Transforming Data into Intelligent Decisions

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

Step into the future with a B.Tech. CSE (Data Science) programme that empowers you to decode complex data, predict trends, and build smart solutions that shape the way industries, governments, and societies make decisions.

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56.6 LPAHighest Package

800+Campus Recruiters

100%Placement Assistance

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K.R. Mangalam University

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K.R. Mangalam University

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Connecting Talent to Dream Careers

Duration

4 Years

Programme Fee / Year

Rs. 2,70,000

Eligibility

Passed 10+2 examination with Physics and Mathemati

Programme Overview

The B.Tech. Computer Science and Engineering (Data Science) programme at K.R. Mangalam University is designed to develop graduates with a strong foundation in computer science principles alongside specialised expertise in data science, analytics, and intelligent computing. The programme equips students with computational thinking, programming proficiency, software engineering knowledge, and data-driven problem-solving skills required to analyse complex datasets, derive meaningful insights, and support informed decision-making across diverse domains. It provides comprehensive knowledge of programming, data structures, algorithms, databases, operating systems, computer networks, software engineering, and mathematics, while offering focused learning in statistical modelling, machine learning, data mining, big data analytics, data visualisation, predictive analytics, data engineering, business intelligence, cloud-based data processing, and responsible data management through industry-oriented education and experiential learning.

The curriculum incorporates contemporary domains such as deep learning, artificial intelligence, natural language processing, computer vision, recommender systems, big data ecosystems, cloud analytics, data governance, data ethics, research methodologies, innovation, and entrepreneurship, enabling students to understand the complete data science lifecycle of collecting, processing, analysing, interpreting, visualising, and deploying data-driven solutions for real-world challenges. Practical learning is reinforced through advanced data science laboratories, analytics competitions, industry-driven projects, workshops, internships, research activities, and capstone projects. These experiences enable students to strengthen their expertise in data exploration, model development, algorithm optimisation, data visualisation, analytical reasoning, collaborative problem-solving, teamwork, and professional communication while gaining proficiency in industry-standard data science platforms, programming frameworks, and analytical technologies.

Upon successful completion of the programme, graduates are prepared to analyse, design, develop, deploy, and manage data-driven systems that address emerging technological, industrial, and societal challenges. They are equipped to pursue careers in data science, machine learning engineering, business analytics, artificial intelligence, big data engineering, data engineering, research and development, cloud analytics, technology organisations, research institutions, and entrepreneurial ventures while upholding professional ethics, data privacy, regulatory compliance, and responsible use of data-driven technologies. The programme empowers graduates to contribute meaningfully to the evolving digital economy through innovation, analytical competence, technical excellence, and a commitment to lifelong learning.

B.Tech. CSE (Data Science)
Programme Scope

B.Tech. CSE (Data Science) offers immense career potential in today’s data-driven world. With the rising demand for data experts across industries like finance, healthcare, e-commerce, and IT, graduates can explore roles such as data analyst, machine learning engineer, and AI developer. The programme equips students with cutting-edge skills to extract insights, predict trends, and build smart solutions—making them valuable assets in the digital economy.

Skills Developed

During the B.Tech. CSE (Data Science) Programme

Within the span of four years, students develop the technical, analytical, problem-solving, and professional competencies required to build successful careers in data science, artificial intelligence, analytics, and the global technology industry, such as:

Develop expertise in statistical analysis, machine learning, data mining, big data analytics, predictive modelling, data visualisation, and business intelligence.

Gain proficiency in data preprocessing, exploratory data analysis, deep learning, natural language processing, computer vision, cloud-based analytics, databases, and industry-standard data science tools and frameworks.

Build practical experience through data science laboratories, analytics competitions, hackathons, internships, industry projects, and capstone projects focused on solving real-world data-driven challenges.

Enhance skills in data modelling, feature engineering, algorithm optimisation, model evaluation, analytical reasoning, project management, teamwork, professional communication, and presentation of analytical insights.

