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The demand graph for btech data science course in kolkata shows an upward curve over the last few years and has become an indispensable part of a business operation. Brainware University is listed among one of the top data science colleges in kolkata, offering career-building programmes in data analytics course with placement assistance.
You need to have a set of technical skills to become a successful data scientist. Other than technical skills you must have an undergraduate (bachelor) or a postgraduate (master) degree in Data Science. You must have knowledge regarding R programming, Python coding, and you must know to work on the Hadoop platform and Apache Spark. Besides this, if you have knowledge about machine learning and artificial intelligence, you have a bonus that will help to gain an edge above your competitors in the job market.
Today's world mostly works with data. So we need to care more about how the data be helpful for us to predict the future. So, data science is important in our today's life.
An entry-level data scientist in India can earn about Rs. 5,00,000 per annum.
Data Science Programmes | Data Science Course Duration | Data Science Course Fees (INR) | Data Science Course Eligibility Criteria |
---|---|---|---|
BTech in CSE - Data Science | 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 - Data Science Lateral | 3 years | 2,21,200 | 45% marks or equivalent grade in relevant Diploma or BSc |
Please follow the given Admission Procedure:
"During the pandemic, we received maximum support from our academic fraternity. The professors conducted regular online classes and uploaded learning materials and videos, scheduled doubt clearing sessions as well as regular assessments."
Twinkle Paul BTech CSE"I want to really appreciate and thank Brainware University for providing an uninterrupted learning experience. The way of teaching and interacting with students to make learning easier and interesting is indeed a commendable job."
Suman ChakrabortyBTech CSE"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 BTech 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 RoyBTech CSE"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.B.Tech in CSE with a specialization in Data Science is an undergraduate engineering program that focuses on computer science principles and techniques relevant to data science. It combines core computer science subjects with specialized courses in data analytics, machine learning, statistics, and data mining.
Eligibility criteria can vary depending on the university or institution offering the program. In general, candidates must have completed their 10+2 education with a strong background in mathematics and science. They must also have qualified in relevant engineering entrance exams (e.g., JEE Main) or university-specific entrance tests.
The Data Science specialization typically covers subjects like data structures, algorithms, programming languages (Python, R, etc.), database management, statistics, machine learning, data visualization, big data technologies, and artificial intelligence.
Graduates with this specialization have excellent career prospects. They can work as data scientists, data analysts, machine learning engineers, AI specialists, data engineers, business analysts, and data consultants in various industries such as IT, finance, healthcare, e-commerce, and more.
Yes, most B.Tech programs include project work and internships as part of their curriculum. Students are often required to work on real-world data science projects and may have the opportunity to intern with reputed companies to gain practical experience.
Yes, after completing your B.Tech, you can opt for higher studies like a Master's in Data Science, a Master's in Artificial Intelligence, or related fields. Some students also pursue PhD programs to delve deeper into research and academia.
Coding is a fundamental skill in data science. Python and R are widely used programming languages in the data science domain. They are essential for data manipulation, building machine learning models, data visualization, and working with various data analysis libraries.
A successful career in Data Science requires a mix of technical and soft skills. Technical skills include programming, data analysis, machine learning, and statistics. Soft skills such as critical thinking, problem-solving, communication, and domain knowledge are also vital for effective data-driven decision-making.
AYes, Data Science is a rapidly evolving field with continuous research happening in various areas. Students can actively participate in research projects during their B.Tech program and can pursue further research opportunities during higher studies or in the industry.
Remember, specific details may vary from one institution to another, so it's always a good idea to check the curriculum and course offerings of the specific university or college you're interested in.