B.Sc. (HONS.) DATA SCIENCE

“Transform Data into Insights”

    OVERVIEW

    In an era where data is pivotal, our B.Sc. (Hons) Data Science program stands as a beacon of excellence, crafted to align with the evolving demands of the global industry. This program is a harmonious blend of in-depth theoretical knowledge and hands-on practical experience. It is meticulously designed to equip students with a profound understanding of data analysis, statistical methods, and predictive modeling.

    B.Sc. (HONS.) DATA SCIENCE

    Why choose SOET?

    Data-Driven Insight

    Data-Driven Insights:

    • Dive into the world of data analytics, machine learning, and statistical modeling.
    • Learn to extract meaningful insights from large datasets, a crucial skill in today’s data-driven world.
    Practical Data Applications

    Practical Data Applications:

    • Apply data science techniques to solve real-world problems in various domains.
    • Gain proficiency in tools and technologies used in the data science industry.
    Industry-Relevant Skills

    Industry-Relevant Skills:

    • Acquire skills highly sought after by industries looking for professionals with expertise in data analysis and interpretation.
    • Prepare for a career at the forefront of the data revolution.

    Unveiling the Foundations of

    Data Science Excellence

    Our curriculum is crafted to mirror the dynamic nature of the data science field, much like the ever-evolving digital landscapes our graduates will encounter. It encompasses a fusion of essential data science principles and the latest innovations in the field, guaranteeing a well-rounded and future-focused educational journey.

    Program Structure

    Semester 1
    Semester 2
    • Fundamentals of Web Technologies
    • Matlab Programming
    • Linux Environment Lab
    • Introduction to Computer Science and Programming in Python
    • Fundamentals of Web Technologies Lab
    • Matlab Programming Lab
    • Computer Science and Programming in Python lab
    • Environmental Studies & Disaster Management (Online Moodle)
    • Fundamentals of Software Engineering
    • Essentials of Data Science
    • Introduction to Discrete Structures
    • Basics of Operating Systems
    • Concepts of Object Oriented Programming Using C++
    • Data Science lab
    • Concepts of Object Oriented Programming Using C++ Lab
    • Basics of Operating Systems Lab
    • Extention Activities(community engagement service)
    • Open Elective-I
    Semester 3
    Semester 4
    • Introduction to Data Structures
    • Fundamentals of Machine Learning
    • Basics of Probability & Statistics
    • Introduction to Java Programming
    • Life Skills for Professionals-I
    • Introduction to Java Programming Lab
    • Introduction to Data Structures Lab
    • Machine Learning Lab
    • VAC -3
    • Summer Internship/Project-I
    • Fundamentals of Algorithm Design & Analysis
    • Introduction to Database Management Systems
    • Introduction to Computer Networks
    • Introduction to Database Management Systems Lab
    • Fundamentals of Algorithm Design & Analysis Lab
    • Introduction to Computer Networks Lab
    • Life Skills for Professionals-II
    • Minor Project
    • Competitive Coding Lab
    • Open Elective-II
    Semester 5
    Semester 6
    • Computer Organization and Architecture
    • Natural language processing using Python
    • Department Elective -I
    • Department Elective -I Lab
    • Department Elective -II
    • Department Elective -II lab
    • Natural language Processing Lab
    • Summer Internship/Project
    • Life Skills for Professionals-III
    • Major Project/Industrial Training

    Connecting Talent to Dream Careers

    K.R. Mangalam University has a promising association and collaboration with various industry giants like Infosys, Wipro, TCS, Accenture, Genpact, and many more to offer students a chance to get industry exposure and get a secured position in the market and earn a good salary package.

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    Placement Assistance
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    Highest Package

    Career Options

    Our B.Sc (Hons) Data Science program offers a pathway to a diverse range of exciting career opportunities within the data-driven tech industry. Graduates of this program are well-prepared with the knowledge and skills to thrive in various dynamic fields. Below, we highlight five key career paths, while noting that there are numerous other thrilling opportunities available:

    • Data Scientist: Excel in the art of analyzing complex data sets to extract valuable insights that drive decision-making and strategic planning.
    • Machine Learning Engineer: Take a leading role in the realms of artificial intelligence and machine learning, contributing to the development of innovative technologies that shape the future.
    • Business Intelligence Analyst: Provide expert guidance and solutions in data analytics, helping businesses harness data for growth and efficiency.
    • Data Engineer: Specialize in the design and maintenance of data architecture and systems, ensuring data integrity and accessibility.
    • Research Scientist: Engage in cutting-edge research in data science, pushing the boundaries of the field, and contributing to innovative data-driven solutions.

    Hear straight from our Students

    Dev Yadav

    I entered K.R. Mangalam University's B.Sc. (Hons.) Data Science program with high expectations, and I can confidently say that my experience has exceeded them in every way. The curriculum is not only well-structured, but it is also extremely relevant to the industry's current demands.

