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HomeUniversitiesUPESMBA (Business Analytics in collaboration with KPMG) - Data Mining
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.
Program 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.
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Undergraduate admission varies by course but generally requires 12th standard/senior secondary marks, meeting eligibility criteria and qualifying exam scores like JEE or UPES-DAT.
UPES also offers several online MBA courses – ideal for students who aren’t able to study at the campus or want the flexibility of balancing their studies with personal and professional commitments.
These include:
MBA in Logistics and Supply Chain Management
MBA in Oil and Gas Management
MBA (General) with a specialisation in Business Analytics
MBA (General) with a specialisation in Marketing Management
MBA (General) with a specialisation in Finance Management
MBA (General) with a specialisation in Human Resource Management
UPES offers and manages a range of funding opportunities for postgraduate students, including MBA scholarships, alumni scholarships, and Fellowships for MTech and MDes programmes.
If you’d like to apply to study a postgraduate programme at UPES, visit their website for further details. International students can also find tailored information about the international application process and student experience at UPES.
Postgraduate admissions vary by course but generally require a relevant bachelor's degree, qualifying exam scores if applicable, academic transcripts, CV, letters of recommendation, and essay/interview.
MBA (Business Analytics in collaboration with KPMG) - Data Mining
UPES Energy Acres, Dehradun, India
24 monthsProgram duration
676,000 INRTuition Fee/year
21 Jan, 2025Application Deadline
YesScholarships
Program overview
Main Subject
Business Analytics
Degree
MBA
Study Level
MBA
Study Mode
On Campus
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.
Program overview
Main Subject
Business Analytics
Degree
MBA
Study Level
MBA
Study Mode
On Campus
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
Exam Scores
Important Dates
Application
Tuition fee and scholarships
Tuition Fee
Scholarships
Domestic Students
International Students
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
More programs from the university
Bachelor UG
Master PG
MBA
PHD
UPES provides undergraduate programmes covering a broad range of disciplines, sectors and industries, including:
Undergraduate admission varies by course but generally requires 12th standard/senior secondary marks, meeting eligibility criteria and qualifying exam scores like JEE or UPES-DAT.
School of Advanced Engineering (8)
B. Sc. Physics - Material Science And Nanotechnology (4 year)
B. Tech. (Applied Petroleum Engineering) - Gas Engineering Informatics
B. Tech. Applied Petroleum Engineering - Intelligent Petroleum Systems
B.Sc. (Hons.) Chemistry - Industrial Chemistry
B.Sc. (Hons.) Chemistry - Polymer Chemistry
B.Sc. (Hons.) Geology - Geoinformatics
B.Sc. (Hons.) Mathematics - Computational Mathematics
B.Sc. (Hons.) Mathematics - Data Science
B.Sc. (Hons.) Physics - Astronomy and Astrophysics
B.Sc. (Hons.) Physics - Computational Physics
B.Tech (Electrical Engineering) - 5G & 6G Technology
B.Tech (Electronics and Computer Engineering) - 5G & 6G Technology
B.Tech Electronics And Computer Engineering - AI and ML Applications
B.Tech Sustainability Engineering - Circular Economy
B.Tech Sustainability Engineering - Sustainable Management
B.Tech. (Aerospace Engineering) - Defence Technology
B.Tech. (Aerospace Engineering) - Space Technology
B.Tech. (Automotive Engineering) - E-Mobility
B.Tech. (Chemical Engineering) - Digitization of Process Technology
B.Tech. (Chemical Engineering) - Energy Systems and Storage
B.Tech. (Chemical Engineering) - Refining & Petrochemicals
B.Tech. (Civil Engineering) - Construction Management
B.Tech. (Civil Engineering)- Environmental Engineering
B.Tech. (Civil Engineering)- Transportation Engineering
B.Tech. (Electrical Engineering) - E-Vehicle and Industrial Drives
B.Tech. (Electrical Engineering) - Wearable Devices
