This full-time master’s program is offered in a blended mode. We believe the level of applied knowledge is imparted better in a classroom environment, hence the hands-on practical sessions are done in a classroom.
Hybrid 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-INSOFE
"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
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects.
Predict fraudulent credit card transactions with the help of machine learning models.
Use a variant of GANs i.e. CycleGAN, to translate the style of one MRI image into another.
Analyse the sales data for a retail giant and forecast sales using deep neural networks.
Build the model that will convert the contents of an image and output the audio.
Perform sentiment analysis on the reviews of the products and provide recommendations
Recommend news articles to users based on their preferences
Perform exploratory data analysis using cloud services on stack overflow data set.
Analyse the Uber dataset to understand the demand and supply of cab services.
You will work on telecom industry data and learn ETL and Data ingestion, Sqoop, Hive, Oozie.
You will perform the Twitter hashtag analysis on real-time data using Spark Streaming.
Recommendation system is built using ALS algorithm in Spark.
You will implement market basket analysis using Spark with the help of Apriori algorithm.
Build a pricing model to predict the fare of a taxi ride using the set of attributes.
Classification model is built to predict the churning of the customer from telecom network.
Implemented the movie recommendation system by reducing the dimensionality using PCA algorithm.
Analyse a clickstream dataset of a cosmetics store using Hive and extract valuable insights.
Learn Google speech-to-text and make a model using deep learning.
Build a gesture recognition model for a Smart-TV, using a 3D convolution Network.
*Referral offer is valid only on the Masters in Data Science Program
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 8,85,000 (including taxes).
1. You can claim a refund for the amount paid towards the Program at any time, before the Program Start Date, by visiting www.upgrad.com and submitting your refund form via the "My Application" section under your profile. You can request your Admissions Counselor to help you in applying and withdrawing for a refund by sending them an email with reasons listed. Processing fee of INR 10,000/- will be levied. If less than INR 10,000/- have been paid in total, you will not be eligible for any refund in such a case.
2. If the provisional admission to the University of Arizona is not confirmed by the University of Arizona, learners shall be eligible for a complete refund.
3. Learner shall not be eligible for any refund under any circumstances if any such refund requests are raised post Batch Start Date and the learner will continue to pay the EMI for the loan (if applicable) and such loan cannot be canceled.
4. In case of a refund, the learner will be solely responsible for any cancellation of the loan, including but not limited to applicable loan cancellation charges levied on the total canceled loan amount.
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.
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.