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B.Tech Computer Science and Engineering- Big Data

Program details

The B.Tech. Computer Science & Engineering (Big Data) program at UPES School of Computer Science is designed to equip students with a comprehensive understanding of big data concepts, technologies, and applications. The specialization focuses on building a strong foundation in big data infrastructure and management. Through this course, students will develop the skills needed to set up, administer, and utilize scalable data storage and processing systems effectively. The curriculum covers a range of essential topics, including distributed computing frameworks such as Hadoop and Spark, data storage systems like HDFS and NoSQL databases, and data processing tools like Hive and Pig. Moreover, students will gain insights into cloud-based platforms and services tailored for big data solutions. The program takes an immersive approach by providing hands-on training on the Cloudera platform during summer sessions, allowing students to gain practical experience with industry-standard tools.

To enrich their learning journey, students will have the unique opportunity to interact with industry experts and professionals from Xebia through webinars and interactive sessions. These interactions will provide real-world insights and current trends in the big data landscape, fostering a holistic understanding of the field. Additionally, mentors will be readily available to guide students throughout their capstone projects, encouraging them to delve into research papers, industry publications, and even attend conferences and workshops to stay updated on the latest advancements in big data technologies and applications.

In conclusion, the B.Tech. Computer Science & Engineering (Big Data) program offered by UPES School of Computer Science offers a comprehensive educational experience. It equips students with the necessary skills to excel in the world of big data by providing a strong foundation in key technologies, hands-on training, industry exposure, and guidance from mentors. This program empowers students to become adept in harnessing the potential of big data for solving complex real-world challenges and driving innovation across various industries.

Program Highlights

  • The B.Tech. Computer Science & Engineering (Big Data) program extensively covers essential Big Data tools like Hadoop Ecosystem, Spark, Kafka, and more, alongside programming languages such as Python, Java, Scala, and C++.
  • The UPES School of Computer Science boasts advanced computer labs with high-end systems and high-speed internet, complemented by a well-equipped library for research and study.
  • Dedicated Big Data labs offer immersive hands-on experience with high-end systems, enabling students to explore distributed computing frameworks like Hadoop and Spark.
  • Through partnerships with international universities, students can engage in exchange programs, study tours, and conferences to broaden their horizons.
  • Strong ties with industry leaders like IBM, Xebia, and AWS Academy provide opportunities for real-world projects, internships, hackathons, and coding competitions.
  • Meritorious students can benefit from scholarships based on academic performance and other achievements, while financial assistance and loan schemes are available for deserving candidates.

The future scope of the B.Tech. Computer Science & Engineering (Big Data) program by UPES School of Computer Science is promising and aligned with emerging trends. As technology advances, automation powered by AI algorithms will enhance data processing, analysis, and decision-making, facilitating quicker and more precise insights from big data. Real-time processing of streaming data will be a priority, enabling instant insights for proactive decision-making. The rise of IoT devices will necessitate edge computing, ensuring real-time analysis at the network edge, reducing latency and bandwidth needs. Hybrid and multi-cloud strategies will optimize big data storage and processing, while privacy-preserving techniques will address data security concerns. DataOps methodologies will streamline integration and collaboration among stakeholders. Graph databases and knowledge graphs will gain traction for interconnected data storage and context enhancement. Ethical considerations and data governance will be emphasized, and AI-driven tools will automate data preparation. Federated learning will enable privacy-preserving model training. The program equips students to excel in this dynamic landscape by imparting knowledge and skills aligned with these trends.

Career Opportunities

Completing a B.Tech. in Computer Science & Engineering with a specialization in Big Data from UPES School of Computer Science opens up a plethora of promising career opportunities in the dynamic world of technology. With an average annual package of 8.70 LPA and a remarkable highest package of 26.41 LPA, graduates can embark on fulfilling journeys in various sectors. They can choose to become data engineers, leveraging their skills to design, construct, install, and maintain large-scale data processing systems. Alternatively, they can opt for roles as data analysts, extracting valuable insights from complex datasets to drive informed business decisions. The field of machine learning engineering also beckons, allowing graduates to craft intelligent algorithms and models that power AI-driven solutions. Moreover, opportunities in cloud computing, cybersecurity, and software development are equally abundant. Whether driving innovation as data scientists, shaping user experiences as UX/UI designers, or steering tech ventures as entrepreneurs, UPES graduates are well-equipped to excel, armed with both theoretical knowledge and practical skills. The program's impressive placement statistics reflect the abundant prospects awaiting those who embark on this educational journey.


