Listed below are the global rankings for the University of Arizona:

1. US News & World Report - The University of Arizona is ranked #105 out of 443 National Universities.

2. QS - World University Ranking 268

3. THE (Times Higher Education) - University Ranking 150

4. US News & World Report - Global Universities 99

The Master’s in Information Science: Machine Learning is a 2-year hybrid program where students pursue their first year online and second year on-campus at the University of Arizona, USA. The program aims to empower them to leverage the opportunities created by the information age. It offers a comprehensive overview of the Data ecosystem, covering everything from the foundations of information management to its sophisticated applications in Machine Learning.

The University of Arizona will provide career mentoring support to students in this program that helps students prepare for a successful Information Science and Machine Learning career.

Upon successful completion of this MS Degree in the USA, students will receive an MS Degree in Information Science and Machine Learning from the University of Arizona and join the global alumni network of the University of Arizona, gaining access to extensive career and alumni support to advance in their careers.

Yes. If any remote positions are available for RA/TA, hybrid students can explore them from the first year itself. They can also explore such on-campus positions in their final online semester, letting the faculty know of their arrival date on campus.

 About 25 students in a class on the Arizona campus.

Here are the key highlights of this program:

• Cost-effectiveness: The hybrid format can be more cost-effective than traditional full-time programs, as students can save on housing, transportation, and other on-campus costs while still benefiting from in-person interactions and experiences.

• Flexibility: The program is taught in a blended format with live online sessions and in-person classes, and it includes hands-on projects and mentorship sessions to enhance the learning experience. It is designed to accommodate the schedules of working professionals.

• Committed Student Support: Learners are provided continuous support from several industry experts who assist them at every stage of their learning journey.

• Career Assistance: After successfully completing this course, The University of Arizona provides excellent placement opportunities. Every student receives dedicated career assistance to help them find their desired jobs.

• Learn the most in-demand tools: Upon taking up this program, learners gain an understanding of the most in-demand tools, such as Python, Keras, TensorFlow, Microsoft Azure, HuggingFace, and more.

• Ease of Access: GRE/GMAT/IELTS scores are not required to study for this master's degree in the USA. Furthermore, there are no application fee charges, and the process is free of cost.

• OPT: As you would be studying 2nd year on-campus, you become eligible for a 3-year OPT in the USA to explore jobs, internships, and a rewarding career. The program lets you settle down with the curriculum first, and you handle the visa and the movement to the US process post that.

• The UArizona Advantage: Through this program, students can join the global alumni network of the University of Arizona and access the extensive career and alumni support they offer to advance their careers.

There are a ton of excellent benefits, which are as follows:

• University Ranking

The University of Arizona, a world-renowned public university, is ranked among the world’s best universities. Here are its rankings:

• US News & World Report - The University of Arizona is ranked #105 out of 443 National Universities

• QS - World University Ranking 268

• THE (Times Higher Education) - University Ranking 150

• US News & World Report - Global Universities 99 

• Comprehensive Curriculum

Leading experts at the University of Arizona and industry professionals have curated the curriculum. It is specifically designed to cover various Artificial Intelligence and Machine Learning skills - starting from the fundamentals and advancing to more complex, hands-on applications. Students master in-demand languages and tools like Python, MS Azure, TensorFlow, Keras, HuggingFace, and many more.

• World-Class Faculty

Upon taking up the Master’s Program, students will learn from the world-renowned faculty members of the University of Arizona through Live Interactive Sessions. 

• Hands-on Learning

Learners implement 11 hands-on projects and case studies to apply Machine Learning techniques to solve real-world business problems and a capstone project incorporating all the tools and techniques acquired throughout the program.

• Dedicated Career Assistance

The University of Arizona will provide dedicated career support to students in this program via various job portals and counselling services, helping students prepare for a successful Information Science and Machine Learning career.

• Master's Degree from the University of Arizona

Upon successful completion of the Master’s in Information Science: Machine Learning Program, students will receive an MS Degree from the University of Arizona that adds value to their resumes.

The curriculum is curated by leading experts at the University of Arizona and industry professionals. It is specifically designed to cover various Artificial Intelligence and Machine Learning skills - starting from the fundamentals and advancing to more complex, hands-on applications. Throughout this program, students will learn Data Mining and Discovery, Data Visualization, Data Warehousing and Analytics in the Cloud, Applied Natural language Processing, Neural Networks, Artificial Intelligence, and Machine Learning.

Students will work on 11 hands-on projects and case studies to apply Machine Learning techniques to solve real-world business problems and a capstone project incorporating all the tools and techniques acquired throughout the program.

After completing this MS Degree in Information Science and Machine Learning, students will be able to:

• Examine and report on information generation and processing to gain a broader understanding of data.

• Assess and improve information management systems to identify best practices, gaps, and opportunities for improvement.

