M.Sc. Data Science and Business Analysis

The M.Sc. in Data Science and Business Analysis programme from Rathinam College of Arts and Science is a full-time Master’s programme that includes teaching students with theoretical and practical aspects to help them gain knowledge and skills needed to establish themselves as professionals in the field of Business Analytics and Data Science. Students will also get to learn cutting edge Data Science methods and data engineering at scale, with application to diverse business domains. If you want to ride the wave of automation and transformation, enrol in our M.Sc. Data Science and Business Analysis programme and qualify for a better tomorrow.

  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Best-in-class faculty
  • Tech-enabled program delivery using tablets, PCs and learning management system
  • Emphasis on application-oriented learning
  • Reputed university with excellent campus and infrastructure
  • 100% placement support*

Program Details

  • To prepare students to establish themselves as effective professionals by learning technical skills in Business Analytics and Data Science fields.
  • To help students gain theoretical and In-depth practical knowledge to analyse the key business processes of an organization throughout the entire product life cycle.
  • To ensure students get to understand the Business Analytics techniques and associated advanced techniques through our classroom-practical oriented curriculum.
  • To prepare students to understand and analyse models, tools and techniques for enforcement of business analysis to different business industries.
  • To equip students with the right knowledge to help them provide solutions, assessments and validation to a broad range of situations by eliciting, planning, monitoring and analyzing enterprise requirements.
  • Provide a platform for students to understand various Business Analytics techniques of data preprocessing, storing, descriptive and predictive analytics.


*Subject to change

  • Business Fundamentals – I
  • Business Statistics and Probability
  • Analytics using Excel
  • R Programming Language
  • Business Economics
  • Database Management System
  • R Programming Language Lab
  • Database Management System Lab
  • Big Data Analytics
  • Machine Learning
  • Exploratory Data Analysis
  • Python Programming
  • Market Research and Analytics
  • Business Fundamentals – II
  • Big Data Analytics Lab
  • Python Programming Lab
  • Machine Learning Lab
  • Financial Econometrics
  • Data Visualization
  • Elective I
  • Elective II
  • Advanced Machine Learning
  • Data Analytics using SQL
  • Financial Econometrics Lab
  • Mini Project
  • Industrial Training Report-I
  • Financial Econometrics
  • Artificial Neural Networks and Deep Learning
  • Elective III
  • Advanced Big Data Analytics
  • Major Project / Internship

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Enrolled: 3 students
Duration: 2 Years | Full-time Program