MBA- Business Analytics

MBA- Business Analytics

MBA in Business Analytics is a perfect course for those who are looking forward to a career in data analysis. Data-driven decision-making has become an essential aspect of the efficient operation of any firm, and more broadly, of society at large, as a result of the digital era. The programme provides a framework for turning data into insights that can be integrated into a successful business decision-making process. Dev Bhoomi Uttarakhand University (DBUU) provides the best course of  MBA in Business Analytics in Dehradun, preparing the students with technical and managerial coursework required for dealing with prospective challenges in the technology and data - driven multinational environment.

MBA in Business Analytics includes a well-balanced mix of courses on data visualization, modeling, and analysis of various types of data of various sizes, as well as machine learning algorithms, cloud computing, and domain-specific applications of data analytics in Marketing, HR, Finance, Operations, and Public Policy, as well as the skills needed to package analysis output into business implications that can support decision making. The advanced curriculum of the programme at DBUU, best college for MBA in Business Analytics in Dehradun  offers training on Machine Learning, Data Visualization, Database Management, Statistical Analysis, and Social Network Analytics Applications in various business functional areas, including Marketing, Accounting, Operations, Supply Chain, Finance, and human Resources.

Salient Features

  • 17+ years of experience
  • Focus on student-centred learning
  • Problem-based learning and industry-relevant curriculum
  • Best placement opportunities to get placed in high-end and reputed companies
  • Industrial training in reputable firms and organizations
  • The privilege of 100% placement guidance and support
  • Department-organized tech fests and hackathons
  • Industry visits, seminars, workshops, and guest lectures by eminent researchers and industry practitioners
  • Tie up with prominent industries to help students get trained in advanced technologies
  • Active student clubs and bodies
  • The multi-cultural and vibrant teaching environment

Duration & Eligibility

2 Years

The candidate must have cleared a recognized Bachelor's degree in any stream with a minimum of 50% marks.

Fee Structure

Course Fee Structure

Course Total Fees
Academic fee ( Per semester) ₹ 60,000/-

One Time Fee Structure

Application Fees ₹ 1,200 (Non-Refundable)
Admission Fees ₹ 5,000 (Non-Refundable)
Caution Money ₹ 1,500 (Refundable)
University Enrolment Fees ₹ 2,000 (Non-Refundable)

Programme Educational Objectives (PEO's)


PEO-1 To provide a solid grounding in the central concepts, strengths, key technologies, and barriers of business analytics and its applications in different fields
PEO-2 To understand the primary concerns related to the field like data breaches, data masking, etc
PEO-3 To render expertise to provide the relevant business analytics solutions and suggestions as per the applications used
PEO-4 To develop the capacity to recognize the infrastructure and architecture of data

Program Specific Objectives (PSO's)


PSO-1 To impart deep technical knowledge in data & administration with specific business knowledge in artificial intelligence, data science, data structuring and virtual reality
PSO-2 The equip students with the knowledge, concepts, and state-of-the-art analytics practices that will be used in an organization, including the production, supply chain, decision-making, group dynamics, planning, innovation, operations, technologies, marketing and distribution management
PSO-3 To make students potent enough to design alternatives to solve business trials and issues using quantitative research, critical thinking and sound righteous decision making
PSO-4 To demonstrate a global outlook to determine aspects of the global business operations
PSO-5 To assist students in adapting to life-long learning and skills development to improve understanding and competencies in the domain

Job Opportunities The Course Might Lead To

  • Data Scientist
  • Big Data Engineer
  • Financial Analyst
  • Marketing Analytics Manager
  • Quantitative Analyst/Modeller
  • Big Data Scientist
  • Data Business Analyst
  • Analytics Consultant
  • Analytics Associate
  • Metrics Analytics Specialist
  • Database Administrator
  • Retail Sales Analyst
  • Big Data Analyst
  • Machine Learning Engineer
ADMISSION 2022
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Admission 2022-23