MBA (Business Analytics In Collaboration With KPMG) - Data Mining

MBA Business Analytics in Collaboration With KPMG - DATA MINING

Program details

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 Highlights

  • Students undertake major projects, summer internships, and live projects with companies, providing them with practical experience and exposure to real-world case studies, industry visits, and guest lectures from industry experts.
  • The program allows students to choose between two career paths, either specializing in analytics and data-driven decision making for business or pursuing a consulting role, providing flexibility and options based on their interests and goals.
  • Students gain proficiency in a wide range of programming skills, software, and technology including SPSS, Tableau, Power BI, Advanced Excel, Analytics tools (like R-studio), Python, SQL, etc., ensuring they are equipped with the necessary tools to excel in the field of business analytics.
  • The MBA Business Analytics program encourages student and faculty exchange, research projects, seminars, conferences, and internships, fostering collaboration and networking opportunities with industry professionals and leading global partner management institutes of UPES.
  • The UPES School of Business provides state-of-the-art facilities, including modern smart classrooms, a well-equipped Analytics Lab, a well-stocked library, and advanced analytical tools, ensuring a conducive learning environment.
  • Students have the opportunity to participate in student exchange programs, study abroad, and semester exchange programs with leading global partner management institutes of UPES, enabling them to gain international exposure and broaden their perspectives.

The future for MBA Business Analytics with specialization in data mining in collaboration with KPMG looks promising. The growing importance of data-driven decision-making in today's business landscape has increased the demand for professionals skilled in business analytics and data mining. Organizations across industries recognize the value of leveraging data to gain insights, optimize operations, and make informed decisions. This specialized MBA program at UPES provides the necessary skill set to tap into these opportunities. Advancements in technology will drive the need for more sophisticated analytics techniques, including machine learning, artificial intelligence, natural language processing, and predictive modeling. Professionals with expertise in these areas will be highly sought after to develop and implement advanced analytics solutions. Effective communication of insights is also crucial, with professionals who can visualize data, create compelling visualizations, and communicate findings to non-technical stakeholders having a competitive advantage.

Career Opportunities

Completing the MBA Business Analytics in collaboration with KPMG (Data Mining) program offered by UPES School of Business opens up a wide range of promising career opportunities. With the growing importance of data-driven decision-making in today's business landscape, organizations are seeking professionals equipped with the skills to extract meaningful insights from vast amounts of data. Graduates of this program possess a comprehensive understanding of business analytics, data mining techniques, and strategic management, making them highly sought after in various industries. They can pursue lucrative careers as data analysts, business intelligence managers, data scientists, or consultants, helping organizations harness the power of data to drive innovation, improve operational efficiency, and achieve sustainable growth. Moreover, the collaboration with KPMG provides students with valuable industry exposure and practical experience, enhancing their employability and opening doors to exciting opportunities within the consulting domain.

The listed options below outline the potential professional pathways that students can explore in the field of Business Analytics.

  • Data Analyst
  • Business Intelligence Manager
  • Data Scientist
  • Analytics Consultant
  • Business Analyst
  • Data Mining Specialist
  • Risk Analyst


The placement prospects for students pursuing an MBA in Business Analytics, specializing in Data Mining, have significantly improved in recent years. Renowned companies such as Flipkart, Reliance Industries, HUL, GATI KWE, Adani Wilmar, Accenture, Deloitte, Kuehne Nagel, Xiaomi, TATA Croma, Odex, Transystem, and PI Industries, among others, provide attractive employment opportunities for these students. Furthermore, numerous mid-sized start-ups express a strong interest in hiring our postgraduate students. The available job roles for MBA graduates include Demand Planner, Supply Planner, Logistics Network Design, Supply Chain Analyst, Production Planning, Procurement, and Business Analyst. Freshers with an MBA in Business Analytics, specializing in Data Mining, can typically expect a starting salary ranging from INR 6 to 30 lakh per annum. The salary offered is dependent on the candidate's skills, knowledge, and level of experience.

Fee Structure

Click here for detailed Fee Structure.


Semester 1

Organizational Behaviour3003
Marketing Management3003
Managerial Economics3003
Accounting for Managers3003
Quantitative Techniques for Managers3003
Business Communication 2002
Programming for Analytics2023
Business Environment2002
TOTAL   22

Semester 2

Human Resource Management3003
Financial Management3003
Operations Management3003
Predictive Modeling3003
Business Research Methods3003
Industrial Visit2002
Business Ethics and CSR2023
Managing Digital Transformation2002
Specialization Paper-II 
(Specialization I: Cognitive 
Analytics, Course-Natural 
Language Processing, 
Specialization II: Data Mining, 
Course- Overview of Data Mining)
Business Analytics3003
TOTAL   27

Semester 3

Organizational Behaviour3003
Marketing Management3003
Managerial Economics3003
Accounting for Managers3003
Quantitative Techniques for Managers3003
Business Communication 2002
Programming for Analytics2023
Business Environment2002
TOTAL   22

Semester 4

Social & Web Analytics3003
Innovation and Entrepreneurship 3003
Environmental, Social and Governance3003
AI for Managers3003
TOTAL   16


The minimum eligibility criteria for MBA Business Analytics in collaboration with KPMG (Data Mining) to be fulfilled by interested students is as follows: Minimum 50% marks in Class X, XII and Graduation. Graduation From a recognized University in any stream

Selection Criteria

The process of selection criteria for students interested in pursuing MBA Business Analytics in collaboration with KPMG (Data Mining) offered by UPES is based on the individual's performance in UPESMET / National Level Exams/ CUET followed by Personal Interview.

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