This full-time master’s program is offered in a blended format where students will spend their time learning online over the week and attend in-classroom sessions over the weekend. We believe the level of applied knowledge is imparted better in a classroom where students get the benefit of interacting with the professors in person and also get a hands-on experience of practical scenarios.
Weekend classroom sessions to accommodate different work commitments
In-depth theoretical and lab sessions on various data science, AI, and ML concepts
100% career support by upGrad
Key Highlights
"Our aim is simple: We strive to create high-impact, hands-on
experiences that prepare students for meaningful and productive careers.”
- Ronnie
Screwvala, Co-Founder, upGrad
Python, BD processing using Spark, Deploy ML Models, Supervised & Unsupervised ML Models, Predictive Analytics & Statistics
Big Data Analyst, Data Engineer, Data Scientist,
Machine Learning Engineer
Managers and Aspiring Managers, MBA Graduates, Engineers, Professionals in various domains
- Minimum 16 years education (with minimum 50% score | medium of instruction - English) from an accredited college or university.
- 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).
Learn from leading Data Science faculty and industry leaders
Industry-Driven Case Studies
Live Sessions
Capstone Projects
Hours of Learning
Learn through real-life industry projects sponsored by top companies across industries
Average Salary Hike
Highest Salary Offered
Career Transitions
Sessions by an industry expert for a small group of 10-12 learners with similar profiles to discuss real life applications of concepts and personalised coaching
Learn MoreGet a dedicated career coach to help you stay on track to achieve your career goals, coach you on your profile, and support you in your career journey.
Learn MoreGet personalised career landscaping from experts to chart out best opportunities
Learn MoreSupport in polishing your hard skills and soft skills for interview preparation
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*100% education loan assistance
The credit facility is provided by a third party credit facility provider and any
arrangement with such third party is outside upGrad-Insofe purview.
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.
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.
The program is priced at INR 10, 00, 000 (including taxes).
No cost EMI is available on credit cards from all major banks (American Express, Bank of Baroda, HDFC Bank, ICICI Bank, IndusInd Bank, Kotak Mahindra Bank, RBL Bank, Standard Chartered, Axis Bank, Yes Bank).
If you are availing 0% credit card EMI, upGrad will not charge any processing fees or down payment for these transactions. Your bank may levy GST or other taxes on the interest component of the EMI.
Certain banks charge nominal processing fees between INR 99 - 500 on 0% Credit Card EMI transaction. If charged will be billed in the first repayment installment.
Only the Indian bank Credit cards can be used. But you can pay the amount using the Credit card option in one shot / part payments and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions, this will be purely between you and your bank.
Yes, there will be additional charges to the extent of interest paid by the upGrad to the bank, you will be refunded only Principal amount, i.e. the amount actually deducted/blocked from your card. This deduction will be in addition to the amount mentioned in the refund policy shared with your offer letter.
You can pay the amount using the Credit card option in one shot / part payments and later you can convert into EMI from your respective bank. The tenures and interest charged will depend on your bank. upGrad will not charge any processing fees or down payment for these transactions.
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.
The admission process is as following:
Step 1: Score 50% on the INSOFE
Step 2: Excel in the interview round
Step 3: Submit a Statement of Purpose, English Language Proficiency scores, and recommendation letters
Step 4: Receive admission to the MS in Data Science
Minimum 16 years education (with minimum 70% score | medium of instruction - English) from an accredited college or university.