Undergraduate Programmes

Postgraduate Programmes



M. Sc Computer Science

Specialisation in Data Science

Eligibility: A pass in B.Sc. (CS) / BCA / B.Sc. (IT) / B.Sc. (ECS)

Our Programme mainly focuses on Digital Technology using Data Science with core concepts and recent trends.

Why Data Science is a part of Digital Technology

  • Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured referred as Big data
  • Big data is high-volume, and high-velocity and/or high-variety information assets that enable enhanced insight, decision making, and process automation

Main components of data science are,

  • Statistics is a branch of mathematics dealing with the collection, analysis, interpretation, presentation and organization of data.
  • Visualization is to display the results of Data Science analysis in a form of diagrams, charts and graphs using tools Tableau.
  • Machine Learning is a broad class of methods that revolve around data modelling to decipher patterns in data and make predictions.

What is Digital Revolution ?

RVS moves towards Digital Technologies

Software Architects to change the trend of the Computer Science world.

  • 80 % of output from 20% of input
  • Quick results through minimum time constraints
  • Benefits for MNC’s like automation, etc

Internet Services for better Customer Expectation

  • Search Engines (Google & Bing)
  • Marketing (Predict human psychology)
  • Medical Services (Identify the diseases)
  • Transactions (Banking, E-commerce, Wallets)

Semester I

  • Applied Statistics for computer science
  • Statistical Programming using R & Python
  • Introduction to Databases
  • Programming Lab1 (R & Python)
  • Statistics Lab 1 (Excel)
  • Database Lab1 (MySQL)

Semester II

  • Data Manipulation & Visualization
  • Introduction to Machine Learning
  • Introduction to Big Data Technologies
  • Elective 1
  • Machine Learning Lab 1
  • Data Visualization Lab 1 (Tableau Desktop Associate Certificate*)
  • Big Data Lab 1 ( Spark and Hadoop Developer *)

Semester III

  • Data Structures and Algorithms
  • Advanced Machine Learning
  • Introduction to NoSQL Databases
  • Neural Networks and Deep Learning
  • Elective 2
  • Big Data Lab 2 (CCA Data Analyst*)
  • Machine Learning Lab 2

Semester IV

  • Capstone Project
  • Electives
  • Text Mining & Social Media Analytics
  • Business Applications of Time Series Analysis
  • Health Care Analytics
  • Financial Analytics
  • Marketing Analytics
  • HR Analytics

-> Curriculum aligned with international certification but taking the international certificate exam is optional

Curriculum designed by Industry experts

We have organised our curriculum along with Digital Technology Courses to seamlessly incorporate the industry practices to stay relevant to the industry demands from experts

Elective Courses to enhance skills in Digital Technologies

  • Cyber Security
  • Artificial Intelligence
  • Android Programming

Practical Exposure in Real-time Projects

Students must under-go projects to get hands-on experience on industry working pipeline in the following areas

  • Enables the students to obtain Specialization in the areas of Artificial Intelligence that empowers the students to develop Programming tools which integrates digital technology.
  • Specialty of Artificial Intelligence in curriculum to train students in NoSQL, Data Mining, Python, Machine Learning, and Animation & Robotics
  • Hands-on experience with real-time applications like Automated systems, Digitization Process, Games.

Excellent Career Opportunities with attractive salary package

Students of M.Sc Computer Science can go for jobs as soon as they finish their post graduation. The top IT firms in India such as Wipro, TCS and Mahindra satyam etc offer aspirants very attractive packages.

  • Digital technology skills
  • Game Programmers
  • Multimedia developers
  • Educators
  • Web Developer
  • Web Designer
  • Associate Trainer
  • Project Leader
  • Software Engineer