Students who have successfully completed a B.S. in Data Science from Lakeland University Japan should be able to:
- Develop a computer program using programming languages.
- Properly manage databases.
- Apply project management principles and techniques to data sciences projects.
- Assess the quality of data input, interpret results, and investigate issues for large data sets using appropriate technical methods and models.
- Use mathematical methods and statistical methods and techniques in models and data science.
- Develop a statistical model using statistical software packages.
- Formulate and use appropriate models of industrial data analysis to solutions to industry-related challenges.
Major Requirements (58-59 semester hours)
- COM 111 - Fundamentals of Public Speaking
- CPS 200 - Programming I
- DAT 210 - Database Basics
- DAT 442 - Data Management and Warehousing
- DAT 445 - Systems Analysis & Design (WI)
- DAT 452 - Information Technology Project Management
- DAT 455 - Predictive Analytics
- EXP 100 - Professional Protocol (1 semester hour)
- MAT 250 - Discrete Mathematics
Three (3) semester hours from the following:
- BUS 390 - Cooperative Education Experience–Business (1-12 semester hours)
- CPS 390 - Cooperative Education Experience–Computer Science (1-12 semester hours)
- DAT 390 - Cooperative Education in Data Science (1-12 semester hours)
- MAT 390 - Cooperative Education in Mathematics (1-12 semester hours)
- PRO 450 - Cooperative Design
Business Analysis Emphasis (30 semester hours)
- ACC 210 - Financial Accounting Principles
- BUS 225 - Lean Six Sigma
- BUS 330 - Management Principles
- BUS 340 - Principles of Business Finance
- BUS 410 - Business Law I
- BUS 491 - Business Policy and Strategy (WI)
- DAT 301 - Introduction to Data Visualization Techniques
- ECN 230 - Principles of Microeconomics
- ECN 235 - Principles of Macroeconomics
- MKT 350 - Marketing Principles
