Overview
The Master's in Applied Data Science at Clarkson University prepares students to transform vast amounts of data into actionable insights. As industries increasingly rely on data-driven decision-making, the demand for skilled data scientists continues to rise. This programme not only focuses on data collection and organisation but also on the interpretation and analysis of complex information, making graduates highly sought after across various sectors, including healthcare, finance, and supply chain management.
Why Applied Data Science at Clarkson University?Clarkson's Business Analytics programme has established itself as a leader in the field for over a decade, earning recognition as one of the top 20 master's programmes globally by Fortune in 2025. The university maintains its competitive edge by continually updating its curriculum to align with the latest trends in data analysis and visualisation, ensuring that graduates are equipped to apply their skills immediately upon completion. Students benefit from learning directly from industry experts and participating in an intensive capstone project that often includes real-world fieldwork.
Tuition Fee BreakdownThe tuition fees for the Applied Data Science programme are as follows: USD 995 per credit for both international and national students. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe 36-credit-hour curriculum consists of core courses, electives, and a capstone project:
- Database Modeling, Design and Implementation
- Probability and Statistics for Analytics
- Data Warehousing
- Information Visualization
- Data Mining
- Machine Learning
Electives cover a range of topics, including:
- Modeling for Insight
- Big Data Processing and Cloud Services
- Introduction to Big Data Architecture and Applications
- Strategic Project Management
- Marketing Research Methods
- Econometrics
- Design of Experiments
- Pattern Recognition
- Stochastic Processes for Engineers
- Artificial Intelligence
- Human Computer Interaction
- Digital Signal Processing
- Computational/Machine Learning
The capstone project involves working on sponsored data science projects, allowing students to apply their knowledge in practical settings.
Careers with Applied Data ScienceGraduates of the Applied Data Science programme are well-positioned for a variety of roles, including:
- Business Intelligence Analyst
- Clinical Analyst
- Data Analyst
- Database Administrator
- Data Engineer
- Machine Learning Engineer
Alumni have found employment at prestigious organisations such as ALM Partners, American Express, Booz Allen Hamilton, and Instagram, reflecting the programme's strong industry connections and reputation.
Programme Structure
Courses include:
- Database Modeling, Design and Implementation
- Probability and Statistics for Analytics
- Data Warehousing
- Information Visualization
- Data Mining
- Machine Learning
Key information
Duration
- Full-time
- 18 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
Language
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
Credits
Delivered
Campus Location
- Potsdam, United States
Disciplines
Data Science & Big Data View 462 other Masters in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
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
- Online Application Form.
- Resume.
- Statement of Purpose.
- 3 Letters of Recommendation.
- Official Transcripts.
- GRE Test Scores.
- For International Applicants, an English Proficiency Test is required
Tuition Fees
-
International Applies to you
Applies to youNon-residents24600 USD / year≈ 24600 USD / year - Out-of-State24600 USD / year≈ 24600 USD / year
-
Domestic
Applies to youIn-State24600 USD / year≈ 24600 USD / year
Living costs
Potsdam
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
Interested in financing your studies? Find a student loan that works for you.
Get the funding you need to study in the U.S. or Canada - with a process that's fast, simple, and built for international students.
- Flexible loans from US$2,001 to US$100,000
- Fixed interest rates -- no inflation surprises
- No upfront fees or prepayment penalties
- Accepted at 500+ universities across the U.S. & Canada
- 100% online application -- instant conditional offer
- Free visa & career support through our Path2Success program
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.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility