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PGDM – Dual Specialization

PGDM – Data Science and Analytics

PGDM – Quantitative Finance



Welcome to the PGDM Data Science & Business Analytics Program at Narayana Business School

Step into the exciting world of data science with our PGDM in Data Science and Business Analytics program at Narayana Business School. Ranked among the Top PGDM Programs in Data Science and Business Analytics, our course equips students with critical skills, fostering a deep understanding of data analytics principles. Our graduates are sought after by top companies for data science and business analytics roles, owing to the industry-relevant curriculum and practical training we provide. Apply now and kick-start your journey in the dynamic field of data science and business analytics. 

PGDM in Data Science & Business Analytics Program offers a deep understanding of core business principles, data analytics techniques, machine learning algorithms, and statistical modelling along with learning data visualization techniques to master predictive analytics, 

Your Learning Path with PGDM – Data Science and Analytics

Experience Hands-On Learning Through Diverse Modules in Our PGDM Data Science & Business Analytics Program

Mathematics for Data Science

Dive into the bedrock mathematical concepts essential for data analysis. Explore vectors, matrices, calculus, probability, and statistics and their applications in optimizing models and predicting outcomes

Database Knowledge

Equip yourself with critical skills to design, query, and manage databases using SQL. Learn how to store, organize, and retrieve data efficiently, enabling you to handle large data volumes and perform complex queries to derive valuable insights.

Programming for Data Science

Learn industry-preferred programming languages like Python and R. Through projects, you will become proficient in writing code, manipulating data, and conducting statistical analysis, enabling effective data analysis and task automation.

Deep Learning

Understand deep learning techniques, focusing on neural networks for solving complex problems. Learn how to use frameworks like TensorFlow, Keras, or PyTorch to develop models that handle intricate data structures like images, text, or time series data.

Machine Learning

Delve into machine learning, learning to use algorithms for predictive modelling and data pattern discovery. Explore supervised and unsupervised learning techniques and gain the ability to uncover valuable data insights. 

ETL Tools

Master the art of data extraction, transformation, and loading (ETL) with tools such as Apache NiFi, Talend, or Informatica. Learn to pull data from various sources, clean and transform it to maintain quality, and load it into a database or data warehouse for analysis.

Big Data

Learn about big data technologies like Hadoop and Spark, and understand the challenges of processing and analyzing large-scale data. Explore techniques to parallelize computations and optimize data processing workflows.