Data science is a multidisciplinary field, a concept that combines statistics, data analysis, and related methods to understand and analyse real-world phenomena through the use of data. It is multidisciplinary in the sense that it extracts knowledge from structured and unstructured data using algorithms, scientific methods, processes, and systems, as well as dealing with data mining, big data, and machine learning.
Data Science is one of the highly emerging career niches. Gaining skills in this interdisciplinary field gives an edge to anyone in the world of cutting-edge technology. The Data Science program at Inspiria is designed to provide a broad spectrum of skills and knowledge to help students accelerate their careers in the rising field of tech. Our expert-designed program is industry-relevant and outcome-driven. It aims to equip the learners with concepts of data science, big data, machine learning, data mining, and other multidisciplinary skills. This program introduces students to the world of big data while providing them with all of the necessary skills and tool knowledge to be successful in the Data Science industry. Our hands-on learning curriculum, expert guidance, and state-of-the-art resources are outfitted to provide students with in-depth experimental learning to build all-around professional skills. At Inspiria, we intend to equip our learners with top-notch industry skills so that they can contribute to the fundamental tasks and be at par with the cutting-edge practice of Data Science.
One Time Payment
Fees Details | Amount |
---|---|
Admission Fees | 42,000 |
Interest free Security Deposit (Refundable) | 10,000 |
Total | 52,000 |
Fees payable at the time of Admission (Which includes first semester fees) | 92,000 |
Total Course Fees for 3 Yrs (Semester fees + 1 time payment) | 2,92,000 |
Score in Class 12 | Scholarship |
---|---|
Between 70% to 79% | 30% |
Between 80% to 89% | 40% |
90% and above | 50% |
Candidates applying for admission in B.Sc. in Data Science should be a Higher Secondary (10+2) pass from any recognized board with English as a subject.
Course Module
Theory + Practical
Theory + Practical
Sessional
Theory + Practical
Theory + Practical
Theory + Practical
Elective-I
A. Pattern Recognition
B. Security and Authentication
C. Health Informatics
Elective-II
A. Soft Computing
B. Network Security
C. Internet of Things
Theory
Elective-III
A. Intrusion Detection & Prevention Systems
B. Bioinformatics
C. Big Data Analytics
Sessional
The Syllabus/Course Module are as per West Bengal University of Technology Curriculum
Career Opportunity
Job fields and employment areas for Data Science students.
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