The Post Graduate Diploma in Data Analytics and Generative AI is a one-year program designed to provide a comprehensive understanding of data science, artificial intelligence (AI), and generative AI technologies, equipping students with in-demand technical skills and practical knowledge. The curriculum covers essential topics such as Python programming, data visualization, machine learning, deep learning, and generative AI models like ChatGPT and DALL-E 2, while also emphasizing tools like Tableau, Power BI, TensorFlow, and SQL. Through hands-on projects and capstone assignments, students gain real-world experience in solving complex problems and building interactive dashboards. The program prepares participants for high-demand roles such as Data Scientist, Machine Learning Engineer, Generative AI Specialist, or Business Analyst by offering career-focused workshops, networking opportunities, and job assistance services. With a blended learning approach that combines live sessions with self-paced modules led by industry experts, this program is ideal for graduates or professionals looking to transition into the rapidly evolving fields of data analytics and AI.
Graduates of this program will:
Post Graduate Diploma (Data Analytics and Gen AI) -Program structures
Sem-1
Sr.No. | Course Code | Course Name |
1 | PGDDAAI25101 | Programming Fundamentals using Python |
2 | PGDDAAI25102 | Statistics for Data Science (TCSiON) |
3 | PGDDAAI25103 | Machine Learning Fundamentals (TCSiON) |
4 | PGDDAAI25104 | Data Warehousing and predictive Modeling |
5 | PGDDAAI25105 |
Data Visualization using Tableau and PowerBI (TCSiON) |
6 | PGDDAAI25106 | Campus to Corporate |
Sem-2
Sr.No |
Course Code | Course Name |
1 | PGDDAAI25201 |
Introduction to Artificial Intelligence (TCSiON) |
2 | PGDDAAI25202 | Deep Learning |
3 | PGDDAAI25203 | Natural Language Processing |
4 | PGDDAAI25204 | Big Data Technologies (TCSiON) |
5 | PGDDAAI25205 | Generative Artificial Intelligence |
6 | PGDDAAI25206 | Industry Project |
Graduates can pursue diverse roles across industries such as technology, healthcare, finance, retail, manufacturing, and media. Popular career opportunities include:
Artificial Intelligence Roles:
Data Analytics Roles:
High-Paying Opportunities:
Entry-level roles like Data Analysts earn around ₹4–5 LPA, while experienced professionals such as Machine Learning Engineers or Data Architects can earn ₹12–25 LPA or more. Emerging roles include Ethical AI Specialists and Responsible Data Governance Experts.
With the growing demand for skilled professionals in AI and Data Science—projected to increase by up to 40% by 2027—this program prepares students for lucrative careers in these dynamic fields.
“In Vishwakarma University we get a unique opportunity to team with students from multiple disciplines and come up with real-time projects which consider all the aspects. I believe the willingness of the professors to help us, not only in the areas pertinent to their class but also our endeavors outside of the classroom, makes the department stand out. University has signed many MoUs and various interactive sessions by the industry experts are arranged. Professors try to introduce some exciting projects and activities which give a practical glimpse of what's actually happening out there in the world, helping us maximize our potential.”
-Nimisha Doshi, Student
“I have always been given a lot of opportunities by Vishwakarma University time and time again, whether it be to start a new software club, be an intern at an international research project, or lead the coordination of various events. The teachers here truly value the students who put in the efforts and never cease to help them when in need.”
-Karan Jagtiani, Student
“Vishwakarma University provides the students the opportunities to connect with industry and practice what they learn along with well-experienced faculty and industrial experts. There is immense support provided to students when they want to learn something new. The faculty are also supportive and available to help students whenever they need it. Overall learn, practice, experience, and grow are the four pillars of the university.”
-Kunal Agarwal, Student