• Utilize Machine Learning techniques to address current business challenges.

• Work on the entire information management pipeline.

• Develop cutting-edge strategies to gain insightful information for growth to become the ideal ML leader.

Yes. As this program is offered in a hybrid format, students from around the world can take up this MS Program in Information Science and Machine Learning.

For the Hybrid program, the duration on campus would be 2 semesters (Fall and Spring) or 3 semesters (Spring, Summer, and Fall), depending on when they start. The online program component will depend on how soon the student can finish the program. Students pursuing OPT will need to be enrolled in 1 fall and 1 spring semester.

Programming language proficiency is not required for this Master’s Degree in Information Science and Machine Learning program. Great Learning provides extensive pre-course materials and in-course support to bridge the gap.

The student will have the opportunity to reappear for the exam with the next cohort.

Students who fail an exam need to have a grade posted for the course they are enrolled in. They can retake a class with the next cohort. But they must maintain a 3.0 GPA or be placed on probation for one semester. The entire graduate probation policy is here: https://grad.arizona.edu/policies/academic-policies/academic-probation 

It is the same as the online program. Exam structures are defined by the respective faculty at the start of the year. Students are generally assessed via quizzes, assignments, and projects.

Students wishing to come to the main campus should begin the process six (6) months before they want to arrive in the US to allow enough time for the I-20/visa application process.

By combining the best aspects of in-person and online learning, the hybrid format offers an enriching and flexible educational experience. Here are some of the key advantages:

• Cost-effectiveness: The hybrid format can be more cost-effective than traditional full-time programs, as students can save on housing, transportation, and other on-campus costs while still benefiting from in-person interactions and experiences.

• Flexibility: The hybrid learning format allows students to balance their personal, professional, and academic commitments more effectively. With access to synchronous and asynchronous online sessions, students can choose when and where they want to engage with the course materials, making it easier to fit their studies around their daily routines.

• Make the most of your time: While studying the first year online, you can choose to work full time as the classes are mostly scheduled over weekends or after usual working hours. This helps you implement your learnings in the industry as you go and also gain salary and experience to assist you further settling down in the US faster.

• Personalized learning experience: The hybrid model accommodates various learning styles and preferences by offering a combination of in-person and online resources. Students can utilize online video lectures, discussion boards, and interactive exercises at their own pace while also benefiting from face-to-face interactions with the faculty and peers during on-campus sessions.

• Enhanced collaboration: It fosters collaboration and networking opportunities among students from diverse backgrounds. By engaging in online and in-person discussions, group projects, and workshops, students can share ideas and perspectives, forge professional connections, and enhance their understanding of the course material.

• Access to a global community: It enables students to interact with a broader network of students, faculties, and industry professionals worldwide. This diversity in perspectives and experiences enriches the learning environment and helps students develop a more comprehensive understanding of global trends and challenges in machine learning.

• OPT: As you would be studying 2nd year on-campus, you become eligible for a 3-year OPT in the USA to explore jobs, internships, and a rewarding career. The program lets you settle down with the curriculum first, and you handle the visa and the movement to the US process post that.

• Immediate application of skills: The MS in Information Science: Machine Learning program emphasizes hands-on learning through practical assignments and real-world case studies. The hybrid format allows students to apply their newly-acquired knowledge and skills in their current professional settings, providing valuable experience and enhancing their career prospects.

• Access to top-notch resources: Students in the hybrid program have access to both the University of Arizona and Great Learning's extensive resources, including cutting-edge research, industry partnerships, and experienced faculty. These resources enable students to stay abreast of the latest advancements in Machine Learning and Information Science.

Yes. It is an excellent choice to study MS in the USA. Here are a few reasons:

• Academic Excellence: The USA is home to many prestigious universities with excellent research facilities, innovative teaching methods, and diverse course offerings. If the university you're interested in is renowned for your chosen field of study, it might be a good choice.

• Career Opportunities: The USA is known for its vast job market, particularly in technology, engineering, and finance. Graduates from US institutions often find good job prospects both within the country and internationally.

• Networking: Studying Master’s in the USA can offer a vast network of alumni, faculty, and professionals in various industries, which can be beneficial for career growth and opportunities.

• Cultural Experience: Studying Master’s in the USA for international students provides them with a cultural experience that can enhance personal growth and understanding of different perspectives.

MS in Information Science: Machine Learning is being offered in two modes for you to choose from:

1. Completely online format: Study the entire program online with live and recorded sessions from the University of Arizona’s faculty and industry experts.
    

2. Hybrid format: This format helps you gain the best of both worlds while saving an incredible amount of money. You can start with your first year online and move to the US to study your second year on campus at the University of Arizona, which also makes you eligible for up to 3 years of OPT in the US.

They are conducted through live virtual sessions in the first year and in-person classes in the second year.

