Programs & Syllabus ( with PO, PSO, CO)

M.Sc. Computer Science (Data Analytics)

Course Duration: 2 years (4 Semesters)

Year Started  : 2020

No. of seats : 12

This programme aims to equip students with multidisciplinary skills in computer science, machine learning, and statistics. This programme prepares students to gather, describe, and analyse data, and use advanced statistical tools to make decisions. This programme will cover fundamental algorithms and techniques used in data analytics.

The MSc Computer Science (Data Analytics) program offered by St. Peter’s College will cater to the growing demand for the best qualified and trained data analysts in the industry for graduates in computer science.

 Courses

  • CA030101 – Statistics for Data Analytics
  • CA030102 – Introduction to Data Analytics and Machine Learning
  • CA030103 – Advanced Operating Systems
  • CA030104 – Data Structure using C
  • CA030105 – Python Programming for Analytics
  • CA030201 – Mathematics for Data Analytics
  • CA030202 – Advanced Database Management system
  • CA030203 – Data Mining and Analytics
  • CA030204 – Programming with Java
  • CA030301 – Statistical Modeling using R
  • CA030302 – Exploratory Data Analytics for NLP
  • CA030303 – Computational Research Methodology
  • CA030401 – Data Visualization

Elective Courses

  • CA870301 – Sentiment Analytics – (Semester III)
  • CA870401 – Internet of Things and Data Management – (Semester IV)
  • CA870402 – Deep Learning – (Semester IV)

Practical

  • CA030106 – Python & Data Structure Lab (Semester I)
  • CA030205 – Java & SQL Lab (Semester II)
  • CA030304 – Statistical Programming Lab using R (Semester III)

 Project

  • CA030206 – Mini Project I (Semester II)
  • CA030305 – Mini Project II (Semester III)
  • CA030402 – Project (Semester IV)

PO, PSO, CO

Syllabus