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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.
The key objectives are:
Core statistical principles, probability, descriptive statistics, and computational workflows using R, Python, and spreadsheets.
Hands-on training in data cleaning, exploratory data analysis, dashboard creation, Power BI, Tableau, and Excel reporting.
Practical experience in predictive modelling, time series analysis, optimization techniques, real-world datasets, and capstone project work.
A one-year career-oriented diploma bridging traditional statistics and contemporary data science for rapid analytical upskilling.
Programme Title: One year Post Graduate Diploma in Data Analytics
Specialization: Data Analytics
Duration: 1 year
Study Mode: Part-time (classroom + lab + project)
Core Academic Focus Areas: Data Handling & Preparation, Statistical Computing, Data Visualization & Reporting, Exploratory Data Analysis, Statistical Modelling & Predictive Analytics, Database & Data Querying, Business & Applied Analytics, Data-Driven Decision Making, Mini Projects, and Industry-Oriented Practical Training.
Learning Pathway: Programming & Statistical Computing, Data Visualization & Business Intelligence, Data Science & Machine Learning, Advanced Data Analytics, Domain-Specific Electives, Industry Certifications & Skill Courses, Experiential Learning, and Capstone/Mini Project.
Comprehensive semester-wise course distribution covering descriptive statistics, spreadsheet analysis, R and BI tools, Python EDA, and capstone project.
Review the mandatory academic qualifications and minimum score criteria required for admission.
Candidates with any Bachelor’s degree with a minimum of 50% marks (45% for SC/ ST candidates) from a recognized University are eligible to apply.
Looking for a programme that matches your interests?
Find Programmes by InterestTargeted competencies and practical mastery achieved by graduates throughout their academic journey.
PSO1: Apply foundational and applied statistical methods to real-world datasets for business and analytical decision support.
PSO2: Write reproducible code and execute data handling, cleaning, and preparation workflows using R, Python, and spreadsheets.
PSO3: Design interactive visual dashboards, reports, and exploratory data visualizations using Power BI, Tableau, and Excel.
PSO4: Build, evaluate, and interpret predictive models, optimization techniques, and time series analyses for domain-specific problems.
PSO5: Execute hands-on capstone projects and handle data responsibly and ethically across business, healthcare, and technology contexts.
Key strengths, experiential learning, and strategic career advantages offered by the programme.
Many graduates seek analytical upskilling without committing to a multi-year master's degree. A focused one-year postgraduate diploma bridges foundational statistics and contemporary data analytics for immediate entry into high-demand analyst roles.
The Post Graduate Diploma in Data Analytics at Kristu Jayanti delivers a robust mix of statistical foundations, programming, business intelligence, and real-world project work designed for rapid professional impact.
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 analytics roles across diverse industries.