While participating in the sessions is not mandatory, attending them is highly recommended. The sessions are recorded in the LMS (Learning Management System) so that students who miss a session or want to review it later can always access them later.

A live session in this program typically lasts 2.5 to 3 hours a month.

Every course will have at least four live sessions, while the exact number of sessions will depend on each faculty member

The program follows a cohort-based approach. As a result, students must complete these courses in the designated order. However, in the second year (on campus), the learner can take more credits each semester to finish the program relatively faster.

At the start of each course, each faculty member will decide on the grading policy for their specific subjects and share the evaluation standards with the students. We have observed that students are often assessed based on projects, assignments, and quizzes for various courses in the program.

This is a master's degree program that will be rigorous in nature. Although the time needed will vary depending on prior knowledge, students should set aside 15 to 18 hours per week.

WES accreditation is only required for courses offered by universities outside the United States to demonstrate that they are equivalent to those offered by an accredited US university.

For instance, WES might examine a course offered by an engineering college in India that awards points out of 100 and translate the results into an equivalent score for a program of a similar nature in the US using a 4.0 GPA scale. 

As the Master’s in Information Science and Machine Learning Program is from the University of Arizona, a US-accredited university, there is no question of having WES review and recognize the course for credits.

It is the same as the online program. There are two annual intakes, i.e., Spring (Jan) and Fall (August). The students can come to campus only in the subsequent Spring or Fall semesters, NOT the Summer semester.

Yes. Students have a maximum of 6 years to complete their Masters. Students are allowed to take up to one year of break by applying for 'Leave of Absence' in between the program. Mostly, the university approves petition form requests like these. If the student takes a break between 1st year and 2nd year, they might have to apply for a VISA accordingly so that the dates mentioned on the VISA are according to the plan.

Yes, the Grad College and International Student Services will assist in helping students find accommodation. International Student Services provides referrals to the Office of Residence Life and Off-Campus Housing for assistance with finding accommodations.

Great Learning will help students compile all the documents they must submit to school for I-20. The University of Arizona will issue the I-20 and supporting documents around the admission process, including letters of recommendation and any aid. Students have to go to the Embassy and then get a visa.

 Application Process:

• Fill out the application form (https://apply.grad.arizona.edu/users/login)

• Submit the required documents.<transcripts, etc.>

• The university takes 2-3 weeks for the application review and results.

If selected, an offer letter will be released.

The student can choose to pursue the program online. OR students can reapply for the visa and come in subsequent semesters/years after taking a Leave of Absence.

Students can apply for I20 right after the first semester. But she will speak to ISS to explore if one can start the I20 process even earlier, i.e., right after getting the offer letter from the university.

Here is the process:

• The student informs Great Learning (GL).

• GL will inform I-School and submit the necessary documents on behalf of the student.

• I-School informs ISS.

• ISS will issue I-120 to the student.

• Students get the visa from the embassy. 

It is recommended that students begin the process of applying for an I-20 and subsequent visa appointment 6 months in advance of the target date of coming to the US.  Students will work with the University of Arizona’s International Student Center to apply for an I-20, which takes an average of 10 business days to process. After the I-20 is issued, students can apply at their local consulate for a visa appointment. 

Yes. Students are eligible for up to 3 years of Post-Study Work/STEM OPT Visa in the United States.

Candidates must submit their bachelor’s degree certificate, academic transcripts, resume, Statement of Purpose (SOP), and a Letter of Recommendation (LOR).

The program advisor shares the SOP guidelines with the learners, and the format is around their background and motivations, long-term career goals, etc. The admissions staff primarily uses the SOP to learn more about a candidate’s background.

Some of the pointers a candidate could address include the following:

• What inspired you to choose this MS in Information Science: Machine Learning Program?

• How will this master's degree help you achieve your professional goals?

• What strengths will enable you to make the most of this master's degree to advance your career?

We recommend that candidates submit the application form as quickly as possible to avoid missing the deadline or scrambling at the last minute. Some stages of the application process will take time, and the admissions team will carefully review each application.

Candidates who apply early are more likely to be accepted into the cohort of their choice because there are only a certain number of seats available for each cohort. Some early applications are also shortlisted for scholarships. Please check with your Program Advisor for more details.

Students can get in touch with their Program Advisors for guidance on completing their application, or they can share their documents (transcripts, SOP, degree certificate, CV) via email (msml.hybrid@greatlearning.in).

No, you do not need to apply for a transcript evaluation to apply for the program.

No, the application fee is waived off for students applying for the Hybrid program in collaboration with Great Learning.

A precise, complete application that includes all required paperwork will be examined and responded to in two weeks.

This degree program prepares for job roles like Information Architect, Data Engineer, Data Analyst, Database administrator, Data Scientist, AI/ML engineer, Digital Artist, Software Engineer, and a wide variety of leadership roles in various kinds of companies.

