This course, previously offered by S K Somaiya College, will now be offered by Somaiya School of Basic & Applied Sciences.

Bachelor of Science in Data Science

Bachelor of Science Data Science | B.Sc. DS

Programme Overview

In adherence with NEP, a student can opt to pursue this programme as 3 year regular degree or as 4 year Honours degree or as 4 year Honours with Research degree .

Bachelor of Science in Data Science is one of the unique and most popular bachelor’s degree programme that can be taken by students after their class XII. The program contains an Internship in last semester. This programme focuses on gaining in-depth knowledge of the methods and approaches of data science. This course will build the ability to think analytically and help to solve the problems in the right way, not just in the professional world, but in everyday life as well.

This programme can be considered a perfect start for all aspirants who want to make their career in Data Science, Data Analytics and Data Visualization. The curriculum is shaped so that the student is prepared for global, national and local needs of industry. The specialization in last semester makes the programme unique one.

Key Information

Duration
3 Year
Programme Code
ST4404
Mode of study
Full time
Campus
Vidyavihar - Mumbai

Programme Objectives

  • To provide an in-depth knowledge and foundation of statistics and mathematics required for professional Data Science.
  • To make students ready for critical thinking required for analysis and analytics of data.
  • To equip the students with the necessary skills to excel and to upgrade them in their workplace.
  • To prepare the students for a challenging environment by providing them hands-on experience on real dataset.

Pedagogy

A combination of innovative teaching methods, guest speakers, hands-on experience of new technology, interaction with subject experts provide the student with an ambience that helps them to become a successful data scientist and contribute in industry while making important decisions. The pedagogies used will help the student to get a perspective and encourage logical thinking with flexibility of execution.

pedagogy

Scope

The student graduating BSc in Data Science can be considered as an industry ready person and can be recruited by the company as a data scientist, analytics or as a data visualizer. Students will be in the position to develop their own algorithm or own product for performing data analysis. They can communicate professionally for handling various professional tasks.

After successful completion of the program, students can opt for higher studies or even they can choose the research area. Data Science has a large scope and has applications in every sector of industry like Banking, entertainment, health, agriculture, education, politics, and food and even in environmental science.

Specializations Offered

  • Big Data Analytics
  • Machine Learning
  • Natural Language Processing
  • Security

Curriculum

Semester I Semester II
Foundations of Descriptive Statistics Probability Theory
Calculus Combinatorics
Data Management using Spreadsheet Data Analysis and Visualization using Spreadsheet
Introduction to programming through Python Database Concept & SQL Programming
Professional Communication Skill - I Professional Communication Skill - II
Indian Knowledge System Environmental Studies & Sustainability
Minor Elective (Any one) Minor Elective
The minor electives will be offered from the following domains :- Marketing, Management, Data Science, Web Designing, Cybersecurity, Accounting, Taxation, Finance, Financial Markets, Investment Banking, Commercial Data Science, Banking, Biotechnology, Mass communication, Embedded Systems and IoT.
Semester III Semester IV
Introduction to Data Science Data Warehousing and Mining
Data Structure using python PowerBI
Oracle and PL/SQL Inferential Statistics
Professional Communication Skill III Professional Ethics and CSR
Introduction to Financial Accounting Graph Theory and Optimization
Econometrics Open Course
Minor Elective Minor Elective

Graduate Attributes

  • Academic excellence
  • Analytical Thinking
  • Critical Thinking:
  • Creativity and originality
  • Engagement with the Society
  • Environmental Sensitivity
  • Leadership and team spirit
  • Professional Efficiency
  • Strong presentation & communication skills
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