Overview
The Data Science M.Sc. at Rowan University provides students with the advanced technical expertise required to manage and interpret massive datasets. This programme focuses on the intersection of algorithms, statistics, and technology to facilitate informed decision-making in various professional sectors. Students gain hands-on experience in managing streamed data and performing visual analysis on structured and unstructured information.
Why Data Science at Rowan University?
Rowan University offers a rigorous academic environment that bridges the gap between theoretical data modeling and practical application. The curriculum is specifically tailored to provide expertise in statistical machine learning and data warehousing, ensuring graduates are prepared for the demands of modern industry. Students benefit from a flexible structure that allows for deep specialisation through a wide range of elective banks and research-focused thesis options.
Tuition Fee Breakdown
- International fee: USD 877 per credit
- National fee: USD 877 per credit
- Local fee: USD 877 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
Syllabus
The curriculum comprises 11 courses totaling 30 graduate semester hours. Modules may include:
- Computer Science Graduate Seminar
- Data Mining
- Applied Multivariate Data Analysis
- Big Data Tools and Techniques
- Data Warehousing
- Machine Learning
- Visual Analytics
- Pattern Recognition
- Probability and Mathematical Statistics
Careers with Data Science
Graduates of this programme are well-positioned to advance their professional standing in the rapidly evolving field of data analytics. The training provided enables students to pursue high-level roles involving complex data sets and predictive modeling across numerous industries. By strengthening technical skills in machine learning and data architecture, the programme prepares individuals for leadership positions in data-driven organisations.
Programme Structure
Courses include:
- Data Warehousing
- Data Mining
- Applied Multivariate Data Analysis
- Patient Data Understanding
- Data Quality and Web/Text Mining
- Visual Analytics
Key information
Duration
- Full-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
- Glassboro, United States
Disciplines
Data Science & Big Data View 470 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
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- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Completed Application Form
- $65 (U.S.) non-refundable application fee
- Bachelor’s degree (or its equivalent) from an accredited institution of higher learning
- Official transcripts from all colleges attended (regardless of number of credits earned)
- Current professional resume
- Typewritten statement of professional objectives
- Two letters of recommendation
Tuition Fees
-
International Applies to you
Applies to youNon-residents26310 USD / year≈ 26310 USD / year - Out-of-State26310 USD / year≈ 26310 USD / year
-
Domestic
Applies to youIn-State26310 USD / year≈ 26310 USD / year
Living costs
Glassboro
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Financing
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Funding
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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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