    Purvi Singhal

    The faculty at KR Mangalam University is exceptional, with professors who are not only knowledgeable but also enthusiastic about their subjects. They go above and beyond to ensure that students understand the complexities of data science, fusing theoretical concepts with practical applications. The hands-on projects and real-world case studies have been invaluable in honing my skills and preparing me for the challenges of the rapidly evolving field.

    Mayank Kanaujia

    Extracurricular activities and support services reflect the university's commitment to holistic development. The career counseling and placement assistance have been invaluable in guiding me toward my professional goals. The university's reputation has led to internship and placement opportunities with leading data science companies.

    Tanishq Sharma

    Finally, studying B.Sc. (Hons.) Data Science at KR Mangalam University has been a life-changing experience for me. A robust curriculum, dedicated faculty, cutting-edge facilities, and a focus on holistic development have all prepared me not only academically but also personally and professionally. I am confident that the skills and knowledge I have gained here will lay a solid foundation for a successful career in the fast-paced field of data science.

    Programme
    Outcomes

    • Computational Knowledge:

      Demonstrate understanding and apply foundational mathematical concepts, computing principles, and domain knowledge to conceptualize computing models that address defined problems.

      01

    • Problem Analysis:

      Possess the ability to identify, critically analyze, and formulate complex computing problems, leveraging fundamental principles from computer science and relevant application domains.

      02

    • Solution Design and Development:

      Transform intricate business scenarios and contemporary issues into problem statements, investigate and comprehend them, and propose comprehensive and integrated solutions using cutting-edge technologies.

      03

    • Effective Tool Utilization:

      Select and proficiently employ contemporary computing tools, techniques, and skills necessary for developing innovative software solutions.

      04

    • Professional Ethics:

      Apply and uphold professional ethics and cybersecurity regulations within a global economic environment, ensuring responsible and ethical computing practices.

      05

    • Lifelong Learning:

      Recognize the necessity for continuous learning and cultivate the ability to actively engage in professional development as a computing professional.

      06

    • Project Management:

      Possess the competence to understand and apply management and computing principles in order to successfully manage projects in multidisciplinary environments.

      07

    • Proficient Communication:

      Demonstrate effective communication skills, both within the computing community and with society at large, by comprehending and producing clear and impactful documentation and presentations.

      08

    • Individual and team work:

      Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

      09

    • Innovation and Entrepreneurship:

      PO10. Innovation and Entrepreneurship:

      10

    • Develop a strong foundation in data science theory, concepts, and methodologies, and apply them to solve real-world problems in various domains.

      01

    • Pursue a career in data science or related fields such as business intelligence, machine learning, artificial intelligence, data analytics, or data engineering, among others.

      02

    • Continuously upgrade their skills and knowledge in data science through lifelong learning, research, and development of innovative data-driven solutions that contribute to society's sustainable growth.

      03

    • Demonstrate leadership, teamwork, ethical, and social responsibilities with excellent communication skills in the data science profession, working collaboratively and effectively in diverse and multicultural environments.

      04

    • Develop a strong foundation in data science theory, concepts, and methodologies, and apply them to solve real-world problems in various domains.

      01

    • Pursue a career in data science or related fields such as business intelligence, machine learning, artificial intelligence, data analytics, or data engineering, among others.

      02

    • Continuously upgrade their skills and knowledge in data science through lifelong learning, research, and development of innovative data-driven solutions that contribute to society's sustainable growth.

      03

    • Demonstrate leadership, teamwork, ethical, and social responsibilities with excellent communication skills in the data science profession, working collaboratively and effectively in diverse and multicultural environments.

      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

    Certainly, the program incorporates practical learning through hands-on projects, laboratory work, internships, and research assignments, providing students with valuable hands-on experience in the field of data science.
    Graduates have the opportunity to pursue advanced studies such as M.Sc in Data Science, MBA in Data Analytics, or other specialized postgraduate courses in the data science and analytics domain.
    The university actively supports student research by granting access to advanced data science labs, analytical tools, faculty mentorship, and by encouraging participation in data science conferences and workshops.
    The program employs a diverse range of teaching methods, including lectures, seminars, hands-on lab sessions, collaborative discussions, and project-based learning, ensuring a comprehensive understanding of both theoretical and practical aspects of data science.
    The curriculum is regularly updated to incorporate the latest developments in data science, including cutting-edge techniques and technologies, to prepare students for the ever-evolving field of data science.
    Students are encouraged to participate in extracurricular activities such as data science clubs, data hackathons, workshops, and seminars, providing them with opportunities to apply their knowledge and skills in practical scenarios.
    Absolutely, students are actively encouraged to engage in various national and international data science conferences, seminars, and workshops, enabling them to stay updated on the latest trends and network with industry professionals in the data science field.

    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.Sc. (HONS.) Data Science