Home / Institute of Technology (KJIT) / Master of Science in Data Science (M.Sc. DS)
Kristu Jayanti University offers a two-year, full-time Master of Science in Data Science (M.Sc. DS) programme. Established in 2023, the programme is designed to develop skilled Data Science professionals through an integrated curriculum that combines Machine Learning, Big Data Analytics, and Statistics. This foundation in decision sciences, research, and globally relevant industry applications equips students to excel in data-driven roles across diverse sectors.
Students learn to pre-process and visualise data, implement statistical and machine learning models, design data pipelines, work with cloud platforms, and communicate insights to stakeholders. An end-to-end capstone project, hackathons, workshops and placement support prepare graduates for roles as Data Scientists, ML Engineers, Data Engineers and Analytics Consultants.
Combines Machine Learning, Big Data Analytics and Statistics with decision sciences and industry applications.
Pre-process data, build predictive models, design pipelines, deploy on cloud and complete an end-to-end capstone project.
National hackathons, Kaggle, workshops, cloud bootcamps, guest lectures and placement support for analytics careers.
A two-year postgraduate pathway developing skilled Data Science professionals for data-driven roles across sectors.
Programme Title: M.Sc. Data Science
Specialization: Artificial Intelligence & Machine Learning, Data Science & Analytics, Cyber Security & Cloud Computing
Duration: 2 Years
Study Mode: Full Time
Core Academic Focus Areas: Data Analytics, Statistics, Machine Learning, AI, Big Data, Data Visualization
Practical Components: Data Analytics Labs, Projects, Internships, Case Studies, Industry Interaction
Learning Pathway: Core Courses, Data Science Electives, Certifications, Industry Projects, Internship, Research & Innovation
Comprehensive semester-wise course distribution aligning statistical foundations, big data analytics, and advanced machine learning.
Review the mandatory academic qualifications and minimum score criteria required for admission.
Looking for a programme that matches your interests?
Find Programmes by InterestAfter the successful completion of the two-year degree programme, the student will be able to:
PSO1: Apply data science tools and techniques to solve real-world problems.
PSO2: Work effectively as data science professionals in interdisciplinary and multicultural environments.
PSO3: Pursue research and innovation contributing to scientific, societal, and national development.
Key strengths, experiential learning, and strategic career advantages offered by the programme.
Data-driven decision-making is central to modern organisations. A focused postgraduate programme in Data Science builds the technical, analytical and professional skills needed to turn data into insight and action.
The M.Sc. Data Science programme integrates Machine Learning, Big Data and Statistics with hands-on practice, capstone research and industry engagement—preparing graduates for high-demand roles across sectors.
Choosing this programme enables students to:
With strong technical foundations and applied experience, graduates are ready for data science, machine learning and analytics careers in industry and research.