BTech CSE (Hons) AI & Data Science

The B.Tech (Hons.) in Computer Science and Engineering (CSE) program with a specialization in Data Science, offered in collaboration with Inurture, is designed to equip students with the essential knowledge and skills required to thrive in today's data-driven economy. As industries across India and the globe embrace digital transformation, the role of data in driving business decisions has become pivotal. This program provides students with a deep understanding of the data lifecycle, enabling them to collect, clean, analyze, and interpret vast datasets to uncover actionable insights.

The curriculum covers a wide array of advanced topics, including data mining, statistical modeling, machine learning, big data technologies, and data visualization tools, preparing students to handle real-world challenges effectively. Students gain expertise in cutting-edge tools like Python, R, Hadoop, Spark, Tableau, and Power BI, ensuring their skills align with current industry demands. By blending theoretical foundations with hands-on experience, including live projects, hackathons, and case studies, the program ensures that graduates are equipped to solve complex data problems across industries like healthcare, finance, e-commerce, and IT services.

With Quantum University, one of the top engineering institutions in India, as the academic platform, students benefit from access to state-of-the-art infrastructure, industry-aligned training, and mentorship from seasoned professionals. Graduates of this program are well-prepared to take on roles such as Data Scientist, Business Analyst, Data Engineer, and Big Data Specialist in leading organizations across India and globally.

Specialized Curriculum

Learn advanced topics such as machine learning algorithms, predictive analytics, big data technologies like Hadoop and Spark, and AI-driven data analysis.

Industry Collaboration

Gain practical insights through Inurture's industry partnerships, working on real-world case studies and live data challenges.

Hands-On Training

Engage in capstone projects, hackathons, and practical assignments using tools like Python, Tableau, R, and Power BIto build a strong foundation in data science.

Career Opportunities

Graduates can pursue high-demand roles such as Data Scientist, Big Data Engineer, Data Analyst, AI Specialist, and Machine Learning Engineer in India's tech-driven sectors and globally.

Program Overview

This program offers an in-depth understanding of the data science domain, preparing students to manage and analyzecomplex datasets while developing solutions for data-driven decision-making. The curriculum emphasizes mastering the data lifecycle, from data collection and preprocessing to advanced analytics and visualization.

Students are trained in statistical tools, programming languages, and modern data visualization techniques to solve industry challenges. Key focus areas include predictive modeling, natural language processing, cloud-based data solutions, and AI-powered analytics, with practical learning through internships, workshops, and hands-on projects in fields like healthcare analytics, financial forecasting, and consumer behavior analysis.

By choosing Quantum University, students secure a place in one of the top universities in India, known for its innovative and industry-relevant education. This program ensures that graduates are prepared to thrive in high-growth fields like AI, big data, and data science, contributing to India's emerging digital landscape and the global technology ecosystem.

Program Structure

The B.Tech CSE – Data Science (in collaboration with iNurture) at Quantum University is a 4-year undergraduate program structured across 9 academic categories, including core, electives, interdisciplinary, skill-based, and project components. The program offers a strong foundation in core Computer Science principles, alongside specialized training in data analytics, statistical modeling, machine learning, big data technologies, and data visualization.

Through its collaboration with iNurture, students receive hands-on training, industry-recognized certifications, expert-led sessions, and real-time projects using tools and platforms such as Python, R, SQL, Power BI, Tableau, Hadoop, Spark, and TensorFlow. The curriculum emphasizes practical application through data labs, data wrangling exercises, collaborative projects, and capstone assignments modeled on real industry challenges.

The program also includes internships and a final-year project, typically conducted under the guidance of industry mentors, to ensure that students graduate with strong technical skills, analytical thinking, and the ability to extract meaningful insights from data—preparing them for impactful careers as data scientists, analysts, and AI professionals in various sectors.

Teaching & Assessment

The Teaching & Assessment approach for the B.Tech in Computer Science and Engineering – Data Science (in collaboration with iNurture) at Quantum University is structured to meet the evolving needs of the data-driven industry. The pedagogy integrates core academic concepts with applied, industry-oriented learning, equipping students with both theoretical knowledge and practical expertise in data handling, analysis, and interpretation.

Teaching methods include interactive lectures, data analytics labs, live coding sessions, industry workshops, webinars, seminars, and certified training programs, conducted by university faculty in collaboration with iNurture professionals. Students gain hands-on experience using tools and technologies such as Python, R, SQL, Power BI, Tableau, Hadoop, Spark, and machine learning frameworks like TensorFlow and Scikit-learn. The curriculum emphasizes real-world datasets, predictive modeling, visualization techniques, and collaborative projects, helping students develop strong analytical and problem-solving skills in an industry-relevant context.

The assessment framework is designed to evaluate both conceptual understanding and practical competence. It includes a combination of written assignments, lab-based exercises, data analysis reports, case study evaluations, presentations, and theoretical exams. A key component of the program is the final-year capstone project, often conducted under the mentorship of industry experts from iNurture, where students solve real data science problems or build deployable AI/ML models. This integrated teaching and assessment strategy ensures that graduates are job-ready, with the technical skills, certifications, and project experience required to succeed in roles such as Data Analyst, Machine Learning Engineer, and Business Intelligence Developer.

