B.sc Data Science


Affiliated To Mumbai University

Who is this program for?

If you’re interested in using scientific methods and programming skills to harness the hidden potential in raw data and benefit from a high paying career, the field of Data Science is the right one for you.
The data science field is buzzing with activity today. The inter-disciplinary field uses robust analytical tools to make the right business decisions and achieve excellent business growth.
Learn how to become a master in coding, machine learning, analytical skills, communication skills, collaboration, gain insights into data driven marketing strategies to lead your organisation to the pinnacle of success.

So what are you waiting for?

Come, be a part of the dynamic and evolving field of Data Science and get set to grab the incredible opportunities that await you!

About the Course:

B.Sc (Data Science) is a 3 year Degree program divided into 6 semesters.

Eligibility:

A candidate for being eligible for admission to the degree course in Bachelor of Science – Data Science, shall have passed XII Std. Examination of the Maharashtra State Board of Secondary and Higher Secondary Education or its equivalent with Mathematics as one of the subject and should have secured not less than 45% marks in aggregate and 40% marks in aggregate in case of reserved category candidates.

AND

Candidates who have passed Diploma in Computer Engineering / Computer Science / Computer Technology / Information Technology / Electrical, Electronics & Video Engineering and Allied Branches/ Mechanical and Allied branches, Civil and Allied branches of Engineering after S.S.C. (Xth standard) are eligible for direct admission to the Second Year of the B.Sc. (D.S.) degree course. However, the Diploma should be recognized by the Maharashtra State Board of Technical Education or any other recognized Government body. Minimum marks required 45% aggregate for open category candidates and 40% aggregate for reserved category candidates.

OR

Students with post HSC - Diploma in Computer Engineering / Computer Science / Computer Technology / Information Technology and Allied Branches will be eligible for direct admission to the Second Year of B.Sc. (D.S.) However, the Diploma should be recognized by the Maharashtra State Board of Technical Education or any other recognized Government body.

Program Details:

This course equips the students with skills that are in high demand from Data Analytics industry B.Sc. DS is the stepping stone for every young student who aspires for a successful career in Data Analytics.This course focuses on subjects like Data Analysis. Analytics using Excel, Programming languages like R-Programming and Python programming,Software Engineering , Databases, SQL/PLSQL, Software project management ,Artificial intelligence, Machine learning, and Big Data Technologies such as Hadoop, Spark etc. A broad and flexible programme that provides the freedom to choose from an extremely wide range of Data Science topics.

B.Sc Data Science Syllabus :


SEMESTER 1

  • Descriptive Statistics
  • Introduction to Programming
  • Web Technology
  • Business Communication and Information Ethics
  • Precalculus

SEMESTER 2

  • Probability and Distributions
  • Database Management
  • R Programming
  • Environmental Science
  • Calculus

SEMESTER 3

  • Research Methods and Ethics
  • Data Structures and Algorithms using Python
  • Economics
  • Data Warehousing and Mining
  • Linear Algebra and Discrete Mathematics

SEMESTER 4

  • Testing of Hypothesis
  • Big Data
  • Fundamentals of Accounting
  • Artificial Intelligence
  • Numerical Methods

SEMESTER 5

  • Computer Vision
  • Computer Vision Practical
  • Data Engineering
  • Data Engineering Practical
  • Robotic Process Automation
  • Robotic Process Automation Practical
  • Campus to Corporate
  • Project Dissertation
Elective 1 (Select Any on of the following)
  • Social Media Analytics
  • Business forecasting
  • Marketing & Retail Analytics
Compulsory Practical
  • Data Visualisation with Tableau

SEMESTER 6

  • Machine Learning
  • Machine Learning Practical
  • Exploratory Data Analysis
  • Exploratory Data Analysis Practical
  • Internet of Thing
  • Internet of thing Practical
  • Applied Business Analytics
  • Applied Business Analytics Practical
Elective 2 (Select Any one of the following)
  • Sports Analytics
  • Healthcare Analytics
  • Data Governance
Compulsory (Project Implementation)
  • Project Implementation

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