The B.Tech. Computer Science & Engineering (Big Data) program at UPES School of Computer Science consistently demonstrates an exceptional record in placements, showcasing the institution's commitment to producing highly skilled professionals. The program's curriculum, thoughtfully designed to align with industry demands, equips students with a deep understanding of Big Data technologies and their applications. This proficiency is evident in the remarkable placements achieved by graduates, who find themselves in enviable positions across diverse sectors. Renowned companies actively recruit UPES students, recognizing their adeptness in areas like data analytics, machine learning, and data engineering. This program's success in securing placements can be attributed to the blend of theoretical knowledge and hands-on experience it imparts, fostering well-rounded graduates who are poised to make significant contributions in the dynamic realm of Big Data.

Fee Structure

Click here for detailed Fee Structure.


Semester 1

Linux Lab0042
Programming in C0033
Programming in C Lab0042
Problem Solving2002
Living Conversation2002
Advanced Engineering 
Mathematics – I
Environmental Sustainability and 
Climate Change - I
Physics for Computer Engineers4004
Physics for Computer Engineers 
TOTAL   22

Semester 2

Computer organization and Architecture3003
Data Structures and algorithms4004
Data Structures and algorithms Lab0021
Python programming2002
Python programming Lab0042
Digital Electronics3003
Critical Thinking and Writing2002
Advanced Engineering Mathematics – II3104
Environmental Sustainability and 
Climate Change - II
TOTAL   23

Semester 3

Database Management Systems3003
Database Management Systems Lab0042
Discrete Mathematical Structures3003
Object Oriented Programming3003
Object Oriented Programming Lab0021
Operating Systems3003
Software Engineering3003
Design Thinking0002
TOTAL   23

Semester 4

Artificial Intelligence and Machine 
Artificial Intelligence and Machine 
Learning Lab
Data communication and Networks3003
Data communication and Networks Lab0021
Design and Analysis of Algorithms3003
Design and Analysis of Algorithms Lab0021
Linear Algebra 3003
PE-1 Lab0021
TOTAL   22

Semester 5

Cryptography and Network 
Formal Languages and 
Automata Theory
Object Oriented Analysis and Design3003
Start your Startup2002
Research Methodology in CS 3003
Probability, Entropy, and 
MC Simulation
PE-2 Lab0021
TOTAL   25

Semester 6

Leadership and Teamwork2002
Compiler Design 3003
Statistics and Data 
PE-3 Lab0021
Minor Project0055
TOTAL   21

Semester 7

PE-4 Lab0021
PE-5 Lab0021
Capstone Project - Phase-10055
Summer Internship0001
TOTAL   18

Semester 8

IT Ethical Practices 3003
Capstone Project - Phase-20055

Program Elective 24 Credits

Fundamentals of Data Science4004
Fundamentals of Data Science Lab0021
Data Visualization and Interpretation4004
Data Visualization and Interpretation Lab0021
Machine Learning and Deep Learning
Machine Learning and Deep Learning Lab0021
Computational Linguistic & Natural Language Processing4004
Computational Linguistic & Natural Language Processing Lab0021
Generative Artificial Intelligence3003
Generative Artificial Intelligence Lab0021
TOTAL   24


Interested students must meet the following minimum eligibility criteria for the B.Tech. Computer Science & Engineering (Big Data) program: Minimum 50% Marks in Class X and XII. Along with 50 % in PCM (Physics/Chemistry and Mathematics) in Class XII.

Selection Criteria

The selection criteria for individuals who wish to pursue B.Tech. in Computer Science & Engineering (Big Data) at UPES School of Computer Science relies on the individual's performance in UPESEAT / JEE Mains / Board Merit / SAT/ CUET.

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