Program Mission
Big data and analytics drive strategic decision making and innovation whether it is in relation to
engineering, finance, healthcare or other professional areas. There is a growing demand for data
scientists who can apply powerful tools and advanced statistical modeling techniques to make
discoveries about business problems, processes and platforms.
Program Education Objectives
The key objectives of the MS Data Science program include the following.
1. To provide an in depth understanding of the theory and concepts of data analytics and
modeling.
2. To prepare students for graduate level training in the core areas of data analysis and business
analytics.
3. To enable learning of cutting edge technologies and tools.
4. To enable students to apply their knowledge and analytical skills to create effective and novel
solutions to various computing problems.
5. To develop effective oral and written communication skills.
6. To foster leadership and collaboration skills to lead data driven projects within cross
functional teams and bridge the gap between technical and business oriented roles
Program Learning Outcomes
Students graduating from the MS (Data Science) program are expected to:
7. To apply advanced statistical techniques, data mining, and predictive modeling to
extract actionable insights from data.
8. Equip students with cutting edge skills in data science technologies, such as machine
learning, artificial intelligence, and big data processing frameworks.
9. Acquaintance with the latest computing tools and technologies.
10. Enable students to align data science solutions with business strategy, understanding how to
use data to solve real world business problems.
11. Ability to pursue continuous professional development.
12. Ability to work on practical and research-based problems collaboratively as well as
independently.

ROADMAP – MS Data Science