B.Tech. CSE (Data Science) with Academic Support of IBM

Data Science for Tomorrow’s World Powered by IBM’s Expertise

    OVERVIEW

    Beyond the core academic syllabus, the B.Tech. CSE (Data Science) programme is designed to foster innovation and critical thinking, preparing students for the challenges and opportunities of the data-driven future. The partnership with IBM brings additional depth to the course, with access to advanced tools, platforms, and case studies directly from the forefront of the data science industry.

    Programme Highlights

    • Specifically designed curriculum in consultation with industry insiders and experts
    • Consistent mentoring by acclaimed academicians and top industry experts
    • Learn and Grow with IBM Experts from Day One Globally Valid Digital Certifications by IBM
    • Working at IBM Big Data Analytics Lab for real-world exposure to industry-relevant case studies
    • Project-based and skill-based learning to enhance students’ knowledge

    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.

    Why choose SOET?

    Empowering Minds in Data Science

    Our faculty, highly qualified and dedicated, leads students through a transformative journey in Data Science and Machine Learning.

    Industry-Embedded Expertise in Data Science

    Our curriculum seamlessly integrates Data Science and Machine Learning insights, featuring collaborations with IBM & certifications led by industry experts to ensure students are industry-ready.

    Global Acumen in Data Science

    Our meticulously crafted curriculum amalgamates top global universities’ best practices, leveraging the vast knowledge of the Open-Source Society University to offer students a world-class education in Data Science and Machine Learning.

    Shaping Data Science Visionaries

    Our curriculum emphasizes hands-on learning through project-based activities, field projects, research endeavors, internships, Competitive Coding, and continuous, comprehensive evaluation, molding students into adept practitioners of Data Science and Machine Learning.

    Data-Driven Innovation

    Providing opportunities for Industrial, R&D, or Start-up projects in the final year and compulsory industry internships, ensuring students graduate with practical experience for real-world impact in Data Science and Machine Learning.

    Discovering the Core of

    Data Science Innovation

    The B.Tech. in Computer Science and Engineering with a specialization in Data Science at K.R. Mangalam University, enriched academically by IBM’s support, is thoughtfully designed to offer an all-encompassing and varied curriculum. This programme plunges students into the intricate and expansive world of data science, reflecting the multifaceted and ever-evolving aspects of today’s data-driven challenges and technological progressions.

    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
    • Data Analysis with Tableau & KNIME
    • Value-Added Course
    • Linear Algebra and Ordinary Differential Equations
    • Data Visualization using Python
    • Engineering Chemistry / Engineering Physics
    • Basics of Electrical & Electronics Engineering
    • Data Visualization using Python Lab
    • Engineering Chemistry Lab/Engineering Physics Lab
    • Basics of Electrical & Electronics Engineering Lab
    • Open Elective
    • Value-Added Course
    • Minor Project
    • Summer Internship
    Semester 3
    Semester 4
    • Discrete Mathematics
    • Data Structures
    • Java Programming
    • R Programming for Data Science and Data Analytics Lab
    • Data Structures Lab
    • Java Programming Lab
    • Life Skills for Professionals-I
    • Value-Added Course
    • Open Elective
    • Evaluation of Summer Internship
    • Probability & Statistics
    • Analysis and Design of Algorithms
    • Database Management Systems
    • Introduction to Data Science
    • Analysis and Design of Algorithms Lab
    • Database Management Systems Lab
    • Life Skills for Professionals-II
    • Data Science Lab
    • Open Elective
    • Minor Project
    • Summer Internship
    Semester 5
    Semester 6
    • Theory of Computation
    • Operating Systems
    • Machine Learning with Python
    • Operating System Lab
    • Machine Learning with Python Lab
    • Life Skills for Professionals-III
    • Software Engineering
    • Value-Added Course
    • Evaluation of Summer Internship
    • Computer Organization & Architecture
    • Discipline Specific Elective-I
      • Natural Language Processing OR
      • Image Processing & Computer Vision OR
      • Introduction to Generative AI OR
      • Transfer Learning
    • Computer Networks
    • Introduction of Neural Network and Deep Learning
    • Discipline Specific Elective-I Lab
      • Natural Language Processing Lab OR
      • Image Processing & Computer Vision Lab OR
      • Generative AI Lab OR
      • Transfer Learning Lab
    • Computer Networks Lab
    • Introduction to Neural Networks & Deep Learning Lab
    • Competitive Coding Lab
    • Minor Project
    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
    • Minor Project-III

    *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 proud to partner with esteemed industry giants such as Amazon, Flipkart, Cognizant, Wipro, IBM, Infosys Deloitte, Walmart, Genpact, Accenture, Microsoft, and Reliance. for our B.Tech. CSE in Data Science programme, academically supported by IBM. These renowned companies are integral to our campus recruitment efforts, offering exceptional career opportunities to our students in the burgeoning field of Data Science.

