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
- Apply before
-
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Ann Arbor, United States
Disciplines
Computer Sciences Data Science & Big Data View 263 other Masters in Computer Sciences in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
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
-
International Applies to you
Applies to youNon-residents60634 USD / year≈ 60634 USD / year - Out-of-State60634 USD / year≈ 60634 USD / year
-
Domestic
Applies to youIn-State30314 USD / year≈ 30314 USD / year
Funding
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.
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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