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Department of Computational Studies / B.Sc. Data Science
The Bachelor of Science in Data Science is a four-year honours degree designed to build strong analytical, computational, and problem-solving abilities for the data-driven world. The curriculum integrates mathematics, statistics, computer science, and machine learning to enable students to collect, process, analyse, and interpret complex data for informed decision-making. Learners gain practical experience in data visualization, predictive modelling, big data analytics, and artificial intelligence applications through hands-on labs, projects, and internships.
Academic alliances with Celonis, Qlik, and UiPath provide students with exposure to real-world data intelligence, automation, and process optimization tools, enhancing their technical proficiency and industry readiness. After successful completion of four years, students are awarded an Honours degree; they may exit after three years with a Bachelor’s degree.
Integrates mathematics, statistics, computer science and machine learning to collect, process, analyse and interpret complex data.
Academic alliances with Celonis, Qlik and UiPath for data intelligence, automation and process optimization tools.
Four-year Honours degree with the option to exit after three years with a Bachelor’s degree.
Graduates are well-prepared for roles such as data analyst, business intelligence developer, data engineer, machine learning engineer and data scientist across IT, finance, healthcare and research.
A four-year Honours B.Sc. building analytical, computational and problem-solving abilities for the data-driven world.
Programme: Bachelor of Science (B.Sc.) – Data Science
Duration: 4 Years Honours (optional exit after 3 years with Bachelor’s degree)
Mode: Full-Time Undergraduate Programme
Academic Focus: Mathematics, statistics, computer science and machine learning; data visualization, predictive modelling, big data and AI applications
Industry Partners: Celonis, Qlik, UiPath
Pathway: Data analyst, BI developer, data engineer, ML engineer and data scientist roles across IT, finance, healthcare and research
Review the mandatory academic qualifications and minimum score criteria required for admission.
Candidates who have completed Higher Secondary (10+2/PUC) or equivalent in Science and should have studied Mathematics as a subject, with an aggregate of 40% or an equivalent CGPA, are eligible.
Looking for a programme that matches your interests?
Find Programmes by InterestOutcome-based learning that builds analytical and computational competence for data-driven careers.
Strong analytical, computational and problem-solving abilities through mathematics, statistics and computer science.
Ability to collect, process, analyse and interpret complex data for informed decision-making.
Practical experience in data visualization, predictive modelling, big data analytics and AI applications.
Exposure to Celonis, Qlik and UiPath for data intelligence, automation and process optimization.
Labs, projects and internships that build technical proficiency and industry readiness.
Preparation for data analyst, BI developer, data engineer, ML engineer and data scientist roles, with scope for higher studies and certifications.
Organisations across IT, finance, healthcare and research rely on professionals who can turn complex data into informed decisions. A strong blend of mathematics, statistics, computing and machine learning is essential.
B.Sc. Data Science at Kristu Jayanti integrates these disciplines with hands-on labs, projects, internships and industry alliances with Celonis, Qlik and UiPath, preparing graduates for data-intensive roles and higher studies.
Choosing this programme enables students to:
With analytical depth and industry tools, graduates are prepared for diverse data science careers and for professional certifications.