Courses

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
    Format
  • 700+ Learners
    From Singapore
  • 24 Months
    Recommended 12-15hrs/week
  • Jun 30, 2022
    Start Date
  • Overview
  • Certificate
  • Tools
  • Lecturers
  • Syllabus
  • Projects
  • Benefits
  • Careers
  • Hiring Partners
  • Admission Process
  • Fees
  • Refer & Earn
  • Reviews
  • FAQ

Program Overview

Key Highlights

  • Python Programming Bootcamp
  • Designed for Working Professionals
  • 9+ Programming Tools & Languages
  • Masterclasses by Industry Experts
  • Career Mentorship Sessions (1:1)
  • High-performance Coaching (1:1)
  • Just-in-time Interviews
  • Industry Readiness Assessments
  • Career Essential Soft Skills Program
  • University of Arizona Alumni Status
  • 25+ Industry-driven Case Studies
  • Exclusive Job Opportunities Portal
  • AI-powered Profile Builder
  • Personalised Industry Session
  • Career Bootcamp
  • 30+ Live Learning Sessions
  • 1350 Hours of Learning
  • Support is available all days for 24 hours
  • 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 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).

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
  • Get ID cards (chargeable) and email IDs from University of Arizona.
  • A minimum of 70% score (C grade) is required to pass each course. A minimum of 3.0 CGPA is required to pass the entire program.
Master of Science in Data Science from University of Arizona
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Programming Languages and Tools Covered

Syllabus

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

Global Lecturers

Learn from leading Data Science faculty and industry leaders

Syllabus

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

  • Course 0 - Pre Course Requisites
    • 3 Weeks
  • Course 1 - Data Analysis and Visualization
    • 10 Weeks
    • 1 Assignment
  • Course 2 - Data Mining and Discovery
    • 10 Weeks
    • 1 Assignment
  • Course 3 - Introduction to Machine Learning
    • 11 Weeks
    • 1 Assignment
  • Course 4 - Data Base Development and Management
    • 9 Weeks
    • 1 Assignment
  • Course 5 - Data Warehousing and Analytics in the Cloud
    • 10 Weeks
    • 1 Assignment
  • Capstone Project - 1
    • 5 Weeks
  • Course 6 - Neural Networks
    • 10 Weeks
    • 1 Assignment
  • Course 7 - Applied Natural Language Processing
    • 10 Weeks
    • 1 Assignment
  • Course 8 - Managing the Digital Information Environment
    • 10 Weeks
    • 1 Assignment
  • Course 9 - Ethical Issues in Information
    • 9 Weeks
    • 1 Assignment
  • Capstone Project- 2
    • 5 Weeks
  • 25+
    Industry driven case studies
  • 30+
    Live Sessions
  • 10 w
    Capstone Projects
  • 1350
    Hours of Learning

Industry Projects

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

    • Credit Card Fraud Detection
      Predict fraudulent credit card transactions with the help of machine learnin...
      Learn More
    • Style transfer using GAN
      Use a variant of GANs i.e. CycleGAN, to translate the style of one MRI image...
      Learn More
    • Sales forecasting
      Analyse the sales data for a retail giant and forecast sales using deep neur...
      Learn More
    • 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...
      Learn More
    • News Recommendation System
      Recommend news articles to users based on their preferences
      Learn More
    • Stack Overflow Case Study
      Perform exploratory data analysis using cloud services on stack overflow dat...
      Learn More
    • Uber Case Study
      Analyse the Uber dataset to understand the demand and supply of cab services...
      Learn More
    • Data Warehousing Case Study
      You will work on telecom industry data and learn ETL and Data ingestion, Sqo...
      Learn More
    • 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.
      Learn More
    • 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...
      Learn More
    • 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...
      Learn More
    • 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 1/6 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
      Flexible
      • Experience world class education on-demand through our proprietary app and website
      Unparalleled Support
      • 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
    • 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
      Networking
      • 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.

    Career Impact

    Personalised Industry Session
    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.
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    High Performance Coaching
    Get 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 More
    Career Mentorship Sessions (1:1)
    Get personalised career landscaping from experts to chart out best opportunities.
    Learn More
    Interview Preparation
    Support in polishing your hard skills and soft skills for interview preparation.
    Learn More
    Our Learners Work At
    Top companies from all around the world have recruited upGrad alumni

    Admissions Process

    Program Fee
    SGD 13,500
    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.
    Refer someone you know and receive cash reimbursements of up to $500!*

    *More details under the referral policy under Support Section

    Start Referring

    Student Reviews

    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 57% salary hike
    • Stepping Stone into the field of Data Science
    • Cutting-edge curriculum designed by industry experts

    Disclaimer

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

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