B.Tech. (Electronics And Computer Engineering) - E-Vehicle and Industrial Drives
B.Tech. (Electronics And Computer Engineering) - Wearable Devices
B.Tech. (Fire and Safety Engineering)
B.Tech. (Mechanical Engineering) - Advanced Manufacturing
B.Tech. (Mechanical Engineering) - Defence Technology
B.Tech. (Mechanical Engineering) - Mechatronics
B.Tech. Aerospace Engineering (Avionics)
B.Tech. Applied Petroleum Engineering - Energy Systems and Storage
B.Tech. Electrical Engineering - AI & ML Applications
B.Tech. Electrical Engineering - Microelectronics
B.Tech. Electronics and Computer Engineering - Microelectronics
School of Business (8)
B.Com (Hons) - Banking and Insurance
B.Com (Hons) - E-Commerce
BBA (Logistics Management) - Logistics Management
BBA (Logistics Management) - Service Operations and Procurement
BBA - Finance Management
BBA - Human Resource
BBA - Marketing Management
BBA - Operations Management
BBA Analytics & Big Data - Programming For Analytics
BBA Analytics And Big Data - Big Data Analytics And Mining
Integrated (B.Com (Hons)) - (MBA) - Banking and Insurance
Integrated (B.Com (Hons)) - (MBA) - E-Commerce
Integrated (BBA) – (MBA) (Marketing Management)
Integrated (BBA) – (MBA) - Finance Management
Integrated (BBA) – (MBA) - Human Resource
Integrated (BBA) – (MBA) - Operations Management
School of Computer Science (8)
B. Sc. (Computer Science) - Cyber Security and Forensics
B. Sc. - (Computer Science) in Data Science
B. Sc.- (Computer Science) in Artificial Intelligence / Machine Learning
B. Tech (Hons) Computer Science and Engineering - Big Data
B. Tech (Hons) Computer Science and Engineering- Internet of Things
B.Tech (Hons) Computer Science and Engineering - Artificial Intelligence and Machine Learning
B.Tech (Hons) Computer Science and Engineering - Cloud Computing and Virtualization Technology
B.Tech (Hons) Computer Science and Engineering - Cyber Security and Forensics
B.Tech (Hons) Computer Science and Engineering - Data Science
B.Tech (Hons) Computer Science and Engineering - DevSecOps
B.Tech (Hons) Computer Science and Engineering - Graphics and Gaming
B.Tech (Hons) Computer Science and Engineering- Full Stack AI
Bachelor of Computer Application (BCA) - Artificial Intelligence
Bachelor of Computer Application (BCA) - Cyber Security and Digital Forensics
Bachelor of Computer Application (BCA) - Data Science
School of Design (8)
B.Des. (Animation and VFX)
B.Des. (Game Design)
B.Des. (Graphics & Communication Design)
B.Des. (Interior and Retail Spaces Design)
B.Des. (Mobility and Vehicle Design)
B.Des. (Product Design)
B.Des. (User Experience and Interaction Design)
School of Health Sciences (8)
B. Pharmacy
B. Sc. (Clinical Research)
B. Sc. (Food, Nutrition and Dietetics)
B. Sc. (Microbiology)
B. Tech (Biotechnology)
B. Tech (Food Technology)
B.Tech. (Biomedical Engineering)
School of Law (8)
BA LL.B. (Hons.)
BBA LL.B. (Hons.)
Bachelor of Law - LL.B.
School of Liberal Studies (8)
B.Sc. (Hons.) - Economics and Finance
B.Sc. (Hons.) - Economics with Data Science
B.Sc. (Hons.) - Psychology and Behaviour
BA (Hons.) - English
BA (Hons.) - History
BA (Hons.) - Political Science
BA Digital and Mass Media (Broadcasting) - Digital Audio Broadcasting: Radio Production, Podcasts and Distribution
BA Digital and Mass Media (Broadcasting) - Digital Studio Management: Live Broadcasting and Floor Production
BA Journalism and Mass Communication (Digital) - Data, Analytics & Visualisation
BA Journalism and Mass Communication (Digital) - Digital Publishing / Website Management
BA Journalism and Mass Communication (Digital) - Media Management, Public Policy and Strategic Communications
BA Journalism and Mass Communication (Digital) - Social Media and Search Engine Optimisation
School of Modern Media (8)
BA Digital and Mass Media (Broadcasting) - Mobile Journalism (Mojo): Digital Video Production and Monetisation
UPES offers master’s and PhD programmes covering a wide range of sectors, industries and disciplines. A selection of their courses include:
UPES also offers several online MBA courses – ideal for students who aren’t able to study at the campus or want the flexibility of balancing their studies with personal and professional commitments.
