
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
- Private Institute
- Estd. 2002
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at B.B.S.College of Engginering and Technology Overview
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Seat breakup | 120 |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at B.B.S.College of Engginering and Technology Frequently Asked Questions
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at B.B.S.College of Engginering and Technology Cutoffs
UPTAC round-wise cutoff Rank: (undefined-All India)
| Round | 2025 |
|---|---|
| 1 | - |
| 2 | - |
| 3 | - |
| 4 | - |
| 5 | - |
| 6 | 2019043 |
| 7 | 2120389 |
UPTAC round-wise cutoff Rank: (General-Home State)
| Round | 2025 |
|---|---|
| 1 | 1473504 |
| 2 | 825191 |
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Offered by Institute of Engineering and Rural Technology, AllahabadB.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at B.B.S.College of Engginering and Technology Students also asked
The BTech CSE syllabus is incomplete without regular lab classes and internship programs because of the importance of programming, software development, and AI and ML knowledge required in the CSE field, which cannot be taught only through theory classes.
Premier institutes often collaborate with leading industrial partners to provide their students with the best internship exposure and training opportunities, which may act as an entry point to excellent earning opportunities later.
Know more about -
BTech graduates can opt for diverse specialisation options that are available in BTech programmes such as Computer Science Engineering, Electronics Engineering, Mechanical Engineering, etc. Graduates can also pursue further education in any specialisations for better salary packages and career growth. B.Tech job profiles are given in the table below:
| Job Profile | Average Annual Salary |
|---|---|
Computer Science Engineer | INR 7- 9 LPA |
Mechanical Engineer | INR 6- 8 LPA |
Civil Engineer | INR 8- 10 LPA |
Mining Engineer | INR 8- 11 LPA |
Electrical Engineer | INR 7- 9 LPA |
Chemical Engineer | INR 8- 11 LPA |
Colleges offer electives in specific areas of AI
- Big Data
- Cloud Computing
- Computer Graphics
- Human-Computer Interaction
- Big Data Analytics
- Cybersecurity
- Data Analytics
- AI, Neuroscience, and Natural Intelligence
Know more about -
Engineering job profiles vary across the industry as well as the domain where the person is recruited. Since the popular industries include petrochemicals, civil engineering, construction and other allied industries, the following job profiles are very popular and offer promising career opportunities
| Job Profile | Average Annual Income (INR) |
|---|---|
| Software Engineer | 4-8 LPA |
| Civil Engineer | 3-6 LPA |
| Petroleum Engineer | 5-8 LPA |
| Mining Engineer | 4-7 LPA |
| Mechanical Engineer | 3-6 LPA |
| Aeronautical Engineer | 4-7 LPA |
| Metallurgical Engineer | 4-6 LPA |
| Electrical Engineer | 3-6 LPA |
| Electronics Engineer | 3-6 LPA |
| Chemical Engineer | 4-6 LPA |
Note- The salary is taken from external sites and may vary.
More about -
The BTech in AI syllabus is a mix of core and elective subjects. The core subjects are compulsory for you to study in every semester as they are meant to give you a strong base in the field of AI. Coming to the elective choices, there are a lot of interesting options and you can choose the elective subjects as per your interests, something you resonate more with and easy to understand for you.
So, the elective subjects do give you that liberty of customizing your BTech in Artificial Intelligence syllabus in some way or the other.
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