Video summary

MBA in Business Analytics | Top 15 Colleges for Business Analytics in India | Salary & Roles

Main summary

Key takeaways

Educational

Main ideas / concepts conveyed

  • Business Analytics (MBA/PG programs) is in high market demand in India

    • The video claims there are strong growth opportunities and high earning potential in MBA/Business Analytics.
    • It suggests demand is increasing as more non-engineers (from arts/commerce) enter the field.
    • Colleges are launching new analytics-focused programs.

  • Why the shift is happening

    • Earlier, analytics specialization was done more by engineers.
    • Now, non-engineers are also moving into the field.
    • Colleges are launching dedicated programs (e.g., MBA Business Analytics / related tracks).
    • The speaker predicts more IIMs/non-IIMs/private institutes will enter this sector.

  • What MBA in Business Analytics (MBA BA) is about

    • Core expectation: people who are comfortable with numbers and can work with data.
    • Emphasis for non-engineers:
      • Comfort with some coding (not necessarily heavy coding, but enough for analytics workflows).
      • Practical tooling skills.

  • Skills required for MBA/Business Analytics

    • Analytical & statistical skills
      • Work with data, interpret statistics (e.g., mean/median/mode), and understand graphs.
    • Data visualization
      • Understand and interpret data to extract insights.
      • Use insights to support business decisions (the speaker uses a political example about identifying voter patterns).
    • Tool proficiency
      • Examples mentioned: Python, SQL, Excel, Power BI, Tableau, R, CSS (as stated), SPSS, and related practical tools.
    • Critical thinking + machine learning concepts
      • Learn foundational ML concepts as part of the analytics toolkit.
    • Preparation approach
      • If targeting next year’s admissions, the speaker advises preparing for CAT (or other MBA exams) and building practical tool skills.

Who should pursue MBA in Business Analytics

People who:

  • Are very good with data
  • Enjoy working with data
  • Have interest in/strength in Maths and Economics
  • Can handle research methodology-style coursework
  • Don’t necessarily need strong communication skills; they primarily need the ability to work well with computers and data.

Methodology / instructional content (detailed bullet points)

Research Methodology approach described (how BA research tasks work)

  • Pick a market segment and define the target group (example: Delhi, specifically near Kashmiri Gate).
  • Determine questions to understand:
    • How many customers exist who can buy the product
    • Income range / economic characteristics
    • Demographics, including location-specific attributes
  • Create a long questionnaire with multiple data points.
  • Analyze macro + state-level/economic conditions:
    • Consider the country’s and the region’s economic environment.
    • Use that analysis to craft/adjust the research approach.
  • Expected outcome:
    • You can’t just “fill answers directly”; it requires thinking and structured analysis.
  • Communication expectations:
    • The speaker claims BA does not require heavy communication, just basic English to discuss results.

Roles / job functions mentioned (and what they do)

Core analytics roles

  • Data Analyst / Business Analyst

    • Analyze data to generate business outcomes.
    • Use graphs and explain insights via presentations.
    • Store, manage, and analyze data in depth (some coding can be required).

  • Data Science (described as an evolved form of analytics)

    • More Python-focused and tools-driven.
    • The speaker claims engineers are usually preferred, and non-engineers rarely get data science roles unless highly proficient.

Product- and market-oriented analytical roles

  • Product Analyst
    • Analyze a specific product’s performance (example given: Maggi).
    • Determine where/how to sell (regions/countries/segments).
    • Provide insights/data to the sales team and support product decisions.
    • The speaker notes product analysis may align with product management-type work, but clarifies it’s not the same as sales.

AI-focused analytics role

  • AI Data Analyst / AI-related analytics
    • Since AI platforms (ChatGPT-like tools named) are widely used, companies need people to manage/derive value from AI-related systems.
    • Requires working with data, tools, some coding, and machine learning methods.

Business/market/risk roles

  • Market Analyst

    • Identify market fit and target market using demographics (e.g., age, income, gender).

  • Risk Manager

    • Mentioned as a role available in some MBA programs, including banking-related contexts.

