BCA (Hons. with Research) (AI & Data Science) with academic support of Samatrix & IBM

Beyond Data Unveiling AI Research Frontiers with Samatrix & IBM


    Our BCA (Hons. with Research) in AI & Data Science with academic support of Samatrix and IBM, offers a unique blend of advanced learning and research in the burgeoning fields of artificial intelligence and data science. This programme is specifically tailored for those who aspire to be at the forefront of technological innovation and research.Students are immersed in a curriculum that combines rigorous academic coursework with an emphasis on independent research, fostered by the expertise and resources of Samatrix and IBM.

    BCA (Hons. with Research) (AI & Data Science)

    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 guest lectures by Industry Experts

    The curriculum covers all important concepts of supervised learning (parametric/ non-parametric algorithms, support vector machines, kernels, neural networks), unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning), and Hadoop

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

    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.

    Regular lectures by industry and IBM Experts

    Earn globally recognized digital badge, affirming your expertise and skills in the field

    Industry integrated curriculum that incorporates real world industry practices

    Why choose SOET?

    Unlocking Tomorrow’s Frontiers

    Empower your mind with our dedicated faculty, leading the way in the exciting fields of Artificial Intelligence and Data Science.

    Seamless Synergy

    Experience the perfect blend of industry insights and intelligence in our curriculum, deeply integrated with AI and Data Science, featuring collaborations with industry leaders like Samatrix and IBM.

    Global Excellence

    Dive into a world-class curriculum, merging global best practices in Artificial Intelligence and Data Science from top universities worldwide and the vast knowledge of the Open-Source Society University.

    Deciphering the Future with

    AI & Data Science

    The BCA (Hons. with Research) in AI & Data Science with academic support of Samtrix and IBM at K.R. Mangalam University, supported academically by Samatrix and IBM, is meticulously structured to offer a wide-ranging and in-depth curriculum. This programme plunges students into the multifaceted and evolving universe of artificial intelligence and data science, showcasing the diverse and continually advancing aspects of these state-of-the-art disciplines in today’s technological age.

    Programme Structure

    Semester 1
    Semester 2
    • Web Designing Using HTML,CSS, Java Script & PHP
    • Basics of Mathematics
    • Clean Coding with Python
    • Essentials of Software Engineering
    • Web Design Lab
    • Clean Coding with Python Lab
    • Essentials of Software Engineering Lab
    • Data Visualization using Power BI
    • Value-Added Course
    • Fundamentals of Object Oriented Programming using C++
    • Discrete Structure
    • Overview of AI, Data Science, Ethics and Foundation of Data Analysis
    • R Programming for Data Science and Data Analytics Lab
    • Object Oriented Programming Lab using C++
    • Overview of AI, Data Science, Ethics and Foundation of Data Analysis Lab
    • Open Elective
    • Value-Added Course
    • Minor Project
    • Summer Internship
    Semester 3
    Semester 4
    • Fundamentals of Data Structures
    • Fundamentals of Java Programming
    • Probabilistic Modelling and Reasoning
    • Fundamentals of Artificial Intelligence
    • Fundamentals of Java Programming Lab
    • Fundamentals of Data Structures Lab
    • Life Skills for Professionals-I
    • Open Elective
    • Value-Added Course
    • Evaluation of Summer Internship
    • Fundamentals of Operating Systems
    • Fundamentals of Database Management Systems
    • Foundation of Machine Learning
    • Fundamentals of Operating System Lab
    • Foundation of Machine Learning Lab
    • Fundamentals of Database Management Systems Lab
    • Life Skills for Professionals-II
    • Open Elective
    • Value-Added Course
    • Minor Project
    • Summer Internship
    Semester 5
    Semester 6
    • Design and Analysis of Algorithms
    • Theory of Automata
    • Introduction to Natural Language Processing
    • Big Data Analysis with Scala and Spark
    • Data Science - Tools and Techniques Lab
    • Design & Analysis of Algorithms Lab
    • Natural Language Processing Lab
    • Big Data Analysis with Scala and Spark Lab
    • Life Skills for Professionals-III
    • Evaluation of Summer Internship
    • Discipline Elective-I
      • Image Processing & Computer Vision OR
      • Introduction to Generative AI OR
      • Transfer Learning
    • Introduction to Computer Organization & Architecture
    • Introduction to Computer Networks
    • Basics of Neural Networks and Deep Learning
    • Discipline Elective-I Lab
      • Image Processing & Computer Vision Lab OR
      • Generative AI Lab OR
      • Transfer Learning Lab
    • Computer Networks Lab
    • Neural Networks and Deep Learning Lab
    • Competitive Coding
    • Minor Project
    Semester 7
    Semester 8
    • Discipline Elective-II
      • Computational Services in The Cloud OR
      • Microsoft Azure Cloud Fundamentals OR
      • Storage and Databases on Cloud OR
      • Application Development and DevOps on Cloud
    • Discipline Elective-III
      • Mobile Application Development using iOS OR
      • DevOps & Automation OR
      • .Net FRAMEWORK OR
      • New Age Programming Languages
    • Discipline Elective-II Lab
      • Computational Services in The Cloud Lab  OR
      • Microsoft Azure Cloud Fundamentals Lab  OR
      • Storage and Databases on Cloud Lab  OR
      • Application Development and DevOps on Cloud Lab
    • Discipline 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 immensely proud of our collaborations with top-tier industry entities like IBM, Punjab National Bank, Flipkart, Axis Bank, Microsoft, Bank of Baroda for our BCA (Hons. with Research) (AI & Data Science) with academic support of Samatrix & IBM These prominent organizations are integral to our campus recruitment programmes, offering our students exceptional career prospects in the fast-expanding domains of AI and Data Science.