Curriculum

Basics of Computer and C Programming
Basics of Computer and C Programming Lab
Engineering Physics
Engineering Physics Lab
Mathematics I
Fundamentals of Mechanical & Mechatronics Engineering
Disaster Preparedness & Management
Indian Knowledge System
We-Code I
General Proficiency

Graph Theory and Probability
Programming in C++
HTML5 and CSS
Programming in C++ Lab
HTML5 and CSS Lab
United Nations Development Programme
Environmental Studies
Human Values and Ethics
General Proficiency
We-Code II
Data Science Foundation

Data Structure & Programming
Database Management System
Open Elective I
Data Structure Programming Lab
Oracle/SQL Server Lab
Project Lab I
Summer Internship I
We-Code III
Python Programming Concepts
Python Programming Concepts Lab
Statistical Inference
Beginner Level -CTP (Data Science)
Beginner Level -CTP (Data Science) Lab

Object Oriented Programming and Systems with Java
Theory of Automata & Formal Language
Open Elective II
Object Oriented Programming and Systems with Java Lab
Project Lab II
General Proficiency
Computer Network
Introduction to Software Engineering
Intermediate Level -CTP (Data Science)
Computer Network Lab
Intermediate Level -CTP (Data Science) Lab
We-Code IV

Design and Analysis of Algorithm
Open Elective II
Design and Analysis of Algorithm Lab
Project Lab III
Internship Presentation
We-Code V
Advanced Level-CTP(Data Science)
R Programming
R Programming Lab
Advanced Level -CTP (Data Science) Lab
Web Technology
Web Technology Lab

Compiler Design
Open Elective III
DSE-I
Compiler Design Lab
Project Lab IV
Technical VAP I
General Proficiency
Data Visualization Techniques
Data Visualization Techniques Lab
Natural Language Processing using Python
Advanced Python Programming Lab
We-Code VI

System Administration
DSE-II
DSE-III
Internship Presentation
Project Lab V
Technical VAP II
General Proficiency
Optimization Techniques
Optimization Techniques Lab

DSE-IV
DSE-V
Project

Program Outcomes

Program Educational Objectives (PEO's)

PEO1

To be well familiar with the concepts of Computer Engineering for leading a successful career in industry or as entrepreneur or to pursue higher education.

PEO2

Foundation of mathematical concepts: Ability to apply mathematical methodologies to solve computation task, model real world problem using appropriate data structure and suitable diagram.

PEO3

To instill lifelong learning approach towards constantly evolving technologies with innovative and ethical mindset.

Program Specific Outcomes (PSO's)

PSO1

Foundation of Computer System: Ability to understand the principles and working of computer systems. Students can assess the hardware and software aspects of computer systems.

PSO2

Foundations of Software development: Ability to understand the structure and development methodologies of software systems. Possess professional skills and knowledge of software design process. Familiarity and practical competence with a broad range of programming language and open-source platforms.

PSO3

Foundation of mathematical concepts: Ability to apply mathematical methodologies to solve computation task, model real world problem using appropriate data structure and suitable diagram.

PSO4

Develop Big Data solutions for use in data analytics and data science solutions.

Program Outcomes (PO's)

PO-01

Engineering knowledge: Apply the knowledge of mathematical, scientific and engineering fundamentals in formulating and solving engineering problems.

PO-02

Problem analysis: Identify, analyze and provide substantial conclusions for complex engineering problems using mathematics, natural sciences, and engineering sciences

PO-03

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

PO-04

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.

PO-05

Modern tool usage: Apply modern tools and techniques for prediction and modelling of complex engineering activities with an understanding of the limitations.

PO-06

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

PO-07

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

PO-08

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice

PO-09

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

PO-10

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.

PO-11

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.

PO-12

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

Minor Degree Programs

At Quantum University, students have the freedom to expand their academic horizons beyond their core area of study. Through minor programs, they can choose courses from related or entirely different disciplines, encouraging interdisciplinary learning and personal growth. This flexible approach empowers students to design a well-rounded education, explore new interests, and develop diverse skill sets that prepare them for dynamic career opportunities.

Some of the MINOR Degrees being offered are:

Entrepreneurship & Startups
Foreign languages (French)
Media Management
Financial Literacy
Robotics & Automation
Microsoft Office
Culinary Arts
Data Analytics
Web Designing

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Experiential Learning

Quantum University's 4-year B.Tech Computer Science & Engineering program offers a holistic and integrated learning experience, blending academic rigor with hands-on practical exposure. This innovative program is designed to prepare students for the dynamic demands of the tech industry by nurturing technical expertise, creativity, and leadership skills. With specialized tracks in Artificial Intelligence & Machine Learning, Data Science, Cybersecurity, DevOps, Cloud Technology & Information Security, and Full Stack Development, students can tailor their education to align with their career aspirations and emerging industry trends.

