Overview

The Post Graduate Diploma in Data Analytics is designed to serves 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:
1. To provide a foundational understanding of statistical and computational methods for data analysis.
2. To train students in widely used analytical software tools such as R, Python, Excel, SPSS, Power BI, and Tableau.
3. To impart practical skills in data cleaning, visualization, and predictive modelling.
4. To expose leaners to real-world datasets and projects relevant to business, health, and technology sectors.
5. To prepare graduates for data analyst, business analyst, biostatistician, and data visualization roles in various industries.
6. To develop ethical and responsible approaches to data handling and decision-making.

1.1. Duration & Mode

• Duration: 1 academic year (2 semesters)
• Mode: Part-time (classroom + lab + project)

Eligibility

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.s

Why Choose this Programme

• Fast-track upskilling
• Balanced curriculum with statistics + practical training
• Hands-on labs & projects
• Career-focused training
• Exposure to tools like R, Excel

What you will learn

By the end of the program, graduates will:

1. Apply statistical methods to real-world data.
2. Write reproducible code in R.
3. Build and evaluate predictive models.
4. Communicate insights using visualizations.
5. Handle data ethically and responsibly.

Programme Matrix