Big Data / consulting

  • Big Data Management / Big Data Consultant
    • Analyze very large datasets under deadlines.
    • The speaker uses an example of delivering analysis within short timeframes.

College list & placement focus (Top 15 named, as presented)

The speaker lists colleges ranked from #15 to #1, along with approximate average/median packages and/or specialization details.

Note: The subtitle contains many transcription/wording errors (college names and figures sometimes appear inconsistent). The following reflects what the speaker said as captured.

  • #15 Welinkar Mumbai

    • PGDM (Research & Genetics program mentioned)
    • Avg around 12.45 LPA (≈ 12.5 LPA)

  • #14 SCIT Pune (Symbiosis Centre for Information Technology)

    • Programs mentioned: MBA in Data Science and related tracks
    • Avg around ~11 LPA

  • #13 BITS Pilani

    • Separate MBA/BA programs
    • Avg ~14–15 LPA (speaker mentions ~14.65 LPA)

  • #12 IIM Amritsar

    • MBA in Business Analytics + a joint program: MSDSM
    • MBA BA avg ~17–18 LPA, median shown around 18

  • #11 IM Salapur (as pronounced; likely IIM Sambalpur)

    • MBA in Business Analytics
    • Avg ~13–14 LPA

  • #10 NMIMS Mumbai

    • MBA Business Analytics
    • Avg around ~17 LPA

  • #9 TISS Mumbai (as transcribed; “TS Mumbai”)

    • MA/MS in Analytics mentioned (CUET PG admission from 2025; score guidance ~260+)
    • Avg mentioned ~15 LPA
    • Also references median in the earlier section (~14–15 vs confusion around “44 LP”)
    • Mentions multiple large recruiters

  • #8 Goa / IIM Goa (text unclear; “Gym Goa” appears to be an error)

    • PGDM in Big Data Analytics
    • Avg ~15 LPA; median mentioned approximately ~44 LPA (likely inconsistency from transcription)
    • Mentions prime location + major recruiters

  • #7 Symbiosis / “SC HRD Pune”

    • Mentions average around ~20 LPA
    • Roles listed: consulting/data analyst/strategy/project management

  • #6 MDI Gurgaon

    • PGDM in Business Analytics
    • Average around ~22 LPA; median claimed around ~21.65 LPA

  • #5 IIM Ranchi

    • Business Analytics program
    • Avg ~19.13 LPA
    • Highest mentioned ~34 LPA
    • Mentions growth from earlier (earlier ~16 to now ~19) and PPO rate ~66%

  • #4 IIM Kashipur

    • Mentions audited placement reports (comparison noted with IIM Ahmedabad)
    • Minimum around ~9.32 LPA, median around ~13.74 LPA

  • #3 “IMC” (joint program)

    • PGTBA (Post Graduate Diploma in Business Analytics) described as jointly run by:
      • IMK, IIT Kharagpur, and ISI Kolkata (names as stated; subtitle likely has errors)
    • Median/average salary cited around ~31 LPA
    • Mentions separate entrance exam (not CAT)

  • #2 IIM Bangalore

    • PGPBA (Post Graduate Program in Business Analytics)
    • Average placement claimed ~34 LPA
    • Notes smaller batch size and placements

  • #1 ISI Kolkata + Delhi campuses

    • Program: MS in Quantitative Economics (MS QE) described as equivalent to MBA in intent
    • Emphasizes competitiveness; both engineers/non-engineers attend
    • Average cited around ~25–30 LPA
    • Claims ISI is “#1” for package and strong role offerings

Concluding messages / takeaways

  • The video frames business analytics as a high-paying, future-focused specialization.
  • It advises students to:
    • Build analytics + tool skills alongside MBA exam prep.
    • Choose colleges based on placement outcomes, role fit, and program structure.
  • It encourages liking/subscribing and mentions CAT/other MBA exams timing (CAT 2025 referenced).

Speakers / sources featured

  • Speaker/Host: Not explicitly named; subtitles repeatedly reference the channel “MBA Shala” / the MBA Shala channel host.
  • No other distinct speaker names, interviews, or external sources are clearly identified beyond the program/college and company examples mentioned.

Original video