Overview
Why Data Science at Clemson?Clemson University's Master of Science in Data Science and Analytics has been recognised among the top 10 Best Online Masters in Data Science Programs by Fortune in 2024. This prestigious ranking underscores the programme's commitment to excellence and its alignment with industry demands. The programme is uniquely structured to cater to the needs of current professionals, ensuring that graduates are well-prepared to tackle the challenges of today's data-driven landscape. At Clemson, students benefit from a multidisciplinary approach that integrates statistics, mathematics, computer science, and business management. This breadth of knowledge is essential in today's competitive job market, allowing graduates to develop both specialised skills and a comprehensive understanding of various fields. The programme is designed to foster connections with industry leaders, providing students with networking opportunities that can enhance their career prospects significantly. The online format of the M.Sc. in Data Science and Analytics allows for flexibility, making it an ideal choice for those balancing work and study. The programme is tailored to ensure that students can apply what they learn in real-time, enhancing their professional capabilities while pursuing their degree. With cohorts starting every Summer, students can join a community of like-minded individuals who share their passion for data science.
Tuition Fee BreakdownThe tuition fees for the Master of Science in Data Science and Analytics are as follows:
- International Fee: USD 28,562 per year
- National Fee: USD 28,562 per year
- Local Fee: USD 13,222 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe M.Sc. programme consists of a total of 30 credit hours, divided equally between the School of Mathematical and Statistical Sciences and the Department of Management. The curriculum is designed to equip students with essential skills in data analysis and management. Key areas of study include:
- Statistical Methods
- Data Mining Techniques
- Machine Learning Applications
- Data Visualisation
- Business Analytics
- Decision Sciences
Graduates of the M.Sc. in Data Science and Analytics programme are well-prepared for a variety of career paths. They often find employment in sectors such as manufacturing, military, government, and healthcare administration. The skills acquired through this programme enable alumni to take on roles such as data analysts, business intelligence specialists, and management consultants. The diverse background of students enriches the learning experience and prepares them for collaborative work environments, making them valuable assets in any organisation.
Programme Structure
Courses Include:
- Business Intelligence and Analytics for Managerial Decision Making Bootcamp
- Statistical Computing
- Statistical Methods
- Analytics and application Development
- Advanced Mathematical Programming
- Data Management and Warehousing
Key information
Duration
- Part-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Clemson, United States
Disciplines
Data Science & Big Data Data Analytics View 192 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
- The Clemson University Graduate School oversees the admissions process for all graduate programs at Clemson University.
- Criteria used in making decisions will vary according to the college and program you’re applying for, but all decisions include an evaluation of your potential for graduate-level work and the ability of a program to accommodate additional students.
- Typically, each academic department accepting graduate students will form an admissions committee and review all requests, then forward the committee’s recommendations to the Graduate School for final approval and processing.
Tuition Fees
-
International Applies to you
Applies to youNon-residents29276 USD / year≈ 29276 USD / year - Out-of-State29276 USD / year≈ 29276 USD / year
-
Domestic
Applies to youIn-State13562 USD / year≈ 13562 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 and Analytics.
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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