Post Graduate Diploma in Data Science with Machine Learning & AI

The Post Graduate Diploma in Data Science with Machine Learning & AI is a comprehensive, career-focused program designed to build highly skilled professionals in the growing field of data-driven technologies. This program provides learners with a structured pathway to gain expertise in statistical foundations, programming, database management, data analysis tools, and advanced AI applications.

The curriculum is divided into three trimesters:

Trimester 01 introduces the fundamentals of data science, beginning with Statistics, where students learn descriptive and inferential techniques, probability distributions, hypothesis testing, sampling, and experiment design. Learners then move on to Python Programming, developing proficiency in data structures, libraries such as NumPy, Pandas, and Scikit-Learn, and techniques for preprocessing and preparing datasets for machine learning. The trimester also covers SQL, enabling students to query, join, and analyze relational databases, alongside Analytics Tools such as Microsoft Excel and Power BI for data cleaning, visualization, and interactive dashboard creation.

Trimester 02 advances into Data Mining, focusing on data preprocessing, web scraping, association rule mining, classification, clustering, anomaly detection, and data warehousing. Students then explore Machine Learning, covering regression, classification, decision trees, and ensemble methods like random forests, with strong emphasis on practical implementation in Python. The trimester also includes Deep Learning, where learners gain hands-on experience with neural networks, optimization techniques, convolutional and recurrent architectures, generative models, and applications in computer vision and natural language processing.

Trimester 03 focuses on AI Integration, equipping learners with modern generative AI tools and AutoML platforms to accelerate coding, SQL query generation, model building, and deployment. Students also learn prompt engineering and practical use of AI to automate repetitive tasks. The program concludes with a Final Project, where trainees design and implement a complete end-to-end data science and AI solution, applying the knowledge and tools learned throughout the course to solve real-world business or research problems.

Alongside the coursework, learners participate in written and practical exams, assignments, and hands-on projects, ensuring strong conceptual understanding and practical application. Strict attendance, performance, and assignment policies maintain academic discipline and professional readiness.

Upon completion, graduates will:

                     1.  Build strong foundations in statistics, Python, SQL, and data visualization.

                     2. Gain expertise in machine learning and deep learning models.

                     3. Apply advanced AI tools and AutoML for real-world problem solving.

                    4. Design, analyze, and implement end-to-end data science projects.

This program prepares learners for careers in data science, artificial intelligence, machine learning engineering, business intelligence, and advanced analytics, making them industry-ready professionals capable of driving data-powered innovation.