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Quick Facts

Total Fees
23.84 L
Exam
JEE Main

Fees Details

General

23.84 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

48 Months

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.


Important dates

Exams and EventsDates
JEE Main
Others - City intimation slip (Mode - Online)
2 Jan'25 - 2 Jan'25
JEE Main
Admit Card Date (Mode - Online)
18 Jan'25 - 30 Jan'25
JEE Main
Exam Date (Mode - Offline)
21 Jan'25 - 30 Jan'25
JEE Main
Application Date (Mode - Online)
30 Jan'25 - 23 Feb'25
JEE Main
Result Date (Mode - Online)
11 Feb'25 - 11 Feb'25
JEE Main
Others - Last date for successful transaction of prescribed application fee (Mode - Online)
23 Feb'25 - 23 Feb'25
JEE Main
Others - City intimation slip (Mode - Online)
9 Mar'25 - 9 Mar'25
JEE Main
Admit Card Date (Mode - Online)
28 Mar'25 - 7 Apr'25
JEE Main
Exam Date (Mode - Offline)
31 Mar'25 - 7 Apr'25
JEE Main
Result Date (Mode - Online)
16 Apr'25 - 16 Apr'25
SAT
Application Date - Mar session - last date to apply (Mode - Online)
20 Feb'25 - 20 Feb'25
SAT
Others - Mar sesssion - deadline for changes, regular cancellation,and late registration (Mode - Online)
24 Feb'25 - 24 Feb'25
SAT
Exam Date - Mar sesssion (Mode - Online)
7 Mar'25 - 7 Mar'25
SAT
Application Date - May session - last date to apply (Mode - Online)
17 Apr'25 - 17 Apr'25
SAT
Others - May sesssion - deadline for changes, regular cancellation,and late registration (Mode - Online)
21 Apr'25 - 21 Apr'25
SAT
Exam Date - May sesssion (Mode - Online)
2 May'25 - 2 May'25
SAT
Application Date - June session - last date to apply (Mode - Online)
21 May'25 - 21 May'25
SAT
Others - June sesssion - deadline for changes, regular cancellation,and late registration (Mode - Online)
26 May'25 - 26 May'25
SAT
Exam Date - June sesssion (Mode - Online)
6 Jun'25 - 6 Jun'25
CUET UG
Exam Date (Mode - Online)
14 May'25 - 23 May'25

Eligibility Criteria

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.

Admission Details

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.

Student Reviews for B.Tech CSE Hons with Specialization in Big Data

College Infrastructure: 5/5
Academics: 5/5
Placements: 4.5/5
Value for Money: 4.5/5
Campus Life: 4.5/5

My College Experience

College Infrastructure

The college have excellent infrastructure with high class facilities and advanced equipment . We have 24*7 wifi facilities, smart boards, charging points available of every single student in the table itself. The space is very much hygenic and clean

UPES

Verified Review

College Infrastructure

Yes my college have all the necessary infrastructure, facilities and equipments. Our classrooms contain white board, AC, Projector. We can access our library offline as well as online through their website.

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