Master of Science in Data Science

Get a 2 year Masters in Data Science with the Latest Cutting Edge Curriculum from One of the Top 100 Best Global Universities in the World, University of Arizona. Ranked in the Top 100 (Best Global Universities in the world) by U.S. News and World report.

  • Fully Online
  • 700+ Learners
    From Singapore
  • 24 Months
    Recommended 15hrs/week
  • Dec 31, 2021*
    Start Date
  • Overview
  • Tools
  • Lecturers
  • Syllabus
  • Projects
  • Benefits
  • Hiring Partners
  • Fees
  • Reviews
  • FAQ

Program Overview

Key Highlights

  • Get access to 30+ Live Learning Sessions
  • Earn a M.Sc in Data Science structured for working professionals
  • Get access to 1350 Hours of Learning
  • Get One-on-One sessions with Industry Mentors
  • Attend Masterclasses by industry experts
  • Get University of Arizona Alumni Status
  • Learn from 25+ industry-driven case studies
  • Use our career Essential Soft Skills Program

Master of Science in Data Science from University of Arizona

Complete all the courses successfully to obtain this recognition from the University of Arizona.

  • Earn a Master of Science in Data Science degree
  • Get University of Arizona alumni status
  • Widely recognized and valued program in Data Science
Master of Science in Data Science from University of Arizona
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  • Top Skills You Will Learn
    Python, BD processing using Spark, Deploy ML Models, Supervised & Unsupervised ML Models, Predictive Analytics & Statistics
  • Job Opportunities
    Big Data Analyst, Data Engineer, Data Scientist, Machine Learning Engineer
  • Who Is This Program For?
    Managers and Aspiring Managers, MBA Graduates, Engineers, Professionals in various domains
  • Minimum Eligibility
    - 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.
    - 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).

Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects

Programming Languages and Tools Covered

Global Lecturers

Learn from leading Data Science faculty and industry leaders


Best-in-class content by leading faculty and industry leaders in the form of videos, cases and projects, assignments and live sessions
  • Pre Course Requisites
    • 3 Weeks
  • Course 1- Data Analysis and Visualization
    • 10 Weeks
  • Course 2- Advanced Data Visualization
    • 10 Weeks
  • Course 3- Database Development and Management
    • 10 Weeks
  • Course 4- Introduction to Machine Learning
    • 10 Weeks
  • Course 5- Data Warehousing and Analytics in the Cloud
    • 10 Weeks
  • Capstone Project
    • 5 Weeks
  • Course 6- Neural Networks
    • 10 Weeks
  • Course 7- Applied Natural Language Processing
    • 10 Weeks
  • Course 8- Managing the Digital Information Environment
    • 10 Weeks
  • Course 9- Ethical Issues in Information
    • 10 Weeks
  • Capstone Project
    • 5 Weeks
  • 25+
    Case Studies
  • 30+
    Live Sessions
  • 10 wks
    Capstone Projects
  • 104 wks
    Curriculum Duration

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

  • Engage in collaborative projects with student-mentor interaction
  • Benefit by learning in-person with expert mentors
  • Personalised subjective feedback on your submissions to facilitate improvement
  • Credit Card Fraud Detection
    Predict fraudulent credit card transactions with the help of machine learnin...
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  • Style transfer using GAN
    Use a variant of GANs i.e. CycleGAN, to translate the style of one MRI image...
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  • Sales forecasting
    Analyse the sales data for a retail giant and forecast sales using deep neur...
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  • Eye for Blind
    Build the model that will convert the contents of an image and output the au...
    Learn More
  • Sentiment Based Product Recommendation System
    Perform sentiment analysis on the reviews of the products and provide recomm...
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  • News Recommendation System
    Recommend news articles to users based on their preferences
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  • Stack Overflow Case Study
    Perform exploratory data analysis using cloud services on stack overflow dat...
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  • Uber Case Study
    Analyse the Uber dataset to understand the demand and supply of cab services...
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  • Data Warehousing Case Study
    You will work on telecom industry data and learn ETL and Data ingestion, Sqo...
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  • Real Time Twitter HashTag Analysis, using Spark Streaming
    You will perform the Twitter hashtag analysis on real-time data using Spark ...
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  • Recommendation System, using ALS (Alternating Least Squares)
    Recommendation system is built using ALS algorithm in Spark.
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  • Market Basket Analysis, using Apriori Algorithm
    You will implement market basket analysis using Spark with the help of Aprio...
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  • NYC Taxi Fare Prediction
    Build a pricing model to predict the fare of a taxi ride using the set of at...
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  • Telecom Churn Prediction
    Classification model is built to predict the churning of the customer from t...
    Learn More
  • Recommendation System using PCA and KNN
    Implemented the movie recommendation system by reducing the dimensionality u...
    Learn More
  • E-Commerce Assignment
    Analyse a clickstream dataset of a cosmetics store using Hive and extract va...
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  • Speech Recognition
    Learn Google speech-to-text and make a model using deep learning.
    Learn More
  • Gesture Recognition
    Build a gesture recognition model for a Smart-TV, using a 3D convolution Net...
    Learn More
The upGrad Advantage
Strong hand-holding with dedicated support to help you master Data Science
  • High ROI
    Cost Effective
    • Upgrade your career at 1/5 the cost of the same on campus program
    Learn and Earn
    • Get world class credentials without leaving your job from the comfort of your home
  • Industry Driven
    • Learn through curriculum created by the industry for the industry
    • Learn and get coached by leading industry experts from around the globe
    • Experience world class education on-demand through our proprietary app and website
    Unparalleled Support
    • Work with a dedicated upGrad buddy who will handhold you throughout the program
    • Get expert verified resolutions for all your doubts within hours
    • Weekly live sessions with industry experts on doubts, career & communication
  • Career Preparation
    • Rigorous career preparation with resume feedback, personal branding on LinkedIn
    • Career booster content to help understand how to search for jobs, prepare for interviews, negotiate your salary etc.
    • Industry mentorship - Receive mentorship from industry leaders of the domain to help you reach your desired career goal
    • Opportunity to network with accomplished professionals, faculty and industry experts from 50+ countries
    • Part of 50K+ alumni base who are working in top companies like Amazon, ESPN, Visa, Microsoft, E&Y, Accenture.
Our Learners Work At
Top companies from all around the world have recruited upGrad alumni

Admissions Process

Program Fee
USD 10,000
Apply now to know more about scholarships and loans.
  • Price after exclusive upGrad discounts, for non-US residents. Please get in touch for further details.

Empowering learners of tomorrow

How You Benefit From This Program
  • Masters in Data Science from University of Arizona
  • Get Masters in Data Science without quitting your job
  • Career Acceleration in your current role
  • Career Transition with upto average 58% salary hike
  • Stepping Stone into the field of Data Science
  • Cutting-edge curriculum designed by industry experts

Student Reviews

  • - *Exemption for students with a bachelor's degree from an institution where medium of instruction was English. Subject to verification.

Frequently Asked Questions

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