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    Campus Recruiters
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    Placement Assistance
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    Highest Package

    Career Options

    Our B.Tech. in Computer Science and Engineering with a specialization in Data Science, academically supported by IBM, leads to a host of exciting and diverse career paths in the tech industry. Graduates of this programme gain in-depth knowledge and practical skills, equipping them to thrive in the fast-paced world of data science. Here are five prominent career directions that our graduates can explore, among numerous other opportunities:

    • Data Science Developer: Specialize in developing innovative data science solutions, playing a pivotal role in creating algorithms and systems that harness the power of data for insightful decision-making.
    • Data Analyst: Master the art of analyzing and interpreting complex data sets, using advanced analytics tools and techniques to uncover trends, make predictions, and inform business strategies.
    • Machine Learning Engineer: Concentrate on designing and implementing machine learning models, utilizing a deep understanding of algorithms to solve real-world problems and create intelligent applications.
    • Business Intelligence Analyst: Oversee and manage an organization’s data analytics needs, ensuring effective data use for strategic decision-making and operational insights.
    • Data Science Consultant: Act as a data science expert or consultant, applying your skills to help businesses understand and leverage their data, guiding them on the path to data-driven transformation.

    Hear straight from our Students

    Megha Sharma

    It's been an incredible journey studying B.Tech CSE (Data Science) at KR Mangalam University." The academic support provided by IBM courses has truly distinguished this program. The practical experience with IBM technologies has been priceless. The university's partnership with IBM has provided access to a wealth of resources and real-world applications, enhancing our learning experience and making it more comprehensive and industry-relevant. I feel well-prepared for the future, thanks to KR Mangalam University's cutting-edge education and IBM's support.

    Raghav Mehra

    Enrolling in B.Tech CSE (Data Science) at KR Mangalam University was one of the best decisions I've ever made." IBM's academic support has been a game changer. The courses, developed in collaboration with IBM, provide an ideal balance of theoretical knowledge and practical skills. The university's commitment to staying at the forefront of technology, combined with IBM's expertise, has resulted in a learning environment that reflects industry demands. I'm confident that the skills I've gained will give me an advantage in the job market.

    Amit Kumar

    As a B.Tech CSE (Data Science) student at KR Mangalam University, IBM's academic support has been invaluable in shaping my educational experience." The courses developed in collaboration with IBM provide a unique perspective on the world of data science and technology. The university's commitment to providing excellent education, combined with IBM's industry-leading expertise, has equipped me with the ability to think critically and solve real-world problems. I am grateful for the opportunity to learn from the best in the industry and am optimistic about my future in technology.

    Chirag Sharma

    Choosing B.Tech CSE (Data Science) at KR Mangalam University was a life-changing experience." This program's academic support from IBM has been a standout feature. Because IBM courses were integrated into our curriculum, I was able to gain practical skills that are directly applicable in the field. The IBM resources, combined with the guidance of the university faculty, have created a conducive learning environment. I appreciate the emphasis on staying up to date on industry trends, which ensures that I am well-prepared for the dynamic field of data science.

    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

    • Data Mastery

      To prepare graduates to become proficient data scientists by providing a comprehensive understanding of data science concepts and techniques, including statistical analysis, machine learning, and data mining.

      01

    • Analytic Expertise

      To prepare graduates for successful careers in the field of data science by providing hands-on experience in using industry-standard tools and latest technologies.

      02

    • Data Innovation

      To develop graduates' critical thinking, problem-solving, and research skills to enable them to apply data science techniques to solve real-world problems and contribute to scientific research in the field of data science.

      03

    • Ethical Leadership

      To nurture graduates' personal and professional growth by instilling ethical values, leadership, effective communication, teamwork, and lifelong learning habits, to prepare them for leadership roles in the field of data science.

      04

    • Data Exploration

      Demonstrate a comprehensive understanding of data science concepts and techniques, including statistical analysis, machine learning, and data mining.

      01

    • Analytics Evolution

      Apply industry-standard tools and the latest technologies in data science to solve practical problems and perform data analysis effectively.

      02

    • Predictive Innovation

      Utilize critical thinking and problem-solving skills to apply data science techniques in solving real-world problems and contribute to scientific research in the field of data science.

      03

    • Insightful Leadership

      Demonstrate ethical values, effective communication, teamwork, leadership abilities, and a commitment to lifelong learning in the context of data science, preparing graduates for leadership roles in the field.

      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

    • 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

    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

    Yes, the Data Science specialization is enriched with hands-on experiences, including lab work, data analytics projects, internships, and research initiatives, providing students with practical skills in the latest data science technologies and methodologies.

    Graduates can pursue advanced education such as M.Tech in Data Science, MBA in Data Analytics, or other specialized postgraduate courses in data science and related areas.

    The university supports data science research by offering access to modern data analytics labs and tools, faculty guidance, and encouraging participation in data science conferences and workshops, in partnership with IBM.
    The programme utilizes various teaching methods, including data science-focused lectures, seminars, practical laboratory work, team projects, and interactive learning experiences, ensuring a thorough understanding of data science principles and practices.

    The curriculum is continually updated to include the latest developments in data science, aligning with current industry trends and advancements, particularly through our collaboration with IBM.

    Students are encouraged to get involved in data science clubs, participate in data analysis competitions, attend specialized workshops, and join data science seminars, enhancing their practical skills and real-world application of data science knowledge.

    Definitely, students are encouraged to participate in both national and international data science conferences and workshops, giving them exposure to global data science trends and the opportunity to network with industry experts.

    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

    B.TECH CSE (DATA SCIENCE) ACADEMIC SUPPORT OF IBM