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B.B.A. | Business Analytics

Programme Overview

  • The Bachelor in Business Administration (Business Analytics) programme is designed to meet a growing need for graduates with a sound
    education in business and the specialist skills to help organisations
    understand their customers, forecast future demand and use big
    data to make effective decisions.
  • Students take a deep dive into the area of business analytics, and can expect to find remunerative jobs in the areas of Risk Analysis,
    Data Analysis and as a Data Scientist.

Career Options

  • Risk Analyst
  • Data Analyst
  • Data Scientist

Key Features

  • Global Immersion Model (GIM)-Students pursuing a short term course (2 or 3 modules of a particular course in an International University) or International faculty visiting and handling one or two modules of a particular course.
  • Part of the curriculum is delivered by practising managers in
    Industry-facing classrooms.
  • Faculty team drawn from Academia as well as Corporate sector.
  • International Internships
  • Live interaction with Corporate leaders on a weekly basis from
    around the world.
  • International seminars / Conferences.
  • Experiential learning imparted through participation in vibrant
    campus activities, directed by various clubs covering diverse Interests.
  • Multiple internship programmes – Minor internship programme, Summer
    internship programme and Community internship programme.

Programme Educational Objectives

  • To provide students with comprehensive business management knowledge that can help them to be a business leader and successfully manage the organisations.
  • To imbibe the required conceptual, analytical, technical, entrepreneurial and human relation skills to be an effective management professional and ethical and responsible citizen.
  • To equip the students with professional competence to do higher studies, research, lifelong learning for continuous growth and development.

Programme Outcomes

  • Nurture the requisite business acumen that helps students to understand the key business functions and identify business opportunities for efficient business management.
  • Acquire knowledge and skills in the field of management to understand business problems and design its solutions.
  • Demonstrate critical thinking skills in understanding managerial issues, problems and business opportunities in a global business setting.
  • Develop ethical sensitivity while making business decisions so as to enjoy sustainable business success.

Programme Duration

3 Years / 6 Semesters

 Programme Type


Eligibility Criteria

Candidates should have passed in 10+2/PUC or Equivalent in any stream.


Programme Structure

I Semester

II Semester

III Semester

IV Semester

V Semester

VI Semester


IBM Analytics Lab

CMR University and IBM have collaborated to setup an IBM Analytics Lab at CMR University, City Campus to help students enhance their skills in the areas of Business Analytics, Business Intelligence and Big Data. The students receive joint certification from IBM and CMRU on successful completion of the course.

As a part of this initiative, experts from IBM have trained faculty members at CMR University who will further train the post graduate and graduate students. The courses covered in the certification programme are:

    1. 1. IBM CE – Enablement Program- Foundation in Business Intelligence using Cognos BI (Descriptive
    2. 2. IBM CE- Enablement Programme – Foundation in Predictive Analytics using SPSS Statistics
    3. 3. IBM CE- Enablement Programme – Big Data Analytics for Business Analysts


Common Computer Lab

CMR University provide opportunities for the students to complete their assignments or to undertake course-related projects on computers in this lab.

Students, faculty and staff have access to the computer lab, which provide the tools and technologies to complete class assignments, edit papers, communicate via email and conduct data analyses. This lab is a multi-purpose technology and collaborative workspace located at the basement of the city campus. The lab is dedicated to meeting the teaching, learning and research needs of the faculty, staff and students.

Assessment and Evaluation

The University follows Choice Based Credit System (CBCS), which provides choice for students to select from the prescribed set of courses and earn credits. Students are awarded grades based on their performance for each courses in a semester and Semester Grade Point Average (SGPA), which is a measure of academic performance of a student in a semester. Cumulative Grade Point Average (CGPA) is used as a measure of overall cumulative performance of a student over all semesters. However, the CGPA is invariably calculated from second semester onwards to facilitate students to know their academic progress.

Every Programme has a prescribed Curriculum or the Scheme of Teaching and Evaluation. It prescribes all the courses/ laboratory/ other requirements for the degree and sets out the nominal sequence semester wise. Curriculum also includes SWAYAM and Massive Open Online Courses (MOOCs), offered by premier institutions. A student desirous of additional exposure to a course, without the rigors of obtaining a good grade, ‘audits’ a course that helps him to have an edge over others in placements.

The evaluation system to assess the student is comprehensive and continuous during the entire period of Semester, by the faculty who is teaching the course. Continuous Internal Evaluation (CIE) and Semester End Examination (SEE) constitute the major evaluations prescribed for each course, with only those students maintaining a minimum standard in CIE are permitted to appear in SEE of the course. CIE and SEE to carry 50% weightage each, to enable the course to be evaluated for a total of 100 marks, irrespective of its credits.

Before the start of the Academic session of each semester, a faculty may choose for his course Internal Assessment Test and a minimum of two of the following assessment methods with suitable weightage for each: Assignments (Individual and/or Group), Seminars, Quizzes, Group Discussions, Case studies/Case lets, Practical orientation on Design Thinking, Creativity & Innovation, Participatory & Industry-integrated learning, Practical activities / problem solving exercises, Class presentations, Analysis of Industry/Technical/Business Reports, Reports on Guest Lectures / Webinars / Industrial Visits, Industrial / Social / Rural projects, Participation in Seminars/ Academic Events/Symposia, etc. or any other academic activity.

The Semester End Examination for all the courses for which students registered during the semester shall be conducted at the end of each semester. Some of the courses, where the student performance is evaluated through CIE, may not have SEE.

The makeup examination facility shall be available to those students who have appeared and failed in the SEE in one or more courses in a semester.