**Please note that eligibility criteria and fee structures are subject to change. Stay tuned for the latest updates or reach out to us at 7044447723
Computer Science and Engineering have redefined the dimension of technoscape and are continuously evolving, creating and building the ever-emerging domain where the opportunities are endless. The Brainware University PG programme in Mtech artificial intelligence and machine learning aims to create successful professionals such as Business Intelligence developers, Big Data engineers, and Robotic scientists to mention a few. Explore the astonishing world of computers: Pursue Masters Degree in CSE, a journey of 2 years of enriching learning experience with one of the best private universities of West Bengal. Aiming to provide in-depth knowledge of Computer Science, the programme is designed to enlighten the students about trending topics like Artificial Intelligence, Data Analytics, Image Processing etc. Experience global learning, state-of-the-art infrastructure, pre-placement training and 360-degree placement support at an affordable fee.
Artificial intelligence (AI) is the concept of making machines "think like humans" - in other words, perform tasks such as reasoning, planning, learning, and understanding language. While no one expects parity with human intelligence today or in the near future, AI has great application in our everyday lives. The brain behind artificial intelligence is a technology called machine learning, which is designed to make our work easier and more productive.
To pursue thisprogramme, the candidate must score 50% marks or equivalent grade in B.E./BTech/AMIE/AMIETE in CSE/IT/MCA/MSc in CS/IT
You can work as BI Analyst, Data Mining Analyst, Analytics Manager, Business Analyst, and Risk Analyst, Machine Learning Engineer after completing the course.
In the present day, Artificial Intelligence has a high demand. AI can change the present scenario of the global economy.
|MTech in AI and ML
|50% marks or equivalent grade in B.E. / BTech / AMIE / AMIETE in CSE / IT / MCA / MSc in CS / IT
"After completing my BTech, I wanted to specialise in my domain and Brainware University provided a great opportunity to pursue MTech from this very university. I am thankful to my university for the wonderful endeavour."Twinkle Paul CSE
"I could not miss a chance to pursue master's from Brainware University as achieving the BTech degree from here was indeed extremely fruitful."Suman ChakrabortyCSE
"If you are willing to work hard and trust the guidance you receive at Brainware, you cannot fail. The pre-placement training sessions right from the induction days, set us on the winning path."Siddhanth Das CSE
"I made the right decision in choosing the university. Apart from the technical knowledge, they focused on the non-technical skills from the beginning of our programme which helped me to get the placement. Thank you Brainware University."Debankojit RoyCSE
"Brainware students are professionally and technically well-informed as freshers. We are impressed with the level of confidence and positive attitude they demonstrated during their interviews."Mr. Vaskar Bhattacharya Regional Head-East, Ginnisystems Ltd.
"We always find competent and positive students who are almost ready to be professionals. We never get disappointed wherever we come for the recruitment. Well done Brainware University!"Ms. Srimoyee Mukherjee Manager HR Nature Technologies Pvt. Ltd.
MTech in AI and ML refers to a Master of Technology program focused on Artificial Intelligence (AI) and Machine Learning (ML). It is a postgraduate degree that provides in-depth knowledge and skills in the field of AI and ML.
The prerequisites for pursuing MTech in AI and ML may vary depending on the institution. However, most programs require a bachelor's degree in a related field such as computer science, information technology, or engineering. Some programs may also require a minimum GPA or specific coursework in mathematics, programming, and statistics.
The subjects covered in an MTech in AI and ML program may include machine learning, deep learning, natural language processing, computer vision, data mining, statistical modelling, algorithm design, robotics, pattern recognition, and data analytics. Additionally, there may be elective courses and specialization options based on the program or institution.
Graduates of MTech in AI and ML programs have a wide range of career prospects. They can work as AI/ML engineers, data scientists, research scientists, machine learning developers, AI consultants, data analysts, algorithm engineers, and AI project managers. Industries such as technology, healthcare, finance, manufacturing, and retail often seek professionals with AI and ML expertise.
Yes, MTech in AI and ML programs often provide research opportunities to students. They may involve research projects, thesis work, or collaborations with industry partners. Engaging in research can help students deepen their understanding of AI and ML concepts, contribute to the field's advancements, and improve their prospects for further academic pursuits or research-oriented careers.
An MTech in AI and ML program helps students develop various skills, including programming in languages such as Python or R, machine learning algorithms, data preprocessing, data visualization, deep learning techniques, statistical analysis, problem-solving, critical thinking, and project management. Students also gain experience working with real-world datasets and applying AI and ML models to solve practical problems.
Yes, there are several institutions that offer MTech in AI and ML programs through distance learning or online formats. These programs provide flexibility for working professionals or individuals who prefer remote learning. However, it is essential to ensure that the program is accredited and offers adequate resources for hands-on learning, as practical experience is crucial in AI and ML education.
Within AI and ML, students can explore various research areas during their MTech program. Some popular research areas include deep learning, reinforcement learning, computer vision, natural language processing, generative models, robotics, explainable AI, federated learning, ethics in AI, and AI for healthcare. The choice of research area often depends on individual interests and the expertise of the faculty within the program.
Yes, completing MTech in AI and ML can be an excellent foundation for pursuing a PhD in the field. Many universities offer PhD programs in AI and ML, and having an MTech degree can strengthen your application. A PhD can lead to advanced research opportunities, academic positions, and a deeper understanding of AI and ML principles.
The duration of an MTech in AI and ML program typically ranges from 2 to 3 years, depending on the institution and the program structure. Some programs may offer part-time options, which can extend the duration. It's essential to check the specific program requirements and consult the institution for accurate information regarding the duration of the program.