Programme Key Features

Highlights

Hands-On Learning with Real-World Exposure

15% of the total credits are earned through internships and hands-on projects, ensuring students graduate with six months of real-world work experience and a strong project portfolio that showcases their skills and capabilities.

Industry-Integrated Curriculum

An industry-aligned curriculum covering both foundational knowledge and cutting-edge technologies to ensure a job-ready learning experience.

Web Development Training from Day One

From the first year, students start working with the MERN Stack (MongoDB, Express, React, Node.js), a modern and widely used tech stack that equips them to build real-world applications early in their learning journey.

Learn Data Science and machine learning with IBM at KRMU

Learn with IBM

KRMU has partnered with one of the world's leading technology companies. Learn to extract meaningful insights from complex datasets, build data-driven solutions, and work with advanced analytics tools through practical training at IBM Labs.

Cutting-edge labs including IoT, Robotics and iOS labs for Data Science students at KRMU

Cutting Edge Labs & Equipment

The state-of-the-art resources empower students to collect, analyse, visualise, and interpret complex datasets, enabling them to develop data-driven solutions for real-world challenges.

MakerSpace with 3D printers and Arduino kits for Data Science students at KRMU

MakerSpace: Build from Day One

Replacing outdated workshop classes, students now take a hands-on “MakerSpace” course with access to 3D printers, laser cutters, Arduino kits, and more.

Unmatched Industry Experience

The university has tie-ups with over 800 recruiters and industry giants to offer Internship and placement opportunities to its students for the best industrial experience.

Why Choose K.R. Mangalam University for B.Tech. CSE (Data Science)?

KRMU’s B.Tech. CSE (Data Science) with Academic Support of IBM programme is designed for students who aspire to harness the power of data, artificial intelligence, and advanced analytics to solve real-world problems and drive innovation in a data-driven digital economy.The programme integrates a strong foundation in computer science with specialised knowledge in data science, enabling students to develop expertise in statistical analysis, machine learning, data mining, big data analytics, data engineering, business intelligence, predictive modelling, data visualisation, and artificial intelligence. Through an industry-oriented curriculum, experiential learning, expert mentoring, and exposure to modern analytical tools and intelligent technologies, students strengthen their technical competence and industry readiness. Practical learning through advanced data science laboratories, internships, live industry projects, analytics competitions, and capstone projects enables students to gain the hands-on experience and analytical skills required to collect, process, analyse, interpret, and deploy data-driven solutions for complex business and societal challenges.

Students exploring B.Tech. CSE (Data Science) programmes often evaluate factors such as a future-ready curriculum, advanced data science laboratories, experienced faculty, experiential learning opportunities, industry collaborations, internships, live projects, analytics competitions, innovation and entrepreneurship support, exposure to emerging technologies, placement opportunities, and an academic environment that nurtures analytical thinking, ethical use of data, technical excellence, problem-solving abilities, collaboration, creativity, and lifelong learning.

Parameter	K.R. Mangalam University	Typical Private University in NCR
Highest placement package	56.6 LPA	8–20 LPA
Campus recruiters	800+ companies	100–300 companies
Research & innovation	600+ Scopus/WoS publications, 250+ patents, research in data science, artificial intelligence, machine learning, big data analytics, business intelligence, cloud computing, data engineering, intelligent systems, and interdisciplinary computing research	Limited research ecosystem with fewer publications, patents, and opportunities in data science, artificial intelligence, big data, analytics, and emerging computing technologies
International exposure	*Fully Sponsored 2-Week European Summer School	International exposure is generally not included as a standard programme component
Data Science laboratories & experiential learning	Advanced data science laboratories, AI and machine learning projects, analytics competitions, hackathons, live industry projects, internships, cloud-based data analytics, and capstone projects	Limited access to specialised data science laboratories, AI platforms, analytics tools, industry-led projects, and experiential learning opportunities
Industry mentorship	Learning under experienced data scientists, AI specialists, machine learning engineers, analytics professionals, cloud experts, entrepreneurs, academicians, and industry leaders through workshops, masterclasses, and live mentoring	Primarily classroom-based learning with limited interaction with data science professionals, AI experts, analytics leaders, and the technology industry
Location advantage	Gurugram – Close to leading technology companies, AI and data science firms, global enterprises, multinational corporations, consulting organisations, fintech companies, startups, analytics centres, and innovation hubs	Often located in regions with comparatively fewer opportunities for regular interaction with the data science, AI, analytics, and technology industry
Placement record	92% Placement Rate	55–65% Placement Rate
Scholarships	Up to 100% scholarships for meritorious students, sports achievers, and multiple other categories	Limited scholarships with fewer eligibility categories and higher competition

