Master of Science in Data Science
5 out of 6 learners get positive career growth
upGrad Results reviewed by Deloitte
In association with
Blended
Class StructureRecommended 12-15 hrs/week
-- MonthsStart Date
Coming SoonAlumni Status
University of Arizonaby U.S. News and World report
Top 100 (Best Global Universities in the world)About the Programme
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
Program Overview
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
Syllabus
Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects.
Top Skills You Will Learn
Job Opportunities
Who Is This Programme For?
Minimum Eligibility
Programming Languages and Tools Covered
Explore our Learning Platform
Global Lecturers
Learn from leading Data Science faculty and industry leaders
Dr. Venkatesh Sunkad
Dr. Saunak Dutta
Behzad Ahmadi
S. Anand
Dr. Shonraj Ballae Ganeshrao
Shiva Prasad Koyyada
Georgios Ouzounis
Shailesh Kumar
Syllabus
Pre Course Requisites
- Fundamentals of Calculus and Probability
- Basics of R Programming
- Basics of Python Programming
- Tools Covered: Python and R Programming
Course 1 - Data Analysis and Visualization
- Functional Programming in Python
- Data Structures and Algorithms
- Database Design and Introduction to MySQL
- Tableau
- Essential Data Science Tools: Github and Jekyll
- Tools Covered: Python, MySQL, Tableau, Github and Jekyll
Course 2 - Data Mining and Discovery
- Libraries for Data Science: Numpy, Pandas
- Advance Visualisation
- Exploratory Data Analysis
- Inferencing from Data with R
- Hypothesis Testing with R
- Tools Covered: R programming, Numpy, Pandas, matplotlib, seaborn and ggplot
Course 3 - Introduction to Machine Learning
- Building Linear Regression Models from Scratch
- Linear Regression practical applications
- Logistic Regression
- Decision Trees
- Random Forest
- PCA
- Clustering
- Bagging, Boosting and Regularization
- Model Selection and Feature Engineering
- Tools Covered: Python, sklearn and matplotlib
Course 4 - Data Base Development and Management
- Advance SQL
- Introduction to NoSQL
- Tools Covered: MySQL, NoSQL and MongoDB
Course 5 - Data Warehousing and Analytics in the Cloud
- Introduction to Cloud
- Elastic Provision Services of Cloud and Setting up Cloud
- Introduction to HDFS
- Hive Querying
- Introduction to Spark
- Handling Big data with Spark
- SparkML
- Tools Covered: AWS, Hive, Apache Spark, SparkML, Spark Streaming and Pyspark
Capstone Project - 1
- Best practices for Effective Communication
- Capstone Project
Course 6 - Neural Networks
- Introduction to Neural Networks
- CNN
- RNN
- Computer Vision
- Tools Covered: Python, OpenCV, TensorFlow, YOLO, SSD and MaskRCNN
Course 7 - Applied Natural Language Processing
- Lexical Processing
- Syntactic Processing
- Semantic Processing
- Introduction to Attention Mechanism
- Advanced Language Models: BERT, GPT
- Tools Covered: Python, NLTK, Spacy, BERT, GPT and TensorFlow
Course 8 - Managing the Digital Information Environment
- Structured Problem Solving
- Data Storytelling
- Framework to DS/ML solution building strategy
- Building Data Architecture
- Introduction to MLOps
- Introduction to Data and Model Lifecycle
- Tools Covered: REST API, Python, TensorFlow, Kubeflow, Flask, Kubernetes and Docker
Course 9 - Ethical Issues in Information
- Ethical Foundations
- Ethics in Data
- Ethics in Modelling
Capstone Project - 2
- Capstone Project - 2
Industry Projects
Credit Card Fraud Detection
Predict fraudulent credit card transactions with the help of machine learning models.
Style transfer using GAN
Use a variant of GANs i.e. CycleGAN, to translate the style of one MRI image into another.
Sales forecasting
Analyse the sales data for a retail giant and forecast sales using deep neural networks.
Eye for Blind
Build the model that will convert the contents of an image and output the audio.
Sentiment Based Product Recommendation System
Perform sentiment analysis on the reviews of the products and provide recommendations
News Recommendation System
Recommend news articles to users based on their preferences
Stack Overflow Case Study
Perform exploratory data analysis using cloud services on stack overflow data set.
Uber Case Study
Analyse the Uber dataset to understand the demand and supply of cab services.
