The University of Arizona (UAZ), in collaboration with Great Learning(GL), has introduced a new, fully online MS in Information Science: Machine Learning. This 21-month programme is designed for early career, mid and senior-level professionals by leading experts at the University of Arizona and practicing industry professionals.
The programme will equip professionals with the knowledge to design information-driven solutions for business problems and develop effective management frameworks for the future. With live online classes and recorded lectures, the programme includes 11 hands-on projects and dedicated mentorship sessions to enhance the learning experience of learners.
The University of Arizona is ranked in the top 50 US public universities by US News & World Report 2022 and is known for advancing the frontiers of interdisciplinary scholarship and entrepreneurial partnerships. The university’s partnership with Great Learning, a global edtech company for professional training and higher education, and part of the BYJU group, provides the opportunity for more students to gain advanced qualifications through cutting-edge online programme delivery.
According to the US Bureau of Labor Statistics, employment opportunities for information research and computer scientists are projected to grow by 22 per cent by 2030. Information Science is one of the fastest-growing domains in the tech world today, especially that the total amount of digital data created worldwide will rise to 163 zettabytes by 2025 as per the IDC.
It will become imperative for businesses to hire professionals with the know-how of managing and analyzing data with the latest technologies. Learners will gain the specialized skills needed to solve real-world information management challenges and graduate with the qualifications needed for in-demand roles, including information architect, database administrator, data scientist/engineer, digital artists, software programmer/engineer, web programmer etc.
Learners will also be given access to GL Excelerate's extensive pool of 4700+ industry experts and dedicated career assistance in the form of a curated jobs portal, enabling them to apply to relevant positions. Great Learning works with more than 7800 companies to offer unparalleled placement support to its learners. Some of the marquee companies include Microsoft, Google, Amazon, Dell, IBM, Flipkart, Infosys, Intel, Deloitte, etc.
"Arizona's iSchool is eager to globalize information science and machine learning training with UAZ's College of Social and Behavioral Sciences as well as the highly-experienced UAZ Global team. Here at the University of Arizona we've chosen to work collaboratively with Great Learning because they are among the most trusted and respected educational platforms in the world. We believe this kind of global reach can make a real difference across communities and societies by providing students opportunities to boost their careers as well as to be influential in their work and where they live. I look forward to meeting our incoming cohort of students," said Catherine F Brooks, professor and director of School of Information, University of Arizona.
Sharing his thoughts about the programme, Arjun Nair, co-founder, Great Learning said, "Businesses today work with tonnes of data. No industry today is untouched by the power of data. This is a necessary skill set for every professional and business leader who is looking to leverage data to help serve their consumers better. This programme with a premier institute like the University of Arizona will empower professionals around the globe to power ahead in their careers through high-quality education."
With a focus to enable professionals with the skill to organize, store and represent data, the comprehensive and carefully designed programme covers a range of information science skills - starting from the fundamentals and progressing to more complex, hands-on applications through capstone projects. Upon successful completion of the programme, learners will receive an MS in Information Science: Machine Learning degree from the University of Arizona.