Executive Diploma in Data Science & Artificial Intelligence from IIITB

In just 3 more months become a π-shaped professional.

The technology sector has evolved. Traditional T shaped single-specialty roles create bottlenecks, slow project velocity, and leave critical knowledge gaps. Today's employers need π-shaped professionals - someone with two deep, complementary specialisations while maintaining broad knowledge across domains, who can own entire project lifecycles.

A Postgraduate Diploma in Data Science is a postgraduate program that builds practical skills for managing and analyzing data. Unlike a full master’s degree, it is shorter, usually 6–12 months and emphasizes industry-focused learning through projects, assignments, and sometimes internships. 

In 2024, the India data science platform market was valued at USD 498.2 million and is projected to grow to USD 2,551.2 million by 2033, at a CAGR of 18.91% from 2025–2033. This growth reflects the rising need for professionals trained in data science. 

A Postgraduate Diploma in Data Science typically covers: 

• Statistics and Mathematics for Data 

• Machine Learning and Predictive Modeling 

• Programming (Python/R, SQL) 

• Big Data Tools and Technologies 

• Data Visualization and Storytelling 

• Model Deployment and Applications 

• Hands-on Learning through Projects, Capstone Work, and Internships

A PG Diploma in Data Science is a popular choice for those who want practical, career-focused training without the long commitment of a master’s. Many also prefer this PGD in data science for its flexibility and placement support.

Here are key reasons people opt for a PG Diploma in Data Science rather than waiting for a full master’s:

• Faster entry into the job market: shorter duration means less lag time.

• Industry-aligned curriculum: you learn tools and techniques that employers actually need.

• Versatility of roles: Data Analyst, Data Scientist, Machine Learning Engineer, BI Analyst etc.

• Flexibility in learning modes: many diplomas allow online or part-time options.

• Lower cost and commitment: compared to a master’s, but still more rigorous than simple certificate courses.

A Postgraduate Diploma in Data Science course is designed to give you practical skills and industry-focused knowledge. It combines core concepts with hands-on training so you can apply what you learn directly in real-world scenarios. 

Key Components of the Curriculum: 

A PG Diploma in Data Science (also called as PGD in data science) opens the door to a wide range of high-demand jobs. Many programs, especially those offering a PG Diploma in Data Science with placement, provide guidance and support to help learners transition into data-focused careers.

Top job roles and average annual salaries in India after completing postgraduate diploma in data science:

• Data Analyst – INR 6.7L

• Machine Learning Engineer – INR 11.7L

• Data Scientist – INR 15L

• Data Engineer – INR 11.4L

• Business Intelligence Analyst – INR 9.5L

Sourced By: Ambition Box

Sectors Hiring:

• E-commerce & Retail

• Finance & Banking

• Healthcare & Life Sciences

• Telecom / Internet / SaaS
• Consulting & Analytics firms

Choosing the right Postgraduate Diploma in Data Science is essential to gain the skills and support needed for a successful career. The ideal postgraduate diploma in data science program combines practical learning, industry-relevant curriculum, and placement assistance to help you transition smoothly into data roles.

Key Factors to Consider:

• Accreditation & Brand: Ensure the institution is recognized and reputable.

• Curriculum Relevance: Look for courses aligned with current industry tools and technologies.

• Hands-on / Project Work: Practical learning through projects or capstone assignments is essential.

• Placement / Internship Support: Especially important if you choose a PG Diploma in Data Science with placement.

• Faculty Expertise / Industry Mentors: Experienced instructors provide guidance and industry insights.

• Flexibility: Check for online, hybrid, or offline options and course pace that fits your schedule.

• Alumni Outcomes: Review past students’ placements, career growth, and success stories.