B. Sc. - (Computer Science) in Data Science
36 monthsProgramme duration
152,000 INRTuition Fee/year
21 Jan, 2025Application Deadline
SepStarting Month
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The B.Sc. Computer Science (Data Science) program offered by UPES School of Computer Science is meticulously crafted to provide students with a comprehensive understanding of various aspects of data science and its applications. This degree equips students with a solid foundation in forecasting, predictive modeling, and statistical fundamentals. The curriculum places a strong emphasis on the mathematical underpinnings essential for effective data analysis.
By offering exposure to a diverse range of industry-standard tools like NoSQL, Data Warehousing, PyTorch, Tableau, R, and Splunk, the program ensures that students gain practical skills that are directly applicable in real-world scenarios. Furthermore, the program delves deep into the realms of statistics and mathematical simulations, empowering students to excel in the dynamic field of predictive analytics and simulation work. These skills are not only in high demand across various industries but also play a pivotal role in shaping professionals capable of contributing to the creation of the Meta Verse.
In conclusion, UPES School of Computer Science's B.Sc. Computer Science (Data Science) program is designed to provide students with a comprehensive education that combines theoretical knowledge with practical skills. The curriculum covers a wide array of topics, including forecasting, predictive modeling, statistical analysis, and the utilization of essential data science tools. By nurturing a strong foundation in both mathematical principles and industry-relevant applications, the program prepares students to meet the demands of the rapidly evolving field of data science and predictive analytics, while also fostering their potential to contribute to cutting-edge developments such as Meta Verse technology.
By offering exposure to a diverse range of industry-standard tools like NoSQL, Data Warehousing, PyTorch, Tableau, R, and Splunk, the program ensures that students gain practical skills that are directly applicable in real-world scenarios. Furthermore, the program delves deep into the realms of statistics and mathematical simulations, empowering students to excel in the dynamic field of predictive analytics and simulation work. These skills are not only in high demand across various industries but also play a pivotal role in shaping professionals capable of contributing to the creation of the Meta Verse.
In conclusion, UPES School of Computer Science's B.Sc. Computer Science (Data Science) program is designed to provide students with a comprehensive education that combines theoretical knowledge with practical skills. The curriculum covers a wide array of topics, including forecasting, predictive modeling, statistical analysis, and the utilization of essential data science tools. By nurturing a strong foundation in both mathematical principles and industry-relevant applications, the program prepares students to meet the demands of the rapidly evolving field of data science and predictive analytics, while also fostering their potential to contribute to cutting-edge developments such as Meta Verse technology.
Programme overview
Main Subject
Data Science and Artificial Intelligence
Degree
BSc
Study Level
Undergraduate
Study Mode
On Campus
The B.Sc. Computer Science (Data Science) program offered by UPES School of Computer Science is meticulously crafted to provide students with a comprehensive understanding of various aspects of data science and its applications. This degree equips students with a solid foundation in forecasting, predictive modeling, and statistical fundamentals. The curriculum places a strong emphasis on the mathematical underpinnings essential for effective data analysis.
By offering exposure to a diverse range of industry-standard tools like NoSQL, Data Warehousing, PyTorch, Tableau, R, and Splunk, the program ensures that students gain practical skills that are directly applicable in real-world scenarios. Furthermore, the program delves deep into the realms of statistics and mathematical simulations, empowering students to excel in the dynamic field of predictive analytics and simulation work. These skills are not only in high demand across various industries but also play a pivotal role in shaping professionals capable of contributing to the creation of the Meta Verse.
In conclusion, UPES School of Computer Science's B.Sc. Computer Science (Data Science) program is designed to provide students with a comprehensive education that combines theoretical knowledge with practical skills. The curriculum covers a wide array of topics, including forecasting, predictive modeling, statistical analysis, and the utilization of essential data science tools. By nurturing a strong foundation in both mathematical principles and industry-relevant applications, the program prepares students to meet the demands of the rapidly evolving field of data science and predictive analytics, while also fostering their potential to contribute to cutting-edge developments such as Meta Verse technology.
By offering exposure to a diverse range of industry-standard tools like NoSQL, Data Warehousing, PyTorch, Tableau, R, and Splunk, the program ensures that students gain practical skills that are directly applicable in real-world scenarios. Furthermore, the program delves deep into the realms of statistics and mathematical simulations, empowering students to excel in the dynamic field of predictive analytics and simulation work. These skills are not only in high demand across various industries but also play a pivotal role in shaping professionals capable of contributing to the creation of the Meta Verse.
In conclusion, UPES School of Computer Science's B.Sc. Computer Science (Data Science) program is designed to provide students with a comprehensive education that combines theoretical knowledge with practical skills. The curriculum covers a wide array of topics, including forecasting, predictive modeling, statistical analysis, and the utilization of essential data science tools. By nurturing a strong foundation in both mathematical principles and industry-relevant applications, the program prepares students to meet the demands of the rapidly evolving field of data science and predictive analytics, while also fostering their potential to contribute to cutting-edge developments such as Meta Verse technology.
Admission Requirements
1080+
50% marks in class X and XII with Mathematics/ Computer Science/ Information Technology as one of the major Subject in Class XII.
21 Jan 2025
3 Years
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
152,000 INR
International
152,000 INR
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