fb Placeholder canvas

MBA Business Analytics

MBA Business Analytics

MBA 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. Our School of Management & Commerce provides master's degree in business analytics that prepares 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, 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

  • 19+ 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

Admissions Open 2024!!

Merit-based admission process with online application at Dev Bhoomi Uttarakhand University.

Eligibility & Fee Details

Duration & Eligibility

2 Years

Passed Bachelor Degree of minimum 3 years duration in any discipline. Obtained at least 55% marks (50% in case of candidates belonging to reserved category) in the qualifying Examination).

Fee Structure

Course Total Fees
Academic fee ( Per Sem) ₹ 80000/-

One Time Fee

Application Fee (Non-Refundable) Admission Fee (Non-Refundable) University Enrollment Fee (Non-Refundable)
₹ 1,500 ₹ 7,000 ₹ 3,000
Exam fees ( Per Semester) 4,500/-

Download Fee Structure

Click Here

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

Program Grid Structure


Semester 1

Course Code Course Credit
23MBA101 Principle and Practices of Management 4
23MBA102 Statistical Techniques for Management 4
23MBA103 Business Environment 4
23MBA104 Managerial Economics 4
23MBA105 Organizational Behavior 3
23MBA106 Financial Accounting for Managers 4
23MBBA101 Introduction of Business Analytics 4
23MPBA101 Introduction to Python for Business Analytics 4
23VAM107 Value Added Course – I (Managerial Guidance and Mentoring) 0

Semester 2

Course Code Course Credit
23MBA201 Legal Aspects of Business 4
23MBA202 People Management 4
23MBA203 Digital Marketing 4
23MBA204 Business Research Methods 4
23MBA205 Financial Management 4
23MBA207 Business Policy and Strategic Management 4
23MBBA202 Machine Learning using R 2
23MBBA203 Database & SQL Lab 2
223MPBA202 Data Analysis with Python-Project 2

Semester 3

Course Code Course Credit
23MBA301 Accounting For Management 4
23MBA302 Entrepreneurship Development 4
23MBA303 Production and Operation Management 4
23MBA304 Business Ethics and Corporate Governance 4
23MBBA304 Big Data Analytics 4
23MBBA305 Multivariate data analysis 4
23MPBA303 SIP-Summer Internship/Training Project 2
23MPBA304 Data Visualization Lab 2
23MPBA305 Lab on Big Data Analytics 2

Semester 4

Course Code Course Credit
23MBA401 Project Management 4
23MBA402 International Business 4
23MBA403 Universal Human Values and Professional Ethics 4
23MBBA406 Cyber Security & Law 4
23MBBA107 Predictive Analysis using SPSS 4
23MBBA108 Application of Analytics in HR/Fin/Mktg/Lcm etc 4
23MPBA106 Research Project Report & Viva voce 4

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
close slider

Admission 2023-24

Admission Helpline