Hackathons

Quantum University encourages students to participate in inter-university and national-level hackathons, fostering innovation and sharpening problem-solving skills. These high-stakes coding events challenge students to develop real-world solutions in fields like AI, cybersecurity, cloud technologies, and full-stack development, enhancing their creativity, teamwork, and technical proficiency. The CODEX Club of the CSE department organizes the exclusive CodeFest series, offering students opportunities to collaborate on live projects, brainstorm ideas, and demonstrate their expertise in specialized domains.

Technical Events

Technical events such as coding marathons, technical quizzes, and project showcases are integral to the learning experience. These events, spearheaded by the CODEX Club under the department's Passion Program, expose students to cutting-edge technologies like machine learning, blockchain, and IoT. By working on live projects and industry-relevant challenges, students build confidence, foster peer collaboration, and develop creative problem-solving skills that are critical in specialized fields like DevOps and data science.

Internships/Training

Quantum University's over 150 collaborations with leading industry partners provide students with unmatched opportunities for internships and certified training programs in their chosen specializations. Through hands-on projects in areas like AI/ML, cloud technology, and cybersecurity, students bridge the gap between academic knowledge and industry practices. These experiences help students develop critical technical and soft skills, build professional networks, and gain a competitive edge in their careers.

Workshops

Industry-driven workshops are a cornerstone of the B.Tech CSE program. Conducted by seasoned experts, these workshops focus on emerging technologies such as AI, blockchain, IoT, cybersecurity, cloud computing, and DevOps.They provide students with hands-on experience and practical knowledge, equipping them to solve real-world problems. These workshops also enable students to explore their specializations in greater depth, preparing them for advanced roles in their respective fields.

Industrial Visits

To reinforce experiential learning, Quantum University organizes regular industrial visits for CSE students. These visits provide insights into professional workflows, cutting-edge technologies, and industry methodologies in fields such as data science, full-stack development, and AI/ML. By bridging theoretical concepts with real-world practices, industrial visits offer students a well-rounded understanding of the tech landscape and its expectations.

Outstanding Career Outcomes

Our graduates are in high demand across top engineering companies and innovative startups

LPAHIGHEST PACKAGE OFFERED
NUMBER OF COMPANIES VISITED
NUMBER OF STUDENTS PLACED
LPAAVERAGE PACKAGE OFFERED

Career Tracks

Data Analyst

Data cleaning, visualization, and dashboard generation.

Data Engineer

ETL pipelines, big data management, and cloud systems.

Business Analyst

Translating data insights into strategic decisions.

Statistician

Predictive modeling and statistical forecasting.

Entrepreneurship

Comprehensive Skill Development: At Quantum University, the teaching methodology includes extensive Skill Development Courses (SKCs) designed to equip students with the necessary skills to start their own ventures.

Entrepreneurial and Leadership Opportunities: Quantum University is providing ample opportunities to students to start their own ventures. More than 100 Start-ups are in progress.

Networking and Career Success: Quantum University fosters strong industry connections and real-world exposure, enabling students to build professional networks and unlock rewarding career opportunities.

Higher Studies

Master’s Programs: Quantum University offers a range of industry-relevant master's programs designed to deepen academic knowledge, enhance professional skills, and prepare students for leadership roles in their chosen fields.

Ph.D. Opportunities: Quantum University offers rigorous Ph.D. programs that foster advanced research, innovation, and academic excellence. With expert mentorship, interdisciplinary collaboration, and access to cutting-edge resources, scholars are empowered to contribute meaningful insights to their fields.

Networking and Career Success: Students benefit from a strong ecosystem of industry partnerships, alumni networks, and career development support. Regular workshops, internships, expert talks, and placement drives help students build valuable connections and achieve long-term career success.

Mentors Who Shape Futures

Dr. Himanshu Tyagi

Assistant Professor

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Dr. Amrita Kumari

Assistant Professor

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Dr. Md. Iqbal

Professor

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Dr. Brij Mohan Singh

Professor

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Dr. Satender Kumar

Associate Professor

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Dr. Mridula

Professor

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Dr. Raj Kumar

Assistant Professor

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Dr. Anuj Kumar

Assistant Professor

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Ankur Rana

Assistant Professor

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Deepak Bhatt

Assistant Professor

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Labs

Internet Lab

Computer Applications Lab

Database Management System Lab

Data Structure Lab

Design and Analysis of Algorithms Lab

AK Khare Interdisciplinary Center of Excellence in AI

Object Oriented Programming Lab

Open Source Lab

Operating System Lab

Python Programming Lab

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Research Highlights

Quantum University fully supports and encourages interdisciplinary research initiatives across different areas of study.

+Paper Publications
+Patents
+Startup Grants

Industry -Academic Collaborations

Quantum University has partnerships with over 150 industry leaders, providing students with valuable practical experience and exposure to current industry trends. Companies offer internships, real-world projects, and job opportunities to over 900 students annually at the best packages.