New! ODL -DEB Proposal 2023-2024 New! Admission 2024-2025 Admissions - AHS Chat with a Student

M.B.A. (Business Analytics)


To be a Centre of Excellence in Management Studies and Commerce, imparting and developing Managerial leadership and entrepreneurial skills to students and provide managers for the global market.


  • To provide an affordable opportunity for diverse group of students and other stakeholders to learn by synergizing education, research, innovation and outreach efforts.
  • To inculcate self-discipline, values, ethics and devotion to duty among the students to make them good citizens, leaders, professionals & entrepreneurs.
  • To develop the future business leaders through imparting high quality analytical ability & decision-making capability.
  • To offer exposure to global business standards and inculcate strategic management aspirations.

Programme Educational Objectives (PEOs)

Programme Educational Objectives (PEOs)

PEO 1: To provide best quality of education and prepare the students to meet global standards and

competitive environment.

PEO 2: To inculcate team spirit and leadership capabilities among students to develop business leaders  attain organizational development.

PEO 3: To impart ethical and moral values to create better citizens and society.

PEO 4: To develop entrepreneurial skills to think strategically and encourage them to become


Programme Outcomes (POs) & Programme Specific Outcomes(PSOs)

Program Outcomes (POs)

PO 1: Apply knowledge of management theories and practices to solve business problems.

PO 2: Foster Analytical and critical thinking abilities for data-based decision making.

PO 3: Ability to develop Value based Leadership ability.

PO 4: Ability to understand, analyze and communicate global, economic, legal, and ethical aspects of Business.

PO 5: Ability to lead themselves and others in the achievement of organizational goals, contributing effectively to a team environment.

PO 6: Create, select and apply appropriate modern tools & techniques for analyzing, interpreting and solving business complexities.

PO 7: Develop an aptitude for creativity, innovation and entrepreneurship.

PO 8: Adapt life-long learning and professional development to enrich knowledge and competencies.

Program Specific Outcomes (PSOs)

PSO 1: Apply analytics principles to integrated business activities to articulate and deliver customer oriented quality outcomes within legal and ethical frameworks.

PSO 2: Develop operations to source and utilize appropriate analytics to support the implementation of business strategies and manage resources to improve business operations.

PSO 3: Utilize state-of-the-art analytics practices to implement strategic and operational concepts and techniques that underpin business for domestic and international markets.

Curriculum & Syllabus

Curriculum & Syllabus

Total Credits : 102

SEMESTER IHour / WeekMaximum Marks
23CMBN11Managerial Concepts and Organizational Behaviour40044060100
23CMBN12Business Statistics for Data Science31044060100
23CMBN13Managerial Economics40044060100
23CMBN14Accounting and Finance for Data Science31044060100
23CMBN15Legal and Business Environment40044060100
23CMBN16Soft Skills and Etiquette for Managers40044060100
23PMBN11Database Management System & SQL00214060100
23PMBN12Data Visualization using R and Python (IBM)00214060100
23PMBN13Business Analytics with Spreadsheet00214060100
23PMBN14PRACTICAL - MOOC I00214060100

View Full Curriculum

Eligibility Criteria

ProgramProgram Duration (Year)EligibilityCriteria for Merit
M.B.A. Business Analytics2 Years (4 Semesters)Any Bachelor Degree of Minimum 3 years duration
10+2+3 pattern or 10+2+4 pattern of Education
Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination.
Merit based on percentage of marks secured in the qualifying examination and score secured in CAT, MAT, XAT, VELS Entrance Test

Career Prospects


  • Data analyst
  • Supply chain analyst
  • Big Data analyst
  • Business analyst
  • Predictive modeler
  • Technology analyst
  • Analytics managers
  • Data architect
  • Market research analyst
  • Data scientist
  • Business intelligence manager
  • Customer insights analyst
  • Management analyst
  • Health care Analysts
  • IT analyst


Alumni Testimonials

Fees Structure

Tuition Fee 2024 - 2025 (Per Sem)Other Fee (Per Sem)
Total Fee 2024 - 2025 (Per Sem)
77,00054,0001,31,000 + One Time Fees - Rs. 35,000