B.Sc in Data Science: Be At Par With Cutting Edge Technology

Conveying information on the principles of data analysis, data mining, data manipulation and machine learning.

B.Sc. in Data Science

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. 

  • To introduce students to data science, big data, machine learning, and data mining concepts.
  • To provide students with data analysis and quantitative analytic skills in order to solve business problems.
  • To familiarise students with statistical data analysis techniques that are commonly utilised in business decision-making.
  • To introduce students to the roles and responsibilities of Data Scientist in a business.
  • To teach students about data transformation techniques and tools, as well as data mining, data formats, machine learning algorithms, data visualisation, and optimization.
  • Students will be prepared to be industry professionals with a thorough understanding of the subject and current trends.

Fee per Semester Rs. 40,000. Total Semester Fee = 6 x 40,000 = Rs.2,40,000

One Time Payment

Fees DetailsAmount
Admission Fees42,000
Interest free Security Deposit (Refundable)10,000
Total52,000
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
At Inspiria, we believe in rewarding the hard work and excellence achieved by meritorious students in their academic endeavors.
As part of Wings Scholarship Program, we are giving out scholarship for (B.Sc in Data Science)
Score in Class 12Scholarship
Between 70% to 79%30%
Between 80% to 89%40%
90% and above50%

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

  • Programming Fundamentals
  • Discrete Structure
  • Soft skills
  • MOOCS Basket 1
  • MOOCS Basket 2
  • MOOCS Basket 3
  • MOOCS Basket 4

Theory + Practical

  • Data Structures with python
  • Operating System
  • Environmental Science
  • MOOCS Basket 1
  • MOOCS Basket 2
  • MOOCS Basket 3
  • MOOCS Basket 4

Sessional

  • Project and Entrepreneurship

Theory + Practical

  • Database Management System
  • Machine Learning
  • Artificial Intelligence
  • MOOCS Basket 1
  • MOOCS Basket 2
  • MOOCS Basket 3
  • MOOCS Basket 4
  • Object Oriented Programming

Theory + Practical

  • Computer Networks
  • Software Engineering
  • Data Visualisation
  • MOOCS Basket 1
  • MOOCS Basket 2
  • MOOCS Basket 3
  • MOOCS Basket 4
  • Minor Project and Entrepreneurship II

Theory + Practical

  • Deep Learning
  • Image Processing

Elective-I

     A. Pattern Recognition
     B. Security and Authentication
     C. Health Informatics
Elective-II
     A. Soft Computing
     B. Network Security
     C. Internet of Things

  • Industrial Training and Internship

Theory

  • Cloud Computing
  • Robotics

Elective-III

     A. Intrusion Detection & Prevention Systems
     B. Bioinformatics
     C. Big Data Analytics

Sessional

  • Grand Viva
  • Major Project & Entrepreneurship II
  • Seminar
       

The Syllabus/Course Module are as per West Bengal University of Technology Curriculum

Career Opportunity

Job fields and employment areas for Data Science students.

Data
Scientist

Data
Architect

Business
Analyst

Data Solutions
Analyst

Statistical
Analyst

Business
Process Analyst

Data Mining
Expert

Database
Administrator

Data
Analyst

Business
Intelligence Expert

Machine
Learning Expert

CRM
Analyst

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