| Overview

Empower your future with our Master of Data Science (MDS) program! In today's data-driven world, the demand for skilled data scientists is soaring across academia, business, and research sectors. Our two-year postgraduate offering blends computer science and statistics to cultivate expertise in data-driven decision-making. Dive deep into the theory and practical application of data science, gaining hands-on experience with cutting-edge tools and techniques. Benefit from guest lectures, seminars, projects, and internships that provide exposure to research models and industry-standard applications. Learn from industry experts and seasoned professionals who bring real-world insights to the classroom. Whether you aspire to a career in academia, industry, or research, our MDS program prepares you for success in a variety of roles. Join us and unlock the potential of data science for your future career success!

| Why choose this course?

Curriculum blends theory, hands-on experience, and research focus.
Gain expertise in data science tools for real-world problem-solving.
Extensive electives, projects, and industry exposure enhance employability.
MSc Data Science offers rigorous problem-solving skills.
Fosters ethical practices, teamwork, and continuous learning mindset.
Develops the ability to function effectively both individually and in diverse teams.

| What you will learn?

This program is ideal for students who are interested in using their analytical and logical skills to solve complex real-world problems. ?
?Continuous innovation in big data technologies, machine learning, AI, and predictive analytics, there is a high demand for skilled professionals in the field of data science. ?
?Provides student with both theoretical and practical training and help them develop technical skills that are in high demand in the data-driven job market.
Hone expertise in problem analysis, design, and principles of data science.
Attain mastery in programming tools tailored for solving domain-specific challenges.
Utilize data science theories to tackle pressing societal and environmental issues.
Embrace ethical standards, nurturing a culture of research and integrity.
Cultivate both individual and collaborative skills in varied, interdisciplinary settings.
Embrace a culture of ongoing learning, evolving alongside dynamic data paradigms.

| Career prospects

Excel in problem analysis, design, and data science application.
Master programming tools for effective problem-solving in specific domains.
Address societal and environmental concerns using data science theories.
Adhere to professional ethics, fostering a research culture with integrity.
Develop teamwork skills for multidisciplinary environments.
Continuous reflective learning in evolving data paradigms for real-world problem-solving.