Situated in Gurugram, a leading centre for technology, innovation, artificial intelligence, analytics, startups, and global enterprises, K.R. Mangalam University’s B.Tech. CSE (Data Science) programme provides students with valuable exposure to renowned technology companies, AI and data science firms, research organisations, analytics centres, and industry professionals. Through industry interactions, live data-driven projects, internships, analytics competitions, workshops, hackathons, innovation challenges, research initiatives, and expert-led seminars, students gain practical experience and develop the technical expertise required to solve complex business and societal problems using data-driven approaches and intelligent technologies.

The programme prepares skilled data science professionals and future technology leaders by integrating a strong computer science foundation with advanced data science principles and analytical techniques. Through hands-on learning in statistical analysis, machine learning, big data analytics, data engineering, predictive modelling, data visualisation, artificial intelligence, cloud-based analytics, and business intelligence, students develop the analytical capabilities, technical proficiency, and professional competencies required to extract meaningful insights from data, build intelligent solutions, optimise decision-making, and drive innovation while pursuing rewarding careers in the global data science, artificial intelligence, and technology industry.

Admission Process

Commence your Journey in just 6 simple steps

admissions.krmangalam.edu.in

Pay the required application fee of ₹1,000

Appear for the K.R. Mangalam University Entrance Exam

Attend our Faculty-Led Interview

Receive the offer letter after a successful personal interview

Embark on your journey with K.R. Mangalam University

STEP 01

Start your application

admissions.krmangalam.edu.in

STEP 02

Payment

Pay the required application fee of ₹1,000

STEP 03

Entrance Test

Appear for the K.R. Mangalam University Entrance Exam

STEP 04

Personal Interview

Attend our Faculty-Led Interview

STEP 05

Admission Offer

Receive the offer letter after a successful personal interview

STEP 06

Get Enrolled

Embark on your journey with K.R. Mangalam University

Curriculum & Syllabus

Probability, Statistics & Linear Algebra

Programming for Problem Solving Using Python

Web Dev I (HTML, CSS, JS Basics)

Engineering Physics

CS Fundamentals & Career Pathways

Design Thinking & Prototyping

Labs & Facilities

Touted as the best B.Tech. CSE Data Science College in Gurugram, KRMU provides cutting-edge laboratories and industry-oriented learning environments that enable students to master data analytics, predictive modelling, and business intelligence. Equipped with advanced tools and industry-standard software, these labs enable graduates to develop cutting-edge solutions in AI/ML, Cyber Security, Data Science, Robotics, and Software Development.

Here’s everything KRMU’s B.Tech. CSE Data Science programme has to offer:

Computer Labs

Modern labs equipped with advanced systems to support coding, data processing, and project-based learning.

BCA AI & Data Science Data Structures and Algorithms Lab

Data Structures & Algorithms Lab

A focused environment where students build strong problem-solving skills by implementing efficient algorithms and data handling techniques.

Database Management Systems Lab

A practical space where students design, manage, and query structured databases, gaining real-world data management experience.

Big Data Analysis Lab

An advanced lab where students work with large datasets using modern tools and technologies to extract meaningful insights and perform real-time analysis.