    Campus Recruiters
    Placement Assistance
    Highest Package

    Career Options

    Our BCA (Hons. with Research) (AI & Data Science) with academic support of Samatrix & IBM, leads to a multitude of stimulating and influential career paths in the technology sector. Graduates of this programme possess profound theoretical knowledge and hands-on expertise, ideally suited for thriving in the advanced arenas of artificial intelligence and data science. Here are five prominent career trajectories that our graduates can pursue, among various other exciting roles:

    • AI & Data Science Specialist: Excel in crafting and deploying AI-centric algorithms and data science methodologies, playing a pivotal role in the development of smart, data-oriented systems and applications.
    • Advanced Machine Learning Engineer: Concentrate on creating and fine-tuning machine learning models, leveraging data to enhance and adapt algorithmic efficiency and application functionality.
    • Senior Data Analyst: Dive into analyzing extensive datasets to unearth critical insights, employing advanced statistical methods and tools to drive strategic business decisions and planning.

    • AI Research and Development Expert: Participate in innovative AI research, pushing the boundaries of the field, and contributing to the creation of groundbreaking AI technologies and approaches.

    • Strategic Business Intelligence Developer: Merge the realms of data analysis with strategic business insight to design and implement solutions that empower organizations to capitalize on data for improved decision-making and operational efficiency.

    Hear straight from our Students


    I enrolled in KR Mangalam University's BCA (Hons. with Research) program in AI & Data Science with high expectations, and I can confidently say that my experience has exceeded all of them. The academic journey at KR Mangalam is about preparing for a future in technology with the best tools and resources available.


    This program distinguishes itself through its unique combination of theoretical knowledge and hands-on experience. The incorporation of Samatrix and IBM technologies into the curriculum has been game-changing. Samatrix's innovative teaching methodologies ensure that we grasp complex concepts with ease. The practical applications and real-world projects utilizing IBM's cutting-edge tools have provided me with invaluable insights into the world of AI and Data Science.

    Nitesh Maan

    One of the highlights of my academic journey has been the faculty's unwavering support at KR Mangalam University. Professors are mentors who guide us through challenges and encourage critical thinking. The university's interactive sessions, workshops, and seminars have kept me up to date on the latest trends in AI and data science.

    Tejal Yadav

    The collaboration between KR Mangalam University and industry titans such as Samatrix and IBM opens the door to a variety of opportunities. Internships, industry visits, and guest lectures have broadened my perspective and given me a practical understanding of the field.


    • Fundamental Knowledge

      Demonstrate a strong foundation in computer science principles, mathematics, and fundamental concepts necessary for the understanding and application of computing.


    • Problem Solving

      Apply analytical and critical thinking skills to identify, analyze, and solve complex computing problems using appropriate tools, algorithms, and programming languages.


