Data Science University of California, Riverside

Overview

The University of California, Riverside (UCR) is recognised for its excellence in education and is ranked #17 by U.S. News & World Report among the Best Online Information Technology programmes. UCR's commitment to social mobility is evident, consistently placing it among the top three institutions in the nation for this measure. The university's strong partnerships and innovative faculty ensure that students receive a high-quality education that is both relevant and rigorous. The online Master of Science in Engineering with a concentration in Data Science prepares students to navigate the complexities of big data. With an emphasis on practical skills, the programme allows students to develop techniques for analysing and visualising data, making them invaluable assets in various industries. The flexibility of this online format enables students to balance their studies with professional commitments, making it an ideal choice for working individuals.

The tuition fee for the online Master of Science in Engineering in Data Science is USD 963 per credit for both domestic and international students. Given the total requirement of 32 credits, the overall tuition amounts to approximately USD 34,668. Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum for the online Master of Science in Engineering programme comprises core engineering courses and specialised Data Science modules, structured as follows:

• Core Engineering Courses (16 credits):
  • Engineering in the Global Environment (4 credits)
  • Technology Innovation and Strategy for Engineers (4 credits)
  • Introduction to Systems Engineering (4 credits)
  • Principles of Engineering Management (4 credits)
• Data Science Specialisation (16 credits):
  • Foundations of Applied Machine Learning (4 credits)
  • Application of Visualisation in Data Science (4 credits)
  • Data Mining Techniques (4 credits)
  • Advanced Computer Vision (4 credits)
  • Statistical Computing (4 credits)
  • Statistical Mining Methods (4 credits)
  • Machine Learning (4 credits)
  • Information Retrieval & Web Search (4 credits)
  • Data Visualisation & Big Data Tools (4 credits)

This comprehensive structure ensures that students gain both technical expertise and leadership skills necessary for success in the data science field.

Graduates of the Master of Science in Engineering in Data Science can pursue a variety of roles across multiple sectors. Some of the potential career paths include: - **Chief Data Officer:** Responsible for establishing policies regarding data usage and overseeing teams of analysts and programmers. - **E-commerce Data Specialist:** Analyses consumer data to enhance the shopping experience and inform product offerings. - **Social Media Data Analyst:** Engages with data from social media platforms to help brands refine their advertising strategies and improve customer service. The demand for data professionals is growing across industries such as healthcare, finance, telecommunications, and retail, making this degree a valuable asset for aspiring data scientists.