BBA Analytics And Big Data - Big Data Analytics And Mining 36 months Undergraduate Programme By UPES |TopUniversities

BBA Analytics And Big Data - Big Data Analytics And Mining

Programme Duration

36 monthsProgramme duration

Tuitionfee

250,000 INRTuition Fee/year

Application Deadline

25 Jan, 2025Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BBA

Study Level

Undergraduate

Study Mode

On Campus

The BBA (Analytics and Big Data) - Big Data Analytics and Mining program at UPES is a specialized undergraduate degree program that focuses on equipping students with the skills and knowledge necessary to work with data and perform analytics tasks. The program combines principles of business administration with technical skills required for data analysis and interpretation. Students will learn various analytical techniques and tools to extract meaningful insights from large volumes of data.
The specialization in Big Data Analytics and Mining within the program offers advanced courses that delve into specific topics related to big data analytics. These topics may include Text Mining and Natural Language Processing, Web Mining and Social Network Analysis, Data Visualization and Storytelling, and Big Data Analytics Platforms. This specialization prepares students for a wide range of career paths in the field of data analytics, including roles such as data analyst, data scientist, business intelligence analyst, data engineer, data consultant, and data strategist. Graduates can find employment opportunities in industries such as finance, marketing, healthcare, e-commerce, consulting, and more.
The BBA (Analytics and Big Data) - Big Data Analytics and Mining program at UPES provides students with a comprehensive learning experience. It is a full-time course designed to support fast-track career progression by developing leadership and strategic management skills. The three-year program includes summer internships, live projects with companies, industrial tours, a dissertation (major project), and talks from industry experts. This hands-on approach allows students to apply their knowledge in real-world scenarios and gain practical industry experience.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

BBA

Study Level

Undergraduate

Study Mode

On Campus

The BBA (Analytics and Big Data) - Big Data Analytics and Mining program at UPES is a specialized undergraduate degree program that focuses on equipping students with the skills and knowledge necessary to work with data and perform analytics tasks. The program combines principles of business administration with technical skills required for data analysis and interpretation. Students will learn various analytical techniques and tools to extract meaningful insights from large volumes of data.
The specialization in Big Data Analytics and Mining within the program offers advanced courses that delve into specific topics related to big data analytics. These topics may include Text Mining and Natural Language Processing, Web Mining and Social Network Analysis, Data Visualization and Storytelling, and Big Data Analytics Platforms. This specialization prepares students for a wide range of career paths in the field of data analytics, including roles such as data analyst, data scientist, business intelligence analyst, data engineer, data consultant, and data strategist. Graduates can find employment opportunities in industries such as finance, marketing, healthcare, e-commerce, consulting, and more.
The BBA (Analytics and Big Data) - Big Data Analytics and Mining program at UPES provides students with a comprehensive learning experience. It is a full-time course designed to support fast-track career progression by developing leadership and strategic management skills. The three-year program includes summer internships, live projects with companies, industrial tours, a dissertation (major project), and talks from industry experts. This hands-on approach allows students to apply their knowledge in real-world scenarios and gain practical industry experience.

Admission Requirements

1080+
Minimum 50% marks in Classes X and XII

25 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

Domestic
250,000 INR
International
250,000 INR

Scholarships

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