Data Science Lab

A specialised lab that enables students to apply data analysis, machine learning, and visualisation techniques to solve real-world problems.

Beyond the Classroom

Our experiential learning programmes bridge the gap between academics and industry by providing hands-on exposure through hackathons, live projects, research initiatives, and corporate internships. Students engage in real-world problem-solving, collaborate with industry leaders, participate in technical bootcamps, and gain entrepreneurial insights through startup incubation programs. With opportunities for international competitions and industry training, the curriculum ensures graduates are well-equipped to thrive in the evolving tech landscape.

Guest speaker Jasmine leading an expert session for students at K.R. Mangalam University

K.R. Mangalam University Background image

Career Prospects

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.

B.Tech Data Science graduates career prospects at KRMU

Below is a full breakdown of career roles, average salary ranges in India, and the sectors actively hiring B.Tech. CSE Data Science graduates.

Job Role After B.Tech. CSE (Data Science)	Average Package for Freshers in India (INR)	Hiring Sectors
Data Scientist	₹6 LPA–12 LPA	IT Companies, MNCs, Consulting Firms, BFSI, Healthcare, E-commerce
Data Analyst	₹4.5 LPA–8 LPA	IT Services, Banking, Retail, Healthcare, Analytics Companies
Machine Learning Engineer	₹6 LPA–12 LPA	AI Companies, Technology Firms, Product-Based Companies, Startups
Business Intelligence (BI) Analyst	₹5 LPA–9 LPA	Consulting Firms, BFSI, Retail, Manufacturing, Enterprise Organisations
Big Data Engineer	₹6 LPA–11 LPA	Technology Companies, Cloud Service Providers, Data Engineering Firms
AI Engineer	₹6 LPA–12 LPA	Artificial Intelligence Companies, Product-Based Firms, Healthcare, FinTech
Data Engineer	₹5.5 LPA–10 LPA	IT Companies, Cloud Service Providers, MNCs, Enterprise Organisations
Business Analyst	₹5 LPA–9 LPA	Consulting Companies, BFSI, E-commerce, Technology Firms
Data Visualization Specialist	₹5 LPA–8.5 LPA	Analytics Firms, Consulting Companies, Media, Retail, Enterprise Organisations
AI & Data Science Consultant	₹6 LPA–12 LPA	Consulting Firms, Technology Companies, Digital Transformation Organisations, MNCs
Research Associate (AI & Data Science)	₹5 LPA–9 LPA	Research Organisations, R&D Centres, Universities, Technology Companies
Data Science Entrepreneur / AI Consultant	₹5 LPA–20+ LPA	AI & Analytics Startups, Technology Consulting Firms, Data Science Companies, Own Enterprise

*Note: The packages mentioned above are sourced from various sources on the internet. Hence, they can vary.

Financial Assistance

K.R. Mangalam University has collaborated with leading banks to offer convenient Education Loan options, making it easier for students to finance their academic aspirations. These loans come with a moratorium period, allowing you to begin repayment either one year after course completion or six months after securing a job (whichever comes first). This ensures you can focus on your studies now and manage repayments when you're financially ready.

Quick & Instant Disbursal

Includes tuition fees, books cost, hostel fees, and airfare

Pan India loan availability

Concessional rate of interest

Speedy disposal of loan applications

Up to 100% loan with a lower interest rate and zero processing fees

Repayment tenure ranging from 5-15 years

Scholarship 2026

We offer up to 100% scholarships for academic toppers, sports achievers, and students across multiple categories, ensuring that ambition, hard work, and potential always find their way forward.

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Yes, K.R. Mangalam University offers diploma courses to cater to diverse interests and career aspirations. We currently have a Diploma in Pharmacy programme structured to provide practical and theoretical knowledge.

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Aerial view of Cyber City, Gurugram – corporate hub near K.R. Mangalam University campus

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