Studyportals

Applied Data Science

Coursera

Master Online
12 months
Duration
42262 USD/year
31688 USD/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

Launch or advance your data science career with a hands-on Master of Applied Data Science offered by Coursera in partnership with one of the best-ranked universities in the world: University of Michigan!

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Overview

The Master of Applied Data Science offered by Coursera in partnership with the University of Michigan is designed for people who want to become a data scientist by learning skills from hands-on projects. You’ll work with real datasets to learn how to put data to work to improve everything from business success to people’s lives.

As a MADS degree student, you will learn systems and techniques that help organizations overcome data overload and make sound, smart decisions. Whether you’re looking to create real estate market forecasts or use data to study Russian literature, the MADS degree program teaches you the fundamental principles of data science so you’re equipped to tackle challenges in an ever-changing field.

The MADS curriculum prepares you to be a leader in your field. You’ll master core data science concepts like machine learning and natural language processing. To get prepared to succeed within today’s organizations, you’ll dive deep on key topics such as privacy, data ethics, and persuasive communication. You’ll work with authentic industry data sets from top companies. From your very first course, you’ll start building a work portfolio to showcase your skills for employers.

Career

Graduates of this program will be prepared to become data scientists in the fields of their choice. Graduates from the on-campus Master of Science in Information program have a 98%+ job placement rate and go on to become Data Scientists at top companies such as Google, Facebook, and Amazon.

Programme Structure

Courses include:

  • Computational methods to deal with big data
  • Exploring and communicating data
  • Visualizing data using multiple methods
  • Analytic techniques
  • Data science application in context

Key information

Duration

  • Part-time
    • 12 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

34 alternative credits

Delivered

Online

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
100 (required)
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

  • An undergraduate degree
  • A score of at least 100 on the Internet-based Test of English as a Foreign Language (TOEFL) for non-native speakers of English
  • A good basic knowledge of Python programming language and introductory statistics (Applicants will take two assessments)
  • No Graduate Record Exam (GRE) or other exams required

Tuition Fee

  • International

    42262 USD/year
    Tuition Fee
    Based on the original amount of 42262 USD for the full programme and a duration of 12 months.
  • National

    31688 USD/year
    Tuition Fee
    Based on the original amount of 31688 USD for the full programme and a duration of 12 months.

Funding

UMSI is committed to providing education to highly qualified students regardless of financial status. Unlike most online degree programs, the Master of Applied Data Science offers the opportunity for scholarships in addition to other types of financial aid. The information you provide on your application will be used to help determine your eligibility for those scholarships. We expect more than half of our online students will receive some financial support.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Getting a Student Visa

This is an online programme. You can attend from the comfort of your chair! So you don't need a student visa!

Our partners

Applied Data Science
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Coursera

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