    • Software Development

      Design, develop, and implement software solutions by applying software engineering principles, programming languages, and best practices.


    • Database Management

      Design, implement, and manage databases, ensuring efficient data storage, retrieval, and manipulation using database management systems.


    • Web Technology

      Develop web-based applications and utilize relevant technologies, frameworks, and tools for effective web development and deployment.


    • Network and Security

      Understand network protocols, security mechanisms, and implement secure network configurations to ensure data integrity, confidentiality, and availability.


    • Information Management

      Gather, organize, and analyze information from various sources using appropriate technologies and tools for effective decision-making and problem-solving.


    • Team Collaboration

      Collaborate effectively as a member or leader in multidisciplinary teams, demonstrating effective communication, interpersonal skills, and adaptability to work in diverse professional environments.


    • Ethical and Professional Practices

      Adhere to ethical, legal, and professional standards in computing, recognizing the social and ethical responsibilities associated with the use of technology.


    • Lifelong Learning

      Recognize the need for continuous learning, keep up-to-date with emerging trends in technology, and engage in self-directed learning to adapt to evolving computing paradigms.


    • Industry Relevance

      Apply industry-relevant practices, tools, and technologies to bridge the gap between academia and industry, ensuring the ability to meet industry requirements and contribute effectively to the computing field.


    • Entrepreneurial Mindset

      Identify opportunities, demonstrate innovation, and apply entrepreneurial thinking to create value, solve problems, and contribute to the growth of businesses and society.


    • Data Mastery

      Develop expertise in AI and Data Science through research-oriented learning and gain the ability to apply advanced concepts in practical settings.


    • Design-Driven Data

      Pursue a successful career in AI and Data Science by applying knowledge and skills to industry-related problems or further academic pursuits.


    • Design Revolution

      Engage in lifelong learning and develop innovative solutions in the domain of AI and Data Science using research and problem-solving skills to contribute to the sustainable development of society.


    • Leading Innovation

      Demonstrate leadership, teamwork, management, ethical and social responsibility, and communication skills with a commitment to lifelong learning.


    • Data-Driven Design

      Demonstrate a strong foundation in the theoretical concepts and practical applications of AI and Data Science, including machine learning, data analysis, and data visualization.


    • Innovative Solutions

      Develop critical thinking, problem-solving, and research skills through hands-on projects, independent study, and engagement in research activities related to AI and Data Science.


    • Creative Mastery

      Apply knowledge and skills to solve industry-related problems through internships, capstone projects, and experiential learning opportunities in collaboration with industry partners.


    • Innovative Collaboration

      Demonstrate leadership, teamwork, management, ethical and social responsibility, and communication skills by engaging in team-based projects, leadership activities, and community outreach initiatives related to AI and Data Science.


    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

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

    • Concessional rate of interest.

    • Speedy disposal of loan applications

    • Availability of the loan across the country

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

    • Repayment tenure ranging from 5-15 years.

    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

    Certainly, the programme incorporates practical learning through laboratory sessions, AI and data science projects, internships, and research activities, providing students with hands-on experience in these specialized fields.
    Graduates can opt for higher studies such as M.Sc. in AI & Data Science, MBA with a focus on Data Analytics, or other advanced degrees in related areas.

    The university supports research endeavors by offering access to state-of-the-art AI and data science labs, modern software tools, mentorship from experienced faculty, and opportunities to participate in relevant conferences and workshops.

    A blend of teaching approaches is used, including interactive lectures, seminars, lab work, group discussions, and project-based learning, ensuring students gain comprehensive knowledge of both the theoretical and applied aspects of AI and data science.

    The curriculum is frequently updated to reflect new advancements in AI and data science, incorporating emerging technologies like machine learning, neural networks, and big data analytics to prepare students for the evolving tech industry.

    Students are encouraged to get involved in extracurricular activities such as AI & Data Science clubs, coding hackathons, targeted workshops, and seminars to enhance their learning and apply their skills in practical scenarios.
    Yes, students are strongly encouraged to participate in both national and international conferences, seminars, and workshops focused on AI & Data Science, providing them with valuable industry insights and networking opportunities.

    Commence Your Journey
    in 6 Simple Steps

    Commence Your Journey in 6 Simple Steps

    Start your Application

    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