| Overview

The MSc in Computer Science with Data Science at CHRIST University Pune Lavasa is a two-year, full-time postgraduate program that integrates advanced computer science concepts with the latest trends in data science. Designed for students who wish to become experts in the evolving fields of artificial intelligence, machine learning, and big data, this program provides a solid foundation in core computer science while deepening your knowledge of data-driven technologies.

With a strong emphasis on research, practical learning, and industry collaboration, students are exposed to cutting-edge tools and technologies like Python, R, cloud computing, and deep learning. The program focuses on solving real-world problems through hands-on projects, internships, and live industry partnerships, ensuring that students gain the skills needed to succeed in top tech roles. Specialised electives in areas like Computer Vision, Big Data Analytics, and Natural Language Processing provide students with the expertise needed to tackle the challenges of tomorrow’s technology landscape.

| Why choose this programme

• Cutting-Edge Curriculum combining Computer Science and Data Science to meet industry demands.
• Research-Oriented approach, offering opportunities for independent research and academic publications.
• Hands-on Learning through internships, industry projects, and specialisation electives.
• Exposure to Emerging Technologies like AI, Cloud Computing, Blockchain, and IoT.
• Strong Industry Collaboration with tech companies for real-world exposure and career advancement.
• Specialization Options in Computer Vision, Big Data Analytics, and Natural Language Processing.
• Comprehensive training in Data Science tools including Python, R, Data Mining, and Deep Learning.

| What will you learn?

• Core Computer Science concepts like Data Structures, Algorithms, and Software Engineering.
• Advanced techniques in Data Science, including Machine Learning, Data Mining, and Big Data Analytics.
• Practical skills in AI, Deep Learning, Natural Language Processing, and Computer Vision.
• Data Visualisation and Business Intelligence tools for analyzing and presenting complex data.
• Cloud Administration, Data Security, and Web Development practices for modern tech solutions.
• Research Methodologies for formulating and implementing data-driven projects.
• Specialised knowledge in Spatio-Temporal Analytics, Social Media Analytics, and Quantitative Data Analysis.
• Industry-Specific Applications like Financial Analytics, IoT, and Mobile Application Development.
• The ability to manage and lead data-driven projects and collaborate effectively in team-based environments.

| Modules

Year 1

• Computer Science Foundations
  Programming, Data Structures, and Algorithms
  Database Management and Data Engineering

• Mathematics and Statistical Methods for Data Science

• Data Science Fundamentals
  Machine Learning: Principles and Techniques

• Software Engineering and Development Practices

• Research Methodologies in Computational Sciences

• Professional Skills and Communication
   

Year 2

• Advanced Data Science and Machine Learning

• Big Data and Cloud Computing

• Specialized Data Science Applications

• Industry Integration and Practical Learning

• Research and Capstone Project

• Professional Development