MBA (Business Analytics in collaboration with KPMG) - Data Mining
24 monthsProgramme duration
676,000 INRTuition Fee/year
21 Jan, 2025Application Deadline
SepStarting Month
Programme overview
Main Subject
Business Analytics
Degree
MBA
Study Level
MBA
Study Mode
On Campus
The MBA Business Analytics program in collaboration with KPMG at UPES emphasizes the integration of business administration principles with analytical techniques to address complex business challenges. Through this program, students acquire the necessary skills to extract meaningful insights from extensive datasets and make informed decisions based on data-driven approaches. The partnership between UPES and KPMG enriches the curriculum by incorporating real-world insights, industry practices, and expert lectures delivered by professionals from KPMG. This collaboration opens avenues for students to engage in projects and networking opportunities, thereby further enhancing their learning experience and career prospects.
The MBA in Business Analytics program at UPES entails a comprehensive mix of core business courses, specialized analytics courses, and hands-on projects. The curriculum encompasses practical applications of analytics techniques through real-world projects, case studies, and internships. By engaging in these activities, students gain valuable exposure to apply analytics tools and methodologies to solve business problems. The program emphasizes the development of analytical skills and expertise in areas such as data mining, predictive analytics, machine learning, statistical modeling, data visualization, and big data management. This equips students with the necessary knowledge and techniques to extract insights from large datasets and utilize them in making strategic business decisions.
Within the MBA Business Analytics program, a specialization in data mining focuses on teaching students the fundamental techniques and tools essential for identifying and interpreting valuable patterns within datasets. The coursework typically covers topics like data preprocessing, data mining algorithms, pattern recognition, clustering, classification, and data visualization. By delving into these areas, students gain a deep understanding of how to effectively mine data for valuable information and patterns. This specialization equips students with the necessary skills to contribute to data-driven decision-making processes within organizations, enabling them to play a vital role in leveraging data for competitive advantage.
The MBA in Business Analytics program at UPES entails a comprehensive mix of core business courses, specialized analytics courses, and hands-on projects. The curriculum encompasses practical applications of analytics techniques through real-world projects, case studies, and internships. By engaging in these activities, students gain valuable exposure to apply analytics tools and methodologies to solve business problems. The program emphasizes the development of analytical skills and expertise in areas such as data mining, predictive analytics, machine learning, statistical modeling, data visualization, and big data management. This equips students with the necessary knowledge and techniques to extract insights from large datasets and utilize them in making strategic business decisions.
Within the MBA Business Analytics program, a specialization in data mining focuses on teaching students the fundamental techniques and tools essential for identifying and interpreting valuable patterns within datasets. The coursework typically covers topics like data preprocessing, data mining algorithms, pattern recognition, clustering, classification, and data visualization. By delving into these areas, students gain a deep understanding of how to effectively mine data for valuable information and patterns. This specialization equips students with the necessary skills to contribute to data-driven decision-making processes within organizations, enabling them to play a vital role in leveraging data for competitive advantage.
Programme overview
Main Subject
Business Analytics
Degree
MBA
Study Level
MBA
Study Mode
On Campus
The MBA Business Analytics program in collaboration with KPMG at UPES emphasizes the integration of business administration principles with analytical techniques to address complex business challenges. Through this program, students acquire the necessary skills to extract meaningful insights from extensive datasets and make informed decisions based on data-driven approaches. The partnership between UPES and KPMG enriches the curriculum by incorporating real-world insights, industry practices, and expert lectures delivered by professionals from KPMG. This collaboration opens avenues for students to engage in projects and networking opportunities, thereby further enhancing their learning experience and career prospects.
The MBA in Business Analytics program at UPES entails a comprehensive mix of core business courses, specialized analytics courses, and hands-on projects. The curriculum encompasses practical applications of analytics techniques through real-world projects, case studies, and internships. By engaging in these activities, students gain valuable exposure to apply analytics tools and methodologies to solve business problems. The program emphasizes the development of analytical skills and expertise in areas such as data mining, predictive analytics, machine learning, statistical modeling, data visualization, and big data management. This equips students with the necessary knowledge and techniques to extract insights from large datasets and utilize them in making strategic business decisions.
Within the MBA Business Analytics program, a specialization in data mining focuses on teaching students the fundamental techniques and tools essential for identifying and interpreting valuable patterns within datasets. The coursework typically covers topics like data preprocessing, data mining algorithms, pattern recognition, clustering, classification, and data visualization. By delving into these areas, students gain a deep understanding of how to effectively mine data for valuable information and patterns. This specialization equips students with the necessary skills to contribute to data-driven decision-making processes within organizations, enabling them to play a vital role in leveraging data for competitive advantage.
The MBA in Business Analytics program at UPES entails a comprehensive mix of core business courses, specialized analytics courses, and hands-on projects. The curriculum encompasses practical applications of analytics techniques through real-world projects, case studies, and internships. By engaging in these activities, students gain valuable exposure to apply analytics tools and methodologies to solve business problems. The program emphasizes the development of analytical skills and expertise in areas such as data mining, predictive analytics, machine learning, statistical modeling, data visualization, and big data management. This equips students with the necessary knowledge and techniques to extract insights from large datasets and utilize them in making strategic business decisions.
Within the MBA Business Analytics program, a specialization in data mining focuses on teaching students the fundamental techniques and tools essential for identifying and interpreting valuable patterns within datasets. The coursework typically covers topics like data preprocessing, data mining algorithms, pattern recognition, clustering, classification, and data visualization. By delving into these areas, students gain a deep understanding of how to effectively mine data for valuable information and patterns. This specialization equips students with the necessary skills to contribute to data-driven decision-making processes within organizations, enabling them to play a vital role in leveraging data for competitive advantage.
Admission Requirements
2.7+
400+
- Minimum 50% marks in Classes X, XII and Graduation.
- Graduation From a recognized University in any stream
21 Jan 2025
2 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
676,000 INR
International
676,000 INR
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