BBA –
Computational Business Analytics

According to IDC (idc.com), the global big data and analytics market was $189 billion in 2019, and was estimated to grow at 13% a year to reach US$274 billion. The Indian data analytics market in 2019-20 was estimated to be nearly US$36 billion , having grown at 19.5% during the year.

Overview

According to IDC (idc.com), the global big data and analytics market was $189 billion in 2019, and was estimated to grow at 13% a year to reach US$274 billion. The Indian data analytics market in 2019-20 was estimated to be nearly US$36 billion , having grown at 19.5% during the year. It is expected to grow annually at 16% until 2025, to reach US$75 billion. These services included descriptive, predictive and prescriptive analytics, and were delivered in the form of data reporting, business intelligence, visualization and analysis to serve as a guide to decision making. The share of analytics in the IT and ITES industries is expected to grow from 19% in 2019-20 to 30% in 2024-25. The banking, financial services and insurance (BFSI) sector is the largest contributor of analytics revenue, followed by Marketing and eCommerce. In terms of cities, Bengaluru has the largest concentration of analytics companies, with Hyderabad ranked fourth.

The US contributed nearly 57% percent of the revenues for India based analytics companies, followed by the UK 9.7% and Australia 7.1%.

In terms of employment, the workforce in the analytics companies is employed i) 40% by large organizations (10,000+ employees) such as TCS, Infosys, Wipro, HCL Technologies, Tech Mahindra, IBM Global Services and Accenture, among others, ii) 30% by startup and growth stage companies (1-200 employees) and iii) the remaining 30% by mid-sized companies such as Mu Sigma, Fractal Analytics, Latentview Analytics, etc. The industry added 25,500 fresh graduates as employees in 2019-20, and 41% of the employees in the industry has less than 5 years work experience.

Who should take this program?
  • Students with PCM majors having a strong foundation in mathematics and statistics in high school.
  • Students who enjoy programming and using tools such as Python, R, Visual Business Analytics
  • Useful to those students who aspire to join Masters and PhD degrees in Business Analytics or related fields
Program outcomes

Building on a foundation of mathematics and statistics in high school, the student, at the end of the program, will have developed

  • good analytical, statistical and problem-solving skills,
  • the ability to communicate effectively with multiple stakeholders, and in particular act as a bridge between the data scientists and decision makers,
  • knowledge and understanding of coding with a good grasp of programming language such as R, Python, Matlab, etc,
  • data visualization skills, and the ability to use tools such as Tableau,
  • the ability to make recommendations on what decisions to take based on the data analytics
Important Details
Eligibility Criteria
  • 10+2 or equivalent from any statutory board with 80% OR equivalent grade for the students from IB or other approved Board.
  • Students with valid SAT Scores or Pearson Undergraduate Entrance Exam Score will also be considered for admission (however these scores are not mandatory)
  • Followed by Panel Interview for Shortlisted candidates.
  • Mathematics as a subject in +2 level is manadatory.
  • Good communication skills (verbal and written) will be helpful.
Batch Size 30 Students
Tuition Fee INR 3 Lacs/Annum tuition fee; food, accommodation and international immersion will be extra

Note: Mahindra University School of Management accepts the scores of the above mentioned exams for its admissions & is not responsible for administration or any other issue related to these exams.

  • Program Highlights

    • Comprehensive business foundations (in finance, accounting, operations, marketing, OBHR, strategy)
    • Specialize in business analytics with skills and tools required to be able to work with data scientists as well senior decision makers
    • 3 week international immersion in Cornell University, Ithaca, NY
    • Jointly offered by Mahindra University School of Management and the Ecole Centrale School of Engineering
    • Focused on creating industry-ready graduates who can work in data rich industries such as retail (online and offline), fast moving consumer goods, banking, financial services and insurance (BFSI), consulting, travel and hospitality, etc.
  • Key Differentiators

    • One of the very few programs of its kind in India that provides a solid grounding in business disciplines as well as in data science
    • Only program with an IVY LEAGUE collaboration – Cornell faculty help in designing the program, will teach in the program and Cornell will host our students on their campus
    • Only BBA program that is jointly offered by Mahindra University’s sister schools: School of Management and the Ecole Centrale School of Engineering
    • Focused on creating industry-ready graduates who can work in data rich industries such as retail (online and offline), fast moving consumer goods, banking, financial services and insurance (BFSI), consulting, travel and hospitality, etc.
    • We also expect demand for the skills and competencies provided by this program to grow in the digital startup ecosystem and the burgeoning number of data analytics companies in India
  • Curriculum

    YEAR 1: SEMESTER 1 YEAR 1: SEMESTER 2
    Macro- Economics Micro-Economics
    Principles of Marketing-I (4Ps & Consumer Behavior) Operational Finance
    Financial Accounting Introduction to Statistics
    Principles of Management Fundamentals of Coding & Software Dev
    Critical Thinking & Logical Reasoning Database & Data Management
    Microsoft Excel - I (Fundamentals) Microsoft Excel - II (Data-Mining, analytics with Excel)
    Business Communications – I
    SUMMER : INTERNATIONAL IMMERSION IN CORNELL UNIVERSITY, ITHACA, NEW YORK  
    YEAR 2: SEMESTER 3 YEAR 2: SEMESTER 4
    Statistics - II (data-mining, predictive analytics) Business Intelligence & Data Visualization
    Research Techniques (Secondary methods) Introduction to Data Science
    Digital Marketing & Social Media Engagement Finance - II (Financial Tech, Markets)
    Management Information Systems Computational Statistics
    CSR and Sustainable Business Data Visualization & Reporting with Tableu/Power BI
    SUMMER: INDUSTRY INTERNSHIP  
    YEAR 3: SEMESTER 5 YEAR 3: SEMESTER 6
    Business Law Entreprenuership & New Venture Creation
    Business Analytics Fundamentals Global Business
    Machine Learning Deep Learning
    Data Collection, Games and Incentives Risk Simulation & Monte Carlo Methods
    Leadership & Teamwork Social Listening and Sentiment Analysis Tools
    STUDENT SKILL PORTFOLIO