Overview

The Master of Applied Data Science (MADS) program from the University of Michigan School will equip you with thorough preparation for managing data science from beginning to end in any number of real world contexts. It blends theory, computation, and application in a flexible online format. The MADS program includes study and application in data collection, processing, analysis, visualization, reporting, and intervention. It will enable you to learn how to draw conclusions and inform decisions with data, while being attuned to ethical considerations of data use.

About this Program

Students in the School of Information (UMSI) Master of Applied Data Science program have access to renowned University of Michigan faculty and resources. They have opportunities to build community within and beyond cohorts of other UMSI students.

In addition to rigorous data science courses and networking with faculty, students, and alumni we also offer career and professional development support from UMSI’s Career Development Office, including access to our exclusive online job board and alumni networks.

The MADS program is well suited to part or full-time students including those who are participating while employed. For example, full-time students may complete the program in one year (12 months). Part-time students may complete the program in two years (24 months) or three years (36 months).

Unlike most online degree programs, the Master of Applied Data Science offers the opportunity for scholarships in addition to other types of financial aid. All applicants are automatically considered for merit-based scholarships that will cover partial tuition.

Programme Structure

What you will learn:

Computational methods for big data
Visualizing data using multiple approaches
Analytic techniques (machine learning, network analysis, natural language processing, experiment design and analysis, causal inference, etc.)
Data science application in context (search and recommender systems, social media analytics, learning analytics, etc.)

Key information

Duration

Full-time
- 12 months
Part-time
- 36 months

Start dates & application deadlines

Starting 2024-08-28 00:00:00

Application deadline not specified.

Language

English

IELTS

6.5

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Credits

34 SCH

Delivered

Online

Disciplines

Computer Sciences Data Science & Big Data View 185 other Masters in Data Science & Big Data in United States

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

IELTS

6.5

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Other requirements

General requirements

Minimum requirements are a bachelor’s degree or equivalent and a transcript of all undergraduate and graduate programs for which you have degrees. In addition, the School of Information uses a holistic review process where we may solicit a current resume, essays, assessments, and the recommendation of supervisors or professors. Non-native speakers of English must also score 100 or higher on the Test of English as a Foreign Language (TOEFL), although some exemptions do apply.

We do not require the GRE or any other additional standardized tests for admission.

Application fees are $75 for U.S. citizens and permanent residents and $90 for international applicants. Some fee waivers are available.

Tuition Fee

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International

42262 USD/year

Tuition Fee

Based on the tuition of 42262 USD per year during 12 months.
National

42262 USD/year

Tuition Fee

Based on the tuition of 42262 USD per year during 12 months.
In-State

31688 USD/year

Tuition Fee

Based on the tuition of 31688 USD per year during 12 months.

Funding

Studyportals Student Grant Deadline: 30 June 2020

Apply and be among one of the 20 students to win €1000.

Studyportals Student Grant Deadline: 30 June 2020

Apply and be among one of the 20 students to win €1000.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

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Scholarships Information

Below you will find Master's scholarship opportunities for Applied Data Science (Online).

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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