Tesla, NASA, Boeing, Enterprise Rent-a-car, GEICO, Altria, American Express, Goldman Sachs, Vanguard, Charles Schwab, and many more-  https://career.arizona.edu/

No. The mode of learning will not be mentioned in the degree, and the degree certificate and transcripts will be the same as those offered for the on-campus program.

Through this Master's in Machine Learning and Information Science Program, students can join the global alumni network of the University of Arizona and access the extensive career and alumni support they offer to advance their careers.

• Bear Down Network - The University of Arizona alumni directory offers features like access to the Job Board, Mentorship Opportunities, and more.

• Wildcat Mentor Society - The Transformative Program to establish solid professional connections and receive guidance from seasoned mentors.

• Graduate Center - Resource for graduate and postdoctoral students to improve their academic and professional success. Graduate Center offers career advising, support programs, workshops, networking groups, and more to current graduate students (https://gradcenter.arizona.edu/career-support).

• Lifelab - Platform to help students with resume-building, cover letters, LinkedIn profiles, and many more.

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

• Office of Student Engagement & Career Development - It offers general career support, job fairs, workshops, and resources to all University of Arizona Students (https://career.arizona.edu/).

Students can also access a university ID, free software licenses, offline resources, and various workshops. For career development, they can also submit their documentation (CVs, Resumes, etc.) for review online and receive feedback from the counsellor within 24-48 hours.

The program pursued in a hybrid format makes you eligible for up to 3 years of STEM OPT in the USA. (OPT 12 months and extension of 24 months after the first year for STEM courses).  The OPT 3-year extension applies to companies approved by eVerify.

Link: https://international.arizona.edu/international-students/opt

Tuition for a specific term is due on the first day of the semester. Before the semester starts, students may enroll in a Payment Plan that splits their fees into three equal sums. You can learn more about Payment Plans and on-campus tuition due dates here: Tuition Payment Plan | Bursar (arizona.edu)

For scholarships, students can apply here:

https://financialaid.arizona.edu/types-of-aid/scholarships

RA/TA positions: Students can apply for these positions in iSchool as well as other departments. They could use the Handshake portal for this. Students can also go to employment and career services. The ISS can help students look for these on-campus jobs.

Yes. International students can work on campus for the University of Arizona for up to 20 hours per week. On-campus employment does not require authorization from International Student Services. 

https://international.arizona.edu/international-students/on-campus-employment 

Yes. Great Learning is associated with Gyandhan (One of the largest marketplaces for education loans). Our counsellors will help you get in touch with the Gyandhan team and explore the best education loan suiting your needs. Please note that this service is available for Indian students only.

The online format of MS in IS: ML costs around USD 10,500. The tuition fee for the hybrid structure (Start online, finish in the US) is around USD 34,000. Candidates can save INR 55+ Lakhs compared to a full-time US Master’s Degree.

Working professionals, as well as freshers who meet the prerequisites, can apply for the program. 

While a background in mathematics and statistics is advantageous, it is not required. Required concepts will be covered for you in the pre-course work. 

In case of any problems during the program, students can contact Great Learning's Program Support. Students receive the necessary guidance and structure to successfully complete the program, including a dedicated program manager to answer all questions, mentorship from industry experts, and peer interaction to build a network.

Not for India. But yes, for the rest of the world. Same as Online programs. 

To find out the English proficiency requirements for other nationalities, please refer to: https://grad.arizona.edu/catalog/intladmissionsreqs/

Note: TOEFL scores or similar may be required if the student is hired as a Graduate Assistant, especially in Teaching Assistant roles (https://grad.arizona.edu/funding/ga/english-speaking-proficiency-evaluation).

Yes. GRE or GMAT scores are not required to study for this master's degree in the USA.

• Students who secured their bachelor's degree outside of the US: You can apply for this program if your transcript review indicates that your degree is equivalent to 120 credit points.

• Students who secured their bachelor's degree in the US: You're eligible to apply if you have a 4-year bachelor's degree.

Here are the eligibility requirements for the MS in Information Science and Machine Learning:

• 4-year accredited bachelor, OR

• 3-year accredited bachelor + master, OR

• 3-year accredited bachelor + post-grad diploma, OR

• 3-year bachelor by itself provided the degree is at least 120 credits, AND

• The degree has been earned in Division I, and the institution is accredited by the National Assessment and Accreditation Council (NAAC) with an institutional score of 'A' or better.

Note: Graduate applicants from India are not required to provide an English proficiency test (IELTS/TOEFL) for admission to the Graduate College; however, some degree programs may require proof of English Proficiency. Please see the course for specific requirements. Also, students from India must demonstrate English proficiency to work as graduate teaching assistants/associates.

To find out the English proficiency requirements for other nationalities, please refer to: https://grad.arizona.edu/catalog/intladmissionsreqs/