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

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

    OVERVIEW

    The B.Tech. CSE (Data Science) at K.R. Mangalam University is a four-year undergraduate programme offered with the academic support of IBM. This programme is meticulously designed to impart a balanced combination of knowledge in Computer and Data Science. During this programme, students gain deeper insight into core concepts of Data Science and access to advanced tools. We believe in nurturing students with crucial skills in programming, data visualisation, computing, and communication. This helps students tackle real-life challenges and make a career in today’s data-driven world. The curriculum of B.Tech. CSE (Data Science) includes advanced analytics and artificial intelligence (AI) components, empowering students to harness AI-driven insights for applications in academia, engineering, cybersecurity, analytics, marketing, and more. 

    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
    • Highly sophisticated laboratories equipped with cutting-edge tech apparatus and softwares
    • Entrepreneurship and Incubation Center and Design Thinking Lab, designed to nurture innovative startup ideas
    • Global Exposure: International paid visit to attend 2 weeks of summer school at a Prestigious European university
    • Provision of up to 100% Scholarship
    • Guaranteed placement and internship assistance.

    Learn with IBM

    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

    B.Tech CSE Data Science programme curriculum is crafted to empower students with well-rounded skill sets covering both front-end and back-end development. This programme helps graduates design, develop, manage, and maintain applications to meet industry needs, which enhances their proficiency in user experience design and logic comprehension for complex business applications.

    Programme Structure

    Semester 1
    Semester 2
    • Computational Mathematics - I
    • Programming for Problem Solving Using Python
    • Web Dev -I (HTML,CSS, JS Basics)
    • Engineering Physics/Engineering Chemistry
    • Computer Science Fundamentals & Career Pathways
    • Design Thinking & Prototyping / Maker Lab: Tinkering with Technology
    • Environmental Studies & Disaster Management
    • Computational Mathematics - II
    • Data Structures
    • Web Dev -II (Advanced JS & React)
    • Engineering Chemistry/Engineering Physics
    • Minor Project-I
    • Maker Lab: Tinkering with Technology/Design Thinking & Prototyping
    • *Open Elective-I
    Semester 3
    Semester 4
    • Nand to Tetris-I
    • Specialization Course-I
    • Web Dev -III (Node.js & Express Backend)
    • Database Management Systems
    • Design & Analysis of Algorithms
    • Verbal Ability
    • Competitive Coding - I
    • Summer Internship-I
    • Community Service
    • Nand to Tetris-II
    • Specialization Course-II
    • Cloud Computing & DevOps
    • Object-Oriented Programming with Java
    • *Open Elective-II
    • Communication & Personality Development
    • Competitive Coding - II
    • Minor Project-II
    • Club/Society
    Semester 5
    Semester 6
    • Specialization Course-III
    • Specialization Course-IV
    • Operating Systems
    • Cross-Platform Mobile Development
    • Arithmetic and Reasoning
    • Competitive Coding - III
    • Summer Internship-II (Assessment)
    • Value Added Course (VAC)
    • Specialization Course-V
    • Specialization Course-VI
    • Modern Software Engineering & Agile Practices
    • Computer Networks
    • Comprehensive Placement Preparation
    • Competitive Coding - IV
    • Minor Project-III
    • Value Added Course (VAC)
    Semester 7
    Semester 8

    • Specialization Course-VII

    • System Design

    • Major Project-I

    • Summer Internship-III (Assessment)

    • MOOC (Swayam/ NPTEL/AICTE’s ELIS )

    • Industry Internship

    • Major Project-II

    • MOOC (Swayam/ NPTEL/AICTE’s ELIS )

    Connecting Talent to Dream Careers

    We have strong partnerships with leading industry giants such as Amazon, Flipkart, Cognizant, Wipro, IBM, Infosys, Deloitte, Walmart, Genpact, Accenture, Microsoft, and Reliance. These connections play a significant part in our campus recruitment, assisting our B.Tech. CSE (Data Science) graduates get hired by renowned organisations. The B.Tech. CSE (Data Science) programme offers exceptional career opportunities both nationally and internationally.

    700+Campus Recruiters
    56.6 LPAHighest Package
    100%Placement Assistance
    Amazon
    Cognizant
    Walmart
    Flipkart
    Wipro
    Deloitte

    Career Options

    Pursuing B.Tech. CSE (Data Science) at K.R. Mangalam University leads to lucrative career opportunities across various sectors. By integrating our dynamic curriculum with practical applications, we ensure students receive all-inclusive knowledge. We nurture students with industry-relevant skills and expertise to help them thrive in the realm of data science. Here are prominent job roles that graduates can choose from:

    • Data Science Developer: As a data science developer, you will be accountable for utilising data science techniques to derive essential insights from data.
    • Data Analyst: A data analyst collects and analyses the data to assist organisations in making informed decisions.
    • Machine Learning Engineer: A machine learning engineer is an expert in computer and technical skills. Choosing this career path will enable you to build and maintain AI systems.

    • Business Intelligence Analyst: A business intelligence analyst is responsible for analysing data within the organisation to make informed decisions.

    • Data Science Consultant: Data science consultants analyse complex datasets to help businesses. They completely understand an organisation’s goals and data needs.

    Hear straight from our Students

    Megha Sharma

    It's been an incredible journey studying B.Tech CSE (Data Science) at K.R. Mangalam University." The academic support provided by IBM courses has truly distinguished this programme. 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 K.R. Mangalam University's cutting-edge education and IBM's support.

    Raghav Mehra

    Enrolling in B.Tech CSE (Data Science) at K.R. 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 K.R. 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 K.R. Mangalam University was a life-changing experience." This programmes 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

    • Core Competencies in Engineering

      Graduates will possess a strong foundation in engineering knowledge, critical problem analysis, and solution design, equipped with skills for conducting thorough investigations to solve complex challenges.

      01

    • 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.

      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 engineering practice.

      04

    • Effective Communication and Team Collaboration

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

      06

    • Life-long learning

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

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

      01

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

      02

    • Analysing data sets, methodologies, and algorithms to extract meaningful insights.

      03

    • Evaluating data models and analytical methods to optimize performance.

      04

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

    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

    To pursue a B.Tech. CSE (Data Science), you must have passed the 10+2 examination with Physics and Mathematics as mandatory courses from any recognised Board/ University. You must also have passed with a minimum aggregate of 50% in the remaining subject, which can be any one of these – Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational Subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship.

    Students pursuing a B.Tech. (Data Science) programme learn to develop essential skills in Machine Learning, Data Management, Programming, Statistical Analysis, Cloud Computing, Interpersonal Skills, etc. Apart from these, they also develop strong analytical and problem-solving skills necessary for various domains.

    Some of the top recruiters of B.Tech CSE Data Science at KRMU are IBM, Walmart, Genpact, Cognizant, amazon, etc.  

    Yes, B.Tech. CSE (Data Science) graduates can pursue higher studies such as M.Tech in Data Science, AI/ML, MBA with a focus on data analytics or business intelligence, etc.

    Some of the skills required are strong programming skills in languages such as Python, R, and SQL, basic knowledge of machine learning algorithms and data visualisation tools, problem-solving skills, etc.

    In India, an entry-level salary for a Data Scientist is approximately Rs. 5 lakh per annum.

    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.TECH CSE (DATA SCIENCE) ACADEMIC SUPPORT OF IBM