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Institute of Technology / 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.
Graduates are in demand across industries that rely on data-driven decision-making—from IT and FinTech to healthcare and consulting.
A two-year postgraduate pathway developing skilled Data Science professionals for data-driven roles across sectors.
Programme: Master of Science in Data Science (M.Sc. DS)
Duration: 2 Years (Full-Time Postgraduate Programme)
Mode: Full-Time Postgraduate Programme
Academic Focus: Machine Learning, Big Data Analytics, Statistics, decision sciences and industry applications
Practical Component: Hands-on labs, hackathons, Kaggle, workshops, cloud bootcamps, capstone project and placement support
Pathway: Data Scientist, ML Engineer, Data Engineer, Analytics Consultant and research roles
Review the mandatory academic qualifications and minimum score criteria required for admission.
Candidates with B.Sc. Data Science, B.Sc. Data Analytics, B.Sc. Computer Science, BCA, B.E., B.Tech., or B.Sc. Mathematics/Statistics/Physics/Electronics with not less than 50% aggregate marks (45% for SC/ST) are eligible; candidates without a Computer Science background must undergo a mandatory Bridge Course in Computer Science.
Looking for a programme that matches your interests?
Find Programmes by InterestOutcome-based learning that builds core technical, analytical and research skills for data-driven professional roles.
Ability to pre-process, clean and visualise large, messy datasets for analysis and decision-making.
Implement statistical models and modern machine learning algorithms; build and evaluate predictive and prescriptive models.
Work with relational and non-relational databases, design data pipelines and use cloud platforms for model deployment.
Program in Python/R and use libraries such as Pandas, scikit-learn, TensorFlow/PyTorch for applied data science.
Translate business problems into data questions, interpret results and communicate findings to non-technical stakeholders.
Apply responsible AI principles, manage reproducible workflows and complete an end-to-end capstone with literature review and experimentation.
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.