B.Sc. (Hons.) Data Science

Transform Data into Insights

    OVERVIEW

    To train talented individuals who can navigate through the complexities of the future, KRMU curated the B.Sc. (Hons.) Data Science programme. The programme ensures that graduates are ready to meet the demands of the global technological industries with the perfect blend of technical and theoretical training. The B.Sc. (Hons.) Data Science programme prepares students to become experts in fundamental computer software subjects like operating systems, machine learning, programming, etc. The programme aims to prepare professionals familiar with current and advanced technological tools to carry out investigation, analysis and synthesis by identifying various computer–oriented solutions. 

    Programme Highlights

    • The curriculum is specifically designed in consultation with industry insiders and experts
    • Gain real-world experience from dedicated industry specialists.
    • Consistent mentoring by acclaimed academicians and top industry experts
    • Highly sophisticated laboratories equipped with cutting-edge tech apparatus and softwares
    • Engage in project-based learning that incorporates real-world Data Science Challenges
    • Participate in National Level Hackathon, International Conference, field projects, workshops, and various tech competitions.
    • Ensuring absolute preparedness for successful career progression
    • Receive Training in our dedicated placement cell and get 100% placement assistance
    • Global Exposure: International paid visit to attend 2 weeks of summer school at a Prestigious European university
    • Provision of up to 100% Scholarship

    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

    The strong foundations of the programme ensure that our students are ready to face the dynamic landscape of data sciences. The programme seamlessly blends theory with practical learning to offer the best learning pathway that focuses on the essentials of data science principles and the latest innovations in the industry. The B.Sc. (Hons.) Data Science programme curriculum focuses on data analysis, optimisation, predictions, and statistical models, which act as a bridge between our students and their successful, bright futures.

    Programme Structure

    Semester 1
    Semester 2
    • Mathematical Foundations for Computer Science
    • Web Development Essentials
    • Foundations of Programming using Python
    • Foundations of Computing and Career Readiness
    • Analytics for Decision Making
    • Introduction to Design Thinking and Prototyping
    • VAC-I (Environmental Studies & Disaster Management)
    • Basics of Data Structures
    • Specializaton Course-I (Data Science & ML: Concepts to Applications)
    • Responsive and Dynamic Web Design
    • Open Elective-I
    • Verbal Ability
    • Operating System Fundamentals
    • Minor Project-I
    Semester 3
    Semester 4
    • Principles of Algorithm Design and Analysis
    • Building Scalable Web Backends
    • Specializaton Course-II (Machine Learning for Advanced Applications)
    • Open Elective-II
    • Communication & Personality Development
    • Summer Internship-I (Assessment)
    • Competitive Coding - I
    • Community Service
    • VAC-II
    • Fundamentals of Java and Object-Oriented Design
    • Introduction to Database Management Systems
    • Specializaton Course-III (Deployment-Ready ML Models and Pipelines)
    • Open Elective-III
    • Arithmetic and Reasoning Skills
    • Minor Project-II
    • Competitive Coding - II
    • Club/Society
    • VAC-III
    Semester 5
    Semester 6
    • Specializaton Course-IV (Practical Applications of Generative AI)
    • Essentials of Software Engineering
    • Competitive Coding - III
    • Summer Internship-II (Assessment)
    • Comprehensive Placement Preparation
    • Major Project-I
    • MOOC (Swayam/ NPTEL/AICTE’s ELIS )
    • Industry Internship
    • Major Project-II
    • MOOC (Swayam/ NPTEL/AICTE’s ELIS )

    Connecting Talent to Dream Careers

    K.R. Mangalam University has collaborated with prominent industry leaders like Accenture, Amazon, Deloitte, IBM, etc. These partnerships offer unparalleled career opportunities to students. We ensure that our graduates are well-prepared to make a significant change in society and secure notable roles in leading organisations.

    700+Campus Recruiters
    56.6 LPAHighest Package
    100%Placement Assistance
    Oracle
    HCL
    Accenture
    IBM Logo
    Amazon
    Deloitte

    Career Options

    The B.Sc. (Hons.) Data Science programme opens doors to a wide spectrum of career options for our students. Through a focused curriculum that imparts detailed knowledge of data sciences and its dynamics, our students, over the years, have secured some of the most well-paid jobs in the industry. Here are some of the most popular career pathways that B.Sc. (Hons.) Data Science students choose:

    • Data Scientist: Data Scientists work with data sets and analyse the complexities of data structures to make strategic decisions.
    • Machine Learning Engineer: These professionals work with artificial intelligence models and machine learning technologies to improve and innovate technologies of the future.
    • Business Intelligence Analyst: A Business Intelligence Analyst analyses business data structures and analytics to help businesses optimise their growth and become more efficient.
    • Data Engineer: A Data Engineer is responsible to maintain data architecture and systems to ensure data integrity and accessibility through regular maintenance.
    • Research Scientist: Research Scientists help in developing and researching new data structures and technologies to go beyond the current technological boundaries and find new solutions.

    Hear straight from our Students

    Dev Yadav

    I entered K.R. Mangalam University's B.Sc. (Hons.) Data Science programme 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 K.R. 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 K.R. 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

    • Core Competencies in Engineering

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

      01

    • Modern tool usage

      Create, select, and apply appropriate techniques, resources, and modern IT tools including prediction and modeling to complex computer science 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 computer science practice.

      04

    • Effective Communication and Team Collaboration

      Excel in both individual and team roles within diverse and multidisciplinary settings, while communicating complex computer science 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 contexts.

      06

    • Life-long learning

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

      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 core concepts, theories, tools, techniques, and methodologies of Data Science.

      01

    • Applying Data Science principles to solve real-world data challenges.

      02

    • Analysing data contexts, problems, and issues using appropriate methodologies.

      03

    • Evaluating alternative data solutions and making informed decisions to optimize results.

      04

    • Designing and developing innovative data-driven solutions to address complex problems.

      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
    finz

    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

    Strong analytical skills, a good grasp of mathematics and statistics, familiarity with programming languages, and an interest in working with data are some of the essential skills required to succeed in the B.Sc. (Hons.) Data Science programme.

    The average salary package of a B.Sc. (Hons.) Data Science graduate typically ranges from Rs. 8 lakh per annum to Rs. 20 lakh per annum.

    Yes, various universities and colleges offer B.Sc. (Hons.) Data Science programme via online or distance education modes.

    Studying a B.Sc. (Hons.) in Data Science equips one with in-demand skills across various industries, enhancing one’s career prospects and flexibility. The programme combines theoretical knowledge with practical experience, allowing one to tackle real-world problems and make a meaningful impact.

    The programme integrates different teaching methods like interactive lectures, seminars, lab sessions, group projects, and healthy discussions to further strengthen the concept of data sciences in our students.

    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.Sc. (HONS.) Data Science