Master of Science in Data Science

The Master's degree is an engaging yet rigorous 24-month online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The certification is awarded by University of Arizona.

Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.

The program is NOT going to be easy. It will be requiring at least 12-15 hours of time commitment per week, applying new concepts and executing industry relevant projects.

The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning. 

Post successful completion of the program, a Masters in Data Science would be granted from the University of Arizona.

At least 12-15 hours per week of time commitment is expected to be able to graduate from the program.

Preparatory Support: Mentoring on how to make the best resume for a data professional, highlighting technical and domain expertise. Data Science interview preparation and interview mentoring by industry experts.

Access to Opportunities: Profiles of students will be circulated in upGrad's network of companies. For learners with 5+ years of experience, it becomes more difficult to convert these opportunities than others. For them, it's more about how to inculcate data-driven leadership in the current job and plan a transition into Data analytics or Data Science in the medium-to-long run.

Peer-to-peer discussion forum where you can post your queries and your peers/faculty/teaching assistants answer your queries within a day. Regular Q&A sessions with faculty to get clarification on conceptual doubts.

Click here to refer to our Refund policy.

If you like finding meaningful insights from data and if you get excited by the prospect of informing business decisions through analysis and have an analytical bend of mind, then this program is meant for you. As long as you are able to clear the selection test (or are exempt) and are excited about the transition to Data Science, this program is meant for you.

Absolutely! Data Science is becoming a necessity for all industries and is no more a choice. Hence, there is a critical demand for quality data professionals and because the supply is constrained, this is one of the most lucrative career options across industries.​

Step 1: Take the English Proficiency Test

• University of Arizona accepts the following English Proficiency test scores: IELTS, TOEFL, Pearson PTE Academic, CEPT Full Academic.

Step 2: Take the Eligibility  Test and Submit your SOP

• The online test will check your aptitude, mathematical & programming skills. At the end of this test, you will be asked to submit an SOP(~500words)

Step 3: Receive your Offer Letter and Block your Seat

• The application will be reviewed by upGrad & University of Arizona. Upon qualifying, an offer letter will be released. You can then block your seat!

To be eligible for the program, the following criteria need to be fulfilled:

• Bachelor’s Degree (with minimum 50% score | medium of instruction - English) from an accredited college or university recognised by the University of Arizona.
• 4 year accredited Bachelor's OR 3 year accredited Bachelor's + Master's OR 3 year accredited Bachelor's + Post Graduate Diploma OR 3 year Bachelor’s 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
• Completed Undergraduate-Level Mathematics Coursework and be familiar with Computer Programming (Candidates without coursework in Mathematics would be considered on a case-to-case basis based on profile and entrance test scores).