About this major
Data Science focuses on extracting insights and knowledge from complex data sets using statistical methods, machine learning, and computational tools. Students learn to analyze large volumes of data, create predictive models, and communicate their findings effectively.
Student Reviews Summary
Curriculum snapshot
Introduction to Data Science
Covers the foundational concepts of data analysis, including data collection, cleaning, and visualization.
Statistical Methods
Explores statistical theories and techniques essential for data analysis and interpretation.
Machine Learning
Focuses on algorithms that allow computers to learn from and make predictions based on data.
Data Visualization
Teaches the skills needed to represent data visually, emphasizing clarity and impactful storytelling.
Big Data Technologies
Introduces tools and techniques for managing and processing large-scale data sets.
Database Management
Examines the principles of database systems and their application in data science.
Career outcomes
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Business Intelligence Analyst
- Data Engineer
Pros
- High demand across industries
- Opportunities for innovation
- Strong earning potential
Considerations
- Requires continuous learning
- Can involve complex problem-solving
- May require strong programming skills
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