BCA (AI & Data Science)

with academic support of Samatrix & IBM (3 Years)

“Where Data Meets Innovation Crafting Experts with Samatrix & IBM”

    OVERVIEW

    Our BCA (AI & Data Science) with academic support of Samatrix & IBM offers an unparalleled educational journey into the realms of artificial intelligence and data science. The BCA in AI & Data Science program goes beyond traditional learning methods. We incorporate practical workshops, hands-on lab sessions, and project-based learning to ensure that students acquire the skills necessary to thrive in the professional world.

    Learn with

    International Business Machines (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 guest lectures by Industry Experts

    The curriculum covers all important concepts of supervised learning

    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.

    Unlocking the Secrets of

    AI & Data Science

    The BCA (AI & Data Science) with academic support of Samatrix & IBM at K.R. Mangalam University is thoughtfully designed to provide a comprehensive and multifaceted curriculum. This program immerses students in the complex and dynamic world of artificial intelligence and data science, capturing the varied and ever-changing facets of these cutting-edge fields in the digital era.

    Program 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
    • Environmental Studies & Disaster Management (Online Moodle)
    • Essentials of Software Engineering Lab
    • Data Visualization using Power BI
    • 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 -1
    • Extention Activities(community engagement service)
    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
    • Open Elective -II
    • VAC III
    • Life Skills for Professionals-I
    • Summer Internship/Project
    • 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
    • Open Elective -III
    • Life Skills for Professionals-II
    • VAC IV
    • Minor project-I
    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
    • Life Skills for Professionals-III
    • Design & Analysis of Algorithms Lab
    • Natural Language Processing Lab
    • Big Data Analysis with Scala and Spark Lab
    • Summer Internship /Project
    • Department Elective I
    • Introduction to Computer Organization & Architecture
    • Introduction to Computer Networks
    • Basics of Neural Networks and Deep Learning
    • Department Elective I Lab
    • Computer Networks Lab
    • Neural Networks and Deep Learning Lab
    • Competitive Coding
    • Minor Project-II

    Connecting Talent to Dream Careers

    At KRMU, we take great pride in our partnerships with industry leaders such as IBM, Punjab National Bank, Flipkart, Axis Bank, Microsoft, Bank of Baroda for our BCA in AI & Data Science program, academically reinforced by Samatrix and IBM. These esteemed organizations play a crucial role in our campus placement initiatives, providing our students with outstanding career opportunities in the rapidly growing fields of AI and Data Science.

    0+
    Campus Recruiters
    0%
    Placement Assistance
    0LPA
    Highest Package

    Career Options

    Our BCA in AI & Data Science, with the academic support of Samatrix and IBM, opens doors to a wide array of exciting and impactful career opportunities in the tech world. Graduates from this program are armed with a deep theoretical understanding and practical skills, perfectly positioning them for success in the fields of artificial intelligence and data science. Below are five key career paths that our graduates can embark on, among many other possibilities:

    • AI & Data Science Developer: Specialize in developing AI-driven algorithms and data science solutions, playing a crucial role in advancing intelligent systems and data-driven applications.
    • Machine Learning Engineer: Focus on designing and implementing machine learning models, using data to train algorithms that improve and evolve over time, enhancing the capabilities of various applications.
    • Data Analyst: Analyze large datasets to extract meaningful insights, using statistical tools and techniques to inform business decisions and strategy.
    • AI Research Scientist: Engage in cutting-edge research in AI, exploring new frontiers in the field, and contributing to the development of innovative AI technologies.

    • Business Intelligence (BI) Developer: Combine data analytics with business acumen to develop strategies and systems that help businesses harness the power of data to improve decision-making and efficiency.

    Hear straight from our Students

    Bobby Thakur BCA (AI & Data Science)

    I strongly suggest K.R. Mangalam University's BCA (AI & Data Science) program to eager students seeking a transformative educational experience focused on practical applications and industry relevance. Collaboration with Samatrix and IBM has elevated the program significantly, ensuring that students are well-prepared for success in the dynamic and competitive field of AI and Data Science.

    Kanika BCA (AI & Data Science)

    I'm writing to express my heartfelt gratitude and happiness with the BCA (AI & Data Science) program at K.R. Mangalam University, which has been enhanced by the exceptional academic support offered by Samatrix and IBM.

    Nandini Chauhan BCA (AI & Data Science)

    As a student in the BCA (AI & Data Science) program, I am well-prepared for the challenges of the rapidly changing technological landscape. A robust curriculum, dedicated faculty, and the support of industry leaders like Samatrix and IBM have provided me with the knowledge and skills required to excel in the field of AI and Data Science.

    Ritu Mishra BCA (AI & Data Science)

    Furthermore, the collaboration with IBM provides the program with a wealth of resources and industry insights. We had the opportunity to learn from industry experts through IBM-organised workshops, seminars, and webinars. Exposure to IBM's tools and technologies has provided us with a competitive advantage as well as a deeper understanding of industry best practices.

    Programme
    Outcomes

    • Fundamental Knowledge

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

      01

    • Problem Solving

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

      02

    • Software Development

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

      03

    • Database Management

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

      04

    • Web Technology

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

      05

    • Network and Security

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

      06

    • Information Management

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

      07

    • 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.

      08

    • 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.

      09

    • 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.

      10

    • 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.

      11

    • Entrepreneurial Mindset

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

      12

    • AI Mastery

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

      01

    • Intelligent Systems

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

      02

    • Innovation

      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.

      03

    • Collaborative Excellence

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

      04

    • Intelligent Insights

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

      01

    • Intelligent Systems

      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.

      02

    • Industry Integration

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

      03

    • AI Leadership

      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.

      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.

    • 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.

    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

    Definitely, the program includes practical learning elements such as laboratory work, AI and data science project development, internships, and research projects, giving students hands-on experience in these specialized fields.
    After graduating, students can explore higher education options like M.Sc. in AI & Data Science, MBA with a focus on Technology Management, or other related postgraduate degrees.
    The university encourages research among students by providing access to modern AI and data science labs, advanced software tools, and guidance from experienced faculty, along with support for attending tech conferences and workshops.
    The program incorporates diverse teaching methods, including lectures, seminars, practical lab sessions, group discussions, and project-based learning, ensuring comprehensive coverage of both theoretical and applied aspects of AI and Data Science.
    The curriculum is consistently updated to include the latest in AI and Data Science, such as machine learning, deep learning, and big data analytics, keeping pace with the fast-evolving tech industry.
    Yes, students are motivated to participate in activities like AI and Data Science clubs, hackathons, targeted workshops, and seminars, enhancing their practical knowledge and applying their skills.
    Students are highly encouraged to take part in national and international AI & Data Science conferences, seminars, and workshops, gaining exposure to global trends and networking with professionals in the industry.

    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

    BCA (AI & DATA SCIENCE) WITH ACADEMIC SUPPORT OF SAMATRIX & IBM