Data Science and Analytics Claremont Graduate University (CGU)

Overview

The M.Sc. in Data Science and Analytics at Claremont Graduate University (CGU) is a cutting-edge programme tailored to meet the demands of a rapidly evolving technological landscape. This course delves into the utilisation of vast data sets to improve human performance and address pressing business and societal challenges. With the surge of information generated by the Internet, social media, and mobile technologies, the significance of big data has never been more pronounced. However, the full extent of its potential remains largely untapped, making this field ripe for exploration and innovation.

This technically oriented and industry-focused programme prepares students with a robust set of analytical and managerial skills, positioning them as leaders in the data science sector. Participants will gain proficiency in data mining, specialised programming, and other computational techniques, learning to apply these skills to real-world problems under the guidance of distinguished faculty members who are recognised experts in Information Systems and Technology (IS&T).

Why Data Science and Analytics at Claremont Graduate University?

CGU stands out for its commitment to providing a comprehensive education that combines theoretical knowledge with practical application. The university's strong partnerships with industry leaders like Esri and Microsoft enhance the learning experience, offering students access to cutting-edge technologies and resources. Facilities such as the Data Science Lab and the Intelligent Systems Lab provide students with hands-on opportunities to engage in research and development projects. Furthermore, CGU's STEM designation allows international students to benefit from extended work authorisation in the U.S., facilitating valuable work experience post-graduation.

The tuition fee for the M.Sc. in Data Science and Analytics is set at USD 2,020 per credit for both domestic and international students. As the programme requires a total of 36 units, the overall tuition cost can vary based on the number of credits taken. Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum for the M.Sc. in Data Science and Analytics integrates technology with management expertise, structured to provide hands-on experience through collaborative, industry-focused research. The programme comprises:

• Core Courses: 12 units
• Concentration 1 Courses: 12 units
• Concentration 2 Courses or Electives: 12 units
• Total Required Units: 36

Students will engage in practicum courses that involve real-world projects, allowing them to apply their theoretical knowledge in practical settings, particularly in data science and analytics.

Graduates of the M.Sc. in Data Science and Analytics programme find themselves well-equipped for various roles across multiple industries. Alumni have successfully secured positions at prestigious organisations such as IBM, Microsoft, and Wells Fargo, among others. Graduates typically pursue careers in data analysis, business intelligence, and technology management, contributing significantly to sectors like finance, healthcare, and public policy.