Program Overview

The Master in Data Science is a comprehensive postgraduate program that equips you with the knowledge and tools to thrive in the data-driven economy. From mastering statistical modeling to exploring artificial intelligence applications, you’ll develop expertise to solve complex business challenges.

Key Learning Outcomes

By the end of this program, you will be able to:

• Apply data analysis and visualization techniques to real-world datasets.

• Build predictive models using machine learning algorithms.

• Design scalable data pipelines for big data processing.

• Develop AI-driven solutions for business and research problems.

• Translate complex data insights into actionable strategies.

Course Curriculum

Semester 1

• Introduction to Data Science

• Statistics & Probability

• Python & R for Data Science

• Database Management Systems

Semester 2

• Machine Learning Fundamentals

• Data Visualization & Storytelling

• Big Data Technologies (Hadoop, Spark)

• Cloud Computing for Data Science

Semester 3

• Deep Learning & Neural Networks

• Natural Language Processing (NLP)

• Data Ethics & Governance

• Research Methodologies

Semester 4

• Capstone Project / Internship

• Electives (AI in Healthcare, FinTech, Marketing Analytics, etc.)

Career Opportunities

Graduates of this program can pursue roles such as:

• Data Scientist

• Machine Learning Engineer

• Big Data Analyst

• AI Specialist

• Business Intelligence Analyst

• Research Scientist

Admission Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field.

• Strong analytical and programming skills preferred.

• Entrance exam + personal interview (if applicable).