Provides instruction and insights, on a foundational basis, into Data Science, including mathematics, programming, data management, and computer systems. It also develops the skills to apply theory, skills, and toolkits to real-world applications in different industries. The course provides extensive hands-on experience.

Provides instruction and insights, on a foundational basis, into Data Science, including mathematics, programming, data management, and computer systems. It also develops the skills to apply theory, skills, and toolkits to real-world applications in different industries. The course provides extensive hands-on experience.

Focuses on using advanced data engineering and machine learning techniques like APIs, ETL, and Deep Learning with an emphasis on application development and implementation. Students will also dive into specific domains in the Industry verticals like FinTech, agriculture, manufacturing, and others.

Focuses on using advanced data engineering and machine learning techniques like APIs, ETL, and Deep Learning with an emphasis on application development and implementation. Students will also dive into specific domains in the Industry verticals like FinTech, agriculture, manufacturing, and others.

Focuses on cloud computing, platform technologies, and integration of distributed data sources. New technologies like reinforcement learning are introduced in this course. Project work will be focused on innovation topics provided by companies from FinTech, agriculture, manufacturing, and others.

Focuses on cloud computing, platform technologies, and integration of distributed data sources. New technologies like reinforcement learning are introduced in this course. Project work will be focused on innovation topics provided by companies from FinTech, agriculture, manufacturing, and others.

Provides instruction and insights into data, theory, and application of machine learning algorithms and skills to apply these algorithms to real world datasets and applications in Engineering. The course also provides hands-on experience through project work.

Provides instruction and insights into data, theory, and application of machine learning algorithms and skills to apply these algorithms to real-world datasets and applications in Engineering. The course also provides hands-on experience through project work.

Exposes students to and trains them for the digitally transforming industrial world. This includes application of digital technologies ranging from cloud computing to AI techniques to predictive analytics. The theory and practical aspects of Industrial Internet of Things will also be covered.

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.

Faculty-supervised independent or collaborative inquiry into fundamental and applied problems within a discipline that requires students to gather, analyze, synthesize, and interpret data and to present results in writing and other relevant communication formats.