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70444 47723Academics
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Admissions
70444 47723Academics
+91 33 7144 5590
Artificial Intelligence and Machine Learning
IIRF Ranking 1
Technical Private University in West Bengal
Best in placement
Awarded by ABP, TOI, 24 GHanta, News18 Bangla
Scholarships Rs 25Cr awarded
36 Lakhs LPA Offered
ATTENTION! Seats are booked for most of the programmes. Only the last few are left for selected courses. For details and enquiry, kindly reach us out at 70444 47723.Admission is closing soon!
BTech in Artificial Intelligence and Machine Learning or Btech AI and ML is a 4 years programme at Brainware University. The applicants will find all admission relevant information for BTech AI and ML on this page including programme overview, syllabus outline, career options, as well as learning benefits. Details concerning Btech AI ML programme, BTech AI and ML eligibility and Btech AI ML admission criteria are provided as well.
Artificial Intelligence (AI), the domain in demand, is the thought of having machines “think like humans” — in other words, executing tasks like reasoning, planning, learning, and understanding language. While no one is expecting equivalence with human intelligence today or in the near future, AI has a big application in our day to day lives. The brain behind AI is a technology called machine learning (ML), which is created to make our jobs easier and more productive.
Yes, now a days when the world is moving towards full automation, the need of AI & Ml is mandatory. That flourishes the future of btech in artificial intelligence and machine learning students.
Basic knowledge of Algebra, Calculus, Statistics.
| BTech AI & ML Programmes | BTech AI & ML Duration | BTech AI & ML Fees (INR) | BTech AI and ML Eligibility |
|---|---|---|---|
| BTech in CSE - Artificial Intelligence & Machine Learning | 4 years | 4,64,600 | 60% marks or equivalent grade in '10+2' examination with minimum 45% marks or equivalent grade in any three subjects taken together with Physics & Mathematics (mandatotry) and either (Chemistry/CS/Electronics/IT/Biology/Informatics Practice/Biotechnology/Technical Vocational Subjects/Agriculture/Engg. Graphics/Business Studies/Entrepreneurship) with individual pass marks in both theory and practical & pass marks in English |
| BTech in CSE - Artificial Intelligence & Machine Learning Lateral | 3 years | 2,21,200 | 45% marks or equivalent grade in relevant Diploma or BSc |
Please follow the given Admission Procedure:
“We have modern labs with the latest technology to perform complex and advanced research works.”
Amit Kumar BhartiB. Tech CSE“The teaching quality is excellent and I am enjoying it thoroughly. Our university focuses on making us competent with accurate learning. Thank you Brainware University.”
Adi PramankB. Tech CSE
“The recruiters were pleased with my performance. Thanks to Brainware University’s global learning curriculum that makes us skilled for the trending industry requirements.”
Arka Maity B. Tech CSE“My journey from college campus to the corporate world has been amazing. The extremely productive Bootcamps play a vital role in not only getting the job but also to sustain it.”
Arpita DeyB. Tech CSE
“Candidates are not always comfortable or well prepared for Skype / Facetime interviews. It was a pleasant experience to watch students of Brainware University execute it with perfection, even though it was their first time. They looked very calm and confident.”
Mr. Vaskar Bhattacharya Regional Head-East, Ginnisystems Ltd.“The best thing about the Brainware University is, we get to see the budding professionals with accurate training. We have been very much consistent in recruiting the students from here as we never get disappointed.”
Ms. Srimoyee Mukherjee Manager HR Nature Technologies Pvt. Ltd.
BTech CSE - AI & ML is a specialized undergraduate degree program that focuses on the study of computer science, with a specific emphasis on artificial intelligence and machine learning. It combines core computer science subjects with specialized courses in AI, ML, data science, and related fields.
Admission requirements for BTech CSE - AI & ML are similar to general BTech CSE programs. Typically, you will need to have completed high school education with a strong background in mathematics and science. Admission may be based on entrance exams like JEE Main, BITSAT, or state-level engineering entrance exams, depending on the university.
A BTech CSE - AI & ML program covers a range of subjects including programming languages, data structures, algorithms, computer networks, operating systems, database management systems, statistics, machine learning, deep learning, natural language processing, computer vision, robotics, and AI ethics.
The career prospects after completing BTech CSE - AI & ML are vast and diverse. Graduates can work as AI/ML engineers, data scientists, research scientists, software developers in AI-driven applications, AI consultants, algorithm developers, and AI project managers. They can find opportunities in industries like healthcare, finance, e-commerce, robotics, and more.
Yes, a BTech CSE - AI & ML degree equips you with a solid foundation in general computer science subjects, including software development. You can still pursue a career as a software engineer or developer, with the added advantage of having expertise in AI and ML, which can be valuable in developing intelligent software systems.
Yes, after completing BTech CSE - AI & ML, you can pursue higher studies such as MTech or MS programs in AI, ML, data science, or related fields. Higher studies can provide more specialized knowledge and research opportunities in emerging AI and ML technologies.
A BTech CSE - AI & ML program helps you develop a range of technical and analytical skills. You will gain proficiency in programming languages, data manipulation, machine learning algorithms, deep learning models, data analysis, problem-solving, critical thinking, and project management. Communication and teamwork skills are also enhanced through group projects and presentations.
While the workload and intensity of a BTech CSE - AI & ML program can be demanding, some students may find opportunities for part-time work or internships in the industry during their study breaks or summer vacations. It's important to manage your time effectively to balance work and academic commitments.
