Course Review – Master of Science in Data Science from The University of Arizona
The course adopts a comprehensive strategy to train each candidate to become industry-ready. It provides a range of options to expose the candidates to the realities of the profession. The 25+ industry driven case studies offer a comprehensive hands-on learning opportunity. This helps a candidate to anticipate problems during actual implementation at an organizational level. The curriculum is state-of-the-art to provide a leading edge in terms of soft-skills and in-demand tools in the field of Data Science. The course also gives an insight into the global opportunities which await successful candidates. It is primarily designed to impart maximum information in a critical manner such that each candidate improves their weakness and excels altogether.
Highlights
URL | https://www.upgrad.com/de/data-science-ms-uoa/ |
Mode of Learning | Online |
Duration | 24 Months |
Fee | EUR 9,299 |
Key Features
The Master of Science in Data Science is designed for professionals and provides personalized coaching by Industry experts. The program covers a comprehensive canvas of technologies such as Neural Networks, Machine Learning and Data Warehousing. The curriculum includes the fundamental tools as well as the out-of-the-ordinary ones to provide an edge. It also includes a staggering soft-skills program to polish the profile of the understudies. Additionally, the support for students is provided 24x7 and it includes doubt-clearing sessions. The curriculum also integrates 25+ live projects to solve challenges that a professional would face day-to-day. The course encompasses complex concepts of Data Science along with the development of networking skills.
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Content coverage:
The programme comprises technical and practical modules to enable efficient tackling of challenges associated with Data Science. It provides training in tools like Predictive analytics, Supervised and Unsupervised ML Models, BD processing using Spark and many more.
Mode of Learning: The programme is completely online with 30+ hours of live learning sessions and 1350 overall learning hours including 25+ case studies, and Python programming bootcamp.
Target Audience: The programme provides opportunities for professionals with a bachelor’s degree, MBA graduates and aspiring Managers.
Learning support: The course includes 24x7 learning support, personalized feedback sessions with industry mentors, a doubt clearing forum and Data Science interview preparation.
Price Aid: The programme offers scholarships upon payment upfront. The students can also opt for payment in installments.
College pedigree: The University of Arizona is one of the top 100 Universities according to the U.S. News and World report.
What makes the course unique
The course is well spread out in terms of learning Data as well as complimentary skills like Artificial Intelligence. The curriculum includes modules on python, Neural Networks, Machine Learning and Data analytics with cloud. The course lays out a range of unique services along with an extensive curriculum. It provides access to a profile builder which is AI-powered along with an exclusive portal filled with Job opportunities. The course has approx. 1350 hours of learning which includes assessments to accurately check your industry readiness. Lastly, simultaneously upon training one’s technical know-how, it provides substantial support for interview preparation by refining candidate’s soft skills and hard skills.
Course Offering
The following points cover the major offerings by the certification.
Dedicated career coach which aids the candidates in profile building, support and tracks one’s goals.
Personalized mentoring by experts in the field of Data Science.
Industry sessions in small groups of 12 candidates for providing more personalized suggestions for achieving their aims faster.
Opportunity to take the course along with managing your current position professionally.
Key discussion points
Value Addition: Alumni status from The University of Arizona, learning opportunity from Indian as well global experts, 25+ hands-on case studies, payment scholarships for upfront payment.
Points to debate: The course lacks a fully funded scholarship and is priced on the higher side. However, one must remember that the course offers global exposure and Arizona university holds a high college pedigree.
Career Options
Data Analyst: A Data analyst manages vast amounts of data and designs the entire data management and usage strategy. They play a vital role in translating complex technical data into layman’s terms. They deal with large sets of information and produce conclusions for the betterment of the challenge at hand. They can hold positions in different sectors ranging from IT to management.
Machine Learning Engineer: They are responsible for the creation of AI systems by using their knowledge from Machine Learning concepts. They study, create and analyze AI algorithms from scratch up to the application level. They are an integral part of the Information Technology sector of the major industries.
Data Scientist: Their role revolves around strategizing efficient decisions in specific projects by analyzing the global marketplace. It largely involves expertise in technical aspects associated with Data Science, Artificial Intelligence and Machine Learning. They can seize opportunities in the field of computer science, statistics, or mathematics.
Data Administrator: A Data Administrator is accountable for overseeing the entire database. This database can be business or domain-centric. As a data administrator, the individual is required to look after the development, operation, and maintenance of the database. Ensuring the safety of the database is also one the responsibilities of a data administrator. Regular and timely analysis of the entire database is also required in order to make it more adaptable for change management and scaling.
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