Overview
Why Data Analytics - Big Data Systems at Pennsylvania State University?Pennsylvania State University is renowned for its commitment to excellence in education, consistently ranked among the top institutions for online graduate programmes by U.S. News & World Report. The university's World Campus offers a robust online learning environment, ensuring that students receive the same high-quality education as their on-campus counterparts. The programme is backed by a strong partnership among various academic departments, allowing students to benefit from a diverse range of faculty expertise in data analytics, computer science, and related fields.
Tuition Fee BreakdownThe tuition fees for the Data Analytics - Big Data Systems programme are as follows:
- National and International Students: USD 12,933 per semester
- Local Students: USD 12,933 per semester
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the Data Analytics - Big Data Systems programme is structured to provide comprehensive training in data science and analytics. Students will engage in core courses, specialised modules, and electives, culminating in a capstone project. The course structure includes:
- Core Courses (9 credits):
- Data Mining
- Foundations of Predictive Analytics
- Applied Statistics
- Big Data Systems Option Courses (9 credits):
- Data Collection and Cleaning
- Large-Scale Database and Warehouse
- Large-Scale Databases for Real-Time Analytics
- Electives (9 credits):
- Deep Learning
- Reinforcement Learning
- Natural Language Processing
- Data Visualization
- Enterprise Analytics Strategies
- Culminating Experience (3 credits):
- Design and Implementation of Analytics Systems
Graduates of the Data Analytics - Big Data Systems programme can pursue a variety of roles in the data analytics field. Typical job titles include:
- Data Analyst
- Data Architect
- Data Engineer
- Data Scientist
- Data Operations Director
The employment outlook for these positions is promising, with substantial growth projected in related fields such as Data Science and Computer Systems Analysis. The programme equips students with the skills needed to thrive in sectors ranging from technology to finance, ensuring a wide range of career opportunities post-graduation.
Programme Structure
Courses included:
- Data Collection and Cleaning
- Large-Scale Database and Warehouse
- Large-Scale Databases for Real-Time Analytics
- Deep Learning
- Reinforcement Learning
- Natural Language Processing
Key information
Duration
- Part-time
- 12 months
Start dates & application deadlines
- Starting
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Language
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Credits
Delivered
Campus Location
- University Park, United States
Disciplines
Data Science & Big Data Information Systems Data Analytics View 192 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
- GPA — Postsecondary (undergraduate), junior/senior (last two years) GPA of 3.0 or above on a 4.0 scale is required.
- Official transcripts from each institution attended
- Test Scores — GRE/GMAT scores are NOT required and will not be reviewed
- English Proficiency
- References (2)
- Statement of Purpose
- Vita or Résumé
Tuition Fees
-
International Applies to you
Applies to youNon-residents25866 USD / year≈ 25866 USD / year - Out-of-State25866 USD / year≈ 25866 USD / year
-
Domestic
Applies to youIn-State25866 USD / year≈ 25866 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics - Big Data Systems.
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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