of them all:

    • AI/ML Software Developer: As a Software Developer, your responsibilities will revolve around crafting and developing new innovative AI software with your machine learning knowledge and shaping the future through your software and applications.
    • AI Data Scientist: An AI Data Scientist works with data charts, complex equations, graphs, and AI & ML algorithms to better optimise the business and its output.
    • AI Cybersecurity Analyst: These professionals work as cybersecurity experts to protect digital data infrastructures from any cyber threats by using AI enhancements to improve security measures for system integrity.

    • AI/ML Systems Engineer: AI/ML Systems Engineers work on the frontlines as the frontend developer to create and improve AI and ML technologies.

    • AI/ML IT Consultant: These professionals transform one’s expertise into business and offer consultation services to tech based companies on how they can integrate AI and ML in their software for boosting growth and performance.

    Hear straight from our Students

    Muskan

    Hi! I'm a student of B.Tech. CSE from K.R. Mangalam University with a specialization in AI & ML at K.R. Mangalam University. The excellent academics and well-rounded coursework give students a solid foundation in AI and ML. Under the direction of IBM and Samatrix specialists, we are receiving training.

    Vihaan

    I had high expectations for my BTech CSE Al-ML course, but I have to say it has exceeded them every single time. This course has changed my life. It has given me a strong grounding in both computer science as well as the emerging field of AI and machine learning.

    Tannu Rana

    The course material is well-balanced, covering both the foundational ideas of computer science and the complexities of artificial intelligence and machine learning. My ability to apply theoretical knowledge to practical tasks was enhanced by the hands-on approach to learning, which also helped me get ready for the difficulties of the quickly changing IT business.

    Maanav Aaditya

    To guarantee that we are knowledgeable about the tools utilized in practical AI and ML applications, the course also includes industry-relevant tools and technology. By bridging the knowledge gap between academia and industry expectations, the inclusion of guest lectures from professionals in the field offered insightful perspectives on current trends and issues in the field.

    Programme
    Outcomes

    • Core Competencies in Engineering:

      Graduates will possess a strong foundation in engineering knowledge, critical problem analysis, and solution design, equipped with skills for conducting thorough investigations to solve complex challenges.

      01

    • 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.

      02

    • Societal and Environmental Responsibility:

      Apply contextual knowledge to evaluate societal, health, safety, legal, and cultural issues, while understanding the impact of engineering solutions on the environment and advocating for sustainable development.

      03

    • Ethics:

      Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

      04

    • Effective Communication and Team Collaboration:

      Excel in both individual and team roles within diverse and multidisciplinary settings, while communicating complex engineering concepts clearly through effective reports, presentations, and interactions.

      05

    • Project Management:

      Apply engineering and management principles to lead and manage projects effectively in computer science and engineering contexts.

      06

    • Life-long learning:

      Embrace and actively pursue continuous learning to stay current with technological advancements and evolving practices in computer science and engineering.

      07

    • Successful professionals in industry, government, academia, research, entrepreneurial pursuits and consulting firms.

      01

    • Able to apply their knowledge of computer science & engineering principles to solve societal problems by exhibiting a strong foundation in both theoretical and practical aspects of the field.

      02

    • Dedicated to upholding professional ethics and social responsibilities, with a strong commitment to advancing sustainability goals.

      03

    • Demonstrating strong leadership skills and a proven ability to collaborate effectively in diverse, multidisciplinary teams to successfully achieve project objectives.

      04

    • Understanding the concepts, theories, tools, techniques, and methodologies of Computer Science & Engineering.

      01

    • Applying the concepts, theories, tools, techniques, and methodologies to solve real-world Computer Science & Engineering challenges.

      02

    • Analysing the methodologies context, problems, situations and issues related to Computer Science & Engineering.

      03

    • Evaluating the possible alternative solutions and making choices/decisions to solve problems in Computer Science & Engineering.

      04

    • Designing and developing innovative solutions to address complex problems in Computer Science & Engineering

      05

    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.

    • Quick and Instant

    • Availability of the loan across the country

    • Includes tuition fees, books cost, hostel fees, airfare.

    • Concessional rate of interest

    • Repayment tenure ranging from 5-15 years

    • Speedy disposal of loan applications

    • Up to 100% loan with lower interest rate and zero processing fees

    ICICI Bank

    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.

    • The student must be enrolled in an undergraduate course at KRMU and needs to score more than 8.0 CGPA

    • The student must have 75% or more attendance during the whole course period

    • Students must clear all of the papers/exams across the tenure in the first attempt

    • The student should not have any disciplinary charges against him/her during the whole period of their undergraduate degree

    Frequently Asked Questions

     B.Tech CSE (AI & ML) programme spans over four years each divided into 2 semesters.

    The programme is enriched with practical learning modules via workshops, lab sessions, software development projects, internships, assignments, and other modules to help our students grasp the deepest concepts of AI and ML technology.

    Graduates can choose from a lot of higher education options like M.Tech in AI & ML or an MBA after completing their Bachelor degree.

    The programme utilises diverse teaching methods, including AI-centric lectures, seminars, practical lab work, collaborative projects, and interactive learning, ensuring a well-rounded grasp of AI & ML.

    The faculty at KRMU ensures regular revision of the curriculum to stay relevant to the technological advancements and innovations made in the field of AI and ML.

    Students can join various clubs, participate in ML hackathons, attend specialised workshops, and engage in AI seminars, enhancing their practical skills and application of AI & ML knowledge.

    Commence Your Journey
    in 6 Simple Steps

    Commence Your Journey in 6 Simple Steps

    Start your Application

    At admissions.krmangalam.edu.in

    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 Enroled

    Be prepared to embark on your journey

    B.TECH CSE (AI & ML) WITH ACADEMIC SUPPORT OF SAMATRIX & IBM