AI-related engineering seats in Maharashtra almost double in 2 years

Complimenting the increase in intake, these courses also saw a high percentage of seats being filled, ranging between 83 per cent and 94 per cent.

AIIntake for seven AI courses increased from 14,050 in AY 2023-24 to 27,124 in AY 2025-26. (File Photo)
Written by: Soham Shah
3 min readPuneMay 20, 2026 11:33 PM IST First published on: May 20, 2026 at 08:49 PM IST

Engineering seats in artificial intelligence (AI) related courses increased by over 93 per cent in AY 2025-26 as compared to AY 2023-24 in Maharashtra, according to Common Entrance Test (CET) Cell data. This shows the rising popularity and relevance of AI education in the technical field. Intake for seven AI courses increased from 14,050 in AY 2023-24 to 27,124 in AY 2025-26.

These courses are Artificial Intelligence and Data Science, Computer Science and Engineering (Artificial Intelligence and Machine Learning), Artificial Intelligence and Machine Learning, Artificial Intelligence, Computer Science and Engineering (Artificial Intelligence), Computer Science and Engineering (Artificial Intelligence and Data Science), and Robotics and Artificial Intelligence.

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Complimenting the increase in intake, these courses also saw a high percentage of seats being filled, ranging between 83 per cent and 94 per cent.

On the other hand, intake numbers for traditional courses like Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, and Electrical Engineering have plateaued in the last two years with a negligible or slight increase. In fact, Chemical Engineering seats have decreased in the last two years. These courses also had a comparatively lower filling rate ranging between 71 per cent and 87 per cent.

Professor Sanjay Gandhe, Principal at Pune Institute of Computer Technology, said that better placements and higher student demand is driving the rise in intake numbers in AI courses. He said, “The number one reason (for increase in AI course intake) is placements. AI courses have better placements compared to others. The second reason is that student demand is increasing as AI courses provide white collar jobs where they can work from home. People are ready to work for more hours from home due to flexible timings. However, traditional courses are important for the manufacturing industry of the country and are there to stay in the long run.”

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Intake numbers for regular computer related courses like Computer Engineering, Computer Science and Engineering, and Information Technology have increased by 23.15 per cent, 43.32 per cent, and 39.22 per cent.

A few other smaller courses like Automation and Robotics and Computer Science and Engineering (Cyber Security) have also seen a boost in numbers this time period.

The CET for 2026-27 admissions is currently online. Intake numbers for this year will be available once approvals from All India Council for Technical Education (AICTE) are received and CAP rounds start.

AI Engineering Courses

Course Name

Intake 2023-24

Intake 2024-25

Intake 2025-26 

Increase in intake

Seats filled in 2025-26

Artificial Intelligence and Data Science

7566

10379

13982

84.80 %

87.95

Computer Science and Engineering (Artificial Intelligence and Machine Learning)

3,367

4,867

5,786

71.84 %

94.37 %

Artificial Intelligence and Machine Learning

1,421

3,171

4,457

213.65 %

83.19 %

Artificial Intelligence

755

891

1,226

62.38 %

76.51 %

Computer Science and Engineering (Artificial Intelligence)

666

834

929

39.49 %

93.43 %

Computer Science and Engineering (Artificial Intelligence and Data Science)

141

175

406

187.94 %

91.87 %

Robotics and Artificial Intelligence

134

292

338

152.24 %

86.69 %

Total

14,050

20,609

27,124

93.05 %

Traditional Engineering Courses

Course Name

Intake 2023-24

Intake 2024-25

Intake 2025-26 

Increase in intake

Seats filled in 2025-26

Electronics and Telecommunication

18,906

19,919

21,759

15.09 %

82.16 %

Mechanical Engineering

23,193

23,070

23,859

2.87 %

71.73 %

Civil Engineering

17,315

16,570

17,478

0.94 %

71.03 %

Electrical Engineering

11,760

12,592

13,657

16.13 %

72.56 %

Chemical Engineering

1,922

1,801

1,819

-5.35 %

87.19 %

Soham Shah is a Correspondent Read More

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