Overview

The Applied Data Science (Online) at University of Michigan provides students with a sophisticated understanding of how to collect, analyse, and communicate complex information for the benefit of society. This master's degree focuses on the intersection of technology and people, ensuring graduates can apply data-driven solutions to real-world challenges across diverse industries.

Students engage with a multidisciplinary curriculum that blends computer science, statistics, and information science. The programme is designed to be adaptable, offering both full-time and part-time pathways to suit working professionals. By the end of the course, learners will have developed a professional portfolio featuring an end-to-end data science project that demonstrates their practical capabilities.

Why Applied Data Science (Online) at University of Michigan?

As the top-ranked public university, the University of Michigan offers a prestigious learning environment led by expert faculty from the School of Information. The programme stands out for its human-centred approach, prioritising the ethics of data use alongside technical proficiency. Students benefit from a cohort-based format that fosters collaboration while maintaining the flexibility of 100% online delivery.

Tuition Fee Breakdown

International fee: USD 60634 per year
National fee: USD 60634 per year
Local fee: USD 30314 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum covers the essential tools and methodologies required for modern data analysis. Modules may include:

Python for Data Science
Machine Learning
Natural Language Processing
Data Mining
Predictive Modelling
Data Analysis
Data Visualisation
Artificial Intelligence and Generative AI
Communicating Results

Careers with Applied Data Science (Online)

Graduates are prepared for leadership roles in a world increasingly powered by data. The programme equips students with the skills to bolster existing careers or transition into new roles within technology, finance, healthcare, and government. By mastering the full data science life cycle, alumni are well-positioned to work as data scientists, analysts, and AI specialists who can translate complex findings into actionable insights for various organisations.

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 2027-08-31 00:00:00
- Apply before 2027-07-15 00:00:00

Language

English

TOEFL^® IBT

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IELTS

6.5

IELTS & PTE Test Preparation

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Credits

34 SCH

Delivered

Online

Campus Location

Ann Arbor, United States

Disciplines

Computer Sciences Data Science & Big Data View 259 other Masters in Computer Sciences in United States

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Academic requirements

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

English requirements

TOEFL^® IBT

Schedule TOEFL®

IELTS

6.5

IELTS & PTE Test Preparation

E2 Language Test Prep

Trusted by 7M+ Students

Start Studying Today

Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.

Study on your own schedule
Live classes with current and ex-examiners
Accurate score assesment, always
E2 Score Guarantee - Get your score or your money back!

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 Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

60634 USD / year

≈ 60634 USD / year
Out-of-State

60634 USD / year

≈ 60634 USD / year
Domestic

Applies to you

In-State

30314 USD / year

≈ 30314 USD / year

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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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.

About

Overview

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

IELTS & PTE Test Preparation

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

IELTS & PTE Test Preparation

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic

Funding

Scholarships Information

Available Scholarships

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