Master of Science in Professional Studies: Data Analytics Rochester Institute of Technology - Dubai Campus, UAE

This program prepares participants for successful careers helping organizations make better decisions through analytics. It prepares participants to work effectively with complex, real-world data and to create value from it. The program is based on a holistic educational experience, where theory and practice are fully interlaced through the continuous support of public and private sectors partners. This program will be the only program in the UAE ensuring the graduates are highly sought-after Data Analysts within the industry.

The Data Analytics program is designed to be suitable for working individuals. The program gives participants the ability to help organizations increase the efficiency of their operations and gather and interpret data more efficiently. While pursuing their master's, students will be able to apply their learnings in the program at their workplace, enhancing their career prospects. The program is carefully designed to cater for all levels of data analytics: from creating a strategy and vision of the organization towards big data, managing to secure the data, building appropriate infrastructure for data analytics, data analysis and presentation for intelligent decision making.

How data collection and analysis is used for emerging technologies including artificial intelligence, virtual realities, robotics, machine learning and other fields is included in the program. The program is jointly designed with public departments such as Smart Dubai as well as international leading organizations in the field.

Program Goals

• Provide a comprehensive understanding of the tools needed to sort, mine, visualize and analyze data.

• Enable students with the ability to apply these tools to a wide variety of data to deliver a high-quality body of research.

Program Learning Outcomes

• Evaluate business problems for the purposes of analytical investigation for decision-making.
• Construct comprehensive analytical models.
• Compare data collection and preparation techniques in the process of model building for data analysis.
• Apply data analysis models and methods to large scale data and for emerging technologies.
• Identify and analyze risks related to data analytics.
• Demonstrate competencies in innovation, entrepreneurship and sustainability.
• Execute a data analytics project that involves substantial research with findings and recommendations.