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B.Tech Computer Science and Engineering- Data Science

Program details

The B.Tech. Computer Science & Engineering (Data Science) program offered by UPES School of Computer Science is designed to equip students with the skills and knowledge required to excel in the dynamic field of data science. The program's core focus is on identifying patterns within data and extracting meaningful insights using a range of statistical techniques. Students will engage in rigorous training in data extraction, wrangling, and pre-processing, essential steps before delving into data analysis. A distinctive feature of the program is the emphasis on specialization within data science. This involves concentrating on a specific subject or skill within the field, enabling students to develop expertise in a particular area. The curriculum 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. This ensures graduates are well-prepared to navigate the evolving landscape of data science and AI.

As Data Science and AI continue to gain prominence, the program recognizes the demand for skilled professionals in the industry. The curriculum is structured to foster independent learning and critical thinking. Students are encouraged to actively explore research papers, industry publications, attend conferences, and workshops. Moreover, the program places a strong emphasis on practical experience through capstone projects. These projects, guided by experienced mentors, provide students with hands-on exposure to real-world data challenges and enable them to apply theoretical knowledge in practical scenarios.

In conclusion, the B.Tech. Computer Science & Engineering (Data Science) program at UPES School of Computer Science is a comprehensive and forward-looking educational journey. It prepares students to become proficient data scientists capable of extracting valuable insights from complex datasets. Through specialized training and practical experience, graduates are poised to thrive in the exciting realm of data science, AI, and analytics across various industries.

Program Highlights

  • Students of the B.Tech. Computer Science & Engineering (Data Science) program gain proficiency in essential data science tools and technologies, such as SAS, Microsoft Power BI, Tableau, TensorFlow, and more, preparing you for real-world data analysis challenges.
  • Experience hands-on learning in state-of-the-art computer labs equipped with high-end systems, high-speed internet, and cloud computing resources, facilitating practical exposure to cutting-edge technology.
  • Dedicated labs equipped with powerful I7 processors and 16GB RAMs enable practical immersion in distributed computing frameworks like Hadoop and Spark, essential for processing and analyzing large-scale data.
  • Benefit from UPES' partnerships with international universities, allowing you to participate in student exchange programs, study tours, and conferences, broadening your horizons and understanding of diverse cultures.
  • Leverage strong ties with industry leaders like IBM, Xebia, and AWS Academy, providing opportunities for industry projects, internships, hackathons, and coding competitions, enhancing your practical skills and employability.
  • Access UPES' scholarship offerings based on academic excellence, sports achievements, and socio-economic background, while also availing financial assistance through loans and schemes to ensure equitable education opportunities.

The B.Tech. Computer Science & Engineering (Data Science) program at UPES School of Computer Science offers an exciting future scope. As technology advances, data science plays a pivotal role in transforming industries. The program equips students to collect, process, analyze, and visualize vast data, aiding critical business decisions. The demand for data scientists is soaring, surpassing available talent. The field's growth is assured due to emerging trends. Artificial Intelligence empowers innovation across industries. Cloud services address data storage challenges, while AR/VR enhances human-machine interactions. IoT propels predictive analytics, and Big Data revolutionizes business insights. Automated Machine Learning streamlines model development, and Quantum Computing promises lightning-fast calculations. Digital Twins enable virtual testing, ensuring robust systems. The program positions graduates to excel in a data-driven world shaped by these cutting-edge technologies.

Career Opportunities

Graduates of the B.Tech. Computer Science & Engineering (Data Science) program from UPES School of Computer Science are well-positioned for promising career opportunities. With an increasing demand for professionals skilled in handling large-scale data, graduates can secure placements in top-tier companies. The program equips students with comprehensive knowledge in data analysis, data engineering, and data-driven decision-making, making them valuable assets in diverse industries including finance, healthcare, e-commerce, marketing, and technology. The combination of technical proficiency and domain-specific understanding allows graduates to thrive in roles like data analysts, machine learning engineers, data scientists, and more. This program not only provides a strong foundation but also opens doors to a dynamic career path in the rapidly evolving field of data science.


The placements of the B.Tech. Computer Science & Engineering (Data Science) program offered by UPES School of Computer Science showcase a remarkable track record, with an average CTC of 8.7 LPA and the highest CTC reaching an impressive 26.41 LPA. The program has consistently attracted top-tier companies spanning various sectors. Technology giants like Google, Microsoft, Amazon, IBM, and Oracle eagerly hire graduates, emphasizing the program's industry relevance. Consulting firms such as Deloitte, Accenture, McKinsey, and PwC recognize the program's prowess in producing skilled data scientists. Financial services leaders like JPMorgan Chase, Goldman Sachs, Citigroup, and Visa actively seek graduates for their data-driven insights. E-commerce titans Amazon, eBay, and Walmart, along with telecommunications and social media leaders like Verizon, AT&T, Facebook, Twitter, and LinkedIn, also feature among the program's prominent recruiters. Furthermore, startups and data analytics firms find UPES graduates well-prepared to contribute meaningfully in this dynamic field.

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 
Machine Learning and Deep Learning4004
Machine Learning and Deep Learning 
Computational Linguistic & Natural 
Language Processing
Computational Linguistic & Natural 
Language Processing Lab
Generative Artificial Intelligence3003
Generative Artificial Intelligence Lab0021
TOTAL   24


Interested students must meet the following minimum eligibility criteria for B.Tech. Computer Science & Engineering (Data Science): 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 students who wish to enroll in the B.Tech. Computer Science & Engineering (Data Science) program at UPES School of Computer Science relies on the performance on UPESEAT / JEE Mains / Board Merit / SAT/ CUET.

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