Major Title: Data Science and Analytics
Major Description:
This major provides a comprehensive understanding of extracting insights from complex datasets through statistical analysis, machine learning, and data visualization. Students will master the complete data lifecycle - from collection and cleaning to analysis and decision-making - while developing technical expertise in programming, database management, and predictive modeling. The program emphasizes real-world applications across industries including business, healthcare, finance, and technology.
Learning Objectives:
- Develop proficiency in Python/R programming for data analysis
- Master statistical modeling and machine learning techniques
- Learn big data technologies (Hadoop, Spark) and cloud platforms
- Design effective data visualizations and dashboards
- Apply analytical methods to solve business problems
- Understand ethical considerations in data handling
- Develop storytelling skills for communicating insights
Core Curriculum:
- Foundations of Data Science
- Data types and structures
- Probability and inferential statistics
- Programming for Analytics
- Python/R for data manipulation
- SQL and NoSQL database systems
- Machine Learning
- Supervised/unsupervised learning algorithms
- Model evaluation and optimization
- Big Data Technologies
- Distributed computing frameworks
- Cloud-based analytics platforms
- Data Visualization
- Principles of effective visual communication
- Tableau/Power BI dashboard development
- Business Analytics
- Predictive modeling for decision-making
- Customer analytics and segmentation
- Data Engineering
- ETL pipelines and data warehousing
- Data quality and governance
- Domain Specializations (Choose 2):
- Healthcare Analytics
- Financial Modeling
- Marketing Analytics
- Social Network Analysis
Capstone Project:
- Solve real business problems using complete data pipeline
- Present findings to industry partners
Technical Skills Developed:
✔ Programming: Python, R, SQL
✔ Tools: TensorFlow, Spark, Tableau
✔ Cloud: AWS, Azure, Google Cloud
✔ Version Control: Git, GitHub
Career Pathways:
- Data Scientist
- Business Intelligence Analyst
- Machine Learning Engineer
- Data Engineer
- Analytics Consultant
Industry Certifications:
- Microsoft Certified: Data Analyst Associate
- Google Data Analytics Professional
- AWS Certified Data Analytics
Program Advantages:
- Industry-aligned curriculum with case studies
- Access to real datasets from partner organizations
- Emphasis on ethical AI and responsible analytics
- Portfolio development with 5+ substantial projects
This program equips students with both the technical expertise and business acumen needed to transform raw data into strategic insights, preparing them for high-demand roles in our data-driven economy.
