The University of Arizona

One of the best programs offered by The University of Arizona in collaboration with Great Learning is the MS in Information Science: Machine Learning Program. This program aims to equip learners with the tools they need to improve information accessibility. Throughout the course of the program, they will be exposed to various real-world problems and taught how to use Information Management techniques to solve them. 

Learners can gain both technological and social skills by taking advantage of its comprehensive, interdisciplinary curriculum, which is tailored to the needs of students from a range of industries. They can become future-ready information professionals who can manage and interpret vast amounts of data with high accuracy.

The MS in Information Science course by The University of Arizona and Great Learning is a highly acclaimed program. It is designed to train learners to become knowledgeable and experienced professionals in the field of Information Science using several Machine Learning techniques. The combination of Great Learning's industry-leading career support and the University of Arizona's world-class academic resources ensures that learners get the best education and insights.

The highlights of this program include the following:

• Learners can choose between a fully online mode of learning or a hybrid one where they learn online in the first year and study on-campus in the US in the second year.
   

• No GRE/TOEFL score is required to get admission to the program.
   

• On choosing the hybrid mode:

  • Learners are eligible for up to 3 years STEM OPT Visa in the US

  • They can save over INR 55 Lakhs as compared to a full-time US master’s degree

  • Learn and interact in person with The University of Arizona faculty on-campus
     

• Earn the University of Arizona alumni status and access to a host of benefits that come with it. 
   

• It is taught in a blended format with live, interactive online classes and recorded lectures from The University of Arizona faculty.
   

• The program features 11 hands-on projects and case studies, along with a capstone project. 
   

• It also provides dedicated program support from the experts of Great Learning and conducts mentorship sessions to enhance the learning experience.

In terms of price, the course is highly competitive and offers excellent value for money, and the fee is very reasonable compared to other similar programs. The program also includes financial aid options, so if you have the necessary qualifications and are looking for an affordable alternative to a traditional degree, this course could be an excellent choice.

Overall, the course is worth its price if you are serious about entering the Information Management field or making a career transition. It provides you with a comprehensive understanding of the technology and techniques required to succeed in the area and offers an opportunity for the practical application of knowledge. If you are looking for an effective, cost-efficient form of education and training, the MS in Information Science course is unquestionably worth its price.

Here is the application process to apply for the MS in Information Science: Machine Learning program from The University of Arizona:

• Step-1: Application Form

Complete filling out a quick and simple online application form.

• Step-2: Pre-screening

In order to verify your eligibility for the program, our team will get in touch with you by phone.

• Step-3: Application Assessment

The admissions staff will review your application and respond as soon as possible.

• Step-4: Join The Program

If chosen, you will get a letter of acceptance with details on how to pay and enrol in the program.

Note: Great Learning provides end-to-end support in applying to The University of Arizona and also in the US visa application process during the first year (for hybrid students).

Yes, the program would be taught by renowned faculty members from The University of Arizona, as well as other practising industry professionals with immense experience in the Information Science field. Additionally, learners opting for the hybrid mode of the program can interact directly with the faculty at The University of Arizona in their second year of study.

Yes, through the MS in Information Science: Machine Learning program, learners can join the global alumni network of The University of Arizona and gain access to the extensive career and alumni support to advance their careers.

Yes. Candidates will be awarded the degree that carries the name of The University of Arizona. There will be no mention of an online program, or that Great Learning is this program's academic partner.

The MS in Information Science: Machine Learning program offered by The University of Arizona is a 21-month program.

Yes, an online degree from The University of Arizona is as good as an offline degree. The University of Arizona maintains the same high standards for all its degree programs, regardless of the delivery method.

Their online programs are created and monitored by the same college faculty who teach their traditional campus-based programs. Online students benefit from the same quality of instruction and support as on-campus students, and The University of Arizona's online degree programs are accredited by the same agencies that accredit offline programs. The programs and degree completion requirements for online and offline degrees are the same.

For learners looking to gain an on-campus experience, we offer a hybrid variant of the MS in Information Science: Machine Learning program, where you learn online in the first year and learn on-campus in the second year. 

Here are the benefits of choosing this mode:

• Experience the world-class University of Arizona campus in Tucson, Arizona, in the second year

• Be a part of 600+ student clubs and organizations, from niche hobbies to extracurriculars to career-oriented and professional groups 

• Complete access to The University of Arizona Libraries

• Access to technical support 24 hours a day, 7 days a week

• All international students receive support from The International Student Services office

The MS in Information Science: Machine Learning program offered by The University of Arizona is offered in two variants - fully online and a hybrid mode of learning (start online in India, complete on-campus in the US). Below are the fee details:

Online: USD 10,500

Hybrid: USD 34,176* (*Save INR 55+ lakhs as compared to full-time US master's)

Scholarships and financing options are available. Reach out to your Program Advisor for more details.

The University of Arizona programs offer several scholarships to students who fulfil the criteria. Prospective students should contact their Program Advisor for more information about available scholarship opportunities.

Yes, you will receive career support from both, The University of Arizona and Great Learning. 

Through the MS in Information Science: Machine Learning program, you can join the global alumni network of The University of Arizona and access the extensive career support:

• Bear Down Network - Directory of The University of Arizona Alumni with features such as a Job Board, Mentorship Opportunities, etc.

• Lifelab - Platform to help learners with Resume-building, Cover letters, LinkedIn Profiles, and much more.

• Handshake - The University of Arizona's official job board and campus interview system for hiring opportunities, career preparation resources, and peer networks.

Candidates will participate in GL eXcelerate, a career support program explicitly created for Great Learning students. Great Learning aims to equip its students with all the services they need to succeed in the professional workplace.

Here are the top reasons to enrol in The University of Arizona courses for a master’s degree:

1. A world leader in research and innovation, The University of Arizona is a Top 20 Public Research Institution, according to the National Science Foundation, with annual research expenditures of a whopping $770 million.
    

2. The university has participated in every planetary mission with NASA and is recognized for pushing the boundaries of interdisciplinary scholarship and entrepreneurial partnerships.
    

3. The university is highly ranked and offers excellent academic programs. It has a renowned faculty comprising some of the foremost thinkers and practitioners in their fields. The university’s curriculum is designed to provide a holistic education to prepare learners for the industries of the future.