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Department of Physical Sciences / Post Graduate Diploma in Data Analytics
The Post Graduate Diploma in Data Analytics is designed to serve as a bridge between traditional statistics and contemporary data science, offering a career-oriented programme suitable for graduates from diverse disciplines seeking analytical upskilling in a shorter duration (one academic year). The course offers core statistical principles, programming, and applied analytics — equipping graduates with essential skills for roles in business intelligence, data-driven decision-making, and predictive modelling.
Key objectives include providing a foundational understanding of statistical and computational methods for data analysis; training in widely used tools such as R, Python, Excel, SPSS, Power BI and Tableau; imparting practical skills in data cleaning, visualization and predictive modelling; exposure to real-world datasets and projects relevant to business, health and technology; preparation for data analyst, business analyst, biostatistician and data visualization roles; and developing ethical and responsible approaches to data handling and decision-making.
One academic year (two semesters) bridging traditional statistics and contemporary data science for graduates seeking analytical skills in a shorter duration.
Training in R, Python, Excel, SPSS, Power BI and Tableau — data cleaning, visualization and predictive modelling.
Preparation for data analyst, business analyst, biostatistician and data visualization roles across industries.
Graduates are prepared for data analyst, business analyst, biostatistician and data visualization roles across industries.
A one-year career-oriented diploma bridging statistics and data science for analytical upskilling.
Programme: Post Graduate Diploma in Data Analytics
Duration: 1 Academic Year (2 Semesters)
Mode: Part-time (classroom + lab + project)
Focus: Statistical principles, programming and applied analytics
Tools: R, Python, Excel, SPSS, Power BI, Tableau
Pathway: Data analyst, business analyst, biostatistician and data visualization roles
Review the mandatory academic qualifications and minimum score criteria required for admission.
Candidates with a Bachelor’s degree with a minimum of 50% aggregate marks (45% for SC/ST candidates) from a recognised university are eligible.
Looking for a programme that matches your interests?
Find Programmes by InterestOutcome-based learning for graduates seeking analytical upskilling in a one-year career-oriented diploma.
Apply statistical methods to real-world data for insight and decision support.
Write reproducible code in R for data analysis and reporting workflows.
Build and evaluate predictive models for business, health and technology contexts.
Communicate insights using visualizations and reporting tools such as Power BI and Tableau.
Handle data ethically and responsibly in analysis and decision-making.
Practical competence with R, Python, Excel, SPSS, Power BI and Tableau for applied analytics.
Many graduates seek analytical upskilling without committing to a full two-year master’s degree. A focused one-year diploma can bridge traditional statistics and contemporary data science for entry into analyst roles.
The Post Graduate Diploma in Data Analytics at Kristu Jayanti offers core statistical principles, programming and applied analytics in a part-time format (classroom + lab + project), with training in industry tools and real-world projects.
Choosing this programme enables students to:
With a one-year, career-oriented design, graduates are prepared for business intelligence, data-driven decision-making and predictive modelling roles.