Overview
The Master of Science in Data Science at the University of Notre Dame is an innovative programme offered by the Department of Applied and Computational Mathematics and Statistics (ACMS). This degree is designed to equip students with advanced skills in data analysis, statistical methods, and computational techniques. With a focus on practical applications, the programme prepares graduates for a variety of roles in the rapidly evolving field of data science.
Why Data Science at University of Notre Dame?Notre Dame is renowned for its academic excellence and commitment to student success. The university's Data Science programme is distinguished by its collaboration with faculty from various departments, including Computer Science and Engineering and the Mendoza College of Business, ensuring a multidisciplinary approach. The small class sizes foster a supportive learning environment, while exclusive immersion weekends provide hands-on experiences that enhance theoretical knowledge.
Tuition Fee BreakdownThe tuition fees for the Data Science programme are set at USD 11,800 per semester for both national and international students. This fee structure is designed to reflect the high-quality education and resources provided by the university. Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus- Foundations of Data Science
- Statistical Methods for Data Analysis
- Machine Learning and Predictive Analytics
- Big Data Technologies
- Data Visualisation Techniques
- Ethics in Data Science
- Capstone Project in Data Science
Graduates of the Data Science programme at Notre Dame are well-prepared for a range of career opportunities. Alumni have found success in various sectors, including technology, finance, healthcare, and consulting. Specific roles include data analyst, data scientist, machine learning engineer, and business intelligence developer, showcasing the programme's effectiveness in meeting industry demands.
Programme Structure
Curriculum
- In our master’s in data science courses, you’ll develop knowledge and skills in computing, mathematics, statistics, communication, and ethics.
- You’ll learn how to collect, analyze, and create meaningful insights from data, bringing together the technical skills, quantitative aptitude, and analytical insight required to excel in the industry—and you’ll do it all in a structured data science curriculum that helps you avoid navigating complex elective models.
Key information
Duration
- Part-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- South Bend, United States
Disciplines
Data Science & Big Data View 194 other Masters in Data Science & Big Data 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
- GRE General Test optional
- TOEFL, IELTS, or Duolingo for non-native speakers of English
- Resume
- Official transcripts from each post-secondary institution; one must show conferral of a bachelor's degree. (Due upon enrollment)
- Statement of intent
- Two letters of recommendation
- Additional materials strongly recommended; refer to the program site for details
Tuition Fees
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International Applies to you
Applies to youNon-residents23600 USD / year≈ 23600 USD / year - Out-of-State23600 USD / year≈ 23600 USD / year
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Domestic
Applies to youIn-State23600 USD / year≈ 23600 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 Data Science.
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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