These include:
UPES offers and manages a range of funding opportunities for postgraduate students, including MBA scholarships, alumni scholarships, and Fellowships for MTech and MDes programmes.
If you’d like to apply to study a postgraduate programme at UPES, visit their website for further details. International students can also find tailored information about the international application process and student experience at UPES.
Postgraduate admissions vary by course but generally require a relevant bachelor's degree, qualifying exam scores if applicable, academic transcripts, CV, letters of recommendation, and essay/interview.
School of Advanced Engineering (7)
M. Sc. Chemistry - Polymer Science
M. Sc. Physics - Material Science and Nanotechnology
M. Tech Petroleum Engineering
M. Tech. Chemical Engineering
M. Tech. Construction Technology and Management
M. Tech. Renewable Energy
M. Tech. Sustainability Engineering
M.Sc (Mathematics) - Applied Mathematics
M.Sc (Mathematics) - Pure Mathematics
M.Sc. (Chemistry) – Organic Chemistry
M.Sc. Applied Geology
M.Sc. Chemistry - Instrumental Chemical Analysis
M.Sc. Physics - Astronomy and Astrophysics
M.Tech. - Health, Safety and Environment
M.Tech. Computational Fluid Dynamics
M.Tech. E-Mobility
M.Tech. Robotics Engineering
School of Computer Science (7)
M. Tech (Computer Science and Engineering) - Artificial Intelligence
M. Tech (Computer Science and Engineering) - Cyber Security and Forensics
Master of Computer Application (MCA) - Artificial Intelligence and Machine Learning
Master of Computer Application (MCA) - Cloud Computing and Cybersecurity
Master of Computer Application (MCA) - Data Science
School of Design (7)
M.Des. (Communication Design)
M.Des. (Interaction Design)
M.Des. (Product Design)
M.Des. (Transportation Design)
School of Health Sciences (7)
M. Sc. (Microbiology) - Food and Environmental Microbiology
M. Sc. (Microbiology) - Medical and Pharmaceutical Microbiology
M. Sc. (Nutrition and Dietetics) - Dietetics and Holistic Wellness
M. Sc. (Nutrition and Dietetics) - Nutraceutical and Nutritional Policy
School of Law (7)
LL.M. (Master of Laws)
School of Liberal Studies (7)
MA Journalism and Mass Communication (Digital)
School of Modern Media (7)
MA Digital and Mass Media (Broadcasting)
Full-Time MBA (1)
MBA (Aviation Management) - Airline Service Operations
MBA (Aviation Management) - Aviation Enterprise Management
MBA (Business Analytics in collaboration with KPMG) - Data Mining
MBA (Business Analytics in collaboration with KPMG) - Energy Analytics
MBA (Digital Business) - Cloud Computing
MBA (Digital Business) - Web Design and Development
MBA (Logistics and Supply Chain Management) - Business Process in Supply Chain
MBA (Logistics and Supply Chain Management) - Logistics Planning/Supply Chain
MBA (Metaverse and web3.0) - Metaverse
MBA (Metaverse and web3.0) - Web 3.0
MBA (Oil and Gas Management) - Natural Gas Business
MBA (Oil and Gas Management) - Petroleum Marketing and Business Development
MBA (Power Management) - Green Energy and Transition to Sustainability
MBA (Power Management) - Power Business and Regulations
MBA - Finance Management
MBA - Human Resource
MBA - Marketing Management
MBA - Operations Management
MBA Business Analytics in Collaboration With KPMG - Cognitive Analytics
MBA Strategy & Consulting in Collaboration with KPMG - Business Strategy & Transformation
MBA Strategy & Consulting in Collaboration with KPMG - Corporate Strategy & Innovation Management
MBA in International Business
School of Advanced Engineering (7)
PhD (Engineering)
School of Business (7)
PhD (Business)
School of Computer Science (7)
PhD (Computer Science and Engineering)
PhD (Computer Science)
School of Design (7)
PhD (Design)
School of Health Sciences (7)
PhD (Biomedical Engineering)
PhD (Biotechnology)
PhD (Microbiology)
School of Law (7)
PhD (Law)
School of Liberal Studies (7)
PhD (Liberal Studies)