Overview
Why Data Science and Analytics at Ferris State University?Ferris State University is renowned for its commitment to providing high-quality education in data science and analytics. The university ranks highly among institutions for its innovative approach to teaching and strong industry connections. Students benefit from modern facilities and access to cutting-edge technology, which enhances their learning experience. The university collaborates with various industries, ensuring that the curriculum remains relevant and aligned with current market demands.
Tuition Fee BreakdownThe tuition fees for the Data Science and Analytics programme at Ferris State University are structured as follows:
- National Students: USD 740 per credit
- International Students: USD 1,115 per credit
- Local Students: USD 740 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the B.Sc. in Data Science and Analytics is designed to cover a broad range of topics essential for a successful career in the field. Key modules include:
- Introduction to Data Science
- Statistical Analysis
- Data Mining Techniques
- Machine Learning Fundamentals
- Data Visualisation
- Big Data Technologies
- Data Ethics and Privacy
This comprehensive syllabus ensures that students gain practical skills and theoretical knowledge, preparing them for the challenges of the data-driven world.
Careers with Data Science and AnalyticsGraduates of the Data Science and Analytics programme from Ferris State University have a wealth of career opportunities available to them. Alumni have successfully secured positions in various sectors, including finance, healthcare, and technology. Specific roles include data analyst, data scientist, and business intelligence analyst. The programme equips students with the skills necessary to thrive in these demanding roles, making them highly sought after by employers in a rapidly evolving job market.
Programme Structure
Courses
- Statistics
- Data Analytics
- Big data Science
- Computer Science
- Mathematics
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- Big Rapids, United States
Disciplines
Data Science & Big Data Data Analytics View 395 other Masters in Data Analytics 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
- Completed application for admission.
- Request official course transcripts from all undergraduate and graduate colleges and universities previously attended, which include confirmation of a bachelor’s degree from a regionally accredited university showing a 3.0 (out of 4.0) or above GPA on your last BS or MS degree.
- Submit a current, professional resume or curriculum vitae.
- Submit a one-page Statement of Purpose, explaining reasons for seeking admission to our program.
- Request two (2) academic or professional recommendations attesting to your ability to succeed in graduate studies.
- Applicant should show proof of familiarity with inferential statistics and some programming language.
- International students whose first (native) language is not English need to have English proficiency test scores sent directly from the testing agency to demonstrate meeting the Ferris standards for English proficiency (e.g., TOEFL, IELTS, and Duolingo).
Tuition Fees
-
International Applies to you
Applies to youNon-residents18030 USD / year≈ 18030 USD / year - Out-of-State11955 USD / year≈ 11955 USD / year
-
Domestic
Applies to youIn-State11955 USD / year≈ 11955 USD / year
Additional Details
- U.S. Residents and Canadians have the same tuition
Living costs
Big Rapids
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
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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