Data Warehousing Case Study
You will work on telecom industry data and learn ETL and Data ingestion, Sqoop, Hive, Oozie.
Real Time Twitter HashTag Analysis, using Spark Streaming
You will perform the Twitter hashtag analysis on real-time data using Spark Streaming.
Recommendation System, using ALS (Alternating Least Squares)
Recommendation system is built using ALS algorithm in Spark.
Market Basket Analysis, using Apriori Algorithm
You will implement market basket analysis using Spark with the help of Apriori algorithm.
NYC Taxi Fare Prediction
Build a pricing model to predict the fare of a taxi ride using the set of attributes.
Telecom Churn Prediction
Classification model is built to predict the churning of the customer from telecom network.
Recommendation System using PCA and KNN
Implemented the movie recommendation system by reducing the dimensionality using PCA algorithm.
E-Commerce Assignment
Analyse a clickstream dataset of a cosmetics store using Hive and extract valuable insights.
Speech Recognition
Learn Google speech-to-text and make a model using deep learning.
Gesture Recognition
Build a gesture recognition model for a Smart-TV, using a 3D convolution Network.
The upGrad-Insofe Advantage
Learning Support
- Receive unparalleled guidance from industry mentors, teaching assistants and graders.
- Receive one-on- one feedback on submissions and personalised feedbacks on improvement
- Student Support is available 7 days a week, 24*7
- You can write to us via studentsupport@upgrad.com or for urgent queries use the" Talk to Us" option on the learn platform.
Doubt Resolution
- Timely doubt resolution by Industry experts and peers
- 100% Expert-verified responses to ensure quality learning
- Personalised expert feedback on assignments and projects
- Regular live sessions by experts to clarify concept related doubts
Networking
- Live sessions by experts on various industry topics
- One-on-one discussion and feedback sessions with industry mentors
Admission Process
Step 1
Score 50% on the INSOFE Entrance Exam
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
Over 500 Careers Transformed
Program Fees- Indian Residents
₹ NaN (Incl. GST)*
Empowering learners of tomorrow
Our Learners Work At
Disclaimer
- *Exemption for students with a bachelor's degree from an institution where medium of instruction was English. Subject to verification.
- *Exemption for students with a bachelor's degree from an institution where medium of instruction was English. Subject to verification.
- Based on upGrad NPS response data obtained from ~1252 learners, between 2nd Oct'21 to 18th Oct'21 for upGrad courses*. The review was performed by Deloitte Touche Tohmatsu India LLP. upGrad is a platform to facilitate program delivery by educational institutions and is not a college or a university itself. *programs.upgrad.com/disclaimer_courselist
Refer someone you know and receive Gift vouchers worth INR 3,000!*
*Referral offer is valid only on the Masters in Data Science Program
Frequently Asked Questions
Course Curriculum
What is the Master's in Data Science with upGrad?
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.
What should I expect from the Master's Degree in Data Science?
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.
What should I NOT expect from the Master's Degree in Data Science?
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.
What type of learning experience should I expect?
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.
Is any certification granted at the end of the program?
Post successful completion of the program, a Masters in Data Science would be granted from the University of Arizona.
Time Commitment
What is the time commitment expected for the program?
At least 12-15 hours per week of time commitment is expected to be able to graduate from the program.
Career Prospects and Support
How will my doubts/questions be addressed in an online 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.
Refund policy/Financials
What is the program fee for the Master's Degree in Data Science?
The program is priced at INR 8,85,000 (including taxes).
Is there a refund policy for this program?
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.
Which banks allow using 0% Credit card EMI or Credit card EMI?
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).
Will I have to pay any extra amount for the EMI transaction?
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.
Are there any fees or down payment?
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.
Can I use my International credit card for 0% credit EMI or Credit Card EMI?
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.
Are there any charges in case I opt for cancellation/refund from the course after paying balance with no cost EMI?
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.
How can I opt for Credit card EMI if my bank is not listed in the 0% Credit card EMI or Credit card EMI?
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.
Selection Criteria
How do I know if the program is right for me?
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.
My current role does not include exposure to data. Does it make sense for me to opt for this program?
What is the application process for the program and what are the timelines?
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
Is there any minimum educational qualification required to take this program?
Minimum 16 years education (with minimum 70% score | medium of instruction - English) from an accredited college or university.