BITS Pilani CAT Cutoff 2024: Know Expected and Previous Year’s Cut Off

BITS Pilani CAT cutoff for the MBA programme for the academic session 2025-2027 will be released online. The BITS Pilani CAT cutoff is the primary criterion for shortlisting candidates for the BAAT (Business Analytics Aptitude Test) and the Personal Interview round. The BITS Pilani CAT cutoff for 2024 is expected to be above the 75-percentile mark. Candidates scoring a CAT percentile above 75 can apply for the MBA program at BITS Pilani. Apart from the CAT exam scorecard, BITS Pilani also accepts scores of XAT and GMAT exams for the MBA admission process.

Expected BITS Pilani CAT Cutoff 2024

The BITS Pilani CAT cutoff will depend on certain factors like the CAT 2024 difficulty level, the total number of qualifying candidates, normalization of scores, seats available, and reservation criteria. The expected BITS Pilani CAT cutoff 2024, considering the above-mentioned factors is given in the table below.

Course

BITS Pilani CAT cutoff 2024

MBA Business Analytics

75+

BITS Pilani CAT Cutoff Trends

The BITS Pilani CAT cutoff trends have remained the same for the past few years indicating the same for this year too. Candidates can check out the BITS Pilani CAT cutoff for the previous three years in the table given below.

Course

BITS Pilani CAT cutoff 2023

BITS Pilani CAT cutoff 2023

BITS Pilani CAT cutoff 2023

MBA Business Analytics

80

80

80

Selection Criteria after BITS Pilani CAT Cutoff

The selection criteria at BITS Pilani comprises shortlisting candidates based on the BITS Pilani CAT cutoff for the upcoming selection rounds. The selection rounds are listed below.

  1. Business Analytics Aptitude Test (BAAT)
  2. Personal Interview round
  3. CAT/ XAT/ GMAT (if available)
  4. Prior work experience
  5. Previous academic history

Every round has its own specific weightage in the selection process for BITS Pilani. The final selection of the candidate will depend on the performance of the candidate against each selection round and essential parameters.